Contents

Executive Summary

Chapter 1: Overview

Chapter 2: Private sector development in fragile states

Chapter 3: Constraints to business growth in African fragile states

Chapter 4: Government priorities in fragile states

Chapter 5: What works—proven PSD successes in fragile environments

Chapter 6: Country case study—South Sudan

Chapter 7: Conclusion

Appendixes

Figures

Tables

References

Supporting Private Business Growth in African Fragile States

A Guiding Framework for the World Bank Group in South Sudan and Other Nations

Benjamin Leo, Vijaya Ramachandran, and Ross Thuotte
April 2012

About the authors

Benjamin Leo is a former Research Fellow at the Center for Global Development and the Global Policy Director at the ONE Campaign. Vijaya Ramachandran is a Senior Fellow at the Center for Global Development. Ross Thuotte is a Research Assistant at the Center for Global Development. The authors would like thank the Government of Denmark for generous financial support. We are also grateful to James Emery for his detailed reading of several drafts and his comments on our interpretation of the IFC data. In addition, Alan Gelb, Alvaro Gonzalez, Charles Kenny, Todd Moss, and Gaiv Tata provided extensive comments on various drafts of this report, and we would like to thank them for their efforts. John Osterman was of great help in guiding this manuscript through to publication, and Julie Walz provided excellent research assistance. The authors are solely responsible for any errors in fact or judgment.

The Center for Global Development is grateful for contributions from the Royal Danish Embassy in support of this work.

Preface

Fragile and post-conflict states pose a daunting challenge to the World Bank Group. They suffer from a combination of harsh business environments, unstable and corrupt political regimes, and rent-seeking actors. These barriers prevent private businesses from generating much-needed services, economic growth, and jobs. Viewing the private sector as the key to economic and social progress in fragile states, the authors of this report assess the programs and projects supported by the three major arms of the World Bank active in those states (the International Development Association, the International Finance Corporation, and the Multilateral Investment Guarantee Agency) and propose a strategy to improve the overall effectiveness of the Bank’s work.

Though the World Bank Group and its shareholders have made fragile states a priority in recent years, their private sector–oriented programs in the past decade have not yielded many concrete development results. Bank Group staff has been asked to improve project outcomes and to help increase the absorptive capacity of fragile states while targeting priority sectors. But there has not been a clear World Bank Group-wide strategy for fragile states operations.

Using project documents and other sources of information, the authors have compiled a comprehensive dataset on the Bank Group’s work in 14 African states (Sudan, Central African Republic, Democratic Republic of Congo, Togo, Guinea Bissau, Guinea, Liberia, Angola, Côte d'Ivoire, Republic of Congo, Zimbabwe, Eritrea, Chad, and Burundi) which are classified as fragile by the World Bank Group. The dataset describes 5,000 IDA projects, 3,700 IFC projects and 700 MIGA projects over the period 1980–2011 that focus on building the private sector in these states. These data are available for the first time in an easily accessible format and will likely serve as a valuable resource for policymakers, donors and other interested actors. Analysis of the data shows that there often does not appear to be a clear strategy driving the interventions and that they are sometimes at odds with the stated needs of policymakers and the public.

Policymakers at the World Bank and those in its shareholder countries should heed the authors’ findings if they hope to help private sector businesses grow in Africa’s most challenging investment environments. The authors’ methodical and exhaustive assessment allows them to deliver a clear message. The World Bank should design and implement projects that a) alleviate the growth constraints most identified by businesses, b) target sectors that governments have explicitly made priorities, and c) align with proven, country-specific successes. Adherence to this framework could greatly increase the chances of successful future private sector–oriented interventions in fragile states.

Nancy Birdsall
President
Center for Global Development

Acronyms

AfDBAfrican Development Bank
CPIACountry Policy and Institutional Assessment
DOTSDevelopment Outcome Tracking System
FCSFragile and conflict situation
FIASFinancial Investment Advisory Service
FYFiscal year
ICTInformation and communication technology
IDAInternational Development Association
IEGWorld Bank Independent Evaluation Group
IFCInternational Finance Corporation
IFIInternational financial institution
IRAIIDA Resource Allocation Index
IRRInternal rate of return
MDCMovement for Democratic Change
MIGAMultilateral Investment Guarantee Agency
PPIAFPublic-Private Infrastructure Advisory Facility
PPPPublic-private partnership
PSDPrivate sector development
SMESmall and medium enterprise
USAIDU.S. Agency for International Development
WFPWorld Food Programme
ZANU-PFZimbabwe African National Union–Patriotic Front

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Supporting Private Business Growth in African Fragile States

A Guiding Framework for the World Bank Group in South Sudan and Other Nations

Benjamin Leo, Vijaya Ramachandran, and Ross Thuotte
April 2012

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Executive Summary

The World Bank Group faces significant operational changes over the near to medium term. More than half of poor countries are projected to graduate from the World Bank’s International Development Association (IDA) concessional assistance over the next 15 years.[1] As a result, IDA’s country client base is projected to become dominated by African fragile states. To its credit, the World Bank Group recognizes these coming changes and the unique needs and constraints present in fragile environments. It has publicly expressed a plan to develop an organization-wide strategy tailored specifically for fragile and conflict-affected situations.

At the same time, private businesses often are able to operate in the absence of stable, well-established governments and therefore can present donor organizations with an attractive pro-growth opportunity in fragile states. After all, the overwhelming majority of African jobs come from the private sector, and private businesses are responsible for some of the most dramatic improvements in the African economic landscape over the past decade. Perhaps most impressively, the mobile telecommunications sector, comprised almost entirely of private firms, generated more than 300 million mobile phone subscribers between 2000 and 2008. Recognizing these issues, the World Bank Group must make business growth a central objective of its future strategy for fragile and conflict-affected states. The most recent World Development Report and its subsequent implementation report partially reflect this sentiment. They argue that the organization must “position fragility, conflict, and violence at the core of its development mandate” and that the Bank must “significantly adjust its operations model” to reflect this priority shift.[2] Currently, the World Bank Group is devising a new strategy that will set the tone for Group-wide strategic changes.

Scope and key findings

First, we examine three key private sector–related factors in African fragile states: what businesses cite as the most binding constraints to private sector growth; what government priorities are for business climate improvements or strategic economic sectors; and what types of projects have been more effective over time. This analysis draws upon World Bank Enterprise Survey data, a newly assembled database of African fragile state government priorities, and World Bank Independent Evaluation Group project outcome rating data. Our summary findings include:

Subsequently, we assess the alignment of World Bank Group operations within these three areas over the last decade. For this analysis, we have assembled a new database covering all World Bank Group operations in fragile states since 1980, which includes current and past fragile states (both African and non-African). Overall, we find that project alignment varies widely across the World Bank Group’s three largest subsidiaries—IDA, the International Finance Corporation (IFC), and the Multilateral Investment Guarantee Agency (MIGA). Despite several bright spots, our analysis suggests that strategic changes in the World Bank Group’s operations are needed—particularly for IFC and MIGA. Our summary findings include:

Recommendations

Based on this analysis, we propose a new guiding framework for the World Bank Group and other donor institutions for prioritizing private sector–related projects in fragile states. We recommend that private sector promotion policies prioritize three key issues: addressing the most severe constraints to private sector growth; matching the host government’s stated priorities; and targeting sectors and subsectors with proven track records, relative to other sectors (figure 1). Moreover, donor policies and projects should also contribute to broader development goals, including job creation, economic growth, broadening and strengthening of the tax base, and positive spillover effects into other economic sectors.

Figure 1

Ideally, donor institutions would pursue projects in sectors or areas where all three components intersect (what the private sector needs, what the government wants, and what donors do effectively). For example, a project to build roads in the Republic of Congo would meet all three criteria (table 1).

Table 1: Criteria to build roads in the Republic of Congo

ComponentRationale
ConstraintsAccording to a 2010 World Bank Business Enterprise survey, 57 percent of Congolese businesses cite transport as a “major constraint” togrowth
Government prioritiesTransport infrastructure is cited as a major constraint to business by the Republic of Congo’s most recent Poverty Reduction StrategyPaper
Track recordBetween 1980 and 2006, road projects in fragile and conflict-affected countries received an average rating of 2.4 of 5—a relativelyhigh score for projects in these countries
Development goalsBuilding roads would create near-term jobs for workers while providing a public good for other sectors over the medium to long term.Eventually, the tax base could be strengthened if tax-paying businesses benefited from the road network improvements

To be most effective, this framework could be applied to all segments of the World Bank Group project cycle—including policy design, ongoing operations, and exit evaluations. Operational implementation of the proposed approach clearly should be customized across subsidiaries and individual countries. But without a concerted and consistent strategy both within and across subsidiaries, World Bank Group projects will continue to perform at a suboptimal level in fragile and conflict-affected states.[4]

To help implement this framework, the World Bank Group should consider ways of addressing three central issues: improving managerial capacity to enable a bolder approach to fragile states; revising human resource strategies to attract and retain staff who are willing to take risks and understand the operating conditions in fragile states; and improving staff incentives to reward greater risk-taking and innovation. Each of these areas is enormously challenging, but must be tackled in order to successfully implement an ambitious fragile states agenda.

Notes


[1] Moss and Leo (2011).

[2] World Bank Group Development Committee (2011).

[3] World Bank Group project decisions are complex and consider a broad array of issues. Promoting private sector business growth is just one of the many priorities of the World Bank Group; this may be reflected in its project portfolio.

[4] Fragile states are often affected by violence and conflict and generally suffer from poor governance. Furthermore, large elements of the private sector in these countries may be criminalized, dominated by rent-seeking actors, or entirely informal and unregulated. As such, expectations for project effectiveness in these countries should be lower relative to non-fragile countries. However, adherence to the proposed framework would address some of the pitfalls involved in fragile state private sector growth promotion efforts and might improve their effectiveness.

Overview

In recent years, international financial institutions (IFIs) have dramatically increased their worldwide investments in the private sector—from $10 billion in 1998 to more than $35 billion in 2008.[1] In Sub-Saharan Africa, donor financing for private sector–related activities through loans, guarantees, and advisory services has also increased at a fast pace. By contrast, African fragile states overall have experienced little growth in donor projects targeting private sector activities and continue to receive infinitesimal (albeit slowly increasing) portions of World Bank Group disbursements in recent years (figure 1.1) on a per capita basis.[2] The time period for the data in figure 1.1 is 2010, which the World Bank Group considers to be a “postcrisis” period. Some disbursements in this year are countercyclical measures to mitigate the negative impact of the financial crisis. Therefore, we cannot assume that this is entirely indicative of World Bank Group disbursements in a typical year. However, countercyclical lending policies are mostly likely not the sole cause of the large discrepancy between disbursements to middle-income countries, low-income countries, and African fragile states.

Figure 1

There are a number of factors driving these low investment levels, such as small market size, high political risk, poor infrastructure, and weak legal and regulatory frameworks. Moreover, International Development Association (IDA) projects are roughly twice as likely to fail as those in nonfragile states.[3],[4] Institutional factors within IFIs themselves also have contributed to underinvestment over time. For example, the International Finance Corporation’s (IFC) risk-averse culture and mandate to earn a profit are just two factors that have led to very few investment deals in African fragile states outside of enclave sectors.[5] The current World Bank Group project portfolio reflects the realities of investing in fragile states. It also reveals some of the challenges that the World Bank Group and other IFIs might consider when scaling up their activities in fragile states over the near to medium term.

Definition of fragile states

For the purposes of our analysis, we define African fragile states according to countries’ respective IDA Resource Allocation Index (IRAI) score between 2005 and 2009.[6] Specifically, countries are defined as fragile if they fall into one of two categories:[7],[8]

Based on this approach, the countries of interest (in order of 2009 IRAI scores from lowest to highest) include: Zimbabwe, Eritrea, Sudan, Chad, Guinea-Bissau, the Central African Republic, the Democratic Republic of Congo, Togo, the Republic of Congo, Liberia, Angola, Côte d’Ivoire, Guinea, and Burundi. These 14 countries provide a variety of case studies spanning geographic regions, income groups, and natural resource endowments (table 1.1). Our diverse group of African fragile states also allows us to formulate a policy framework that may be relevant to a wider range of fragile environments.

Table 1.1: African fragile states sample and selected indicators

Country Population (millions) GDP
(USD millions)
GDP per Capita CPIA (2010) Conflict-Affected In Arrears Oil Exporter
Angola 19.0 25,901 1,364 2.8
Burundi 8.5 966 113 3.1
Central African Republic 4.5 1,054 234 2.8
Chad 11.5 3,097 269 2.4
Congo, Dem. Rep. 67.8 6,851 101 2.7
Congo, Rep. 3.8 5,067 1,348 2.9
Côte d'Ivoire 21.6 11,666 541 2.7
Eritrea 5.2 692 133 2.2
Guinea 10.3 4,108 398 2.8
Guinea-Bissau 1.6 244 148 2.7
Liberia 4.1 619 151 2.9
Sudan 43.6 22,819 524 2.4
Togo 6.8 1,719 254 2.9
Zimbabwe 12.6 4,082 323 2.0
Total 221.0 88,887 421 2.7 - - -

In its latest World Development Report, the World Bank stresses the importance of integrating security and development activities in conflict-affected and fragile state environments.[10] In operational terms, the report suggests that the World Bank Group plan to make country strategies more fragility-focused; prioritize private sector development (PSD) and job creation; realign results and risk-based frameworks; and reduce volatility in financing levels. The World Bank’s concessional financing entity—the IDA—has already been pursuing a number of evolving strategies customized for fragile state environments. While modest progress has been achieved, significant work remains. In contrast with IDA, the World Bank Group’s other subsidiaries—IFC and the Multilateral Investment Guarantee Agency—currently do not have operational strategies for fragile states. So the World Bank Group faces a number of challenges in translating the new World Development Report directives into effective programs on the ground.

Against this backdrop, we consider a range of issues and options that may help the World Bank Group and other donor organizations streamline operations and improve their effectiveness in African fragile states. First, we examine whether the World Bank Group implemented its projects in African fragile states over the last decade in order to address the most significant obstacles to business growth; country government priorities; and areas where the World Bank Group has a proven track record. In this manner, we gauge how well the World Bank Group is focusing on what is needed, what is wanted, and what works. Second, we apply this approach to assess donors’ PSD support in the newly independent nation of South Sudan.[11] Taken together, our findings suggest a somewhat mixed picture about the World Bank Group’s alignment and effectiveness in promoting PSD in African fragile states. Finally, drawing upon this analysis, we propose a number of strategic and operational policy recommendations for the World Bank Group to consider as it seeks to prioritize and improve its PSD programs in African fragile states.

Notes


[1] IFC (2010b).

