This study employs the positive mathematical programming (PMP) approach to estimate groundwater derived demand for irrigation using a cross-sectional dataset of 200 predominantly groundwater irrigated farms from the Punjab province of Pakistan. First, we find that the PMP optimal solution uses less water than what is available (being extracted) in order to make farmers allocate all the available land to different crops. Second, when water supplies are constrained farmers allocate land to different crops based on their total returns, not on the irrigation water requirements. The study results suggest that the limiting/constraining groundwater extractions would induce farmers to reconsider their irrigation water demand. The study findings suggest an introduction of Rs. 0.04/m3 of groundwater would not decrease farm income rather it would make farmers aware of the economic value of water. We suggest that although water pricing can induce an efficient use of groundwater extractions, additional policies are also required that improve irrigation water use efficiency.
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Research Article|
December 22 2015
Irrigation water demand and implications for groundwater pricing in Pakistan Available to Purchase
Muhammad Arif Watto;
Muhammad Arif Watto
*
aSchool of Agricultural & Resource Economics, The University of Western Australia M089, 35 Stirling Highway, Crawley 6009, Western Australia, Australia
bUS-Pakistan Centre for Advanced Studies in Agriculture and Food Security (USPCAS-AFS), University of Agriculture, Faisalabad, Pakistan
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Amin William Mugera
Amin William Mugera
aSchool of Agricultural & Resource Economics, The University of Western Australia M089, 35 Stirling Highway, Crawley 6009, Western Australia, Australia
cThe Institute of Agriculture, The University of Western Australia M089, 35 Stirling Highway, Crawley 6009, Western Australia, Australia
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Water Policy (2016) 18 (3): 565–585.
Article history
Received:
March 09 2015
Accepted:
November 16 2015
Citation
Muhammad Arif Watto, Amin William Mugera; Irrigation water demand and implications for groundwater pricing in Pakistan. