## wpiea2025188-source-pdf

## Source details

**Canonical URL:** [wpiea2025188-source-pdf](https://www.imf.org/-/media/files/publications/wp/2025/english/wpiea2025188-source-pdf.pdf)

## Other formats

- [Markdown version](/-/media/files/publications/wp/2025/english/wpiea2025188-source-pdf.pdf.md)
- [Structured JSON version](/-/media/files/publications/wp/2025/english/wpiea2025188-source-pdf.pdf.json)

---

### I. Introduction: scope and methodological highlights
- Regional focus: sub-Saharan Africa (SSA); WBES firm-level data across "40 countries in the region".
- Sample scale: "more than 40,000 firm-level observations"; reported sample size "n=41,334" (Table A1).
- Firm-size classification:
  - small: "5–19 employees"
  - medium: "20–99 employees"
  - large: "100+ employees"
- Seven obstacle areas analyzed: financial constraints, inadequate infrastructure, weak business environment, informal competition, inadequate labor education, corruption, lack of security.
- Measurement strategy:
  - Dual-measurement approach: perception-based measures (firms' ratings) and proxy-based measures (objective indicators constructed using PCA).
  - PCA used to construct composite indices; first principal component scaled to standardized indices.
  - Empirical model: Y{i,c,s,t} = α + β G{i,c,s,t} + γ X{i,c,s,t} + λ{c,s,t} + ε{i,c,s,t}, with extensive fixed effects and firm controls.

### III. Data, sampling, and empirical framework
- Data coverage: WBES from 2003 to 2023; 145 survey variables grouped into seven obstacle areas.
- Sectoral coverage: manufacturing (textiles, food processing, chemicals, machinery) and services (retail, hospitality, ICT, transportation, repair services); agriculture, public administration, education, and healthcare excluded.
- Geographic coverage: urban and semi-urban areas; country categorization by resource groups referenced (Table A4, Figure A5 in source).
- Empirical outcomes (Y):
  - Exporter: binary = 1 if firm exports "10 percent or more of its sales".
  - Importer: binary = 1 if firm directly imports inputs.
  - Sales Growth: "logarithmic growth rate of firm sales".
  - Employee Growth: growth between survey year (t) and three years prior (t-3).
  - Total employee growth normalized by firm age.
- Firm-specific obstacle variables (G): estimated via two separate models — perception-based obstacles and proxy-based obstacles.
- Controls (X): firm age, ownership, formality, international recognition, gender of top manager/owner.
- Fixed effects (λ): country (C_c), sector (S_s), year (θ_t), and interactions (C_c * S_s, C_c * θ_t, S_s * θ_t).

### Measurement details: perception-based versus proxy-based
- Perception-based measures:
  - Firms rate obstacles from "No Obstacle" to "Very Severe Obstacle".
  - PCA groups 15 original obstacles into seven indices: Financial Constraints; Inadequate Infrastructure; Weak Business Environment; Informal Competition; Inadequate Labor Education; Corruption; Lack of Security.
- Proxy-based measures:
  - Constructed from objective firm-level indicators (examples preserved verbatim):
    - Financial Constraints: access to bank loans, reliance on internal funds, availability of overdraft facilities, collateral requirements.
    - Inadequate Infrastructure: electricity outages, water supply interruptions, transportation challenges, internet connectivity issues.
    - Weak Business Environment: time spent dealing with regulations, permit delays, property ownership status.
    - Informal Competition: reported competition from unregistered businesses and government ownership presence.
    - Inadequate Labor Education: workforce education levels, training provision, skilled worker availability.
    - Corruption: reported bribe requests for various services.
  - PCA applied within obstacle groups; first principal component used to score and standardize indices.

### Key findings: overall and ranked impacts (preserve reported magnitudes)
- Dominant impediments (proxy-based synthesis):
  - "Financial constraints and corruption are the most severe impediments to firm growth in SSA."
  - Corruption shows the largest negative magnitude on sales growth, "nearly twice the impact of financial constraints."
  - Exact reported magnitudes:
    - One unit increase in the composite financial constraint index associated with a "15.6 percent decline in sales growth" (sales growth in logarithmic growth rate).
    - Corruption reduces sales growth by "nearly 31 percent" in the full sample; elsewhere stated as "-30.8 percent for the proxy-based synthesis."
  - Employment impacts:
    - Financial constraints "reduce employment growth for SMEs by over 10 percent."
- Perception vs proxy divergence:
  - Perception-based measures often show limited statistically significant associations with firm sales growth; proxy-based measures provide stronger, more consistent evidence of negative impacts.
  - Perception-based results show heterogeneity and potential selection bias (e.g., firms perceiving inadequate labor education sometimes exhibit higher sales growth).
- Heterogeneity by country group:
  - Oil-exporting countries: distinctive patterns where corruption and inadequate labor education can appear positively associated with firm performance in some specifications.
  - Resource-intensive countries: informal competition effects particularly severe.
  - Non-resource-intensive countries: perceived inadequate infrastructure more negatively correlated with sales growth.
- Firm-size heterogeneity:
  - SMEs are "consistently more vulnerable" to financial constraints and inadequate labor education compared with large firms.
  - SMEs rely more on supplier/customer advances and informal borrowing; large firms more likely to have overdraft facilities and audited financial statements.

