Economic efficiency of water use in the small scale irrigation systems used in vegetables production in Koulikoro and Mopti regions, Mali

Main Article Content

Abdoulah Mamary Kane Job Kibiwot Lagat Jackson Kipngetich Langat Bino Teme Samuel Ngunjiri Wamuyu

Abstract

Malian households depend, in majority, on rain-fed agriculture for their food production. Overreliance on rain-fed agriculture limits the production output due to unreliable rainfall in the country. To mitigate this, the government has invested in rehabilitation of irrigation schemes to reduce dependence on rainfall. Through appropriate irrigation technologies and improved agronomic management practices agricultural productivity will be increased. This study determines the contribution of different irrigation systems to produce vegetables on household welfare in rural communities. The objective of the study was to contribute to improved livelihood of smallholder farmers in rural areas by use of irrigation systems in vegetables production. Three localities corresponding to two specific climatic regions favorable to vegetable crops production in Mali (Baguineda, Kati, Koulikoro region and Mopti region) was the study area. 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. Descriptive statistics and DEA functions were used for analysis. The Statistical Package for Social Scientists (SPSS), Stata and Excel programs were used for analysis. This study found that the irrigation systems as used in production of the three main crops to be characterized by inefficiency. Drip and sprinkling irrigation systems was relatively more economically efficient as compared with Californian system. The use of drip, sprinkling and Californian irrigation systems lead to greater benefits as compared to costs. The excess benefit (compared to costs) is realized more with drip followed by sprinkling and the third being California irrigation system. This study recommends more training and capacity building to the farmers in the study area with an aim of reducing their levels of inefficiencies in horticultural crop production. Farmers should be supported to adopt the use of drip, sprinkling and Californian irrigation systems which lead to greater benefits as compared to costs. Drip, sprinkling and Californian irrigation systems present a good opportunity for superior technical efficiency in vegetable production. These irrigation technologies should be promoted.

Downloads

Download data is not yet available.

Article Details

How to Cite
Kane, A. M., Lagat, J. K., Langat, J. K., Teme, B., & Wamuyu, S. N. (2018). Economic efficiency of water use in the small scale irrigation systems used in vegetables production in Koulikoro and Mopti regions, Mali. Advances in Agricultural Science, 6(4), 72-84. Retrieved from http://aaasjournal.org/submission/index.php/aaas/article/view/86
Section
Articles