[2] In this report, we use several metrics to demonstrate the relative size of World Bank Group commitments to fragile states. First, to reduce the bias of countries with larger populations receiving more commitments, we use per capita figures. Second, to gain the perspective of fragile state commitments versus commitments in other countries, we use commitment values in fragile states as a percentage of total commitment values in all countries. Third, for countries in which high-value projects are simply not feasible, we use project count metrics in relation to total Group projects in all countries.

[3] Gelb (2010).

[4] While IDA’s supply-driven resource allocation model ensures that fragile states receive substantial assistance volumes, poor project performance levels have a significant influence on the sectors targeted by IDA funding. IDA’s performance-based allocation (PBA) system does include a project portfolio quality component, which has a modest impact on each respective recipient country’s resource allocation.

[5] Of the numerous private sector–related programs and funding sources listed later in this paper, investments in fragile states constitute a small portion of overall investments. For a complete breakdown of multilateral development banks’ investments, see Perry (2011).

[6] IRAI scores are based on the World Bank’s annual Country Policy and Institutional Assessment (CPIA) exercise. They are calculated as the average of country ratings across four distinct categories: economic management; structural policies; policies for social inclusion/equity; and public sector management and institutions. The CPIA/IRAI is the principal determinant of a given country’s IDA allocation. For additional details, see www.worldbank.org/ida.

[7] Appendix 7 includes a full list of existing African “fragile states,” their IRAI scores, and categorizations. To maintain close relevance with our target countries, we have omitted island nations and non-African countries.

[8] This report’s definition of fragile states tracks largely with that of the World Bank, which defines “core” and “marginal” states as those countries with IRAI scores of below 3.0 and 3.2, respectively. Our only departure from the Bank’s definition is that we extend the period to 2005–09.

[9] This categorization also includes countries that are missing data for one or more years, but that lie below 3.0 when scored.

[10] World Bank (2011a).

[11] Appendixes 5 and 6 provide further analysis on the case studies of Zimbabwe and Somaliland.

Private sector development in fragile states

PSD in Africa

In recent years, the majority of investment in the African private sector has flowed toward the rapidly expanding telecommunications and extractive industry sectors. Between 2005 and 2008, private investors contributed 62 percent of total funding to the telecommunications industry, which has resulted in the rapid expansion of networks and profitability, as well as prospects for continued growth.[1] By illustration, African telecommunications firms generated more than 316 million mobile phone subscribers between 2000 and 2010.[2] The rapid 43 percent annual growth rate leaves plenty of room for upward movement in the sector, as mobile penetration only reached 44 percent in 2009.[3] Unlike other sectors, telecommunications growth has spanned the gamut of Sub-Saharan countries, ranging from middle-income economies to fragile states.[4] The natural resources and extractive industries have also accounted for a significant portion of African growth, contributing roughly a quarter of Africa’s growth between 2002 and 2007.[5]

While progress in the telecommunications and extractive industry sectors is promising, current signals indicate that private investors’ appetite for other sectors continues to grow and that private sector expansion could provide a valuable boost to capital- and capacity-starved fragile states. Private sector investment projects in infrastructure could provide high investment returns (as in telecommunications) for both investors and customers in fragile states. For example, “bankable” investments in electricity generation capability and infrastructure (for which there is significant consumer demand) could greatly decrease costs for businesses while generating revenue for power providers.[6]

PSD in fragile states

Theoretically, the private sector has many opportunities to thrive in environments in which traditional aid cannot succeed. For instance, the private sector can exist (and even thrive) even when there is no central government that is stable enough to accept foreign aid (for example, Somaliland). This could make the private sector a particularly viable and valuable target for economic development interventions in fragile states. Therefore, promoting private sector growth in fragile states could be one tangible first step toward better governance and more diverse, robust economies. However, despite a sound rationale for public sector intervention in the private sector, private sector development (PSD)–focused activities in fragile state environments remain vulnerable to a range of binding or limiting constraints.

Fragile states generally are categorized by very weak business climates that often restrict individual firm activities through several channels. In particular, the indirect costs of poor infrastructure, regulatory challenges (such as excessive licensing fees, bribes, and so forth), and low labor productivity can reduce profit margins and reduce incentives for business owners and prospective entrepreneurs.[7] These effects can be exacerbated in fragile states, in which governments and institutions routinely fail to administer services, enforce contracts, and reduce corruption. Political risk also is a major concern for multilateral institutions that wish to invest in the African private sector. This illustrates African fragile states’ acute need for customized financing instruments, such as political risk guarantees.

Fragile states also lack the human capital needed to operate scalable business ventures. While skilled micro-entrepreneurs may exist en masse in countries like Chad and Burundi, many of the most skilled businesspeople (such as those with formal skills in accounting, personnel management, strategic planning, risk analysis, marketing, and the like) have often left these hostile business environments for more lucrative and/or secure opportunities abroad. Although these highly skilled workers often send home substantial remittances, they frequently do not maintain local businesses in the fragile-state environment from where they came.[8]

Many firms in fragile states are also heavily constrained by what Ramachandran, Gelb, and Shah (2009) refer to as “external costs.”[9] These external or indirect costs—such as those stemming from failures in electricity service provision, transport infrastructure, and supplier networks—often erode individual businesses’ profit-making capabilities. In other words, many African firms’ “ability to produce value beyond the cost of their direct and indirect inputs is heavily constrained by the magnitude of the cost of the latter.”[10] Finally, markets for goods in nearly all of our 14 fragile states are particularly disparate and weak. Even with strong support from multilateral development banks on the supply side, the private sector will not thrive without predictable and steadily increasing demand from local consumers.

Rationale for public sector support of the private sector

Before launching into a more in-depth discussion of PSD initiatives in fragile states, we shall examine several broad theoretical rationales for public sector support of the private sector. First, it is believed that PSD activities help to create jobs and foster economic growth (the private sector accounts for roughly 90 percent of jobs in the developing world).[11] Second, many argue that the public sector should support the private sector because individual businesses are constrained by numerous government-driven limitations, ranging from corruption to lack of physical infrastructure. Third, many of these constraints result from market deficiencies that theoretically can be rectified by public sector initiatives. For example, imperfect capital markets hinder businesses—notably small and medium enterprises—by not investing in profitable projects. This often occurs because of imperfect information regarding profitability, high transaction costs, and insufficient legal frameworks and enforcement mechanisms. Relatedly, informal and small firms are often unable to pledge collateral and lack formal title rights to physical property.[12] Another example relates to governance. PSD requires an appropriate institutional framework that the private sector cannot provide for itself. While there are several examples of private sector firms joining together to help stabilize the governance environment (such as in Somaliland), most firms in fragile states are unwilling or unable to create the institutional framework necessary to promote PSD by themselves.[13]

Existing multilateral efforts—the World Bank Group

The World Bank Group and others donor organizations’ PSD goals in African fragile states broadly mirror those in other low-income countries. The key differences relate to developing policies and projects that are tailored to the more difficult operating environments.

The World Bank’s soft loan facility (the International Development Association, or IDA) has a significant presence in fragile states. All of the African fragile states are IDA-eligible borrowers, though several countries (namely, Sudan and Zimbabwe) currently are inactive due to World Bank Group loan arrears. Oil-producing African fragile states (Angola and the Republic of Congo) are above the IDA lending income cutoff, but still have access to IDA loans on “hardened terms.”[14] Although one of IDA’s specific foci is PSD, its projects in many sectors such as infrastructure and regulatory reform result in positive spillover effects for private sector businesses. Indeed, much of IDA’s contribution to the private sector may result from indirect benefits from non-PSD–focused IDA projects. IDA’s current eligibility requirements have significant implications for the institution’s future. A recent study estimates that by 2025, most IDA-eligible countries will be African fragile states—a reality that may compel IDA to restructure its strategy around fragile lending environments in the coming years.[15] By extension, adapting to the specific constraints of fragile states will be essential to IDA’s continuing success.

The efforts of the World Bank Group’s private sector arm are of particular interest. The International Finance Corporation (IFC) is a leading global player in the PSD spectrum and makes nearly 40 percent of all investments that originate from development finance institutions.[16] However, IFC’s 2010 project disbursements to African fragile states, on a per capita basis, were four times smaller than commitments to middle-income countries.[17] The smaller levels of investment in African fragile states reflect investment conditions characterized by volatility and high levels of risk, limited private sector partners, and few choices for viable investment projects. And if IFC hopes to scale up its investments in African fragile states (a World Bank Group–wide measure has been proposed in the most recent World Development Report), it must innovate its investment model.

Taken together, the World Bank Group has shown an increased level of commitment toward fragile states in recent years. During the World Bank’s spring 2011 Development Committee meeting, shareholders agreed on the following commitments:[18]

Since this World Bank Group strategy was approved only recently, it has yet to be operationalized by the individual World Bank subsidiary organizations such as IFC and IDA. However, the IFC launched its five-year Conflict Affected States in Africa Initiative in 2008 to help design and implement integrated strategies that support economic recovery in conflict-affected countries. Roughly 18 percent of total IFC advisory service expenditures worldwide are committed to World Bank–classified fragile states, which include non-African countries. Specifically, the Conflict Affected States in Africa program has four main elements: improving the business environment through regulatory reform; strengthening small and medium enterprises and support institutions (such as chambers of commerce); rebuilding financial markets and other financial institutions; and increasing private sector involvement in rebuilding infrastructure.[19] The IFC has implemented Conflict Affected States in Africa projects in several postconflict countries with severe business climate constraints, such as Burundi, the Central African Republic, the Democratic Republic of Congo, Liberia, and Sierra Leone. It continues its extensive advisory service operations in many African fragile states. IFC emphasizes the importance of these services in lieu of larger investment project operations, which it says are especially difficult in fragile environments.[20]

Although there are numerous efforts aimed at promoting African infrastructure growth (one result of which would be private sector growth), few of these initiatives have the capability and/or audacity to commit resources to fragile states. Although examined for this report, many private sector and infrastructure initiatives were not included because they do not focus on fragile states. These initiatives/institutions include NEPAD’s Infrastructure Investment Fund, DevCo (a fund overseen by the Private Infrastructure Development Group), and InfraCo (also funded by the Group). A list of selected PSD initiatives in fragile states is located in appendix 8. Of particular interest is the Public-Private Infrastructure Advisory Facility (PPIAF), which was established in 1999 to increase private sector participation in emerging markets. PPIAF provides grants to help governments create a sound enabling environment for private participation in infrastructure through activities such as framing infrastructure development strategies, organizing stakeholder consultation workshops, and designing pioneering projects.[21] PPIAF, committing about $20 million a year globally, has sponsored projects in fragile states such as the Democratic Republic of Congo, Guinea, Guinea-Bissau, Liberia, and Sierra Leone.[22] The projects often have a regional focus, and PPIAF’s 2011–13 work plan cites fragile states as one of four major cross-cutting themes for future projects.

The World Bank Group’s Financial Investment Advisory Service (FIAS) is a multidonor investment climate program that assists developing and transition economies to improve their business environments with an emphasis on regulatory simplification and investment generation.[23] FIAS also coordinates with IFC Advisory Services and other World Bank Group departments. Forty-five percent of FIAS activities in FY10 occurred in Sub-Saharan Africa, including 31 percent of its implementation expenditures in fragile and postconflict states.[24] FIAS completed five business reforms in three fragile states, including business taxation reform in Sierra Leone, construction permits in the Democratic Republic of Congo, and investment policy reforms in Guinea-Bissau. In 2011, FIAS began designing a methodology to estimate the savings accrued to firms resulting from its business climate reform support. FIAS’s client satisfaction rating has hovered around 90 percent in recent years.[25] Moreover, FIAS released a Rough Field Guide to Investment Climate Reform in Conflict-Affected Countries in 2010, which explicitly links investment climate improvement with peace-building efforts in postconflict countries. The report also provides highly detailed instructions on the design, implementation, and evaluation of investment climate reforms, including laws, regulations, and procedures that govern industry competiveness, bureaucratic efficiency, and institutional governance.[26]

The World Bank’s Doing Business project provides absolute and relative measurements of business regulations and obstacles across 183 economies. These annual reviews contain extensive data on constraints to business growth, including time and costs required to start a business, licensing fees, construction permits, and trading across borders. Unlike most private sector–oriented diagnostics, Doing Business collects data annually for nearly all of the world’s economies.[27] While the Doing Business program does not support specific business reform activities, its field analysis and findings feed into IFC, FIAS, and non–World Bank Group programs assisting fragile states (and other countries) with business climate reforms.

Promoting business growth—policy goals in fragile states

The next chapters describe the World Bank Group’s projects in some detail. But first, with a view to evaluating the efforts of the World Bank Group, we describe four key business growth–related objectives in fragile states: supporting broad-based economic growth, job creation, tax mobilization, and positive spillovers. We also introduce a conceptual framework to guide support operations that could be adapted and applied to a variety of African fragile state environments.

Broad-based economic growth

Sustained, broad-based economic growth is the critical driver for significant poverty reduction in low-income countries, particularly in view of the limited scope for income redistribution. But as the World Bank’s Commission on Growth and Development states, economic growth is not an end in itself. Rather, it is the spark to create resources and social services to support health, education, job creation, and other development goals. By illustration, one study estimated that a 2 percent rise in average household income resulted in a 1.2–7.0 percent decline in poverty rates.[28] Therefore, economic growth has major implications for poverty reduction in African fragile states.[29] Over the last 30 years, poverty levels have fallen significantly, with much of the progress being attributable to economic growth. Globalization has provided the platform to expand markets, import ideas and technology, and facilitate the movement of human capital and investment to regions that were previously largely closed off from the global economy. Although there is not one common success story, countries that have achieved sustained economic growth have maintained macroeconomic and political stability, raised investment and savings, and opened their markets. The overriding policy challenge is to determine how to apply these success stories to the poorest and most fragile countries.

The World Bank’s Commission on Growth and Development outlines several types of countries that face dramatic challenges in achieving sustained economic growth. These include Sub-Saharan countries still contending with postcolonial resource extraction models and negative spillovers from unstable and violent neighbors; small states with significant concentration in a few economic sectors highly vulnerable to exogenous shocks; governments facing comparatively high per capita costs of social services; and countries rich in natural resources facing Dutch disease and rent-seeking risks. Most African fragile states examined in this report fall into one of these categories.

Job creation

The labor market is deeply entwined with both economic growth and poverty reduction. Many African fragile states face high, persistent unemployment levels, particularly among youth and demobilized combatants, which can contribute to increased rates of violence, political instability, and higher levels of poverty.[30] Therefore, supporting job creation opportunities should be a central objective of any World Bank Group operation that aims to promote business growth. The relationship between jobs and growth is largely a two-way street: sustainable economic growth depends at least partly on the underlying labor market structure and a flexible labor force, while employment growth often depends on growth of output in the formal sector. But a key characteristic of African labor markets is the very high ratio of informal to formal sector employment.[31] Thus, although formal sector growth is essential in the long term, the informal sector often has greater capacity to absorb the ever-expanding labor force—especially in economies constrained by low formal output growth.[32] Therefore, African fragile state governments and donor organizations often need to pursue two-track approaches for supporting increased productivity within the informal sector while simultaneously improving the operating environment for formal enterprises.