### Component-variable findings (selected obstacle areas)
- Financial constraints:
  - Low reported share of SSA firms with a loan or line of credit (figure references in source).
  - SMEs face greater obstacles obtaining bank credit than large firms; rely more on informal borrowing and personal loans.
  - Collateral and documentation constraints—especially in resource-intensive countries—hinder credit access; SMEs have lower certification rates by external auditors.
- Corruption and informal payments:
  - SMEs in some contexts pay on average "3.6 percent of their annual sales in informal payments" (Figure 5.2) — described as "double or more the burden faced by firms in non-resource-intensive economies."
  - SMEs more frequently asked for informal payments during inspections than large firms.
  - Regression evidence (proxy-based) finds corruption's negative impact on sales growth "nearly twice the impact of financial constraints."
  - Oil-exporting and resource-intensive economies exhibit especially acute rent-seeking.
- Informal competition:
  - Larger share of SMEs report adverse effects compared to large firms; "even among large firms, nearly half or more feel the impact of the informal sector."
  - Informal competition and public sector competition hinder sales, employment growth, and capacity utilization; more pronounced in resource-intensive countries.
- Weak business environment and administrative burdens:
  - SMEs face longer delays for permits and licenses; higher distrust of the court system; SMEs spend "a higher share of management time dealing with regulations than large firms, particularly in oil-exporting countries."
- Inadequate labor education and training:
  - SMEs have lower shares of employees with completed high school; "a significant share of firms—particularly SMEs—do not offer formal training to full-time employees."
  - Large firms more likely to provide training.
- Infrastructure:
  - Severe outages: "SMEs experiencing up to 30 outages per month" in oil-exporting countries (Figure 9.1).
  - Sales losses: "SMEs in oil-exporting countries lost over 15 percent of their annual sales due to outages" (Figure 9.2).
  - Digital adoption gaps: many SMEs do not use email for business communication and have low website ownership.
  - Mixed empirical effects: infrastructure constraints show heterogeneous associations, sometimes positive with sales and employment—possible adaptation or selection effects.
- Lack of security:
  - "More than half of both large firms and SMEs report paying for security services."
  - Losses due to theft "particularly severe among SMEs," with firms in oil-exporting countries losing the most.
  - Security deficits increase private security costs, deter investment, shorten operating hours, and can push firms toward informality or closure.
  - Nuanced empirical associations: crime and instability reduce capacity utilization but may be positively associated with sales and employment growth or innovation in some contexts.

### Policy recommendations (preserve framing)
- Broad priorities:
  - "Prioritize broad-based improvements in governance and infrastructure to support growth across all firms."
  - "Tackle corruption via governance, transparency, and limits on administrative discretion to reduce distortions and diversion of productive resources."
- SME-targeted measures:
  - "Near-term reforms to expand access to finance" and channel idle bank liquidity into productive SME lending.
  - Reduce administrative burdens for SMEs; improve access to credit documentation and collateral reforms.
  - Address skills shortages: incentives for firm-provided training and alignment of education with labor market needs.
- Context-specific guidance:
  - Oil-exporting countries: "address institutional distortions arising from resource wealth."
  - Non-resource-intensive countries: "prioritize infrastructure investments for firm growth."
  - Resource-intensive countries: "focus on reducing informal competition and strengthening formal market structures."
- Measurement and policy design:
  - "Combine perception-based and proxy-based evidence when identifying and prioritizing constraints" because of divergence between subjective and objective measures.
  - Build policy credibility to strengthen investor confidence and encourage private-sector-led growth.

### Limitations and suggested research directions
- Cross-sectional nature of WBES limits causal inference; recommendation for longitudinal firm-level studies to track the effects of changing constraints over time.
- Further research should explore interactions, complementarities, and substitution effects among constraints and unpack PCA-derived indices by analyzing high-loading component variables.

