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The Informal Sector in Francophone Africa: Firm size, Productivity and Institution
By Nancy C. Benjamin (The World Bank) And Ahmadou Aly MBAYE (University Cheikh Anta DIOP of Dakar)
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Introduction Significance of the informal sector in Africa and very little consideration given to big informal actors Sample designs shaped by a narrow and misleading definition of informality as small scale individual or household, ignoring the “large informal” sector. In this study, we use firm-level data collected on 900 formal and informal businesses in the capital cities of Benin, Burkina Faso and Senegal, complemented by more qualitative information gathered from semi- structured interviews of major stakeholders in the three cities as well as secondary data compiled from the national income accounts. A second phase of more in-depth interviews with selected major stakeholders focusing on the large informal sector was carried out in 2009. The predominance of the informal sector in Africa, and the existence of large informal firms in particular, highlight some major issues inhibiting African development. Our study also found that informal businesses are less productive than formal ones and that the productivity gap is much smaller for large informal firms than for small informal firms, again suggesting that large informal firms have the requisites to formalize but choose not to do so.
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Informality as a Continuum
The size of activity criterion The registration criteria The access to bank credit criterion The mobility of the workplace criteria The existence of honest financial statements criterion
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The informal sector in West African economies: scope and major characteristics
Growth rates of value added in the formal and informal sectors: Benin
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The informal sector in West African economies: scope and major characteristics
Growth rates of value added in the formal and informal sectors: Burkina Faso
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The informal sector in West African economies: scope and major characteristics
Growth rates of value added in the formal and informal sectors: Senegal
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The informal sector in West African economies: scope and major characteristics
Share of Value Added contributed by informal businesses in the secondary sector: Senegal
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The informal sector in West African economies: scope and major characteristics
Share of Value Added contributed by informal businesses in the secondary sector: Burkina Faso
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The informal sector in West African economies: scope and major characteristics
Share of Value Added contributed by informal businesses in the secondary sector: Benin
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The informal sector in West African economies: scope and major characteristics
Sectoral Distribution of Informal Employment in Benin, Senegal and Burkina Faso (%) Activity sector Agr. Mining Mfg. Constr. Transp. Commer. Other.Serv Educ/ health Govt Other Benin 52.7 0.3 6.7 2.8 4.6 17.4 12.2 0.5 0.1 2.6 Senegal 48.1 0.6 6.0 5.3 3.4 23.7 7.4 0.8 0.0 4.5 Burkina 81.1 1.8 1.1 9.4 1.2 1.3
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Monthly salary per person
The informal sector in West African economies: scope and major characteristics Monthly Salary per Person in the Formal and Informal Sectors in the Three Cities Monthly salary per person Less than 35 000 35 000 to Over Total Dakar Formal 2% 7% 91% 100% Large Informal 6% 16% 77% Small informal 41% 18% 21% 25% 54% Cotonou 24% 47% 29% 44% 48% 66% 9% 51% 35% 14% Ouaga 40% 33% 27% 28% 50% 22% 10% 53% 31%
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Figure 1: informality as a continuum : the six different levels of formality
Figure 2 : Share of firms failing to meet various criteria of formality
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Large informal businesses in West Africa
Their major characteristics An accounting system based on fake Very odd organizational structure High mortality rate of firms Short longetivity Their dynamics of transition Where do they come from? Do they tend to formalize?
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Survival rates of firms in Ouagadougou
Surviving Disappeared Formal 76% 24% Informal 54% 46% Total 64% 36%
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Evidences of their existence
Evidences from our survey data ‘’It should be clarified that the transition program for informal enterprises is not meant to apply to those large-scale enterprises, particularly in the importing sector, that evade taxes. These enterprises have no need for any special benefits. They exist only with the tacit agreement of powerful supporters in the government, and their existence should be considered a costly form of corruption rather than a special case for a developing economy. To remedy this problem, the government needs to launch a program to enforce the tax and the other laws against these enterprises.” Scott Jacobs
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Proportion of firms for which imports are larger or lesser than sales, by industry
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Some very famous cases Khadim BOUSSO Cheikh Tall Dioum and NBA Moustapha Tall Bocar Samba Dieye The NANA Benz in Togo The big wholesalers and retailers in the Dantokpa Market (Benin)
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Characteristics of the informal sector
Some Descriptive Statistics for the Three Levels of Informality in the Three Countries Share in total country sample Average sales (millions CFA francs) Average Number of Employees (including temporary workers) FORMAL Dakar 24% 833 9.6 Ouagadougou 13% 615 21.2 Cotonou 23% 725 22.1 LARGE INFORMAL 16% 117 4.5 11% 155 6.1 15% 319 22.6 SMALL INFORMAL 60% 13 4.2 76% 11 5.4 62% 5.8
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Characteristics of the informal sector
Sources of financing for firms in the three cities Method of Financing Internal funding or undistributed benefits Bank credit Loan from a family member of friend Savings, gift, inheritance Dakar Formal 64% 20% 4% 12% Large Informal 62% 16% 8% 14% Small informal 2% 26% Total 13% Cotonou 76% 15% 7% 68% 0% 70% Ouaga 67% 19% 55% 23% 9% 56% 59% 10%
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Characteristics of the informal sector
Proportion of firms with access to public utility services
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Characteristics of the informal sector
Annual durations of electricity outage in the three cities One week or more Between one week and one month More than a month Dakar Formal 59% 2% 39% Large informal 60% 5% 35% Small informal 64% 7% 29% TOTAL 62% 33% Ouaga 97% 3% 0% 96% 4% 89% 6% 91% Cotonou 8% 32% 45% 52% 34% 22% 44% 42% 16%
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Characteristics of the informal sector
Self-Employment in the Three Cities Owner of the enterprise Another individual Corporation Myself Dakar Formal 55% 25% 20% Large informal 54% 19% 27% Small informal 65% 6% 28% TOTAL 61% 13% 26% Cotonou 44% 30% 43% 18% 39% 5% 51%
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The Informal Sector and the Institutional Environment
Characteristics of the informal sector The Informal Sector and the Institutional Environment Connection between big informal actors and the Mouride brotherhood High perception of poor use of tax revenue Minimizing risk of being exposed to fiscal harassment High perception of poor enforcement capabilities High perception of the level of costs associated with a reliable accounting system High perception of the level of taxation Difficulties linked to tax collection
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Do you think the government is using tax revenue rightly?
