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Understanding the microenterprise sector to design a tailor-made microfinance policy for Cape Verde

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Abstract

Two of the central challenges faced by Cape Verde at the present are the high level of unemployment and the increasing proportion of the population living in (relative) poverty. Microenterprise development can be an effective means of addressing both problems in a developing country like Cape Verde, where microenterprises account for about 50% of employment. In this paper we provide a detailed profile of Cape Verdean microenterprises and microentrepreneurs and investigate the relationship between their characteristics and the resort to outside seed capital. We find a cluster of factors—the microentrepreneur’s age, gender, level of education and reason for being self-employed—which influence significantly the probability of being in need for external start-up capital. The policy implications of these findings for the design of a specific microfinance program for Cape Verde are discussed.

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Notes

  1. Relative poverty measures the extent to which a household’s financial resources falls below an average income threshold for the economy, which in the Cape Verde case corresponds presently to 60% of the median income; see International Monetary Fund (2005b).

  2. In this paper we classify as microenterprises all firms with five or less employees, including the owner.

  3. The FAIMOs (High Intensity Labour Fronts) were created by the government of Cape Verde almost 30 years ago with the aim of generating employment in the rural areas to ensure a minimum income to the rural families devastated by droughts. At their zenith in the 1980s, they employed about 20% of the active population in seasonal works generally related to soil and water conservation, reforestation and road construction. At the end of the 1990s, some 10% of the active population were still employed in them. See UNDP (2002) for details.

  4. Note that about half of the population living in the rural areas of Santiago are poor, which represents 42.5% of the Cape Verdean total poor population (Instituto Nacional de Estatística 2003b).

  5. According to International Monetary Fund (2005a), the economic acceleration occurred in the 1990s merely absorbed females entering the workforce without changing their rate of unemployment. In contrast, the unemployment rate among the male population was cut by more than half.

  6. Currently, the primary education system of Cape Verde consists of six compulsory years.

  7. From which 44.1% become self-employed due to their liking for their business idea, 16.2% to complement family income, 14.7% because the expected income from self-employment was greater than the income from a salaried position, 13.2% in order to gain more independence, and 11.8% to follow family tradition.

  8. Thus, Cape Verdean microentrepreneurs seem to follow the pecking-order model of financing hierarchy that claims that firms use external financing only when internal funds are insufficient. See inter alia Myers (1984) and Myers and Majluf (1984) for details on this popular capital structure theory.

  9. Since 1991, the Cape Verdean government has been steadily reducing its central role in the economy. The several economic reforms implemented gradually created a private-sector-led economy, where, according to the last Enterprise Survey (Instituto Nacional de Estatística 1999), in 1997 some 97% of the enterprises were privately owned by Cape Verdeans, 2% foreign-owned, and only 1% owned by the state.

  10. Actually, despite obtaining the same signs for the variables AGE and AGE2 (both of which were significant at the 1% level), Heino and Pagán (2001) mistakenly concluded that, whatever the microentrepreneur’s age, it influences negatively the resort to outside start-up capital.

References

  • African Development Bank (2005) Selected statistics on African countries, vol XXV. African Development Bank, Tunis

    Google Scholar 

  • Bourdet Y (2002) Cape Verde: putting new life onto reform policy, and then.... Country Economic Report 2000:8, Swedish International Development Cooperation Agency, Stockholm

  • Buss TF (1999) Microenterprise in international perspective: an overview of the issues. Int J Econ Dev 1(1):1–28

    Google Scholar 

  • Copestake J, Bhalotra S, Johnson S (2001) Assessing the impact of microcredit. J Dev Stud 37(4):81–100

    Article  Google Scholar 

  • Davidson R, MacKinnon JG (1984) Convenient specification tests for logit and probit models. J Econom 25:241–262

    Article  Google Scholar 

  • Evans D, Jovanovic B (1989) An estimated model of entrepreneurial choice under liquidity constraints. J Polit Econ 97(4):808–827

    Article  Google Scholar 

  • Evans TG, Adams AM, Mohammed R, Norris AH (1999) Demystifying nonparticipation in microcredit: a population-based analysis. World Dev 27(2):419–430

    Article  Google Scholar 

  • Glackin CE (2002) What does it take to borrow? A framework for analysis. J Microfinance 4(1):115–135

    Google Scholar 

  • Heino H, Págan JA (2001) Assessing the need for microenterprises in Mexico to borrow start-up capital. J Microfinance 3(1):131–144

    Google Scholar 

  • International Monetary Fund (2005a) Cape Verde: poverty reduction strategy paper. IMF Country Report No. 05/135, Washington, District of Columbia

  • International Monetary Fund (2005b) Cape Verde: poverty reduction strategy paper—Joint Staff Advisory Note. IMF Country Report No. 05/136, Washington, District of Columbia

  • Instituto Nacional de Estatística (1999) 1° Recenseamento empresarial 1997, 1a fase. INE, Praia

    Google Scholar 

  • Instituto Nacional de Estatística (2003a) Censos 2000. INE, Praia

    Google Scholar 

  • Instituto Nacional de Estatística (2003b) Inquérito às despesas e receitas familiares. INE, Praia

    Google Scholar 

  • McFadden DL (1974) Conditional logit analysis of qualitative choice analysis. In: Zarembka P (ed) Frontiers in econometrics. Academic, New York, pp 105–142

    Google Scholar 

  • Mosley P (2001) Microfinance and poverty in Bolivia. J Dev Stud 37(4):101–132

    Article  Google Scholar 

  • Myers SC (1984) The capital structure puzzle. J Finance 39(3):575–592

    Article  Google Scholar 

  • Myers SC, Majluf N (1984) Corporate financing and investment decisions when firms have information that investors do not have. J Financ Econ 13(2):187–221

    Article  Google Scholar 

  • Pagan A, Vella F (1989) Diagnostic tests for models based on individual data: a survey. J Appl Econ 4:S29–S59

    Google Scholar 

  • Shaw J (2004) Microenterprise occupation and poverty reduction in microfinance programs: evidence from Sri Lanka. J Dev Stud 32(7):1247–1264

    Google Scholar 

  • UNDP (2002) Cape Verde: local governance in the perspective of poverty reduction. UNDP, Maputo

    Google Scholar 

  • UNDP (2004) Human development report 2004: cultural liberty in today’s diverse world. UNDP, New York

    Google Scholar 

Download references

Acknowledgements

We are grateful to the Editor and two anonymous referees for their constructive comments. The research of the first and second authors was supported by the Banco de Cabo Verde and Fundação para a Ciência e Tecnologia, program POCTI, respectively.

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Correspondence to J. Vidigal da Silva.

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Baptista, J.A.G., Ramalho, J.J.S. & Vidigal da Silva, J. Understanding the microenterprise sector to design a tailor-made microfinance policy for Cape Verde. Port. Econ. J. 5, 225–241 (2006). https://doi.org/10.1007/s10258-006-0004-7

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