*Source: wpiea2025188-source-pdf*

### References .............................................................................................................

### wpiea2025188-source-pdf - References

### I. Introduction
- Private sector development is a key driver of economic growth and job creation; firms in sub-Saharan Africa (SSA) face persistent constraints including limited access to finance, inadequate infrastructure, regulatory inefficiencies, and governance challenges such as corruption and political instability.
- Firms in SSA are often fragmented, dominated by informality, and unable to drive sustained job creation and productivity gains needed for inclusive growth.
- This study uses firm-level data from the World Bank Enterprise Surveys (WBES) across 40 countries in the region and applies both perception-based and proxy-based measures to capture constraints affecting firms of different sizes and industries.
- Methodological highlights:
  - Use of Principal Component Analysis (PCA) to construct indices integrating multiple firm-level characteristics for seven obstacle areas.
  - Comparison of perception-based measures and objective proxy indicators to disentangle subjective perceptions from structural challenges.
- Key analytical insights:
  - Corruption and financial constraints are identified as the most consistent impediments to firm development, with heterogeneity across countries and firm sizes.
  - Small and medium-sized enterprises (SMEs) would benefit from near-term reforms expanding access to finance and longer-term investments in human capital and institutional capacity.
  - The disconnect between firm perceptions and objective constraints underscores the need for evidence-based, context-specific policy interventions and for building policy credibility to attract private investment.

### II. Literature Review
- Prior findings summarized:
  - Political instability, corruption, and limited financial access identified as major barriers in related regions (EBRD 2016).
  - Regulatory burdens and corruption significantly undermine firm productivity (Dollar and Mengistae 2005).
  - Governance, trade, and financial reforms can accelerate convergence rates by approximately one percentage point in low-income countries (IMF 2019).
  - Firm-level productivity disparities account for substantial cross-country income variation (Francis et al. 2020).
  - Access to finance strongly correlates with firm performance in SSA (Fowowe 2017); trust in financial institutions matters for outreach (Beck et al. 2007).
  - Corruption can reduce firm growth by nearly 20 percent by diverting resources to "grease payments" (Fisman and Svensson 2007).
  - Business training and managerial practices can materially improve firm productivity (McKenzie and Woodruff 2013; Campos et al. 2017).

### III. Data and Methodology
- Data source and scope:
  - WBES covering 40 SSA countries from 2003 to 2023.
  - Dataset comprises more than 40,000 firm-level observations.
  - Survey includes 145 variables categorized into seven primary obstacle areas: financial constraints, inadequate infrastructure, lack of competition, weak business environment, inadequate labor education, corruption, and political instability.
- Sampling:
  - Stratified random sampling by sector, size, and geographic region within each country to ensure representation across firm types and regions.
- Firm classifications:
  - Firm Size: small (5–19 employees), medium (20–99 employees), large (100+ employees).
  - Sectoral Coverage: manufacturing (textiles, food processing, chemicals, machinery) and services (retail, hospitality, ICT, transportation, repair services); agriculture, public administration, education, and healthcare excluded.
  - Geographical Representation: urban and semi-urban areas captured to reflect varying economic dynamics and infrastructure conditions.
- Additional sample features:
  - Table A4 and Figure A5 (referenced) outline country categorization by resource groups and composition by firm size and sector.
  - In non-resource and resource-intensive countries, other services primarily include hotels, restaurants, and construction; in oil-exporting countries, services mainly include hotels, restaurants, and transportation.

### Empirical Framework
- Estimated model:
  푌{푖,푐,푠,푡} = 훼 + 훽 퐺{푖,푐,푠,푡} + 훾 푋{푖,푐,푠,푡} + 휆{푐,푠,푡} + 휀{푖,푐,푠,푡}
- Definitions:
  - i,c,s,t represent firms, countries, sectors, and years, respectively.
  - Y{ i,c,s,t } is a measure of firm outcomes, including:
    - Exporter: A binary variable equal to 1 if the firm exports 10 percent or more of its sales.
    - Importer: A binary variable equal to 1 if the firm directly imports inputs.
    - Sales Growth: The logarithmic growth rate of firm sales.
    - Employee Growth: Measured as growth between the survey year (t) and three years prior (t-3).
    - Total employee growth normalized by firm age: The change in employment from foundation to current year, adjusted for firm age.
  - G{ i,c,s,t } represents firm-specific obstacle variables, estimated in two separate models:
    1. Perception-based obstacles: Direct measures of firms' perceptions of constraints.
    2. Proxy-based obstacles: Objective indicators constructed using PCA.
  - X{ i,c,s,t } includes firm characteristics such as firm age, ownership structure (private vs. public), formality status, international recognition, gender of top manager or owner.
  - λ{ c,s,t } represents fixed effects, including country fixed effects (퐶_c), sector fixed effects (푆_s), year fixed effects (휃_t), and interactions between country, sector, and year (퐶_c ∗ 푆_s, 퐶_c ∗ 휃_t, 푆_s ∗ 휃_t).
  - ε{ i,c,s,t } is the error term.
- Rationale:
  - Multiple fixed effects and their interactions control for unobserved heterogeneity at country, sector, and year levels and help mitigate omitted variable bias.