Tax mobilization

A third PSD-related objective is fostering a broad, stable tax base, which contributes to improved governance, accountability, and economic growth. Domestic tax policies have the potential to strengthen government legitimacy in the eyes of constituents through increased accountability and transparency, perceived fairness, and a clear political commitment to shared prosperity.[33] Government revenues are also necessary for providing social services and can be used to support economic growth and diversification. There is considerable variation in African countries’ tax bases, with the lowest tax bases often corresponding to almost exclusive dependence on natural resource rents. Tax revenues average roughly 14 percent of GDP in African fragile states, with oil exporters Chad and the Republic of Congo on the low end with slightly higher than 5 percent of GDP and Liberia and Zimbabwe on the high end with approximately 30 percent of GDP.[34] Due to large informal sectors, most fragile states have relatively narrow tax bases. Thus, the government’s “fiscal-social contract” with the private sector is an important step toward reform. Formalizing the informal sector of the economy creates not only a broader tax base and larger stream of revenue to provide necessary services, it provides an incentive for expanded political participation.[35]

Positive spillovers and multipliers

Another driver of success is growth spillovers—when growth in one part of the country or some subset of firms impacts the growth of other firms or regions. At the country level, open borders for the flow of goods and services, along with increasing migration and flow of human capital, lead to increasingly positive spillovers. Within countries, knowledge and technology are key ingredients in the development of industry, and can be shared across firms. Also, firms in fragile states may be able to “borrow” knowledge cheaply, helping to “leapfrog” the historic development process. Mobile phone technology is a prime example.[36] Finally, some types of investments can also spur the growth of related industries, either upstream or downstream in the production process.[37]

Private sector development policy design in fragile states

In light of these policy goals, how should the World Bank Group best prioritize its PSD-related support programs in African fragile states? Upon careful review of the diagnostics of each economy and the tools available to donors, we propose that good policies are drawn from the intersection of three elements—the private sector’s most severe constraints, the stated priorities of governments, and policy interventions with an acceptably effective track record (figure 2.1). The policies emerging from the intersection of these areas must also support the above-mentioned goals of economic growth, job creation, tax mobilization, and positive spillovers.

Figure 2.1

Our conceptual model brings together these three fundamental areas for policy design. First, to generate growth, policymakers must create a conducive environment for business owners and managers of small, medium, and large firms. Extensive survey data on the problems reported by businesses are available on the World Bank’s website and from other sources.[38] We analyze these data to identify the most critical problems facing businesses that are trying to survive in fragile environments. Understanding their constraints is the crucial first step toward good policy design. Whether it is the basics (infrastructure and public services), regulations (taxes, licensing rules), or labor shortages, we need to know what the private sector believes is holding back growth.

The second area is understanding government priorities. Policymakers in fragile states operate in very difficult environments, often trying to address various constraints simultaneously with very few resources. Understanding their perspective and primary objectives is important, especially for policymakers in multilateral institutions. By searching through public documents, speeches, and other data, we try to identify what African fragile state governments perceive to be their most binding PSD-related obstacles. There may well be some overlap between their perspective and that of the private sector, as we will see in next chapters.

Third, we must use the lessons learned from past policy interventions. Understanding what has worked in fragile environments will be useful to the design of new policies, programs, and projects, particularly when these findings are referenced against public and private sector constraints and priorities. To accomplish this task, we analyze past policy interventions using a database of IDA projects and other sources to identify successful projects by sector, type, and location.

When considered together, these three analytical components can help multilateral organizations prioritize PSD-related programs in fragile states. As noted previously, donor institutions ideally would pursue projects in sectors or areas where all three components intersect (what the private sector needs, what the government wants, and what donors do effectively). This is the “priority action” zone of the conceptual framework. But there will be situations or environments in which multilateral organizations may wish or need to pursue projects or investments that do not meet this condition. In this instance, we recommend that multilateral organizations then prioritize projects in sectors or areas where two of the three components intersect. Careful attention should be given to why one of the components does not meet this condition and what types of remedial actions would be required. For each of the omitted policy prioritization components, potential remedial steps could include the following in different situations:

The next chapters explore each of these areas—constraints reported by businesses, priorities of governments, and understanding what works—in significant detail. Each chapter examines the available data, and then compares them with the project portfolio of the three relevant World Bank Group entities—IDA, IFC, and MIGA (when possible). The aim of this analysis is to understand whether these institutions have operated with a consistent, well-defined strategy and whether their projects have met needs identified by either the government or the private sector (or ideally both). Finally, our conceptual model is used to identify priorities for Africa’s newest country, South Sudan (chapter 6). Case studies for Somaliland and Zimbabwe are included as well.

Notes



[1] McKinsey Global Institute (2010).

[2] McKinsey Global Institute (2010).

[3] McKinsey & Company (2010).

[4] For example, Zain (a Kuwaiti mobile telecommunications company) has made major investments in South Sudan since 2008. To date, Zain has invested more than $300 million in their South Sudan network.

[5] Government spending from resource-generated revenue contributed an additional 8 percentage points. See McKinsey & Company (2010).

[6] In a 2010 interview with the Infrastructure Consortium for Africa, Bobby J. Pittman Jr., African Development Bank Vice President for Infrastructure, Private Sector Development, and Regional Integration, noted the AfDB’s strong interest in high-return investments in African infrastructure projects.

[7] Ramachandran, Gelb, and Shah (2009).

[8] Fragile states record significant amounts of remittances from abroad. World Bank estimates for 8 of the 14 countries in the sample are that remittances counted for an average of nearly 4 percent of GDP in 2009. During that year, the average for Sub-Saharan Africa was roughly 2.5 percent.

[9] Ramachandran, Gelb, and Shah (2009), p. 44.

[10] Ramachandran, Gelb, and Shah (2009), p. 45.

[11] Kurokawa, Tembo, and te Velde (2008).

[12] Kurokawa, Tembo, and te Velde (2008).

[13] See appendix 6 for more in-depth information on how the Somaliland private sector helped stabilize an otherwise volatile business environment in the subnational territory.

[14] For more details, see www.worldbank.org/ida.

[15] Moss and Leo (2011).

[16] IFC (2010a). This includes institutions such as IFC, the European Bank for Reconstruction and Development, and MIGA.

[17] Of IFC capital, 89 percent is invested in middle-income countries (DfID 2010). According to authors’ calculations, IFC’s 2010 commitments to MICs were roughly $1.31 per capita, while commitments to African fragile states were only $0.31 per capita.

[18] World Bank Group Development Committee (2011).

[19] IFC Conflict Affected States in Africa website, http://www.ifc.org/ifcext/africa.nsf/Content/CASA_Home.

[20] The developmental and financial returns gained from advisory service projects are far more ambiguous than returns gained from investment projects (for instance, IFC received a 16.5 percent return on its organizationwide manufacturing equity investments in 2010). Therefore, much of IFC’s work in African fragile states is difficult to quantify, and the full impact of IFC in these countries may not necessarily be presented by the data analysis contained in this report. But the IFC’s own evaluation report completed by the World Bank Group’s Independent Evaluation Group determined that advisory projects in “high-risk” business climates tend to have higher development effectiveness than those in their non-high-risk counterparts. This same assessment applies to IFC investment projects in high-risk climates.

[22] The PPIAF also manages the Private Participation in Infrastructure Database, which houses data on more than 4,600 infrastructure projects in 137 countries, including the Central African Republic, Sierra Leone, and Zimbabwe. The database has project-level reports on energy, telecommunications, transport, and water and sewage sectors, which allow trend identification in the private infrastructure space.

[23] FIAS (2010).

[24] FIAS implementation expenditures for 2010 totaled $18.5 million.

[25] Another positive indicator is FIAS’s recent improvements (from 48 percent in 2008 to 77 percent in 2010) in the World Bank’s own Development Effectiveness ratings.

[26] Also in 2010, FIAS launched the Investing Across Borders report, which provides objective data on the climate for foreign direct investment in 21 African countries, including Liberia and Sierra Leone. The report presents numerous indicators under the following four categories: friendliness to foreign investors (that is, the percent of ownership allowed), ease of starting a foreign business, ease of accessing industrial land, and complexity and length of the commercial arbitration process. See World Bank (2010b).

[27] The only African fragile state without Doing Business coverage is Somalia.

[28] Commission on Growth and Development (2008).

[29] Over the past decade, the average oil-exporting African fragile state’s GDP grew at a pace of between 3 and 11 percent, while the average non-oil-exporting African fragile state grew at a pace of –1 to 5 percent (measured on an annual basis).

[30] Harris (1999).

[31] ILO (2011).

[32] Gelb and Tidrick (2000).

[33] Everest-Phillips (2008).

[34] Heritage Foundation (2011). For additional details, see http://www.heritage.org/index/.

[35] Everest-Phillips (2008).

[36] Timmer (2006).

[37] Forni and Paba (2002).

[38] For additional details, see http://www.enterprisesurveys.org/.

Constraints to business growth in African fragile states

One of the public sector’s primary objectives in assisting the private sector is to relieve constraints that may stifle businesses’ ability to grow, expand employment opportunities, and generate profits. Recognizing this, donor organizations have increased funding over the last decade for private sector development (PSD) diagnostics that help to identify these binding constraints. While there are a number of instruments available, we focus primarily on two World Bank surveys: the Doing Business reports, which provide comprehensive assessments on regulatory, financial, and political constraints through a top-down methodology; and the Enterprise Surveys, which gauge firms’ views about business environment constraints.

World Bank Doing Business Reports

Doing Business country (and subnational) reports provide relative and absolute measures of business environment constraints across eight distinct categories, such as the ease and cost of starting a new business, enforcing contracts, and trading across borders. The Doing Business methodology scores countries according to both the attractiveness of their current business environment (the number of days it takes to secure an import license) and their progress toward delivering more private sector–friendly policies (the number of regulatory reforms that have been completed in a given year). Overall, the Doing Business reports, providing the most comprehensive country coverage, are completed on an annual basis—which allows for more dynamic monitoring of business environment changes and trends.

With few exceptions, African fragile states lag far behind their higher income and non-African fragile counterparts on nearly every Doing Business measure. On average, African fragile states have an ease of doing business ranking of 171 (of 182 countries) compared with an average ranking of 125 for other low-income countries (table 3.1). Importing a standardized container of goods costs nearly three times more in African fragile states than in middle-income countries.[1] And starting a new business costs more than three times as much in African fragile states than in other low-income countries. These exorbitant operating costs have a profound impact on businesses’ ability to generate profits, expand, and compete in a globalized marketplace.[2] Moreover, they contribute to broader economic effects, such as inflation, large informal sectors, and rent-seeking behavior.

Table 3.1: Fragile states compared with other developing countries, Doing Business indicators

Income category Overall ranking Cost to import container ($) Cost to start a business (percentage of GDP per capita) Time to register property (days) Time to enforce a contract (days)
Middle-income country 96 1,443 26 49 635
Low-income country 125 2,308 61 68 545
Africa nonfragile state 117 1,972 47 54 629
Non-African fragile state 125 1,968 69 132 650
African fragile state 171 3,596 184 96 722

Source: World Bank 2011b.

While Doing Business reports provide a useful assessment of business environment issues, they also omit several factors that impact PSD, such as macroeconomic stability, security, quality of infrastructure, and corruption. As such, they should be used with other diagnostic instruments to identify the most binding constraints on business growth in African fragile states.

World Bank Enterprise Surveys

The World Bank Enterprise Surveys compile individual firms’ opinions and concerns to assess national and regional business environments. The surveys fill in many of the gaps in the Doing Business reports, such as corruption, physical infrastructure (including transport), crime, informality, competition, and access to finance. Private contractors administer the surveys to firms largely in the manufacturing and service sectors, including construction, transport, and information and communication technology. As of mid-2011, World Bank Enterprise Surveys were available for 12 of our sample of 14 African fragile states.[3]

Despite their significant strengths, World Bank Enterprise Surveys have two key weaknesses. First, they are fairly expensive, time-consuming, and infrequently completed (not annually or according to a clearly defined timetable). So they are not an ideal instrument for identifying country trends over time. Second, the surveys focus almost exclusively on firms in the formal sector.[4] Since the informal sector accounts for the overwhelming majority of businesses and employment in low-income countries, enterprise surveys may not adequately reflect constraints impacting the broader business sector. Even so, while World Bank Enterprise Surveys may have limitations, they remain a very useful tool in gauging firms’ views about major constraints.[5]

Ramachandran (2010) summarizes in detail the available survey data for African countries, along with analyzing trends between countries and income groups.[6] Businesses in the poorest African countries—in which most fragile states are included—tend to cite basic infrastructure deficiencies, access to financing, and lack of macroeconomic stability as the primary constraints to profitability and expansion.[7] Other constraints, such as weak governance, low administrative and bureaucratic capacity, and official corruption are cited more frequently in the next highest income tier of Sub-Saharan countries (such as Kenya and Senegal). Businesses in the highest income group (such as Gabon and South Africa), on average, cite the lack of job skills and labor regulation as more binding constraints.

Since country fragility is defined according to policy and institutional quality measures, we also examine business constraints in relation to IDA Resource Allocation Index (IRAI) scores (as opposed to income per capita levels). Figure 3.1 illustrates several of the most frequently cited business constraints in African countries—political instability, transport infrastructure, electricity, and access to finance.[8] Across the board, the percentage of firms reporting these issues as “major constraints” declines as countries’ IRAI scores increase. Not surprisingly, concerns about political instability decline the most dramatically across our country sample. Nearly twice as many African firms cite concerns about electricity as a “major constraint” compared with concerns about transport infrastructure. And access to finance is also cited more frequently as a “major constraint” than transport infrastructure is.

Figure 3.1

For African fragile states, the most frequently cited business constraints include: electricity (68 percent), access to finance (56 percent), political instability (56 percent), corruption (48 percent), taxation rates (40 percent), competition from informal firms (40 percent), transport (38 percent), crime (35 percent), customs regulations (28 percent), and worker skills (27 percent; table 3.2).

