Volume 6, Issue 4, July 2018, Page: 71-77
Determinants of Technical Efficiency of Small Scale Vegetables Production Under Different Irrigation Systems in Koulikoro and Mopti Regions, Mali
Kane Abdoulah Mamary, Department of Agricultural Economics & Agribusiness Management, Egerton University, Egerton, Kenya; Institut d’Economie Rurale (IER), Sotuba Center, Bamako, Mali
Job Kibiwot Lagat, Department of Agricultural Economics & Agribusiness Management, Egerton University, Egerton, Kenya
Jackson Kipngetich Langat, Department of Agricultural Economics & Agribusiness Management, Egerton University, Egerton, Kenya
Bino Teme, Michigan States University PROMISAM Project, Bamako, Mali
Received: Apr. 22, 2018;       Accepted: Jun. 3, 2018;       Published: Jul. 25, 2018
DOI: 10.11648/j.ajaf.20180604.12      View  797      Downloads  70
Abstract
Majority of the households in Mali depend on rain-fed agriculture for their food production. Overreliance on rain-fed agriculture limit limits the production output due to unreliable rainfall in the country. To mitigate this, the government has invested in rehabilitation of irrigation schemes. Through appropriate irrigation technologies and improved agronomic management practices, agricultural productivity will be increased. The objective of this study was to determine the technical efficiency of small scale vegetables production under different irrigation systems. This study was guided by the production theory. Primary data was collected from 273 farmers selected proportionately from four wards (Fanafiecoura and Tieman, in Koulikoro region and Mopti and Dialango, in Mopti region) using face-to-face interviews. Secondary data from literature reviews was also used. Cobb-Douglas stochastic frontier production regression model was used in the analysis. Stata software was used for analysis. This study found that with respect to the production of potatoes, shallots and tomatoes, technical efficiency scores were highest in drip irrigation, followed by sprinkling irrigation and lowest in Californian irrigation system. This study recommends that drip, sprinkling Californian irrigation systems should be promoted since they presents a good opportunity for superior technical efficiency in vegetable production.
Keywords
Stochastic Frontier, Technical Efficiency, Vegetable Production, Irrigation Systems, Mali
To cite this article
Kane Abdoulah Mamary, Job Kibiwot Lagat, Jackson Kipngetich Langat, Bino Teme, Determinants of Technical Efficiency of Small Scale Vegetables Production Under Different Irrigation Systems in Koulikoro and Mopti Regions, Mali, American Journal of Agriculture and Forestry. Vol. 6, No. 4, 2018, pp. 71-77. doi: 10.11648/j.ajaf.20180604.12
Copyright
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Reference
[1]
Todaro, M. P., and Smith. S. C. (2012). Economic Development policy 11th Edition. New York University. Developing Countries Economic Policy. Boston: Adison- wesley Publishers USA, 2012.
[2]
PCDA. (2009). Ministry of Agriculture (MOA) 2013. Budget and Performance Report, Mbabane, Swiziland: MOA, 2013.
[3]
USAID (2018). Agriculture and Food Security. Retrieved from https://www.usaid.gov/mali/ agriculture-and-food-security.
[4]
National Report Ministry of Agricultural. (2013). Ministry of Agriculture (MOA) 2013. Budget and Performance Report, Mbabane, Swiziland: MOA.
[5]
World Veg. (2013). AVRDC Highlighting horticulture in Mali, USAID-Mali project: “Improving Vegetable Production and Consumption in Mali.” Available at: https://avrdc.org/highlighting-horticulture-mali/.
[6]
Hussain, I. (2004). Pro-Poor Intervention Strategies in Irrigated Agriculture in Asia: Poverty in Irrigated Agriculture. Realities Issues Options and Guidelines. India, pakistan, Vietnam and Banglasdesh. International water management institute.
[7]
Nokuphiwa L. Sithole, Job K. Lagat, and Micah B. Masuku. (2014) "Factors influencing Farmers Participation in Smallholder Irrigation Schemes: the case of Ntfonjeni Rural Development Area. Journal of Economics and Sustainable Development, 5 (22):159-167.
[8]
FAO (2010). How design, management and policy affect the performance of irrigation. Rome: FAO, n.d.
[9]
UNDESA (2017). World Population Prospects: The 2017 Revision". ESA. UN. org (custom data acquired via website). United Nations Department of Economic and Social Affairs, Population Division.
[10]
DNSI, Report RGA. (2005). DNSI (Direction National de la Statistiques et de l’Informatique)., Schéma directeur statistique. Draft version, Bamako: DNSI, 2005.
[11]
Kelly, V. (2008). Agricultural Statistics in Mali: Institutional Organization and Performance. Background paper for the World Bank (WB) on agricultural. Washington D. C: World Bank.
[12]
Coelli, G. E., and Bettes T. J. (1995). A Model for Technical Inefficiency Effects In a stochastic frontier Production Function For Panel Data. Empirirical Economics, 1995: 325-332.
[13]
Coeli, J. T. (1995). Recent development in frontier modelling and efficiency measurement department of Econometrics university of New England, Armidale NSW. Australian Journal of Agriculture Economics, 39 (3), 219-245.
[14]
Battese T. J, and Coelli, G. E. (1993). Frontier Production Function incorporating a model for technical ineficiency effects: Working papers Inn econometrics and applied statistics No 69. Armidale: University of New England, 1993.
[15]
World Bank. (2009). Gender dimensions of the extractive industries. Washington, DC: The World Bank.
[16]
Guslits, B., & Phartiyal, J. (2010). Women & water in the age of globalization: Protecting our most vital resource. Women & Environments International Magazine (82/83), 12-14.
[17]
Nyanjom, O. (2011). Devolution in Kenyans’ new constitution. Constitution Working Paper Series no. 4. Nairobi: Society for International Development.
[18]
Perry, J., & Johnson, J. (1999). What makes a small farm successful? Economic Research Service-USDA. Agricultural Outlook, November.
[19]
World Bank (2009). Gender dimensions of the extractive industries. Washington, DC: The World Bank.
[20]
IER. (2017). Institut d’Economie Rurale (Rural Economic Institute): Feed the Future Innovation Lab for Food Security Policy. Semi Annual Report: October 2016 – March 2017 (Award AID-OAA-L-13-00001).
[21]
Kay, M (2001). Smallholder irrigation technology: prospects for sub-Saharan Africa, International Programme for Technology and Research in Irrigation and Drainage (IPTRID), Rome: Food and Agriculture Organization of the United Nations.
[22]
Battese, G. E. & Coelli, T. J. (1992). Frontier production functions, technical efficiency and panel data: with application to paddy farmers in India. Journal of Productivity Analysis 3, 153–169.
Browse journals by subject