### Measurement of Obstacles
- Dual-measurement approach: perception-based and proxy-based measures to capture subjective assessments and objective conditions.
- Perception-Based Measures:
  - Firms rate obstacles on a scale from "No Obstacle" to "Very Severe Obstacle."
  - PCA groups 15 original obstacles into seven composite indices:
    1. Financial Constraints: Access to finance, cost of finance, collateral requirements.
    2. Inadequate Infrastructure: Electricity, transportation, telecommunications.
    3. Weak Business Environment: Regulatory burdens, administrative procedures, property rights.
    4. Informal Competition: Competition from unregistered firms, unfair competitive practices.
    5. Inadequate Labor Education: Skills availability, workforce education, training opportunities.
    6. Corruption: Informal payments, bribery, rent-seeking behavior.
    7. Lack of Security: Crime, theft, disorder, political instability.
  - Purpose: capture firms' subjective experiences while reducing dimensionality and multicollinearity.
- Proxy-Based Measures:
  - Constructed objective indicators using firm-level characteristics and market conditions; examples provided include:
    1. Financial Constraints: access to bank loans, reliance on internal funds, availability of overdraft facilities, collateral requirements.
    2. Inadequate Infrastructure: electricity outages, water supply interruptions, transportation challenges, internet connectivity issues.
    3. Weak Business Environment: time spent dealing with regulations, permit delays, property ownership status.
    4. Informal Competition: reported competition from unregistered businesses and government ownership presence.
    5. Inadequate Labor Education: workforce education levels, training provision, skilled worker availability.
    6. Corruption: reported bribe requests for various services.

### Key Findings and Policy Implications (as reported)
- Findings:
  - Corruption and financial constraints emerge as the most consistent impediments to firm development across SSA, with heterogeneity across countries and firm sizes.
  - The interplay between firm capabilities and the broader institutional environment matters: both firm-level capabilities and institutional quality influence firm outcomes.
  - Disconnects between firm perceptions and objective constraints suggest that subjective assessments alone may misidentify policy priorities.
- Policy recommendations:
  - Prioritize broad-based improvements in governance and infrastructure to support growth across all firms.
  - Adopt targeted interventions for SMEs, including near-term reforms to expand access to finance and longer-term investments in human capital and institutional capacity.
  - Design reforms that build policy credibility to strengthen investor confidence and encourage private-sector-led growth.
  - Tailor evidence-based policies to the specific realities of firms operating in different economic contexts, rather than a one-size-fits-all approach.

*International Monetary Fund — References excerpt from wpiea2025188-source-pdf*

### 7. Lack of Security: Reflected in security costs, losses due to theft, and crime-related disruptions.

### wpiea2025188-source-pdf - 7. Lack of Security: Reflected in security costs, losses due to theft, and crime-related disruptions.

### Data Preparation and Index Construction
- Dataset cleaning steps:
  - Re-coded variables to address missing and erroneous values; standardized binary variables; replaced coded missing values (e.g., -9, -8) with true missing values.
  - Selected variables winsorized at the 1st and 99th percentiles to reduce influence of extreme outliers.
- Index construction:
  - Applied Principal Component Analysis (PCA) to conceptually related groups of variables for each obstacle area.
  - Used the first principal component to generate a score representing each obstacle, then scaled to create standardized indices.
  - Example indices:
    - Inadequate Infrastructure index includes electricity reliability, power outage frequency and duration, private generator usage, water supply interruptions, and internet access.
    - Financial Constraints index combines measures of working capital sources, reliance on internal versus external funding, availability of savings or overdraft facilities, and collateral requirements.