Table 3.2: Most frequently cited business constraints in African fragile states (percent)

Country Electricity Access to finance Political instability Corruption Tax rate Competition from informals Transport Crime Customs regulations Worker skills
Angola 43.9 55.8 13.6 35.0 22.6 25.4 27.0 35.5 21.6 20.6
Burundi 76.5 56.6 56.3 18.1 33.6 39.8 22.1 21.2 20.4 15.5
Chad 81.6 47.4 68.9 66.9 54.4 71.3 45.9 51.5 58.1 59.7
Congo, Dem. Rep 78.4 64.9 56.7 21.3 52.6 45.5 32.0 20.6 19.8 16.2
Congo, Rep. 74.4 45.5 70.4 66.4 42.9 49.2 57.0 47.1 49.1 53.9
Côte d'Ivoire 50.1 66.2 92.2 71.7 40.8 32.8 44.7 54.9 27.3 37.7
Guinea 84.2 61.4 28.8 53.8 38.0 25.0 52.2 34.8 12.0 14.1
Guinea-Bissau 75.7 75.7 80.6 40.0 47.9 32.9 27.1 31.4 26.4 15.0
Liberia 60.8 37.7 23.5 38.2 26.0 22.7 40.3 30.6 17.4 13.0
Togo 53.8 50.8 68.3 66.1 40.5 52.0 32.3 22.2 30.2 19.5
Average 68.0 56.2 55.9 47.8 39.9 39.7 38.1 35.0 28.2 26.5
Other Sub-Saharan countries 51.0 41.0 17.0 32.0 39.0 34.0 25.0 27.0 20.0 22.0

Source: World Bank Business Enterprise surveys.

World Bank Group alignment with business constraints

The aforementioned surveys and analysis provide programmatic prioritization insights for respective donor organizations.

Since the World Bank Group expends significant resources on business diagnostics, we would expect International Development Association (IDA), International Finance Corporation (IFC), and Multilateral Investment Guarantee Agency (MIGA) activities to direct their projects toward those factors that pose a “major constraint” to PSD in fragile states.[9] Put differently, the World Bank Group should be drawing upon individual firms’ opinions before developing and implementing sizable support programs and investments for PSD-related activities.[10]

Methodology

To gauge the World Bank Group’s alignment, we focus on a subset of major business constraints that can be mapped clearly to World Bank Group projects and investments, including electricity, access to finance, and transport infrastructure. The multifaceted dimension of other constraints—such as political instability and crime—makes it difficult to identify overlap with donor programs in a concise manner.[11] For projects and investments, we examine all IDA, IFC, and MIGA activities between 2000 and 2010 in 11 African fragile states with business enterprise survey data.[12] Moreover, we use each institution’s classifications to determine the priority sector or area for each project, investment, or guarantee.[13]

IDA

As seen in a number of different measures, IDA projects over the last decade exhibit a significant level of alignment with firm views concerning electricity and transport constraints. The correlation between the number of IDA projects targeting these sectors (measured as the percentage ofall IDA PSD-related projects) and the percentage of firms citing them as “major constraints” is 0.54 and 0.52, respectively.[14] As expected, there is almost no correlation between the total value of IDA projects targeting these sectors (measured as the percentage of all IDA projects). Put differently, IDA has prioritized electricity and transport projects within its PSD-related portfolio while not necessarily prioritizing them with respect to its overall project portfolio value in African fragile states. Given broader development priorities that commonly exist in African fragile states—such as social service delivery and security sector reform—this is not particularly surprising. By contrast, IDA’s alignment with firms’ concerns about access to finance is strikingly low. The correlation between IDA projects targeting this constraint (measured as a percentage of all PSD projects) is only 0.04, suggesting that IDA has deprioritized financial sector projects in African fragile states—in the form of either regulatory reform or support for local financial institutions (table 3.3).[15] ,[16] IDA’s low level of access to finance projects could also be attributed to the comparative advantage of other World Bank Group subsidiaries (IFC) in this sector, which may be better-equipped to promote access to finance.

Table 3.3: IDA alignment with “major constraints,” by country, selected measures [CLICK TO VIEW]

Figure 3.2 provides another illustration of IDA’s prioritization across the examined sectors according to the percentage of individual firms citing them as “major constraints.” As the aforementioned correlation analysis suggests, IDA appears to prioritize PSD projects in electricity and transport in African fragile states where they present the greatest constraints. Alternatively, IDA appears to pursue fewer financial sector projects when firms cite access to finance more frequently as a “major constraint.”

Figure 3.2

IFC

Unlike IDA, IFC investment services focus on economic sectors (such as manufacturing and services companies) rather than broader constraints to PSD growth. Conversely, IFC advisory services often work with governments to improve the overall investment climate in fragile states such as the Democratic Republic of Congo and South Sudan. Neither investment nor advisory services focus explicitly on electricity and transport constraints, and thus we expect that very few investments have targeted those obstacles to private business growth. However, we could expect IFC investments in the financial services sector (to counteract the “access to finance” constraint).

Figure 3.3

IFC investments in recent years. Based on a number of different measures, IFC investments in African fragile states over the last decade exhibit almost no alignment with firm concerns about binding electricity and transport constraints (figure 3.3 and table 3.4).[17] Indeed, the correlation between the number of IFC investments targeting these sectors (measured as the percentage of total number of IFC investments) and the percentage of firms citing them as “major constraints” is –0.25 and 0, respectively.[18] For electricity, possible reasons for the misalignment are the highly regulated nature of electricity sectors in African countries and the limited openings for private investment in public power projects. IFC has been successful in investing in Togo’s power sector, and it has been able to contribute to the electricity-related regulatory dialogue in Liberia.

Table 3.4:IFC alignment with constraints, 2000–11 (percent)

Electricity Transport Access to finance
Firms citing as major obstacle In-country project value In-country project count Firms citing as major obstacle In-country project value In-country project count Firms citing as major obstacle In-country project value In-country project count
Angola 43.9 0.0 0.0 27.0 0.0 0.0 55.8 4.4 50.0
Burundi 76.5 0.0 0.0 22.1 0.0 0.0 56.6 3.3 40.0
Chad 81.6 0.0 0.0 45.9 0.0 0.0 47.4 10.5 50.0
Congo, Dem. Rep. 78.4 0.0 0.0 32.0 0.0 0.0 64.9 12.4 53.8
Congo, Rep. 74.4 0.0 0.0 57.0 0.0 0.0 45.5 0.0 0.0
Côte d'Ivoire 50.1 0.0 0.0 44.7 0.0 0.0 66.2 100.0 100.0
Guinea 84.2 0.0 0.0 52.2 0.0 0.0 61.4 0.0 0.0
Guinea-Bissau 75.7 0.0 0.0 27.1 0.0 0.0 75.7 100.0 100.0
Liberia 60.8 9.5 20.0 40.3 0.0 0.0 37.7 30.7 40.0
Sudan 41.0 0.0 0.0 22.0 0.0 0.0 45.0 0.0 0.0
Togo 53.8 9.7 20.0 32.3 0.0 0.0 50.8 3.8 20.0
Correlation –0.25 –0.25 0.61 0.64

Source: International Finance Corporation and authors’ calculations.

Ultimately, however, the IFC is less likely, on average, to support investment deals in environments with more binding constraints, apart from access to finance. The data illustrate IFC’s recent concerted efforts to target access to finance constraints in several African fragile states, including Côte d’Ivoire and Guinea-Bissau. Recent IFC investments in these two countries are wholly concentrated in finance-related sectors.[19] While firm concerns could signify strong market demand opportunities for IFC, the high respondent rates likely also signify regulatory distortions and other market risks that could jeopardize IFC’s financial returns. While these findings are striking, they should not be overemphasized given IFC’s historical focus on market sectors (as noted above). IFC alignment with these sectors is explored in chapter 4.

IFC investments before 2000. When we extend our country sample prior to recent years and beyond the 14 current African fragile states, historical IFC investment trends show little focus on constraints such as electricity, roads, and access to finance. Between 1980 and 2000, IFC invested $2.6 billion in all African fragile states that fit our definition of “chronically fragile” states (table 3.5).[20] Of this $2.6 billion, 63 percent went to mining projects alone, while just 0.7 percent went to electricity and 0.5 percent to roads. Nineteen banking and finance projects accounted for just 3.2 percent of the total. Assuming that business constraints in African fragile states have remained relatively unchanged over the past few decades, IFC’s investment record does not show a commitment toward addressing some of these limitations.[21]

Table 3.5: IFC investments in African fragile states by sector, 1980–2000

Sector Total commitments (2000 $ millions) Commitments in African fragile states (2000 $ millions) Commitments in African fragile states (percent)
Infrastructure 12,742 63 2.4
Telecommunications 3,694 15 0.6
Roads 1,090 5 0.2
Electricity 5,851 42 1.6
Water and sanitation 699 0 0.0
Railways and ports 1,408 1 0.0
Regulatory 1,927 5 0.2
Trade 532 0 0.0
Economic management 292 0 0.0
Financial sector 1,103 5 0.2
Extractive 9,352 1,664 63.2
Oil and gas 927 0 0.0
Mining 8,425 1,664 63.2
Social services 554 4 0.1
Education 65 0 0.0
Health 457 4 0.1
Finance 9,649 83 3.2
Banking 9,649 83 3.2
General agriculture 2,697 69 2.6
General PSD 38,511 744 28.3
Environment 16 0 0.0
Total 75,449 2,632 100.0

Source: International Finance Corporation.

MIGA

Between 2000 and 2010, MIGA provided only one banking sector guarantee in our sample of 14 African fragile states. It did not provide any guarantees to support foreign investments to improve electricity or transport infrastructure networks. As a result, there is no alignment between MIGA activities and firms’ concerns about “major constraints” to growth and profitability. Historical MIGA guarantees mirror this trend when we extend our country sample beyond the 14 current African fragile states. Between 1990 and 2011, MIGA provided guarantees totaling $797 million in African fragile states—of which 27 percent went to telecommunications projects (a low priority for businesses; table 3.6). Also during this time, MIGA guarantees for electricity and roads projects were just 2 percent and 0 percent of total guarantees in African fragile states. However, as with IFC, MIGA has traditionally been focused on market sectors instead of broader PSD-related constraints. MIGA alignment with these sectors is explored in the chapter 4.

Table 3.6: MIGA investments in African fragile states by sector, 1990–2011

Sector Total MIGA guarantees ($ millions) Guarantees to African fragile states ($ millions) African fragile state guarantees (percent) Total MIGA project count Project count in African fragile states Africa fragile state projects (percent)
Infrastructure 9,354 255 32.0 170 12 32.4
Telecommunications 2,074 213 26.7 39 9 24.3
Roads 2,626 0 0.0 20 0 0.0
Electricity 3,571 20 2.5 85 1 2.7
Water and sanitation 748 4 0.4 21 1 2.7
Finance 8,849 173 21.7 254 8 21.6
Agriculture 501 165 20.7 36 6 16.2
Banking 8,347 8 1.0 218 2 5.4
Extractive 2,794 38 4.7 56 2 5.4
Oil and gas 1,132 24 3.0 17 1 2.7
Mining 1,662 14 1.7 39 1 2.7
General PSD 4,641 332 41.7 213 15 40.5
Total 25,637 797 100.0 693 37 100.0

Source: Multilateral Investment Guarantee Agency.

Conclusion

While the World Bank Group has made significant strides in assessing the constraints to business growth in fragile states over the past 10 years, two of its subsidiaries (IFC and MIGA) have not committed significant financial resources to address the most binding business constraints. As noted above, both organizations’ business models prioritize financial returns as opposed to development returns. Given this, IFC and MIGA, for various reasons, have been reluctant, unable, or unwilling to execute investments and guarantees in African fragile states that target the most binding business constraints. By contrast, IDA displays a significant level of alignment with business constraints in African fragile states—with the possible exception of access to finance.

Notes


[1] This disparity is not driven solely by landlocked status. Only four of the examined African fragile states are landlocked (Burundi, the Central African Republic, Chad, and Zimbabwe).

[2] In general, the World Bank Group’s efforts to improve country business environments are based on the assumption that higher institutional quality will lead to increased business performance. But the literature does not unanimously support this assumption. For instance, Commander and Nikoloski (2010) do not find a statistically significant relationship between many of the Doing Business indicators and actual business and investment performance. Even so, the World Bank’s current initiatives aimed at promoting investment in developing countries place a strong emphasis on business constraints, such as those determined by Doing Business Surveys.

[3] These include Angola, Burundi, Chad, Côte d’Ivoire, the Democratic Republic of Congo, Eritrea, Guinea, Guinea-Bissau, Liberia, the Republic of Congo, Sudan, and Togo. However, the Eritrea business enterprise survey is excluded from our analysis due to methodology and quality deficiencies. The World Bank Enterprise Survey team had planned to publish its Zimbabwe survey data in late 2011, but at time of publication had not yet done so.

[4] But the World Bank occasionally departs from its standardized methodology and surveys informal and micro enterprises as well.

[5] Doing Business Surveys and Enterprise Surveys do not fully encapsulate the business environment picture in African fragile states. Fragile state business environments often face constraints that do not appear in business surveys, such as the criminalization of the private sector or the infiltration of military groups into commercial activities (as a means by which to collect rents). Also, the lack of long-term sustained investment in infrastructure places fragile and conflict-affected states at an even greater disadvantage than a typical low-income country.

[6] Ramachandran and Shah (2011).

[7] Ramachandran, Gelb, and Shah (2009).

[8] IRAI scores and GDP per capita levels are largely uncorrelated (coefficient of 0.06 among African countries).

[9] When selecting projects for approval, World Bank staff are fully cognizant of two key project attributes: the feasibility of a project’s success, and the project’s cost. These factors can sway project decisions, regardless of alignment with business constraints or host government priorities. For example, country directors in fragile states often approve technical assistance projects, as they are significantly less expensive and carry less risk of failure. Sometimes these technical assistance projects will address regulatory constraints to businesses and can help relieve those constraints. But using our methodology, these projects will appear to be smaller, as their commitment values indicate. Our use of project count (as opposed to commitment value) attempts to illustrate this dynamic and draw out these subtleties.

[10] The intentions or stated aims of World Bank Group strategy may not always lead to project alignment with business priorities. For example, Bank Group staff may decline to implement an electricity project (despite the business community’s strong demand for electricity) because an urban-based electricity generation project could exacerbate inequalities between politically powerful urban populations and rural areas. Bank Group staff may also be unable to implement projects in desired business areas due to regulatory restrictions and constraints.

[11] For example, political instability and crime may have a multitude of underlying causes relating to ethnicity, demographic changes, and employment opportunities, as well as factors within governments’ direct control (such as policing, political openness, and transparency).

[12] Eritrea is excluded from this analysis due to the poor representational quality of the Business Enterprise survey.

[13] For projects with multiple programmatic areas, we use a sector threshold of 50 percent or more of the total project value. By illustration, the $15.4 million Burundi Emergency Energy Project focuses 54 percent of total project funds on power-related investments. As a result, the project would be classified as an electricity sector project.

[14] Since individual firms can cite multiple constraints as “major,” these correlations are very high.

[15] Up until the late 1980s, IDA regularly extended loans to national development banks and other local financial intermediaries. But an influential report by World Bank researcher Fred Levy revealed that many of these loans had poor development outcomes and that the funds often were not reextended from development banks to local projects. In the wake of the report and its presentation to the World Bank board of directors, the Bank heavily reduced its lending to national development banks.

