PL EN


Preferences help
enabled [disable] Abstract
Number of results
2017 | 64 | 34-43
Article title

Effects of human capital on agricultural productivity in Senegal

Content
Title variants
Languages of publication
EN
Abstracts
EN
To feed the African’s population from a strong agriculture able to fight food insecurity requires to increase the level of human capital operators (education, training and experience). This study aims to analyze the effects of human capital on the efficiency and productivity of farmers. Using stochastic frontier model and simple Tobit, we examined the impact of human capital on agricultural productivity of 183 operators spread over three communes (Diama and Ronkh Gandon) of Senegal River valley. The results from the estimates show that human capital affects positively and significantly the productivity. These results imply that improving the level of education and experience is likely to increase yields and to make them more efficient
Publisher

Year
Volume
64
Pages
34-43
Physical description
Contributors
  • Department of Economics and Management, Cheikh anta Diop University, Dakar, Senegal, ndourse@outlook.com
References
  • [1] Aigner, D., J., C. A. K. Lovell, et P., Schmidt. (1977). Formulation and estimation of stochastic frontier production function models. Journal of Econometrics 6: 21-37.
  • [2] Araujo, C., Bonjean, C.A. Bonjean et J. Arcand (1999). Capital humain, productivité agricole et travail féminin : variables latentes et séparabilité dans les modèles de ménage. Instituto de Saude Coletiva (ISC), Universidade Federal da Bahia (UFBA).
  • [3] Danquah, M., and B., Ouattara (2014). Productivity growth, human capital and distance to frontier in sub-saharan africa. Journal of Economic Development, 39, 4.
  • [4] De la Fuente (2013). Human capital and productivity. Barcelona Economics Working Paper Series 530.
  • [5] Djomo, J., M., N., (2012). The Effects of Human Capital on Agricultural Productivity and Farmer’s income in Cameroon. International Business Research. Vol. 5, No. 4
  • [6] Gurgand, M., (1993). Les effets de l’Education sur la production agricole. Application à la Côte d’Ivoire », Revue d’Economie du Développement, 4.
  • [7] Green, W. H. (2008). Econometric Analysis. Canada: Pearson Prentice Hall.
  • [8] Klasen, S. and M. Reimers (2011). Revisiting the Role of Education for Agricultural Productivity. The American Journal of Agricultural Economics (AJAE)
  • [9] Kumbhakar, S. C., and C. A. K. Lovell. (2000). Stochastic Frontier Analysis. Cambridge: Cambridge University Press.
  • [10] Lockheed, M., D., Jamison, et L., Lau, (1980). Farmer Education and Farm Efficiency: A Survey, in Economic Development and Cultural Change 29, 1: 37-76, reprinted as World Bank Report Series No. 166, World Bank: Washington.
  • [11] Meeusen, W., and J. van den Broeck. (1977). Efficiency estimation from Cobb–Douglas production functions with composed error. International Economic Review 18: 435-444.
  • [12] Mohapatra and Sen (2013) Technical, allocative in sugarcane production: a non- parametric approch. International Journal of Advanced Research. Volume 1, Issue 6, 366-374
  • [13] Philips, J, M. (1994). Farmer Education and Farm Efficiency: A Meta-Analysis. In Economic Development and Cultural Change. Volume 43, Number 1.University of Chicago Press.
  • [14] Schultz, T. W. (1961). Investment in human capital. American Economic Review, 51(1), 1-17.
  • [15] Welch, F. (1970). Education in production. Journal of Political Economy 78, 35-59.
Document Type
article
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.psjd-175eab91-a8bd-466b-b346-fea00234880a
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.