### Perceptions: Top obstacles and heterogeneity
- Firm perceptions converge on three primary obstacles: inadequate infrastructure, lack of security, and weak business environment.
- Country- and firm-size heterogeneity:
  - In resource-intensive countries, SMEs identify financial constraints as more pressing than security concerns.
  - Lower-income countries emphasize financial constraints and security concerns; high-income countries highlight inadequate labor education and competition from the informal sector and government.
- Perception-based regressions:
  - Few statistically significant associations between perceived obstacles and firm sales growth; many significant results suggest potential self-selection bias.
  - Firms perceiving inadequate labor education as a major obstacle tend to exhibit higher sales growth.
  - In oil-exporting countries, firms citing a weak business environment and large firms perceiving corruption are associated with stronger growth outcomes.
  - In non-resource-rich countries, perceived inadequate infrastructure negatively correlates with sales growth.
  - Among SMEs, perceptions of weak business environments and security concerns are linked to lower sales growth.

### Analysis of Perception-Based Measures (highlights)
- Perceived financial constraints:
  - Limited and inconsistent associations with firm performance; may reflect adaptation to chronic financing limitations or underreporting.
- Perceived corruption:
  - Mixed associations: weakly associated with firm performance in full sample but positively linked to growth in oil-exporting countries and among large firms—potentially reflecting political-economy dynamics.
- Perceived informal competition:
  - Limited correlation with performance except in resource-intensive countries where perceptions align with lower sales growth.
- Perceived regulatory/administrative barriers:
  - Linked to weaker sales growth in non-resource-intensive countries and among SMEs; in oil exporters, such perceptions often accompany higher growth—possibly survivorship bias.
- Perceived labor skill gaps:
  - Often positively associated with firm growth, possibly reflecting increased demand for skilled labor among expanding firms.
- Perceived infrastructure constraints:
  - In non-resource-intensive economies, associated with lower growth; in full sample, weak associations with outcomes.
- Perceived lack of security:
  - Generally uncorrelated with firm performance except among SMEs, where it is associated with lower sales growth.

### Proxy-Based Measures: Overview and comparison with perceptions
- Proxy-based measures provide more objective evidence and often diverge from perception-based findings.
- Magnitude ranking of proxy-based negative impacts on sales growth (full sample):
  - Corruption and financial constraints show the most significant negative impacts.
  - Followed by informal competition and weak business environment.
- Financial constraints:
  - Consistently hinder sales growth across country groups; associated with sharp declines in sales growth in the full sample.
  - Reduce employment growth for SMEs by over 10 percent.
  - One unit increase in the composite financial constraint index is associated with a 15.6 percent decline in sales growth (sales growth is in logarithmic growth rate of firm sales).
- Corruption:
  - Sales growth reduced by nearly 31 percent in the full sample; elsewhere stated as -30.8 percent for the proxy-based synthesis.
  - Impedes employment growth and innovation; oil exporters are an outlier where firms experiencing corruption may see higher growth.
- Informal competition and public sector competition:
  - Hinder sales and employment growth, reduce capacity utilization; more pronounced in resource-intensive countries.
  - Firms facing high informal competition are more likely to import inputs.
- Regulatory inefficiencies and administrative burdens:
  - Weigh on competitiveness, especially in non-resource-intensive countries; weak business environment associated with lower trade participation.
- Human capital constraints:
  - Limit firm growth, particularly for SMEs; lower sales growth and employee growth; negative effect on innovation.
  - In oil-exporting countries, relationship can turn positive.
- Infrastructure challenges:
  - Mixed effects; firms facing constraints sometimes report better outcomes (higher sales, employee growth, capacity utilization), possibly due to resilience or geographic clustering of better-performing firms within countries.
- Security challenges:
  - Nuanced effects: crime and instability reduce capacity utilization but are positively associated with sales and employment growth in some contexts; positive link to innovation in some cases.
  - SMEs remain particularly exposed to insecurity costs without robust policing and justice systems.

### Synthesis of Proxy-Based Findings (key takeaways)
- Financial constraints and corruption are the most severe impediments to firm growth in SSA; corruption shows the largest negative magnitude on sales growth (-30.8 percent).
- Heterogeneous effects across country groups:
  - Oil-exporting countries exhibit distinct patterns, especially for corruption and inadequate labor education.
- Firm-size heterogeneity:
  - SMEs face disproportionate challenges, especially from financial constraints and inadequate labor education.
- Multifaceted obstacle effects:
  - Obstacles affect different performance metrics differently; infrastructure shows mixed or positive associations with some outcomes, indicating adaptation mechanisms that merit further investigation.

### Component-Variable Analysis: purpose
- PCA-derived indices can obscure variation across component variables.
- Analysis isolates indicators with highest factor loadings to identify core impediments within each obstacle category, ensuring sufficient sample sizes for robustness.

### Financial Constraints: component findings and firm-size differences
- Low reported percentage of SSA firms with a loan or line of credit from financial institutions (Figure references in source).
- SMEs face acute financing challenges:
  - Greater financing obstacles obtaining bank credit than large firms.
  - SMEs rely more on supplier and customer advances and informal borrowing (relatives and friends), especially in oil-exporting economies.
  - Nonbank financial institutions, including microfinance providers, play a limited role in financing working capital.
- Firm-size advantages:
  - Large firms more likely to have overdraft facilities across country groups.
  - SMEs rely far more on outstanding personal loans to finance business activities, especially in non-resource-intensive economies.
- Collateral and documentation constraints:
  - High collateral requirements—especially in resource-intensive countries—hinder credit access.
  - SMEs face significantly lower certification rates of financial statements by external auditors across country groups, complicating credit assessment by banks.

### Corruption: component findings and SME vulnerability
- Corruption in the form of bribes and informal gifts diverts resources from productive investment and disproportionately affects SMEs.
- SMEs report higher incidence of being asked for informal payments during inspections compared to large firms.
- Problem acute in oil-exporting and resource-intensive economies where rent-seeking is more entrenched.

*Source: wpiea2025188-source-pdf - 7. Lack of Security: Reflected in security costs, losses due to theft, and crime-related disruptions.*

### 3.6 percent of their annual sales in informal payments as seen in Figure 5.2—double or more the burden faced

### wpiea2025188-source-pdf - 3.6 percent of their annual sales in informal payments as seen in Figure 5.2—double or more the burden faced

### Corruption and Informal Payments
- Small and medium enterprises (SMEs) in some contexts pay on average "3.6 percent of their annual sales in informal payments" (Figure 5.2), described as "double or more the burden faced by firms in non-resource-intensive economies."
- Large firms also incur informal payment costs, but "typically less than SMEs."
- Corruption acts as a barrier to entry, growth, and access to public procurement (Figure 5.3).
- Regression evidence (proxy-based measures) shows corruption has a large negative magnitude on sales growth, "nearly twice the impact of financial constraints."

### Informal Competition
- The informal sector creates unfair competition via tax evasion, labor and safety regulation avoidance, and price undercutting, distorting the playing field for formal firms.
- Across country types, "a larger share of SMEs report being adversely affected by informal competition compared to large firms"; "even among large firms, nearly half or more feel the impact of the informal sector."
- Resource-intensive countries face particularly severe challenges from informal competition.
- Government ownership incidence is higher among large private firms, "particularly in oil-exporting countries," suggesting public ownership in the private sector may affect competition and resource allocation.

### Weak Business Environment and Administrative Burdens
- Weak business environment captures restrictive and inconsistent policies, bureaucratic red tape, lengthy delays, and complex procedures.
- A sizable share of firms "report having submitted applications for import and operating licenses in the past two years," with SMEs facing longer delays (Figures 7.1 and 7.2).
- Perceptions of judicial fairness: "a larger share of SMEs distrusts the court system compared to large firms" (Figure 7.3).
- SMEs spend "a higher share of management time dealing with regulations than large firms, particularly in oil-exporting countries" (Figure 7.4).
- Implication: regulatory and administrative burdens disproportionately raise operating costs for SMEs and are especially acute in oil-exporting and resource-intensive economies.

### Inadequate Labor Education and Training
- SMEs have lower shares of employees with completed high school education compared to large firms (Figure 8.1).
- "A significant share of firms—particularly SMEs—do not offer formal training to full-time employees" (Figure 8.2).
- Large firms are more likely to invest in training than SMEs.
- Policy gap: need for targeted education and skills policies and incentives for firm-provided training to better align education with labor market needs and to close gender gaps.

### Inadequate Physical and Digital Infrastructure
- Frequent and prolonged power outages are widespread; "SMEs experiencing up to 30 outages per month" in oil-exporting countries (Figure 9.1).
- "SMEs in oil-exporting countries lost over 15 percent of their annual sales due to outages" (Figure 9.2).
- Digital adoption gaps: a significant share of SMEs do not use email for client/supplier communication and a low percentage have their own website (Figures 9.3 and 9.4).
- Conclusion: infrastructure weaknesses (power reliability, broadband access, digital adoption) are structural constraints that disproportionately harm SMEs and hinder formalization and participation in global value chains.