[16] Smaller correlations between business priorities and IDA-allocated funds do not necessarily imply that IDA is uninterested in finance-related projects and/or unwilling to implement them. Other factors are involved in the project design process, including available technology or resources or the level of expected involvement from other World Bank Group subsidiaries (for example, IFC has recently focused more of its projects on improving access to finance).

[17] Data for IFC investment projects are taken from its annual reports, accounting for IFC’s final commitment value. Also included are IFC B loans (syndicated loans that are recorded as liabilities on IFC’s books.) Data on IFC advisory projects are included only for projects of more than $2 million, as other advisory projects are not disclosed on a project-by-project basis.

[18] IFC, like the other World Bank Group subsidiaries, continues to actively engage in postcrisis and countercyclical spending. As a result, many of the recent IFC commitments are geared toward rehabilitating trade. These trade finance guarantees can artificially inflate the value of IFC investments in both fragile and non-fragile states.

[19] Also over the past decade, IFC has invested large amounts of capital in telecommunications projects in fragile states. According to our analysis of business enterprise surveys, lack of telecommunication capacity in fragile states is not a major concern for business owners. While IFC arguably has made a significant contribution to the telecommunications sector in several African fragile states (Burundi, Chad, and the Democratic Republic of Congo), it is impossible to determine whether investment would have flowed into this sector regardless of IFC involvement. The telecommunications sector accounts for some of the most profitable projects in Sub-Saharan Africa and many of the continent’s most encouraging success stories. Further, telecommunications sectors in other fragile states (in which IFC was not involved) still saw rapid growth.

[20] This methodology, outlined in chapter 1 and appendix 7, considers states to be fragile if they maintain a Country Policy and Institutional Assessment score of below 3.2 for five consecutive years leading up to (and including) the project sign date.

[21] For this analysis, we assume that business constraints in the most fragile environments have remained relatively stable over time (for example, electricity, transport infrastructure, and access to finance).

Table 3.3: IDA alignment with “major constraints,” by country, selected measures [CLOSE TABLE]

Electricity Transport Access to finance
Firms citing as major obstacle (percent) Per capita project value ($) Total value of all IDA projects ($ millions) Percentage of all IDA projects (by value) Percentage of all IDA projects (by number) Percentage of IDA PSD projects (by value) Firms citing as major obstacle (percent) Per capita project value ($) Total value of all IDA projects ($ millions) Percentage of all IDA projects (by value) Percentage of all IDA projects (by number) Percentage of IDA PSD projects (by value) Firms citing as major obstacle (percent) Per capita project value ($) Total value of all IDA projects ($ millions) Percentage of all IDA projects (by value) Percentage of all IDA projects (by number) Percentage of IDA PSD projects (by value)
Angola 44 0.0 0 0 0 0 27 6.1 102 18 8 50 56 1.0 17 3 8 50
Burundi 77 8.8 65 7 6 22 22 9.5 70 8 6 22 56 4.6 35 4 9 33
Chad 82 5.5 55 10 5 50 46 6.7 67 12 5 50 47 0.0 0 0 0 0
Congo,Dem. Rep. 78 0.2 12 0 2 9 32 16.3 966 25 10 45 65 12.0 710 19 6 27
Congo, Rep. 74 0.0 0 0 0 0 57 17.6 60 17 11 100 46 0.0 0 0 0 0
Côte d'Ivoire 50 18.5 358 31 9 25 45 4.3 83 7 14 38 66 0.9 17 1 9 25
Guinea 84 2.0 19 4 17 80 52 3.3 30 6 4 20 61 0.0 0 0 0 0
Guinea-Bissau 76 20.4 30 20 13 100 27 0.0 0 0 0 0 76 0.0 0 0 0 0
Liberia 61 2.9 10 1 2 10 40 48.0 164 20 16 70 38 0.0 0 0 0 0
Sudan 41 0.0 0 0 0 0 22 3.5 134 19 7 38 45 1.5 58 8 7 38
Togo 54 0.3 2 0 4 33 32 0.3 2 0 4 33 51 2.0 12 3 4 33
Correlation 0.12 –0.19 0.02 0.47 0.54 0.22 –0.15 0.00 0.32 0.52 0.27 0.28 0.17 0.19 0.04

Note: All values for projects are given in terms of International Development Association’s own commitment to the project, rather than the total project value (that is, with co-financiers, if applicable).

Source: International Development Association and authors’ calculations.

Government priorities in fragile states

This chapter examines the alignment between fragile state governments’ private sector development (PSD) priorities and World Bank Group activities over the past decade. As illustrated by the Paris Declaration, Accra Declaration, and various other international initiatives, donor institutions have strived to empower country ownership and improve alignment with recipient government strategies and development objectives. Against this backdrop, how has the World Bank Group performed with respect to PSD in African fragile states?

Methodology

Overall, we categorize governments’ PSD priorities into two general areas: broader business environment constraints and cost drivers (such as regulatory framework and infrastructure); and key business growth sectors (such as agriculture and extractive industries). To determine individual country priorities, we draw on several types of government documents, including national development plans (Angola’s Vision 2025 plan); poverty reduction strategy papers; economic growth strategies (the South Sudan Growth Strategy); and government budget reports.[1], [2] Given the widespread prevalence of conflict and relative lack of national development strategies during the 1990s, we focus on the period between 2000 and 2010. Our analysis excludes Eritrea and Zimbabwe due to the lack of either a publicly available national development strategy (Eritrea) or significant World Bank Group activities during the examined period (Zimbabwe).[3]

In some cases, government documents delineate an explicit PSD strategy, including the top business constraints and priority growth sectors.[4] In others, it is more difficult to ascertain the government’s strategic focus or priorities. For example, a given poverty reduction strategy paper may include an exhaustive list of proposed PSD-related interventions covering the range of economic sectors as well as regulatory, trade, infrastructure, finance, and supply chain issues. In these instances, we have attempted to identify priority constraints and growth sectors that appear more central to the government’s broader strategy.[5] Despite our best efforts, this approach is prone to measurement error given the subjective nature of our assessments. So while our analysis provides a constructive overview of the World Bank Group’s alignment with specific government priorities, it should be considered indicative and subject to further consideration and adjustment.[6]

Country government priorities

Not surprisingly, there is a significant amount of consistency across African fragile state governments’ priorities for addressing PSD-related constraints (table 4.1). The most frequently cited priorities include regulatory framework (100 percent); transport infrastructure (100 percent); electricity infrastructure (92 percent); access to finance (83 percent); and macroeconomic stability (75 percent). In addition, half the African fragile state governments cite the improvement of security and telecommunications infrastructure as priority areas.

Table 4.1: Country PSD constraint priorities, by frequency

PSD constraint priorities Frequency Countries (percent) Firm survey results (average percent)
Regulatory framework 12 100 32
Transport 12 100 38
Electricity 11 92 68
Finance 10 83 56
Macroeconomic stability 9 75
Security 6 50 35
Telecom 6 50
Tax policy 2 17 37
Water 1 8
Human capital 1 8 27
Customs 1 8 28

— is not available.
Source: Various country government reports and authors’ calculations.

Government constraint priorities illustrate a somewhat mixed picture when compared with firm-level views about the most binding constraints to business growth.[7] First, government priorities appear well aligned with the two constraints cited most frequently by individual firms—electricity and access to finance. By contrast, two top government objectives—improving the regulatory framework and transport infrastructure—are cited much less frequently by surveyed firms.[8] For example, every African fragile state includes expansion or rehabilitation of transport infrastructure as a primary component of its PSD strategy.[9] But less than 40 percent of surveyed firms cited transportation as a “major” obstacle.

Economic sector priorities

As with PSD-related constraints, African fragile state governments overwhelmingly prioritize a few economic sectors—namely, agriculture and extractive industries (table 4.2).[10] Only Togo has not targeted the extractive sector as a priority growth driver. Roughly one-third of fragile state governments have specifically prioritized the industry, manufacturing, and tourism sectors. Surprisingly, only Togo has explicitly prioritized the financial sector as a strategic driver of private sector activity and economic growth.

Table 4.2: Country economic sector priorities, by frequency

Economic sector priorities Frequency Countries (percent)
Agriculture 12 100.0
Extractive industries 11 91.7
Industry 5 41.7
Manufacturing 4 33.3
Tourism 4 33.3
Services 3 25.0
Retail 2 16.7
Finance/banking 1 8.3
Utilities 1 8.3

Source: Various country government reports and authors’ calculations.

World Bank Group alignment with government priorities

IDA PSD constraint alignment. Since 2000, the International Development Association (IDA) has supported 70 PSD-related projects in our sample countries, of which 65 have been focused on the governments’ priority constraints. In monetary terms, these priority projects account for nearly 100 percent of total PSD-related activities. Indeed, IDA programs are entirely focused on government priorities in 10 of 12 African fragile states—that is, there is 100 percent alignment in those 10 countries (table 4.3). The one notable outlier is the Central African Republic, which is driven by several finance and banking projects that fall outside the scope of the government’s core priorities. Taken together, this suggests that IDA activities are very aligned with fragile state government objectives.

Table 4.3: IDA project alignment with government priority constraints

Priority constraint projects Total PSD projects
Country Value ($ millions) Projects (number) Percentage of projects (by value) Percentage of projects (by number) Value ($ millions) Projects (number)
Angola 118.6 2 100 100 118.6 2
Burundi 213.8 8 97 89 221.3 9
Central African Republic 18.5 3 50 43 37.0 7
Chad 121.8 2 100 100 121.8 2
Congo, Dem. Rep. 2,022.0 11 100 100 2,022.0 11
Congo, Rep. 60.0 2 100 100 60.0 2
Côte d'Ivoire 460.3 8 100 100 460.3 8
Guinea 49.0 5 100 100 49.0 5
Guinea-Bissau 29.9 3 100 100 29.9 3
Liberia 177.5 10 100 100 177.5 10
Sudan 209.4 8 100 100 209.4 8
Togo 15.4 3 100 100 15.4 3
Total 3,496.1 65 99 93 3,522.2 70

Source: International Development Association and authors’ calculations.

IFC PSD alignment. The International Finance Corporation (IFC) also exhibits a decent alignment track record between its investment operations and governments’ sectoral priorities—though much lower than IDA’s performance.[11] More than half of IFC investments in African fragile states (by monetary value or number of transactions) since 2000 have focused on priority economic sectors or priority constraints (table 4.4). Four telecommunications projects located in Burundi, Chad, and the Democratic Republic of Congo account for nearly all the nonaligned IFC investments during the specified period ($265 million of $266 million). So while aggregate alignment figures illustrate a largely positive picture, the IFC has room for improvement.

Table 4.4: IFC investments and priority sector mapping

Priority sector/constraint investments Total PSD investments
Country Value ($ millions) Investments (number) Percentage of investments (by value) Percentage of investments (by number) Value ($ millions) Investments (number)
Angola 38.7 4 100 100 38.7 4
Burundi 1.6 4 6 80 26.6 5
Central African Republic 0 0 0 0 0.1 1
Chad 40.4 7 66 88 61.6 8
Congo, Dem. Rep. 53.4 11 20 85 272.4 13
Congo, Rep. 0 0 0 0 0 0
Côte d'Ivoire 1.9 2 100 100 1.9 2
Guinea 35.0 2 100 100 35.0 2
Guinea-Bissau 0 0 0 0 0.3 1
Liberia 24.4 5 100 100 24.4 5
Sudan 5.8 2 100 100 5.8 2
Togo 141.9 3 99 60 144.0 5
Total 343.1 40 56 83 610.8 48

Source: International Finance Corporation and authors’ calculations.

MIGA PSD alignment . Since 2000, the Multilateral Investment Guarantee Agency (MIGA) has supported only 19 guarantees in African fragile states, of which slightly more than half are aligned with the governments’ priority economic sectors (table 4.5). Put differently, MIGA has supported one aligned guarantee per country, on average, over the last decade. In monetary terms, slightly more than 80 percent of MIGA guarantees have been aligned with government priorities. But a small number of transactions account for the overwhelming majority of guarantees (as with IFC).[12] If compared with the total number of guarantees in African fragile states, MIGA’s alignment with government priorities falls to less than 60 percent. Taken together, these data suggest that the limited MIGA activities are only modestly aligned with fragile state governments’ priorities—with significant room for improvement.

Table 4.5: MIGA PSD project and priority sector mapping

Priority sector/constraint guarantees Total PSD guarantees
Country Value ($ millions) Investments (number) Percentage of guarantees (by value) Percentage of guarantees (by number) Value ($ millions) Guarantees (number)
Angola 183.7 3 100 100 183.7 3
Burundi 0.0 0 0 0 0.9 1
Central African Republic 0.0 0 0 0 0.0 0
Chad 0.0 0 0 0 0.0 0
Congo, Dem. Rep. 22.9 3 39 60 59.0 5
Congo, Rep. 0.0 0 0 0 8.7 1
Côte d'Ivoire 0.0 0 0 0 0.0 0
Guinea 68.4 2 63 67 108.4 3
Guinea-Bissau 25.9 1 98 50 26.5 2
Liberia 142.2 1 98 50 145.7 2
Sudan 0.0 0 0 0 0.0 0
Togo 7.4 1 41 50 18.1 2
Total 450.5 11 82 58 551.0 19

Source: Multilateral Investment Guarantee Agency and authors’ calculations.

Conclusion

Overall, World Bank Group activities illustrate strong alignment with fragile state government priorities for addressing private sector constraints and supporting key economic growth sectors. In monetary aggregates, more than 90 percent of World Bank projects and investments have targeted priority areas (figure 4.1). However, as noted above, this is largely driven by IDA’s sizable project commitments (nearly 80 percent of total World Bank Group support) and strong alignment. By contrast, IFC and MIGA have additional room for improvement. (This is discussed in greater detail in chapter 6.)

Figure 4-1

There is considerable cross-country disparity in World Bank Group alignment. For example, IDA, IFC, and MIGA support is almost universally aligned with government priorities in Angola and Liberia. By contrast, World Bank support exhibits only low overlap in several other African fragile states, such as the Democratic Republic of Congo. And IFC and MIGA have not completed any transactions in a few country markets, including the Central African Republic, the Republic of Congo, and Sudan.[13] These trends emphasize the need for the World Bank Group—including its individual subsidiary organizations—to improve alignment performance not only at the aggregate fragile states level, but also at the individual country level.

Notes


[1] The exact ranking of government priorities is often impossible to determine from government documents. So we have not ranked government priorities in any particular order.

[2] For private sector business constraint priorities, we limit the number of country priorities to six. For key business growth sectors, we limit the number of country priorities to between three and five. For example, Burundi’s private sector business constraint country priorities (as found in its 2010 PRSP Evaluation Report) are, in no particular order, macroeconomic stability, regulatory framework, transport, electricity, finance, and security. Its economic sector priorities are agriculture, fishing, manufacturing, mining, and tourism. World Bank Group project alignment with Burundi government priorities has been assessed using these priorities. We have completed similar analyses for each of the African fragile states in our sample.

[3] Since Zimbabwe has been in continuous arrears to the World Bank since 2000, support from IDA, IFC, and MIGA has mainly been limited to small, grant-based technical assistance programs.

[4] By illustration, Liberia’s Interim PRSP (pp. 43–44) clearly outlines the government’s priorities for addressing business constraints: “The government will begin to address critical structural constraints and impediments to private investment and economic activity”, which include: large informal sector; access to energy; access to finance; investment code; telecommunications; land ownership and tenure; tax policy; and administrative and regulatory issues. For the purposes of this analysis, we group the latter three issues together under a broader “regulatory framework” category.

[5] This includes gauging how frequently specific constraints or economic sectors are referenced as well as the depth and scope of the related proposed interventions. To the extent possible, we supplemented this assessment with an examination of government budget priorities as well as other development strategy documents.

[6] A more authoritative approach would include explicit input from fragile state governments concerning their priorities for addressing private sector constraints and supporting specific economic sectors. Information sourced directly from policymakers (such as that obtained by World Bank Group country teams) could more accurately assess government priorities.

[7] Firm-level data are drawn from the respective World Bank Enterprise Surveys cited earlier in the report. Results are reported as a simple average for 10 of the 12 fragile state countries (excluding the Central African Republic and Sudan due to the lack of business enterprise survey data). For the purposes of this comparison, “regulatory framework” is measured as the simple average of five separate business enterprise survey categories: political instability, business licensing, labor regulation, corruption, and access to land. Two constraint categories (security and human capital) are compared with the enterprise survey categories of “crime” and “worker skills.” The “tax policy” constraint is compared with the simple average of two enterprise survey categories (“tax rate” and “tax administration”). Finally, the business enterprise surveys do not include response data on three of the examined categories: macroeconomic stability, telecommunications, and water.

[8] One reason that fewer businesses cite transport infrastructure as a major constraint could be that poor roads are a greater obstacle for exporting businesses. These businesses would have higher costs associated with shipping cargo, and therefore would consider transport to be a more binding constraint. This is not true of all businesses that export goods, however. Regulatory constraints may be less of a concern for many businesses because less-complex regulations could lead to increased competition—something that might be undesirable for firms that are already in operation.

[9] The Liberian government’s emphasis on transportation infrastructure is examined in greater detail below.

[10] See appendix 10 for country-specific information.

[11] Additional analysis of the overlap between IFC advisory services and governments’ priorities about private sector constraints (such as business climate issues) would be worthwhile. But project-level data are not publicly available.

[12] Three projects in Côte d’Ivoire, Angola, and Guinea account for more than 83 percent of all MIGA projects in our sample of 14 countries.

[13] Several of these countries, such as Sudan, had World Bank Group arrears during this period, which explains IFC’s lack of engagement.

What works—proven PSD successes in fragile environments

This chapter examines the effectiveness of World Bank Group projects in fragile states over time. In other words, have the International Development Association (IDA) and the International Finance Corporation (IFC) prioritized their financing and programmatic support in high-performing sectors? As noted previously, project performance in fragile state environments has lagged significantly compared with outcomes in other low- and middle-income countries. So it is even more important for IDA and IFC to identify the private sector development (PSD)–related sectors and subsectors with adequate project performance, prioritize development and investment operations accordingly, and consider innovative ways to improve project outcomes in historically low-performing areas.

IDA alignment with what works

To identify sectors with high-performing IDA projects, we use World Bank Independent Evaluation Group (IEG) project outcome ratings during the period between 1980 and 2006. The IEG rates individual World Bank Group project outcome performance on a range between 0 and 5 (the latter being defined as a “highly satisfactory” outcome).[1] IEG ratings are available for more than 4,800 IDA projects completed during the examined time period.[2] We define IDA recipient countries as “fragile” if their average Country Policy and Institutional Assessment (CPIA) score was below 3.2 during the project implementation period. This provides for a broader country sample, important for determining what types of IDA projects have worked in fragile environments globally and over time. As with previous analysis, we use IDA’s sectoral classifications to the extent possible to determine the priority sector or topic for each project.[3] Under this methodology, there are 1,924 PSD-related projects, of which 321 are in African and non-African countries defined as fragile states (table 5.1). In addition, our dataset includes nearly 2,900 non-PSD projects (health, education), of which 533 are in African and non-African fragile states.

Table 5.1: IDA PSD-related project evaluation data, 1980–2006

Fragile states Nonfragile states
PSD Non-PSD Total PSD Non-PSD Total
Number of projects 321 533 854 1,603 2,360 3,963
Percentage of total projects 38 62 100 40 60 100
Total IDA commitments ($millions) 5,083 9,152 14,235 29,755 55,929 85,684
Percentage oftotal commitments 36 64 100 35 65 100
Average project value ($ millions) 15.8 17.2 16.7 18.6 23.7 21.6

Source: World Bank Independent Evaluation Group and authors’ calculations.

IDA PSD-related project performance

Overall, IDA projects in fragile states have performed at a consistently low level over time. On average, they have received an IEG project outcome rating of 2.5, falling between “moderately unsatisfactory” and “moderately satisfactory.” But PSD-related projects in fragile states have performed at a slightly higher level when compared with non-PSD–related projects, with an average IEG rating of 2.60 versus 2.43. The same is true for nonfragile states as well (3.23 versus 3.16). Within PSD-related areas, extractive industry and regulatory reform projects have produced the best outcomes, followed by infrastructure (table 5.2). Financial sector and general PSD (that is, multisector) projects have produced the lowest outcome scores on average. Compared with nonfragile states, the largest lagging sectors are finance and infrastructure, with average IEG project outcome ratings roughly one-third lower than in nonfragile state environments.

Table 5.2: IDA project outcome ratings by PSD-related sector, 1980–2006

Fragile states Nonfragile states
PSD sector Average IEG outcome rating Number of projects Percentage of all PSD projects Commitments ($ million) Average IEG outcome rating Number of projects Percentage of all PSD projects Commitments ($ million)
Infrastructure 2.6 156 49 3,155 3.4 810 51 14,352
Telecommunications 3.3 14 4 172 3.6 57 4 827
Roads 2.9 79 25 1,635 3.5 336 21 7,623
Electricity 2.4 44 14 920 3.1 310 19 4,951
Railways 2.0 5 2 134 3.1 52 3 640
Ports 1.6 14 4 294 3.7 55 3 311
Regulatory 2.7 45 14 714 3.2 229 14 6,706
Legal system 3.6 5 2 21 2.9 16 1 115
General industry 3.5 6 2 80 3.6 20 1 449
Trade 2.8 6 2 11 3.3 48 3 1,243
Economic management 2.5 19 6 312 3.2 45 3 1,957
Financial sector 2.0 9 3 290 3.1 100 6 2,943
Finance 2.2 26 8 254 3.0 177 11 3,222
Agriculture 2.4 13 4 131 3.0 80 5 1,489
Banking 1.7 3 1 21 3.2 19 1 275
Micro, small, and medium enterprise 1.9 8 2 52 2.9 77 5 1,447
Extractive 3.0 48 15 340 3.3 161 10 1,365
Oil and gas 3.2 37 12 283 3.4 111 7 1,028
Mining 2.3 11 3 58 3.0 50 3 337
General PSD 2.2 46 14 620 2.9 226 14 4,111
Total 2.6 321 100 5,083 3.2 1,603 100 29,755

Note: Several sectors have very low project counts, which can skew their average ratings. Further, the averages here do not capture the country-specific information contained in the project evaluations. When making project decisions in fragile states, the World Bank should consider both fragile states aggregates and country-specific evaluations.
Source: World Bank Independent Evaluation Group and authors’ calculations.

There is a wide distribution of IEG project outcome ratings within sectors and subsectors. In simple terms, IDA projects in fragile states are not universally poor-performing (“unsatisfactory”). Instead, roughly the same share of projects have either “unsatisfactory” or “satisfactory” outcome ratings (36 percent and 45 percent, respectively; figure 5.1).[4] Despite relatively low average outcome ratings overall, at least half of IDA projects had “satisfactory” outcomes in the following subsectors: telecommunications, roads, general industry regulatory reform, trade policy reform, agricultural financing, and oil and gas (see appendix 11 for details).

Figure 5_1

Over time, IDA’s prioritization of higher performing PSD sectors has been mixed. Figure 5.2 maps the percentage of IDA projects targeting PSD-related subsectors against the average IEG outcome rating for that sector. On the positive side, IDA appears to have deprioritized those subsectors with very low project outcome ratings (ports, banking, railways). At the same time, IDA has pursued a relatively modest number of projects in higher performing areas, such as industry regulation reform, telecommunications, and trade policy reform. Importantly, this analysis does not control for several potentially influential issues, such as client government demand, intertemporal differences in project performance regional factors, and determinants of project outcomes. We explore the latter issue in some detail below, though not exhaustively. Even so, it does provide some indication of IDA’s portfolio performance management over time.

Figure 5_2

IDA’s current alignment with what works

On the basis of historical IEG project outcome ratings, how much is IDA currently focusing on fairly strong performing PSD-related areas in African fragile states? As with other areas, the answer is mixed and somewhat complex. As figure 5.3 illustrates, there is almost no correlation between IDA sector prioritization (measured relative to the total PSD commitments or number of projects) and project outcome ratings.[5] Overall, roughly 84 percent of IDA’s PSD portfolio in African fragile states lies in subsectors with “moderately unsatisfactory” project outcomes between 1980 and 2006. By contrast, only 1 percent of IDA’s existing PSD-related portfolio is targeting subsectors with “moderately satisfactory” project outcomes. This tentative result appears to be driven by two factors: IDA’s heavy relative focus on the slightly lower performing road and electricity subsectors; [6] and IDA’s modest (or nonexistent) focus on relatively well-performing subsectors, such as general industry reform.

Figure 5_3

But this does not necessarily mean that IDA’s projects have a poor alignment with PSD subsectors with strong, proven results. As noted above, more than half of road projects in fragile state environments have provided “satisfactory” outcomes—despite the subsector’s overall average rating of “moderately unsatisfactory.” This illustrates the imperative to focus also on the micro, macro, and operational factors that influence project outcomes, explored extensively in the literature. Several studies find that operational factors—such as project preparation, quality-at-entry, and project supervision—have significant explanatory power in determining project outcome ratings.[7] By illustration, electricity projects in fragile states with strong quality-at-entry ratings had “satisfactory” outcome ratings nearly 80 percent of the time.[8] So it is theoretically possible that IDA’s existing PSD-related portfolio may be well aligned with what works in a broader context. This assumes that IDA has only pursued projects after strong preparatory work and favorable initial conditions, and subsequently has taken steps to ensure strong supervision over time. Additional regression analysis by the World Bank Group and other researchers examining the empirical impact of these factors in fragile states would be a constructive contribution.

IFC alignment with what works

The IFC evaluates its investment projects using two core metrics: development outcome performance and financial performance. This section outlines the criteria for each metric and determines whether IFC is committing its resources and projects toward relatively well-performing sectors.

Development outcome performance

The IFC uses its Development Outcome Tracking System (DOTS) to determine the development effectiveness and reach of its projects. According to IFC, the DOTS tracks four performance benchmarks:

The IFC also uses additional, specific development effectiveness subcriteria, such as the number of jobs created, increase in sales volume, reduction in emissions, and return on equity.

Currently, the IFC does not make its project-by-project evaluation data available publicly, which prevents us from analyzing IFC alignment in fragile states in a targeted manner. In light of the World Bank Group’s Open Data Initiative, steps should be taken immediately to post this IFC information on its website in a user-friendly format.[10] Even so, the IFC’s Annual Portfolio Performance Review provides regional and sector breakdowns of development effectiveness outcomes. According to sectorwide DOTS evaluations, health and education projects have the highest development outcome ratings. Oil, gas, and mining projects also receive consistently high DOTS ratings. Global manufacturing projects have the lowest percentage of highly rated projects. However, when weighted according to project commitment values (as opposed to the number of projects), most projects in each sector receive high DOTS ratings with little discrepancy between sectors (figure 5.4). Since these results reflect projects aggregated across all regions, income levels, and CPIA ratings, they provide limited value and insights for African and non-African fragile states.

Figure 5_4

Financial performance

The IFC also uses project profitability to gauge operational performance. The IFC’s principal measures of financial performance include loan income, loan returns, and equity returns.[11] Table 5.3 illustrates how financial performance fluctuates widely across sectors and fiscal years. For example, financial services accounted for 70 percent of total IFC equity income in fiscal year (FY) 2009 compared with only 17 percent in FY10. Conversely, oil, gas, and mining projects had an equity return of 13 percent in FY09 and a 291 percent return in FY10—which illustrates how a few large IFC investments can drive respective sectors’ financial performance. Since these results reflect projects aggregated across all regions, income levels, and CPIA ratings, they provide limited value and insights for African and non-African fragile states.

Table 5.3: IFC loan and equity portfolio income, 2009–10

Loans Equity Total
Loan income Percentage of total loan income Loan return (percent) Equity income Percentage of total equity income Equity return (percent) Total return (percent)
Sector FY09 FY10 FY09 FY10 FY09 FY10 FY09 FY10 FY09 FY10 FY09 FY10 FY09 FY10
Agriculture 33 39 2.9 3.6 0.4 6.8 –9 22 –0.9 1.2 –27.0 12.1 –6.1 8.7
Chemicals 37 44 3.3 4.0 0.9 6.4 26 74 2.6 4.0 –22.5 39.7 –3.4 12.3
Collective investment vehicles 1 3 0.1 0.3 25.3 9.4 –49 196 –4.8 10.7 –13.7 23.5 –12.8 24.4
Financial services 496 412 43.7 37.5 6.3 6.2 708 311 69.8 16.9 6.0 8.7 6.2 6.8
Industrial and consumer services 55 43 4.9 3.9 1.2 2.7 3 –1 0.3 –0.1 –24.4 –14.1 –2.8 0.4
Infrastructure 202 274 17.8 25.0 3.0 5.0 198 199 19.5 10.8 14.1 30.9 4.6 8.2
Manufacturing 205 175 18.1 15.9 2.2 4.0 56 77 5.5 4.2 0.0 16.5 2.0 5.2
Oil, gas, and mining 90 77 7.9 7.0 5.6 3.5 81 946 8.0 51.4 –12.6 291.4 1.6 53.9
Social services 15 30 1.3 2.7 6.8 10.7 1 17 0.1 0.9 –10.5 6.8 0.2 8.9
Total IFC 1,134 1,098 100.0 100.0 4.1 5.2 1,015 1,840 100.0 100.0 –1.1 32.2 3.1 10.9

Source: International Finance Corporation.