References

Alonso, P. and Lewis, G. (2001). Public Service Motivation & Job Performance. Evidence from the federal sector. American Review of Public Administration, 34 (1), 363-380.
Banker, R.D. Charnes, A. and Cooper, W.W.(1984). Some model for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30 (9) 1078-1092.
Battese T.J, and Coelli, G.E. (1993). Frontier production functions when incorporating a model for technical ineficiencies: Working papers Inn econometrics and applied statistics No 69. Armidale: University of New England, 1993.
Battese, G.E. and Coelli, T.J. (1992). Frontier production functions and technical efficiency on panel data with application to paddy farmers in India. Journal of Productivity Analysis 3(1), 153–169
Bettes, G. E. and Coelli, T. J. (1995). A model for technical inefficiency effects in a stochastic frontier production for panel data. Empirical Economics, 20 (1), 325- 332.
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.
Coelli, T. J., Prasada Rao, D., and O'Donnel, C. J. (2005). Productivity and Efficiency Measurement Concepts. In T. J. Coelli, D. Prasada Rao, & C. J. O'Donnel, An Introduction to Efficiency and Productivity Analysis (p. 349). Springer.
Cooper, W.W. Seiford, L.M. Zhu, J. Joe Zhu (eds.) (2011). Handbook on Data Envelopment Analysis. Series: International Series in Operations Research & Management Science, 2011: Vol. 164.
—. Handbook on Data Envelopment Analysis. Series: International Series in Operations Research & Management Science, Vol. 164. 2011.
Drummond, M., Sculpher, M., Torrance, G., O'Brien, B. and Stoddart, G. (2005). Methods for the Economic Evaluation of Health Care Programmes (3 ed.). New York: Oxford University Press. ISBN 9780198529453.
FAO (2009). Key Water Resources Statistics in Aquastat: FAO’s Global Information System on Water and Agriculture. Rome: FAO.
FAO (2009). Report of the Independent External Evaluation of the Food and Agriculture Organization of the United Nations (FAO). Evaluation, Rome: FAO.
FAO (2010). How design, management and policy affect the performance of irrigation. Rome: FAO, n.d.
FAO (2011). Global action on climate changes in agriculture: Linkages to food security, market and trade policies in developing countries. Rome: FAO.
FAO. (2010). Coping with water scarcity: An action framework for agriculture and food security. Rome: FAO.
FAO. (2012). FAO water Report on Coping with water scarcity: An action framework for agriculture and food security. An action framework for agriculture and food Security, Rome: FAO.
FAO. (2012). How to Design, Management and Policy affects the performance of irrigation. Rome: FAO.
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.
IPCC(2010). Climate Change 2010: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment. New York: Cambridge University Press, 2010.
Kamara, A., Van Koppen, B. and Magingxa, L. (2001). Economic viability of smallscale irrigation system in context of state withdrawal: the Arabie Scheme in the Northern Province of South Africa. International Water Management Institute (IWMI), Pretoria, South Africa, 2nd WARSFA/WaterNet Symposium: Integrated Water Resources Management: Theory, Practice, Cases; Cape Town, 30 – 31 October 2001)
Keita, D.M., Bedingar, T., Lubunga, R., Mousseau, L.P.and Matila, M.P.S. (2009). African Development Fund, Republic of Ghana; Northern Rural Growth Programme, Osan 2. Appraisal Report, Osan 2.
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.
Kothari, (2004), Research methodology kothari, Sample-size-formula-by-kothari. The New Age International (P) Ltd. Second revised edition.
MOA(2013). Budget and Performance Report, Mbabane, Swiziland: MOA.
Moffit, F., Macdonald, F. and Robert, A. (2010). The Uses of Tobit Analysi. The Review of Economics and Statistics.2(1), 318 - 321.
Mosca, M. and Pastore, F. (2008), Wage effects of recruitment methods: The case of the italian social service sector. IZA Working Paper 3422.
Nyanjom, O. (2011). Devolution in Kenyans’ new constitution. Constitution Working Paper Series no. 4. Nairobi: Society for International Development.
Odeck, J. (2009). Statistical precision of DEA and Malmquist indices: A bootstrap application to Norwegian grain producers. Omega, 37(5), 1007-1017.
Plusquellec, H. and Wickham, T. (2009). Irrigation Design and Management: Experience in Thailand and its General Applicability. World Bank Technical Paper No 40. Washington: World bank.
Plusquellec, H., Burt, C. and Wolter, H. (2009). Water Control in Irrigation Systems: concepts, issues and applications. World Bank Technical Paper No 242. Washington: World Bank.
Plusquellec, H., McPhail, K. and Polti, C. (1990). Review of irrigation system performance with respect to initial objectives. Irrigation and Drainage Systems Journal, 1990: Vol. 4.
Reuben M.J. Kadigi, G.T., Alfred, B. and Genet, Z. (2012). Irrigation and water use efficiency in Sub-Saharan Africa. Retrieved from http://www.gdn .int/admin/uploads/editor/files/SSA_4_ResearchPaper_Irrigation_Use.pdfWorld Bank (2000). An audio-visual training programme on how to improve the operation of canal irrigation systems. New York: World Bank, 2000.
Reuben, M J., Kadigi, G.T., Bizoza, A., Zinabou, G., (2012). Irrigation and water use efficiency in Sub-Saharan Africa, Briefing Paper Number 4 | 2012, GDN Agriculture Policy Series
Sarkar, S. (2013). Prediction of A CRS Frontier Function and A Transformation Function for A CCR DEA Using EMBEDED PCA. Journal of Data Envelopment Analysis and Decision Science 2013 (2013) 1-15.
Sithole, N.L.,, Lagat, J.K, and Masuku, M.B. (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.
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.
Triphathi, A., Klami, A., Oresic, M., and Kaski, S. (2011). Matching samples of multiple views. Data Mining and Knowledge Discovary, 2011: 20:300-321.
UN (2010). World Population Momitoring. Washington D.C: United Nations.
UN (2011). Food Security Sitation Analysis Report In Africa. Washington D.C: United Nations.
World Bank (2001). Rice, E. Paddy Irrigation and Water Management in Southeast Asia. A World Bank Evaluation Study. OED, Washington: Worldbank, 2001.
World Bank. (2009), Gender dimensions of the extractive industries. Washington, DC: The World Bank.
Yu, J-Y, Zou Y, Kim S T. and Lee T,. (2012). The Changing Impact of El Nino on US winter Temperatures. Geophys. Res Lett, 2012: 39 L15702.