### Lack of Security
- More than half of both large firms and SMEs "report paying for security services" (Figures 10.1 and 10.2).
- Losses due to theft are "particularly severe among SMEs," with firms in oil-exporting countries losing the most among all groups.
- Security deficits increase costs (private security), deter investment, limit operating hours, and can push firms toward informality or closure.

### Empirical Findings, Heterogeneity, and Key Statistics
- Data source: World Bank Enterprise Surveys across 40 SSA countries; sample size "n=41,334" firms (Table A1).
- Divergence: perception-based measures show limited statistically significant associations with performance; objective proxy measures identify "financial constraints and corruption as the most severe impediments to firm growth in the region."
- Financial constraints negatively impact all measured outcomes, with "particularly strong effects on sales growth."
- Corruption shows the "largest negative magnitude on sales growth, nearly twice the impact of financial constraints."
- Country-group heterogeneity:
  - Resource-intensive countries: particularly severe informal competition effects.
  - Non-resource-intensive countries: stronger negative relationships between infrastructure perceptions and firm performance.
  - Oil-exporting countries: distinctive patterns where "corruption and inadequate labor education... appear positively associated with firm performance"—suggesting institutional environments and resource rents can shape outcomes.
- Firm-size heterogeneity: SMEs are "consistently more vulnerable" to financial constraints and inadequate labor education compared with large firms.

### Policy Implications and Recommendations
- Priority interventions:
  - Address financial constraints to foster inclusion and channel idle bank liquidity into productive SME lending.
  - Tackle corruption via governance, transparency, and limits on administrative discretion to reduce distortions and diversion of productive resources.
- Context-specific policies:
  - Oil-exporting countries: address institutional distortions arising from resource wealth.
  - Non-resource-intensive countries: prioritize infrastructure investments for firm growth.
  - Resource-intensive countries: focus on reducing informal competition and strengthening formal market structures.
- SME-targeted measures:
  - Improve SME access to finance, reduce administrative burdens, and address skills shortages via incentives for training and education alignment with labor market needs.
- Measurement and evidence use:
  - Combine perception-based and proxy-based evidence when identifying and prioritizing constraints, due to divergence between subjective and objective measures.

### Limitations and Directions for Future Research
- Cross-sectional data limit causal inference; longitudinal firm-level studies recommended to track effects of changing constraints over time.
- Future work should explore interactions, complementarities, and substitution effects among different constraints.

*Source: Content from wpiea2025188-source-pdf (World Bank Enterprise Surveys analysis presented in the provided PDF).*

### References

### References

### Major referenced topics and thematic clusters
- Private sector development strategies and bottlenecks (e.g., African Development Bank. 2013, African Development Bank Private Sector Development Strategy 2013-2017).
- Firm performance, productivity, and investment determinants (e.g., Biggs and Shah 2006; Bigsten and Söderbom 2006; Eifert and Ramachandran 2005).
- Access to finance, banking services, and financial development (e.g., Beck, Demirguc-Kunt, and Martinez Peria 2007; Fowowe 2017; Guiso, Sapienza, and Zingales 2004; Carlin and Wright 2007).
- Training, management practices, and entrepreneurship interventions (e.g., Adhvaryu, Kala, and Nyshadham 2018; Campos et al. 2017; McKenzie 2020; McKenzie and Woodruff 2013).
- Social capital, networks, and risk-sharing (e.g., Fafchamps and Gubert 2007; Knack and Keefer 1997; Murendo and Wollni 2015).
- Corruption, taxation, and governance effects on firm growth (e.g., Fisman and Svensson 2007; Fisman et al. 2024).
- Policy and structural reform analysis to spur growth and green transition (e.g., Budina et al. 2023; IMF 2019).
- Methodologies and data sources for firm-level analysis and total factor productivity (e.g., Francis et al. 2020; Kuntchev et al. 2014; World Bank enterprise surveys referenced in several works).