Financial performance versus annual disbursements

Figure 5_5

To determine whether IFC is committing its entire investment portfolio toward relatively high-performing sectors, we compare IFC annual disbursements with the financial performance metrics presented above. Figure 5.5 shows the strong relationship between these two indicators in IFC’s equity and loan portfolios. This indicates that IFC effectively aligns its investment in each sector according to that sector’s expected annual financial returns. Again, since these results reflect projects aggregated across all regions, income levels, and CPIA ratings, they provide limited value for our exercise. With the availability of project-level performance data, additional targeted analysis should be pursued for IFC activities in African fragile states.

Notes


[1] The range of the IEG rating scores is as follows: (0) highly unsatisfactory; (1) unsatisfactory; (2) moderately unsatisfactory; (3) moderately satisfactory; (4) satisfactory; and (5) highly satisfactory.

[2] Due to the extended time period, these IEG ratings include countries that subsequently graduated from IDA assistance, such as Ecuador, Egypt, and Thailand—the only condition being that the average CPIA of the country over the life of the project was below the 3.2 threshold.

[3] PSD-related categories include: infrastructure (telecommunications, transport, electricity); regulatory (legal system, trade policy, economic management, financial sector, and general industry-related policies); finance (agriculture, banking, and micro, small, and medium enterprise); extractive sector (oil and gas, mining); and general PSD projects. For projects with multiple programmatic areas, we utilize a sector threshold of 50 percent or more of the total project value. See appendix 9 for additional details on our project reclassification methodology.

[4] Despite its sliding scale, we find that the IEG rates a significant percentage of IDA project outcomes on a binary basis. Nearly 80 percent of IDA’s PSD-related projects in fragile states are rated as either “unsatisfactory” or “satisfactory.” And IDA projects in non-fragile states exhibit a similar tendency, with more than 70 percent of projects rated as having either “unsatisfactory” or “satisfactory” outcomes.

[5] The availability of natural resources can constrain IDA’s ability to implement projects in certain sectors, such as oil, gas, and mining. For instance, IDA cannot implement oil and gas projects in Côte d’Ivoire, despite the subsector’s relative historical success in fragile states.

[6] These two subsectors account for roughly 60 percent of IDA’s PSD projects in African fragile states.

[7] The World Bank’s own internal evaluation group has completed robust regression analyses that show the strong correlations between these operational factors and overall project outcomes. For more information, see IEG (2011).

[8] Of the 14 electricity projects in fragile states with a quality-at-entry score of 3 (out of a range between 0 and 3), 11 projects had “satisfactory” outcome ratings. Appendix 12 contains correlation analysis of PSD-related project outcome ratings in African and non-African fragile states between 1980 and 2006 with several operational performance factors, including project duration (number of years), project preparation, quality-at-entry, supervision, compliance, and implementation.

[9] For a full list of IFC environmental and social performance standards, see http://www.ifc.org/ifcext/sustainability.nsf/Content/
PerformanceStandards
.

[10] See World Bank (2010c).

[11] Another core measurement of financial performance is IFC’s internal rate of return (IRR). IRR is a measure of an investment’s financial performance over the entire holding period. The IRR takes into account both the amount and timing of disbursements and cash receipts. In the case of an outstanding equity investment, an estimated valuation of the investment is included as an element in calculating the IRR.

Country case study—South Sudan

This chapter applies the proposed private sector development (PSD) guiding framework to the specific case study of South Sudan. First, it examines the private sector profile and major business constraints. Next, it outlines the guiding priorities of the government of South Sudan. Then it gauges how well donor institutions’ PSD-related projects are aligned to what matters in South Sudan and what has worked well over time.

Contextual overview

In July 2011, the Republic of South Sudan became the world’s newest nation. When Sudan’s destructive two-decades-long civil war ended in 2005, South Sudan was left with almost no physical or institutional infrastructure. Since then, substantial rebuilding and rehabilitation of destroyed or damaged structures has taken place. National, state, and local governments have been established along with the passage of a broad range of new legislation. Modern banking services have been introduced, and courts, schools, and health clinics across the region have been established.

Despite this significant progress, the new nation still faces monumental challenges in fostering broad-based private sector growth and economic opportunities for its people. Among the major economic challenges facing South Sudan: weak or nonexistent physical infrastructure (especially power and transport); inadequate access to and cost of finance; dependence on subsistence agriculture; a poor business regulatory climate; and the overwhelming dominance of the oil sector for national output, exports, and government revenues. At the same time, the nation is endowed with significant natural resources beyond oil, such as timber, gold, and plentiful water for agriculture. Moreover, South Sudan will undoubtedly receive strong support from bilateral donors and international financial institutions, which have already initiated comprehensive economic and social support programs.

Private sector overview

Despite significant challenges, the private sector in South Sudan has expanded rapidly over recent years, shown by the registration of more than 6,000 new firms since 2005.[1] Despite the strong new business growth, the private sector in South Sudan remains constrained and is dominated by micro and small firms in the retail sector. As of 2010, roughly 93 percent of registered firms had fewer than six employees (table 6.1). By extension, there is a nearly complete lack of medium or large firms, with only 20 firms having 50 or more employees.

Table 6.1: Private enterprises in South Sudan, by number and distribution of employees

Number of employees Number of firms Percentage of firms Sector Number of firms Percentage of firms
1 2,892 39.4 Wholesale and retail trade 5,116 69.8
2 2,490 34.0 Hospitality (lodging/food service) 1,037 14.1
3 864 11.8 Health and social services 361 4.9
4 341 4.7 Manufacturing 199 2.7
5 213 2.9 Information and communication 97 1.3
6–9 273 3.7 Construction 89 1.2
10–49 240 3.3 Other 434 5.9
50+ 20 0.3
Total 7,333 100.0 Total 7,333 100.0

Source: SSCCSE (2010).

As noted previously, private enterprises are heavily concentrated in the wholesale and retail trade sector, accounting for 70 percent of registered firms (see table 6.1). Another 14 percent of firms operate in hospitality-related sectors, such as lodging and food service. Less than 5 percent of registered South Sudanese firms are in industry-related sectors, such as manufacturing, construction, or mining. In geographical terms, nearly two-thirds of private enterprises are located in South Sudan’s three largest cities (Juba, Malakal, and Wau). Even in these urban areas, business density remains very low, whether measured in per capita or per household terms. For example, there are only 0.014 businesses per household in Juba and 0.006 in Malakal.

Given the business profile in South Sudan, the government and its donor supporters face a dual challenge of both creating enabling conditions for micro-entrepreneurs to grow and simultaneously preparing the environment for the establishment of larger, formal sectors such as food processing, mining, or light manufacturing.[2] In this context, the government must take concerted steps to reduce operating costs and associated investment risks through an improved policy framework, infrastructure network (such as reliable electricity and transport), supply chains, access to finance, and technical and managerial skills. The next section examines these constraints in greater detail.

Major business constraints

Our business constraint analysis draws upon several recent private sector diagnostics and surveys, including the Sudan Investment Climate Assessment, the Juba Doing Business report, and the 2009 Population and Household Survey. The World Bank’s Investment Climate Assessment is based upon firm-level surveys in the manufacturing, services, and informal sectors. While the survey was conducted nationally, information was collected in Juba and Malakal. The Doing Business report, produced in partnership by the World Bank and the U.S. Agency for International Development (USAID), examines the business environment for a typical manufacturing firm in Juba. Based upon these sources, the largest obstacles to private sector activity in South Sudan concern access to electricity, access to and cost of finance, transportation, corruption, and customs.

Reliable electricity

Reliable access to electricity is the most commonly cited business obstacle in South Sudan. In Juba, 87 percent of the business survey respondents cited electricity as the most significant constraint on their operations. This proportion reaches 100 percent for manufacturing firms located in Malakal. Electricity delivery has improved recently in Juba following the installation of oil-fueled generators. But two power stations (of three) are out of service, contributing to frequent power cuts.[3]

Most businesses in South Sudan own or share generators due to the lack of reliable power generation. These generators account for a significant share of their businesses energy consumption—83 percent of firms based in Juba rely upon generator power, which accounts for 93 percent of their energy consumption. Not surprisingly, generator-based electricity significantly increases businesses’ operating costs—both through fairly expensive fuel imports and inconsistent supply. Spending capital on purchasing and operating generators often directly reduces firms’ resources for investing in fixed assets and other productivity-enhancing factors. This undermines the ability of South Sudanese firms to compete in both regional and global markets. However, according to the World Bank’s Investment Climate Assessment survey, companies with generators do experience fewer production interruptions and lower associated output losses.

Access to finance

The second most frequently cited business obstacle in South Sudan is access to and cost of finance. Roughly 75 percent of firms located in Juba cited these issues as “major” to “severe” constraints on their ability to operate and expand. Most available financial products relate to foreign exchange transactions, bank transfers, and remittance services—with only a handful of commercial banks providing more traditional services such as loans, trade finance, and savings accounts. Almost all bank lending is short-term, with relatively high interest rates (15–20 percent).[4] According to the Bank of South Sudan, commercial bank exposure totaled only SDG 139 million (roughly $60 million) as of 2009 (table 6.2). This exposure is highly concentrated in retail trade and service companies (60 percent) because of their ability to generate short-term cash flow and capture government procurement and guarantees. Only a quarter of existing commercial bank exposure is targeted toward industry-related sectors such as manufacturing, construction, and transport. Not surprisingly, constrained access to operating capital has contributed to the underuse of capacity in the manufacturing sector.

Table 6.2: Commercial bank exposure, by sector (SDG millions)

2007 2008 2009
Sector SDG $ equivalent Percentage of total SDG $ equivalent Percentage of total SDG $ equivalent Percentage of total
Agriculture 0 0 0 19.3 9.2 16.2 28.0 12.2 20.1
Industry 28.0 13.6 58.3 34.5 16.4 29.0 37.0 16.1 26.6
Manufacturing 0 0 0 0 0 0 0 0 0
Mining 0 0 0 0 0 0 0 0 0
Construction 28.0 13.6 58.3 19.4 9.2 16.3 22.0 9.6 15.8
Transport 0 0 0 15.1 7.2 12.7 15.0 6.5 10.8
Storage 0 0 0 0 0 0 0 0 0
Imports 0 0 0 0.6 0.3 0.5 2.0 0.9 1.4
Exports 0 0 0 0.0 0.0 0.0 0 0 0
Local trade 6.0 2.9 12.5 57.6 27.4 48.4 66.0 28.7 47.5
Other 14.0 6.8 29.2 7.0 3.3 5.9 6.0 2.6 4.3
Total 48.0 23.3 100 119.0 56.7 100 139.0 60.4 100

Note: U.S. dollar equivalent figures are based on annual exchange rate averages of 2.06 for 2007, 2.1 for 2009, and 2.3 for 2009.
Source: Bank of South Sudan.

This trend extends to the household level as well. Due to various factors, South Sudan remains heavily underbanked.[5] Only 1 percent of South Sudanese households had a bank account as of 2010. And only 18 percent of households borrowed or obtained money that must be repaid (table 6.3).

Table 6.3: Use of banking services among households, by state (percent)

Banking service use Borrowing prevalence
State Has an account No account Borrowed/obtained Not borrowed/obtained
Upper Nile 2 98 33 67
Jonglei 0 100 19 81
Unity 1 99 31 69
Warrap 0 100 9 91
Northern Bahr El Ghazal 1 99 14 86
Western Bahr El Ghazal 3 97 18 82
Lakes 2 98 11 89
Western Equatoria 1 99 19 81
Central Equatoria 4 96 18 82
Eastern Equatoria 1 99 15 85
Total 1 99 18 82

Note: Borrowing prevalence indicates the borrowing rate from both banks and nonbank lending institutions. Therefore, lending prevalence greatly exceeds banking penetration.
Source: Bank of South Sudan and SSCCSE (2009).

The exit of several Islamic banks in February 2008—following the Bank of South Sudan ruling that all financial intermediation must be implemented on conventional terms—sharpened households’ lack of access to finance. Border states such as Northern Bahr El Ghazal and Warrap were impacted the most by this exit (table 6.4). However, several banks from neighboring countries (Ethiopia and Kenya) have been issued operating licenses in recent years, expanding rapidly. Despite this, competition in the banking sector remains limited, with correspondingly high margins and service concentration in the larger urban areas.

Table 6.4: Distribution of commercial banking services, by state (number of branches) [CLICK TO VIEW]

In addition to commercial banks, many microfinance institutions operate in South Sudan. But they currently service less than 1 percent of the potential market in South Sudan and only 5 percent of available clients in the greater Juba region, offering a limited range of products.[6] As of 2010, microfinance institutions had not started addressing the rural and agricultural sectors effectively—where most households derive their primary source of income.[7] Lending rates are comparable with those of other developing countries, ranging between 15 percent and 35 percent.[8]

Banking sector growth and coverage going forward, for both commercial and microfinance institutions, will depend on strengthening land registry systems,[9] improving legal and enforcement mechanisms, enhancing bank management capacity (risk management, corporate governance), and reducing high transaction costs driven in part by poor infrastructure (electricity, telecommunications, transport).

Transport infrastructure

As with electricity and financing, the lack of transport infrastructure acts as a binding constraint to almost all productive sectors in South Sudan. There are approximately 4,100 kilometers of year-round gravel trunk roads and almost no rehabilitated feeder road network (see additional details below).[10] The government budget allocated little funding to upgrade and maintain these trunk roads, raising serious concerns about their sustainability over the medium to long term.[11] The only rail line in South Sudan connects Wau (Western Bahr el Ghazal state) to Muglad (West Kordofan state) in northern Sudan. Plans to extend the rail network to Juba have not been realized to date—nor are there any rail linkages to neighboring countries.[12]

Since South Sudan imports the most product inputs from neighboring countries or from northern states, the lack of adequate road and rail networks has the greatest relative impact in regions located far from international borders. This is particularly problematic in such states as Upper Nile, Lakes, Warrap, and Western Equatoria. As a result, input and product costs are substantially higher than in southern cities—such as Juba—which are closer to the borders with Kenya and Uganda (table 6.5). While transport requirements and costs may be lower in southern areas, they still remain extremely high relative to those in neighboring countries.

Table 6.5: Price comparison of select intermediate inputs, Malakal and other cities

Product input Price in Malakal (SDG) Comparator city Comparator city price (SDG) Price differential (percent)
Iron sheet (per sheet) 30 Kosti 20 33
Water pipe (per ton) 910 Kosti 790 13
Tire (per piece; Yokohama) 600 Juba (imports from Uganda) 300 50
Sand (per bag) 2,000 Rumbek 90 96

Source: World Bank (2009).

