Analysis of Determinants of Access to Credit for Cotton Producers in Mali

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Touré Lassana
Diop Ibrahima Thione


This research analyzed the determinants of cotton producers’ access to credit for in the areas of the Malian Textile Development Company (CMDT). Primary data collection was carried out using questionnaires submitted to 400 producers through multistage stratified sampling procedure (zones and types of farms constituting the strata). The data were analyzed using descriptive statistics and logit model. The values measuring the overall significance of the model are of the order of: Wald's test statistic chi2 = 68.98, Area under the ROC curve = 0.68 and Model good prediction rate = 71.03%. The binomial logit model showed that the significant variables (at the 15% level) affecting cotton producers’ access to credit are age, marital status, level of education, income, interest rate, existence of material collateral and type of farm. It is therefore recommended that the financial institutions, CMDT and the Producers' Cooperatives be enhanced working together for an interest rate set at levels that take into account the sustainability of the credit institutions and managing communication around a fixed interest rate in order to avoid confusion for employees and cotton producers; making less restrictive the conditions for cotton producers to obtain credit for, so that those who do not have access can benefit from credit; revitalizing producers’ training level to enable better management of farm credit by the beneficiaries; setting up an insurance mechanism for cotton producers to cover unpaid debts due to natural climatic hazards and encouraging the population to grow cotton since the increase in active members on the farm has a positive influence on the chances of having access to credit.

Farm credit, cotton producers, financial inclusion, logit model

Article Details

How to Cite
Lassana, T., & Thione, D. I. (2020). Analysis of Determinants of Access to Credit for Cotton Producers in Mali. South Asian Journal of Social Studies and Economics, 6(3), 44-59.
Original Research Article


Ololade RA, Olagunju FI. Determinants of access to credit among rural farmers in Oyo State, Nigeria. Global Journal of Science Frontier Research Agriculture and Veterinary Sciences. 2013;(2-Version 1.0): 7.

Adegeye AJ, Dittoh JS. Essential of Agricultural Economics. Ibadan: Impact Publishers Nigeria, Ltd. 1985;183.

Imoudu PB, Onaksaponome E. Bank Loan Requirement and Availability for Nigerian Small Farmers - A comparative Analysis of Experience. FINAFRICA, African Review of Money Finance and Banking. 1992;61.

Schumpeter J. Theory of economic evolution: Research on profit, credit, interest and the business cycle, chapters I to III, French. 1935;1911:142.

Olagunju FI, Ajiboye A. Agricultural lending decision: A tobit regression analysis. African Journal of Food Agricultural Nutrition and Development. 2010;10(5).

Dorsay D, Kouyaté S. Agricultural credit risk in the Office of Niger and CMDT areas. USAID/Mali. 2004;127.

Sall A, Marsan S. The agricultural financing crisis in the cotton zone of Mali. Banque Internationale pour le Mali. 2009;6.

Central Bank of West African States. Report on the situation of financial inclusion in the WAEMU during the year 2018;2019. French.

Désiré N. Analysis of the effect of credits granted by microfinance institutions to the socio-economic development of its members. Adventist Lay University of Kigali; 2008.

Dutaillis GP. Bank credit risk. Scientific edition Riber, Paris; 1967.

Pruchaud J. Evolution of banking techniques. Scientific editions Riber, Paris. 1960;50.

Bernard V, Colli JC. Bank loans to companies. Bank review. 1967;43. French.

Sossou CH. Financing Agriculture in Benin: Farm adaptation management strategy. PhD thesis. University of Liège – Gembloux Agro-Bio Tech. 2015;199.

Foltz JD. Credit market access and profitability in Tunisian Agriculture. Journal of the International Association of Agricultural Economists. 2004;30(3):229-240.

Gobezie G. Regulating Microfinance in Ethiopia: Making It More Effective. 2005;12.

Bell C, Srintvasan T, Udry C. Rationing, spillover and interlinking in credit markets: The case of rural Punjab. Oxford Economic Papers. 1997;49(4):557–585.

Carter MR. Equilibrium credit rationing of small farm agriculture. Journal of Development Economics. 1988;28(1):83-103.

Wampfler B, Lapenu C, Benoit-Cattin M. To what extent is microfinance able to finance family agriculture in the context of liberalization in West Africa? A study of outreach, impact and public policies. In: 25th International conference of agricultural economists “Reshaping agriculture’s contribution to society”, Durban, South Africa. 2003;21.

Wampfler B. Why is it so difficult to finance family farming? Grain de sel nº 72. 2016;3.

Schmidt RH, Kropp E. Rural Finance: guiding principles. Germany: TZ-Verleger.

Mayoukou C, Kertous M. Access to individual credit by clients of Congo's microfinance institutions: an analysis of the determinants of self-exclusion and obtaining the loan. “Developing worlds”. 2015;169:121-138.

Hossain M. Credit for alleviation of rural poverty: The Grameen Bank in Bangladesh. IFPRI Research Report No. 65. Washington D.C.: IFPRI. 1988;96.

Sossou CH, Dogot T, Adjovi G, Lebailly P, Coulibaly O. Analysis of the determinants of access to credit for agricultural holdings in Benin. National Institute of Agricultural Research of Benin (INRAB). 2017;15.

Diamouténé AK. Access to agricultural credit and agricultural performance in the Niger office area: the case of rice cultivation. Annals of Marien N'GOUABI University. 2018;18(2):114125.

Duy VQ. Access to credit and rice production efficiency of rural households in the mekong delta. Sociology and Anthropology. 2015;3(9):425-433.

Fall AA. Impact of credit on the income of rice farmers in the Senegal river valley. Doctoral thesis: Ecole Nationale Supérieure Agronomique de Montpellier (France). 2006;357.

Diallo B. A “credit scoring” model for an African microfinance institution: the case of Nyesigiso in Mali. CCSd / CNRS. 2006;49.

Gnoudanfoly AS. Analysis of the determinants of access to microfinance: the case of savings and credit cooperatives in Côte d'Ivoire Laboratory of economics and management of Nantes (LENNA), University of Nantes, France. 2014;25. French.

Djouara H, Belieres JF, Kebe D. Family farms in Southern Mali and the decrease in cottonseed prices. Cahiers Agricultures. 2006;15(1):64-71.

Koné B. Incentives for Cotton Production and Prospects for the Privatization of CMDT Subsidiaries in Mali. PhD Thesis: University of Liège - Gembloux Agro-Bio Tech. 2016;208.

Dia ML. The determinants of urban poverty: the case of the city of Dakar. Interuniversity Postgraduate Program (PTCI). DEA thesis in Economics. 1998;92.

Bourbonnais R. Econometrics. 10th edition. Paris: Dunod; 2018.

Doucouré F. Econometric Methods + programs: Cheikh Anta Diop University of Dakar. 2008;524.