Over the past 50 years, cross-sectoral water utilization in Tanzania has grown considerably due to the increase of human populations which increasing food demands and growing of economic activities that require water in production. The agriculture sector is one of the major users of water resource for irrigation activities. The purpose of this paper was to analyse the irrigation water price in rice production in Tanzania. The secondary data were collected from the Ministry of Agriculture, Food Security and Cooperatives in Statistics Unit and zonal irrigation units. Elasticities were estimated using ordinary least squares technique with the help of STATA 11. Factor analysis technique was also applied. The estimated water price coefficient was found to be -0.03 and the average water price was estimated to be 5.50 Tshs/m3. However the water productivity was 0.3kg/m3, whereas the production was estimated to be 2.5ton/ha.
Published in | Applied and Computational Mathematics (Volume 3, Issue 4) |
DOI | 10.11648/j.acm.20140304.19 |
Page(s) | 177-185 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2014. Published by Science Publishing Group |
Water Demand Function, Panel Data, Irrigation, Water Price, Water Productivity, Factor Analysis
[1] | Amin, M.S.M., Rowshon, M.K. and Aimrun,W. (2011) Paddy WaterManagement for Precision Farming of Rice; Universiti Putra Malaysia (UPM) |
[2] | Rosegrant W.M & Ringler C (2000); International Model for Policy Analysis of Agricultural commodities; International Food Policy Research Institute; Washington D.C |
[3] | Sahibzada, A.S (2002); Pricing Irrigation Water in Pakistan: An Evaluation of Available Options; The Pakistan Development Review 41:3 (Autumn 2002) pp. 209–241 |
[4] | Saima, J., Muhammad, A. and Baig, A.I. (2006) Linear program Modeling for determining the value of irrigation water; J.Agri.soc.Sci,vol 2, no 2, 2006 |
[5] | Sadeghi,A., Mohammad, K., Ghazali, M., Motiee,N., and Nazarihashemi, S.R.(2012); An Econometric Estimation of Irrigation Water Demand for Watermelon in Iran; DOI: 10.7763/IPEDR. 2012. V55. 18 |
[6] | Cornish, G., Bosworth, B., and Perry, C. (2004); Water Charging in Irrigated Agriculture, An Analysis of International Experience; FAO Report |
[7] | McKinney, D.C., Ximing, C., Rosegrant, W.M., Ringler,C. and Scott,S.A. (1999) Modeling Water Resources Management at the Basin Level; Review and Future Direction; International Water Management Institute; SWIM paper 6; Colombo |
[8] | Felipe, J. and Adams, G.F (2005); A Theory of Production; The Estimation of the Cobb Douglas Function: A Retrospective View; Eastern Economic Journal, Vol. 31, No. 3, summer, 2005. |
[9] | Sadeghi, A., Mohayidin, M.G., Hussein, M.A and Attari, J. (2010) Estimation of Irrigation Water Demand for Barley in Iran. The panel Data Evidence. Journal of Agricultural Science Vol. 2, No. 2, June 2010 |
[10] | Sadeghi A (2010) The Impact of Pricing Policy on the Demand for Water in Iran Agricultural Sector |
[11] | Sadeghi,A., Mohayidin,M.G., Hussein,M.A and Ali Baheiraei,A. (2010); Determining The Economic Value of the Irrigation Water in Production of Wheat in Iran; Australian Journal of Basic and Applied Sciences, 4(6): 1391-1402, 2010; ISSN 1991-8178 |
[12] | Michael, A.,Kuznetsov, D., Mirau, S.(2014) Estimation of Irrigation Water Demand in Rice Production Tanzania. |
[13] | Karina, S., David L. S. and Georgina, M. (2004) Panel Estimation of Agricultural Water Demand Based on an Episode of Rate Reform; American Agricultural Economics Association Annual Meeting; Denver Co |
[14] | [14]Bontemps, C. & Couture, S. (2002); Irrigation Water Demand for the Decision Maker; Environment and Development Economics 7: 643-657. |
[15] | Clayton, O. W. and Noel, R. G. (1989); Western Irrigation Response to Pumping Costs: A Water Demand Analysis Using Climatic Regions; Water Resources Research 25 (5): 767-773. |
[16] | Hooker, M. A. & Alexander, W. E.(1998); Estimating the Demand for Irrigation Water in the Central Valley of California; Journal of the American Water Resources Association 34 (3): 497-505. |
[17] | Karina, S., David L. S. and Georgina, M. (2006) Price Elasticity Reconsidered: Panel Estimation of an Agricultural Water Demand Function. Water resources research, vol. 42, W09411, doi:10.1029/2005WR004096. |
[18] | Naveen, C., Rister, M.E. and Lacewell, R.D. (2011) Estimation of irrigation Water Demand; A case study for the Texas High Plains; Texas |
[19] | Kadigi R.M.J (2003); Rice Production Economics at the Local and National Levels: The Case of Usangu Plains in Tanzania; unpublished document |