Corruption

Corruption is yet another leading constraint to PSD in South Sudan. The weak legal framework and relatively poor administrative capacity of the government has contributed to this problem. Overall, research suggests that corruption can severely distort competition and impose high direct costs on firms in developing countries, particularly among small and medium enterprises.[13] Given that South Sudan is dominated by micro and small enterprises, the potential negative impact may be substantial. But corruption appears to be a larger concern in certain regions (Juba) and among informal firms—for example, 74 percent of surveyed firms in Juba cited it as a major constraint, while only 60 percent did in Malakal.

Trading across borders

As South Sudan is a landlocked country, the time and cost of trading across borders has been a major negative driver of its firms’ operating costs and international competitiveness. Indeed, there are only Afghanistan and the Central African Republic score worse on the Doing Business rankings.[14] While poor transport infrastructure is the largest cost driver (as discussed earlier), firms also face an extremely burdensome customs process and multiple checkpoints that add significant time delays.[15] On average, firms located in Juba spend 34 days to obtain 11 documents required for importing, and 28 days for the 9 documents required for exporting (table 6.6).[16] According to the World Bank, the main cause of document delays is the letter of credit requirement, which must be approved by the Bank of South Sudan.[17] And it costs firms in Khartoum or Kampala roughly $2,900 to import products, or roughly 30 percent of the costs faced by South Sudanese firms.

Table 6.6: Time and cost to import a container, Juba and comparator cities

Time (days) Cost ($)
Importation step Juba Kampala Khartoum Juba Kampala Khartoum
Document preparation 34 10 24 525 350 750
Port and terminal handling (Mombasa) 6 5 11 390 150 350
Customs clearance 3 6 7 430 390 300
Inland transportation 17 13 4 8,075 2,050 1,500
Total 60 34 46 9,420 2,940 2,900

Source: World Bank.

Government priorities

According to the South Sudan Growth Strategy, the government is pursuing a broad-based approach for reducing the country’s “absolute dependence” on oil and establishing a diversified, inclusive, and sustainable economy.[18] A central component of the Growth Strategy is adopting policies designed to stimulate growth in low-skill, labor-intensive sectors.

Existing donor programs

As of 2010, donors’ private sector–related project portfolio totaled almost $730 million (table 6.7).[20] Actual donor expenditures totaled roughly $212 million for PSD in 2009, or roughly a quarter of total outlays for all donor projects. Slightly more than half of this total was allocated to the construction of roads throughout South Sudan. Agriculture programs—dominated by capacity-building and distribution of inputs (for example, seeds)—are the second-largest sector by project portfolio (roughly $196 million).

Table 6.7: Donor funding for private sector–related projects, 2010

Sector Number of projects Project portfolio ($ millions) Average project size ($ millions) Percentage of total
Agriculture 28 195.9 7.0 27
Infrastructure 11 386.5 35.1 53
Electricity 1 13.2 13.2 2
Transport 10 373.3 37.3 51
Regulatory 15 134.9 89.9 18
Economic policy and financial management 7 41.3 5.9 6
Labor 2 29.4 14.7 4
Legal system 6 30.3 5.0 4
Finance 1 12.6 12.6 2
Total 55 729.9 13.3 100

Source: Government of South Sudan (2010b) and authors’ calculations.

Donor alignment with business constraints

Overall, donor programs are not aligned with many of South Sudan’s greatest business environment obstacles—particularly electricity and access to finance (figure 6.1). Despite these being the two largest business constraints, donors supported only one electricity project and one microfinance-related program as of 2010.[21] Taken together, these two projects total less than 4 percent of all private sector–related projects ($26 million of roughly $730 million; see table 6.7).[22] Going forward, donor funding for power generation and banking programs could have a significant positive impact on business activity in South Sudan. However, donor programs are focusing on several important private sector obstacles, such as transport infrastructure and economic and regulatory institutions. As noted previously, the expansion of South Sudan’s nearly nonexistent road network is one positive area of donor engagement.

Figure 6.1

Ideally, donor institutions would take a division-of-labor approach both among themselves and with the recipient country government. But that does not appear to be the case in South Sudan for the aforementioned neglected constraints to private sector growth. Between 2006 and 2010, the government directed only 1 percent of its total budget expenditures toward expanding access to reliable electricity.[23] By contrast, it provided roughly 8.4 percent of budget expenditures for transport construction and rehabilitation (SDG 1.8 billion). Put differently, both the government and donor institutions are crowding into several important sectors while almost completely ignoring several major constraints to more urban-based business activity.

Donor alignment with government priorities

In contrast to business constraints, donors are very well aligned with the South Sudanese government’s priorities. Overall, roughly 90 percent of PSD-related projects are focused on the government’s priority business constraints and economic sector (agriculture). The alignment ratio rises to 95 percent if measured as a percentage of total PSD-related project commitments (table 6.8). The one outlier is the nearly complete lack of donor assistance to improve access to financing. As noted previously, donors have supported only one microfinance project in South Sudan. This suggests that donors should explore ways of helping South Sudanese farmers and business owners to better access affordable expansion and operating capital.

Table 6.8: Donor alignment with government priorities

Donor alignment Priority PSD projects
Business constraints Percentage of all projects (by value) Percentage of all projects (by number) Total value ($ millions) Number of projects
Business constraints 63 44 457.5 24
Transport 51 18 373.3 10
Rule of law 4 11 30.3 6
Economic policy management 6 13 41.3 7
Access to finance 2 2 12.6 1
Agriculture 27 51 195.9 28
Total 90 95 653.3 52

Source: Government of South Sudan and authors’ calculations.

Donor alignment with what works

Figure 6.2

Next, we examine donor alignment with PSD-related sectors and subsectors that exhibited higher project outcome ratings in African and non-African fragile states over time.[24] Given the impracticality of gauging historical project performance across the 15 different donor organizations with active PSD-related programs in South Sudan, we use the World Bank’s Independent Evaluation Group project outcome rating figures as a proxy (see chapter 5). As figure 6.2 illustrates, existing donor projects exhibit mixed alignment results with higher performing PSD-related sectors. Except for two regulatory subsectors (legal system reform and labor policy), the percentage of donor projects targeting specific PSD-related areas is higher in subsectors with better average project outcome ratings. But donors’ heavy focus on road transport and agriculture sectors—accounting for 80 percent of all PSD-related projects—may be considered excessive based solely on their historical outcome performance in fragile state environments.

Conclusion

Overall, donors exhibit strong alignment with one of the proposed guiding PSD framework pillars (government priorities) and modest alignment with what has worked in other fragile state environments over time. Alignment with firm views about major constraints is mixed at best—stemming largely from the disconnect between what South Sudanese firms and the government believe are the most pressing PSD constraints. This apparent conflict illustrates the operational and strategic complexities of balancing rural development–based growth strategies with the needs and priorities of largely urban firms that are represented in World Bank Enterprise Surveys. The World Bank Group can respond to this phenomenon by better reflecting the views of rural businesses (including smallholder farmers) in their survey diagnostics, particularly for African countries with sizable employment shares in the agriculture sector.

Regardless of this issue, there is a clear need for donors to give greater priority to PSD-related programs to improve access to and cost of finance, for both South Sudanese farmers and other economic sectors. But with finance projects’ poor performance in fragile states over time, careful consideration should be given to ensuring an improved track record in South Sudan. Moreover, donors should give additional consideration to whether a heavier emphasis on electricity infrastructure would be justified, both in the context of addressing firms’ views and of broader economic and social development imperatives.

Notes


[1] SSCCSE (2010).

[2] World Bank (2010d).

[3] World Bank (2011c).

[4] Bank of South Sudan.

[5] The most commonly cited factor is South Sudan’s long civil war, which devastated formal institutions, market linkages, and traditional relationships in the private sector. Other related factors include: limited bank presence and competition, extensive usage of barter-based trading (low money usage), weak or nonexistent credit bureaus, and lack of borrower collateral. Several of these issues are examined in subsequent sections.

[6] Atil (2009).

[7] Nearly 80 percent of South Sudanese households rely on crop farming and animal husbandry for their main source of income. SSCCSE, 2010 Statistical Update, p. 45.

[8] Ibid. By comparison, microfinance institution lending rates average roughly 30 percent in Kenya.

[9] The Land Act of 2009 permits land title holders to use their title as collateral for loans and financial institutions to foreclose on the associated land title in the event of default. But poor institutional capacity and systems for land registry has continued to deter collateralized lending. In February 2010, the South Sudan Land Commission announced a new five-year strategic plan to address many of these deficiencies, such as improving land mapping, survey activities, and computerization of the land registry.

[10] Between 2004 and 2010, the World Food Programme (WFP), USAID, Ministry of Transport and Roads, and other donor organizations constructed these 4,100 kilometers of trunk roads (2,600 by WFP and 1,500 by the ministry). In March 2011, the WFP announced an $80 million program to construct approximately 500 kilometers of feeder roads, which will link existing trunk roads and improve access to food assistance beneficiaries and agricultural production areas (WFP 2011).

[11] For example, operating expenses (including road maintenance) accounted for only 1.3 percent of the Ministry of Transport and Roads budget in 2010. See Government of South Sudan (2010a).

[12] As of 2010, Reuters reported that plans to build a “Sudan East Africa Railway” through Juba and into Uganda were still in the discussion phase (Reuters 2010).

[13] Emerson (2006).

[14] World Bank (2011c).

[15] World Bank (2011c). Imports must pass through six separate checkpoints along the 200 km between Juba and the Ugandan border crossing (Nimule).

[16] World Bank (2011c).

[17] This is required every time a firm imports or exports products and involves the submission of six separate documents to the Bank of South Sudan. On average, this step takes more than 20 days to complete.

[18] Government of South Sudan (2010c).

[19] Government of South Sudan (2010c).

[20] Additional donor programs have been initiated or proposed since the publication of the Government of South Sudan’s Donor Book 2010. For example, the IFC proposed a modest new program in early 2011 focused on generating at least 15 new high-quality investments in non-oil sectors, especially agribusiness; increasing new business registrations from 8,000 to 13,000; decentralizing the business registration to locations in at least three states; and using alternative dispute resolution in at least 200 business disputes. For more information, see www.ifc.org for all available project documents.

[21] USAID’s Sudan Infrastructure Services Project (Electrification Program) will provide $13 million to support the construction of electricity infrastructure in Kapoeta and Maridi and the training of Electricity Corporation personnel. The 894-kilowatt power plant was inaugurated in February 2011. See Ruati (2011). USAID’s Generating Economic Development through Microfinance in Southern Sudan will provide $12.6 million to improve microfinance institution’s managerial capacity and to provide loan capital for the expansion of microfinance facilities and geographic coverage. See Government of South Sudan (2010b).

[22] Of course, donor projects across sectors will vary in terms of size and cost. As such, relative funding volume is an imperfect measure for comparing donor priorities.

[23] Government of South Sudan (2010b) and authors’ calculations.

[24] As in chapter 5, this analysis is based on average IEG project outcome ratings by sector and subsector.

Table 6.4: Distribution of commercial banking services, by state (number of branches) [CLOSE TABLE]

Bank of South Sudan Nile Commercial Ivory Bank Buffalo Commercial Agricultural Bank Kenya Commercial Equity Bank Commercial Bank of Ethiopia Total Δ
State 2010 2008 2010 2008 2010 2008 2010 2008 2010 2008 2010 2008 2010 2008 2010 2008 2010
Upper Nile 1 3 2 2 2 2 2 7 7 0
Jonglei 1 1 1 1 2 1
Unity 1 1 1 1 1 3 2
Warrap 1 1 0 –1
Northern Bahr El Ghazal 1 1 1 1 1 3 2 –1
Western Bahr El Ghazal 1 2 1 1 1 1 1 1 4 5 1
Lakes 1 1 1 1 2 2 0
Western Equatoria 1 1 1 1 2 1
Central Equatoria 2 4 3 2 2 2 1 1 1 4 1 1 3 9 18 9
Eastern Equatoria 1 1 1 1 0
Total 4 16 12 6 7 0 3 5 4 2 8 1 1 0 3 30 42 12
# of ATMs 10111

Conclusion

The World Bank Group and other development institutions have committed to further prioritize programmatic operations in fragile states. The strategic imperative for this focus is particularly warranted given the projected IDA graduation by more than half of its existing client countries by 2025. And the World Bank Group’s existing efforts to devise a new Group-wide strategy for fragile states present an opportune time to reexamine one key aspect of its operations—promoting private sector development. This report examines three key private sector–related factors in African fragile states: what businesses cite as the most binding constraints to private sector growth; what government priorities are for business climate improvements or strategic economic sectors; and what types of projects have been more effective over time. Subsequently, we assess the alignment of World Bank Group operations within these three areas over the past decade. Overall, we find that project alignment varies widely across the World Bank Group’s three largest subsidiaries—the International Development Association (IDA), International Finance Corporation (IFC), and Multilateral Investment Guarantee Agency (MIGA).

Moving forward

Despite several bright spots, our analysis suggests that strategic changes in the World Bank Group’s operations are needed—particularly for IFC and MIGA. Given this, we propose a new methodology by which they could prioritize and structure assistance and investment programs in fragile states. Our conceptual model brings together three simple, yet fundamental, components for policy design—what is needed, what is wanted, and what works.

When viewed together, these three analytical components can help the World Bank Group and other development organizations prioritize private sector–related programs in fragile states. Ideally, donor institutions would pursue projects in sectors or areas where all three components intersect (what the private sector needs, what the government wants, and what donors do effectively). But there will be situations or environments in which multilateral organizations may wish to pursue projects or investments that do not meet this condition.

The challenge will be ensuring flexible operational and institutional structures to implement these objectives. Broadly speaking, three main areas need to be addressed: improving managerial capacity to enable a bolder approach to fragile states; significantly changing human resources strategies to attract and retain staff who are willing to take risks and understand the conditions of operating in fragile states; and improving the incentives of existing staff so that they are more willing to take on riskier projects. Each of these areas is enormously challenging, but must receive concerted efforts in order for a fragile states–specific agenda to be implemented.

Note


[1] As chapter 5 notes, evaluation results vary widely by country and sector. IDA, IFC, and MIGA might consider country priorities, business constraints, and evaluation results on a country-level basis. Further, evaluation results by sector might be considered in relative terms compared with other sectors. For example, if single country evaluation results are low across the board (as, for example, in the Democratic Republic of Congo), road projects with an average score of just 2.5 might be prioritized over oil, gas, and mining projects, which have an average score of 1.5.

Appendixes

Please see the pdf for full appendixes

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Copyright © 2012 by the Center for Global Development. Cover photo: United Nations Environment Programme. Editing and print design and production by Communications Development Incorporated, Washington, D.C., and Peter Grundy Art & Design, London. Online design and production by John Osterman. The Center for Global Development is grateful for contributions from the Royal Danish Embassy in support of this work.

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