### Representative cited works (selected entries preserved verbatim)
- African Development Bank. 2013, African Development Bank Private Sector Development Strategy 2013-2017, African Development Bank, Tunis, Tunisia.
- Adhvaryu, A., Kala, N., and Nyshadham, A. 2018, The Skills to Pay the Bills: Returns to On-the-Job Soft Skills Training, NBER.
- Ashraf, N., Karlan, D., and Yin, W. 2006, Tying Odysseus to the Mast: Evidence from a Commitment Savings Product in the Philippines, Quarterly Journal of Economics.
- Beck, T., Demirguc-Kunt, A., and Martinez Peria, M.S. 2007, Reaching Out: Access to and Use of Banking Services Across Countries, Journal of Financial Economics.
- Biggs, T., and Shah, M. 2006, African SMEs, Networks, and Manufacturing Performance, Journal of Banking & Finance, 30(11): 3043-3066.
- Bigsten, A., and Söderbom, M. 2006, Determinants of African Manufacturing Investment: The Microeconomic Evidence, Journal of African Economies, 15(1): 1-29.
- Budina, N., Ebeke, C., Jaumotte, F., Medici, A., Panton, A.J., Tavares, M.M., and Yao, B. 2023, Structural Reforms to Accelerate Growth, Ease Policy Trade-offs, and Support the Green Transition, IMF Staff Discussion Note SDN/2023/007, International Monetary Fund, Washington, DC.
- Campos, F., Frese, M., Goldstein, M., Iacovone, L., Johnson, H., McKenzie, D., and Mensmann, M. 2017, Teaching Personal Initiative Beats Traditional Training in Boosting Small Business in West Africa, Science.
- Cusolito, A.P., Dautovic, E., and McKenzie, D. 2021, Can Government Intervention Make Firms More Innovative?, The Review of Economics and Statistics.
- Dollar, D., and Mengistae, T. 2005, The Impact of Business Environment on Firm Performance, World Bank Economic Review, 19(3): 461-491.
- Dupas, P., and Robinson, J. 2013, Savings Constraints and Microenterprise Development: Evidence from a Field Experiment in Kenya, American Economic Journal: Applied Economics.
- European Bank for Reconstruction, Development, European Investment Bank, and The World Bank. 2016, What’s Holding Back the Private Sector in MENA? Lessons from the Enterprise Survey, The World Bank, Washington, DC.
- Fafchamps, M., and Gubert, F. 2007, The Formation of Risk-Sharing Networks, Journal of Development Economics.
- Fisman, R., and Svensson, J. 2007, Are Corruption and Taxation Really Harmful to Growth? Firm-Level Evidence, Journal of Development Economics, 83(1): 63-75.
- Fisman, R., Guriev, S., Ioramashvili, C., and Plekhanov, A. 2024, Corruption and Firm Growth: Evidence from Around the World, The Economic Journal, 134(660): 1494-1516. https://doi.org/10.1093/ej/uead100
- Francis, D.C., Karalashvili, N., Maemir, H., and Rodriguez-Meza, J. 2020, Measuring Total Factor Productivity Using the Enterprise Surveys: A Methodological Note, Technical Report 9491, World Bank, Washington, DC.
- Guiso, L., Sapienza, P., and Zingales, L. 2004, The Role of Social Capital in Financial Development, American Economic Review.
- Hallward-Driemeier, M., Dollar, D., and Mengistae, T. 2005, Assessing the Business Environment for Firm Performance, World Bank Policy Research Working Paper, No. 3792, World Bank, Washington, DC.
- IMF. 2019, IMF World Economic Outlook Chapter 3: Reigniting Growth in Low-Income and Emerging Market Economies: What Role Can Structural Reforms Play?, IMF, Washington, DC.
- Knack, S., and Keefer, P. 1997, Does Social Capital Have an Economic Payoff? A Cross-Country Investigation, Quarterly Journal of Economics.
- Kuntchev, V., Ramalho, R., Rodriguez-Meza, J.S.Y., and Yang, J. 2014, Firm Dynamics and Job Creation in Developing Countries, Policy Research Working Paper 6995, World Bank, Washington, DC.
- McKenzie, D. 2020, Small Business Training to Improve Management Practices in Developing Countries: Re-assessing the Evidence for ‘Training Doesn’t Work’, World Bank.
- McKenzie, D., and Woodruff, C. 2013, What Are We Learning from Business Training and Entrepreneurship Evaluations Around the Developing World?, World Bank Research Observer.
- Murendo, C., and Wollni, M. 2015, Social Networks, Social Learning, and Farm Technology Adoption in Developing Countries: The Case of Social Capital, Journal of Development Studies.

### Key identifiers and document details preserved
- Bottlenecks to Private Sector Development in Sub-Saharan Africa
- Working Paper No. WP/2025/188
- INTERNATIONAL MONETARY FUND 39

*References section, wpiea2025188-source-pdf - References*

---


_Source: https://www.imf.org/-/media/files/publications/wp/2025/english/wpiea2025188-source-pdf.pdf_