[20] | Musamba, B.E., Ngaga, M.Y., Boon K.M, Giliba .A.S, Chirenje I.L (2011); The Economics of Water in Paddy and Non-Paddy Crop Production around the Kilombero Valley Ramsar Site, Tanzania: Productivity, Costs, Returns and Implication to Poverty Reduction |
[21] | Mpawenimana, J. (2005); Analysis of Socio-economic Factors Affecting the Production of Bananas in Rwanda: A Case Study of Kanama District |
[22] | Michael J, I. (2006); Modeling the Cost Structure of Public Transit Firms: The Scale Economies Question and Alternate Functional Forms; University of Minnesota |
[23] | Amy S. Beavers, John W. Lounsbury, Jennifer K. Richards, Schuyler W. Huck, Gary J.Skolits, and Shelley L. Esquivel (2013); Practical Considerations for Using Exploratory Factor Analysis in Educational Research; The University of Tennessee |
[24] | Rencher, A. C., (2002); Methods of Multivariate Analysis; Second Edition; A John Wiley & Sons, Inc. Publication; Brigham Young University |
[25] | Kate, B. Fuller and Julian M. Alston (2010) The Elasticity of Demand for California Winegrapes; Califonia |
APA Style
Amos Michael, Dmitry Kuznetsov, Silas Mirau. (2014). Analysis of the Irrigation Water Price in Rice Production Tanzania. Applied and Computational Mathematics, 3(4), 177-185. https://doi.org/10.11648/j.acm.20140304.19
ACS Style
Amos Michael; Dmitry Kuznetsov; Silas Mirau. Analysis of the Irrigation Water Price in Rice Production Tanzania. Appl. Comput. Math. 2014, 3(4), 177-185. doi: 10.11648/j.acm.20140304.19
AMA Style
Amos Michael, Dmitry Kuznetsov, Silas Mirau. Analysis of the Irrigation Water Price in Rice Production Tanzania. Appl Comput Math. 2014;3(4):177-185. doi: 10.11648/j.acm.20140304.19
@article{10.11648/j.acm.20140304.19, author = {Amos Michael and Dmitry Kuznetsov and Silas Mirau}, title = {Analysis of the Irrigation Water Price in Rice Production Tanzania}, journal = {Applied and Computational Mathematics}, volume = {3}, number = {4}, pages = {177-185}, doi = {10.11648/j.acm.20140304.19}, url = {https://doi.org/10.11648/j.acm.20140304.19}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acm.20140304.19}, abstract = {Over the past 50 years, cross-sectoral water utilization in Tanzania has grown considerably due to the increase of human populations which increasing food demands and growing of economic activities that require water in production. The agriculture sector is one of the major users of water resource for irrigation activities. The purpose of this paper was to analyse the irrigation water price in rice production in Tanzania. The secondary data were collected from the Ministry of Agriculture, Food Security and Cooperatives in Statistics Unit and zonal irrigation units. Elasticities were estimated using ordinary least squares technique with the help of STATA 11. Factor analysis technique was also applied. The estimated water price coefficient was found to be -0.03 and the average water price was estimated to be 5.50 Tshs/m3. However the water productivity was 0.3kg/m3, whereas the production was estimated to be 2.5ton/ha.}, year = {2014} }
TY - JOUR T1 - Analysis of the Irrigation Water Price in Rice Production Tanzania AU - Amos Michael AU - Dmitry Kuznetsov AU - Silas Mirau Y1 - 2014/08/30 PY - 2014 N1 - https://doi.org/10.11648/j.acm.20140304.19 DO - 10.11648/j.acm.20140304.19 T2 - Applied and Computational Mathematics JF - Applied and Computational Mathematics JO - Applied and Computational Mathematics SP - 177 EP - 185 PB - Science Publishing Group SN - 2328-5613 UR - https://doi.org/10.11648/j.acm.20140304.19 AB - Over the past 50 years, cross-sectoral water utilization in Tanzania has grown considerably due to the increase of human populations which increasing food demands and growing of economic activities that require water in production. The agriculture sector is one of the major users of water resource for irrigation activities. The purpose of this paper was to analyse the irrigation water price in rice production in Tanzania. The secondary data were collected from the Ministry of Agriculture, Food Security and Cooperatives in Statistics Unit and zonal irrigation units. Elasticities were estimated using ordinary least squares technique with the help of STATA 11. Factor analysis technique was also applied. The estimated water price coefficient was found to be -0.03 and the average water price was estimated to be 5.50 Tshs/m3. However the water productivity was 0.3kg/m3, whereas the production was estimated to be 2.5ton/ha. VL - 3 IS - 4 ER -