Level of confidence in the good use of public resources Do you think the government is using tax revenue rightly?
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Do you think tax payment expose you to fiscal harassment?
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Rules governing social protection
Level of enforcement Rules governing social protection Honest tax filing
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Assessment of the quality of the tax collection service
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Three factors affect firm’s choice of formal or informal status
State failures and the informal sector Three factors affect firm’s choice of formal or informal status Benefits of formalization, including the quality of public services and differential access to these services for formal and informal firms Cost of formalization in the form of higher taxes and regulatory compliance costs Extent to which informal firms are sanctioned for failing to comply with tax and regulatory obligations
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Productivity Differences Between Formal and Informal Firms
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PRODUCTIVITE DES SECTEURS INFORMEL ET FORMEL
Dakar Ouagadougou
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PRODUCTIVITE DES SECTEURS INFORMEL ET FORMEL
Cotonou
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Regression of the log of labor productivity (lprod) on formal/informal status and other explanatory variables Lprod Coef. Std.Err. t P>|t| [95% Conf.Interval] Capital labor ratio 0,096 0,027 3,550 0,000 0,043 0,149 Services 0,463 0,218 2,130 0,034 0,035 0,891 Trade 0,836 0,220 3,790 0,402 1,270 Buildings 0,709 0,425 1,670 0,097 -0,128 1,546 Legal structure 0,606 0,340 1,780 0,076 -0,064 1,275 Small informal -1,401 0,239 -5,860 -1,872 -0,930 Big informal 0,658 0,295 2,230 0,077 1,239 _cons 13,054 0,521 25,050 12,028 14,080 Number of obs =286 ; F( 7, 278) = 22,05 ; Prob > F = 0 ; R-squared = 0,36
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Regression of the log of labor productivity (lprod) on formal/informal status with interaction of explanatory variables Lprod Coef. Std.Err T P>|t| [95% Conf.Interval] Capital labor ratio 0,100 0,027 3,720 0,000 0,047 0,153 Small informal*financial services 2,362 1,401 1,690 0,093 -0,395 5,119 Buildings 0,706 0,423 1,670 0,096 -0,126 1,538 Big informal*commerce -1,298 0,594 -2,190 0,030 -2,468 -0,129 Small informal -1,090 0,278 -3,920 -1,638 -0,543 Small informal*commerce -1,056 0,471 -2,240 0,026 -1,984 Big informal 1,086 0,364 2,990 0,003 0,371 1,802 Services 0,499 0,216 2,310 0,022 0,073 0,925 Legal structure 0,761 0,342 2,220 0,087 1,434 Commerce 1,788 0,440 4,070 0,922 2,654 _cons 12,694 0,530 23,930 11,650 13,738 Number of obs = 286 ; F( 10, 275) = 16,67 ; Prob > F = 0; R-squared = 0,38
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Government policies, smuggling and the informal sector
Comparison of Trade Taxes: Senegal and the Gambia, 2007 (Percent) Gambia Senegal Difference Flour 22.5 56.6 34.1 Sugar 103.8 81.3 Rice 16.8 22.7 5.9 Tomato paste 28.3 Cigarettes 58.0 97.7 39.7 Soft drinks 39.8 48.2 8.4 Milk (canned liquid) 44.8 22.3 Condensed milk 27.1 4.6 Cooking Oil Mayonnaise 5.0 Toilet soap Candles Matches Tea 37.3 9.0 Canned sardines Shoes Fabric
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Government policies, smuggling and the informal sector
Selected Import Barriers in Nigeria, (Tariff Rates in Percent or Bans) 1995 1997 1999 2001 2003 2005 2007 Edible oil Banned 55 40 Poultry meat 75 Beer 100 Wine 20 Milk Products 50 Tomato preserves 45 Used Clothes Tires Wheat dough Used Cars* Sugar 10 Cloth and Apparel 65 Tobacco and cigarettes 90 80 Rice 110
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Government policies, smuggling and the informal sector
Imports by Selected Re-Export Items (Billion CFA francs) 2004 2005 2006 2007 Used Cars 150.5 178.7 264.2 327.7 Rice 50.4 90.9 104.4 151.7 Textiles 44.7 60.1 57.0 82.9 Used Clothes 27.8 32.7 41.9 48.9 Palm oil 9.1 9.0 27.1 44.4 Frozen Poultry 29.7 26.0 23.6 38.5 Batteries 20.4 23.5 29.6 34.5 Furniture 4.7 6.6 14.5 28.6 Sugar 8.0 9.8 13.2 13.4 Clothing 4.1 10.7 2.3 8.8 Cigarettes 1.9 3.8 5.7 Prepared Tomatoes 0.7 2.4 4.6 Used Tires 3.5 4.2 4.5 Cardboard 4.3 3.7 3.1 Sub-Total 359.7 460.9 593.9 800.2 Share of GDP 22.4% 23.6% 26.6% 32.4%
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