Table of Contents
Economics Research International
Volume 2014, Article ID 309352, 8 pages
Research Article

Rural Credit and Farms Efficiency: Modelling Farmers Credit Allocation Decisions, Evidences from Benin

1Unit of Economy and Rural Development, Gembloux Agro-Bio-Tech, University of Liege, Passage des Déportés, 5030 Gembloux, Belgium
2Program of Agricultural Policy Analysis (PAPA), National Institute of Agricultural Researches of Benin (INRAB), 01 BP 128 Porto-Novo, Benin
3Institute of Project and Regional Planning, Faculty of Agriculture, Nutrition, and Environmental Management, Justus-Liebig University of Giessen, Senckenbergstraße 3, 35390 Giessen, Germany
4Department of Agricultural Economics and Rural Sociology, Faculty of Agronomy, University of Parakou, BP 123 Parakou, Benin

Received 23 April 2014; Revised 4 August 2014; Accepted 4 August 2014; Published 28 August 2014

Academic Editor: Thanasis Stengos

Copyright © 2014 Comlan Hervé Sossou et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. DPP/MAE, Rapport de performance secteur agricole, Direction de la Programmation et de la Prospective, Ministère de l’Agriculture, de l’Elevage et de la Pêche, Cotonou, Bénin, 2010.
  2. K. Z. M. Kodjo, E. H. Abiassi, and M. C. Allagbé, Le financement de l'agriculture béninoise dans un contexte de libéralisation: contribution de la microfinance, FSA, Université d'Abomey-Calavi, Cotonou, Bénin, 2003.
  3. A. Singbo, Analyzing efficiency of vegetable production in Benin [Ph.D. thesis], Wageningen University, 2012.
  4. D. Lesaffre, “Quels financements pour l’Agriculture des Pays en Développement?” Revue Grain de Sel, no. 16, 2000. View at Google Scholar
  5. T. Sossa, “Microfinance et inclusion financière au Bénin,” in La Microfinance au Bénin, The Graduate Institute Publications, Geneva, Switzerland, 2011. View at Google Scholar
  6. R. Saldias and S. von Cramon-Taubadel, Access to Credit and the Determinants of Technical Inefficiency among Specialized Small Farmers in Chile, Department für Agrarøkonomie und Rurale Entwicklung, Universität Gøttingen, 2012.
  7. H. H. Komicha and B. Öhlmer, “Influence of credit constraint on technical efficiency of farm household in Southeastern Ethiopia,” in Proceedings of the International Conference on African Development Archives, Paper 125, 2007.
  8. S. Ayaz and Z. Hussain, “Impact of institutional credit on production efficiency of farming sector: a case study of District Faisalabad,” Pakistan Economic and Social Review, vol. 49, no. 2, pp. 149–162, 2011. View at Google Scholar
  9. K. K. Bolarinwa and E. O. Fakoya, “Impact of farm credit on farmers socio-economic status in Ogun State, Nigeria,” Journal of Social Science, vol. 49, no. 1, pp. 67–71, 2011. View at Google Scholar
  10. T. S. Hyuha, B. Bashaasha, E. Nkonya, and D. Kraybill, “Analysis of profit inefficiency in rice production in Eastern and Northern Uganda,” African Crop Science Journal, vol. 15, no. 4, pp. 243–253, 2007. View at Google Scholar
  11. S. C. Kumbhakar and C. A. K. Lovell, Stochastic Frontier Analysis, Cambridge University Press, Cambridge, UK, 2000. View at Publisher · View at Google Scholar · View at MathSciNet
  12. S. Kumbhakar, S. Ghosh, and J. T. McGuckin, “A generalized production frontier approach for estimating determinants of inefficiency in U.S. dairy farms,” Journal of Business & Economic Statistics, vol. 9, no. 3, pp. 279–286, 1991. View at Google Scholar
  13. D. Reifschneider and R. Stevenson, “Systematic departure from the frontier: a framework for the analysis of firm inefficiency,” International Economic Review, vol. 32, pp. 715–723, 1991. View at Google Scholar
  14. A. Dinar, G. Karagiannis, and V. Tzouvelekas, “Evaluating the impact of agricultural extension on farms' performance in Crete: a nonneutral stochastic frontier approach,” Agricultural Economics, vol. 36, no. 2, pp. 135–146, 2007. View at Publisher · View at Google Scholar · View at Scopus
  15. C. J. Huang and J. Liu, “Estimation of a non-neutral stochastic frontier production function,” The Journal of Productivity Analysis, vol. 5, no. 2, pp. 171–180, 1994. View at Publisher · View at Google Scholar · View at Scopus
  16. G. E. Battese and T. J. Coelli, “Frontier production functions, technical efficiency and panel data: with application to paddy farmers in India,” Journal of Productivity Analysis, vol. 3, no. 1-2, pp. 153–169, 1992. View at Publisher · View at Google Scholar · View at Scopus
  17. Z. Griliches, “Estimation of the aggregate production functions from cross sectional data,” Journal of Farm Economics, vol. 45, pp. 419–428, 1963. View at Google Scholar
  18. A. Zellner, J. Kmenta, and J. Dreze, “Specification and estimation of Cobb-Douglas production function models,” Econometrica, vol. 34, pp. 784–795, 1966. View at Google Scholar
  19. S. B. Caudill, J. M. Ford, and D. M. Gropper, “Frontier estimation and firm-specific inefficieny measures in the presence of heteroskedasticity,” Journal of Business and Economic Statistics, vol. 13, no. 1, pp. 105–111, 1995. View at Google Scholar
  20. B. Brümmer and J. Loy, “The technical efficiency impact of farm credit programmes: a case study of Northern Germany,” Journal of Agricultural Economics, vol. 51, no. 3, pp. 405–418, 2000. View at Google Scholar · View at Scopus
  21. D. O. Nyagaka, G. A. Obare, and W. Nguyo, “Economic efficiency of smallholder rish potato producers in Kenya: A case of Nyandarua North District,” in Proceedings of the International Association of Agricultural Economists’ Conference, Beijing, China, August 2009.
  22. G. A. Obare, D. O. Nyagaka, W. Nguyo, and S. M. Mwakubo, “Are Kenyan smallholders allocatively efficient? Evidence from Irish potato producers in Nyandarua North district,” Journal of Development and Agricultural Economics, vol. 2, no. 3, pp. 78–85, 2010. View at Google Scholar
  23. D. N. Gujarati, Basic Econometrics, McGraw-Hill, New Delhi, India, 4th edition, 2004.
  24. K. Bakhsh, L. Hassan, and A. Maqbool, “Factors affecting cotton yield: case study of Sargodha (Pakistan),” Journal of Agriculture & Social Sciences, vol. 1, no. 4, pp. 332–334, 2005. View at Google Scholar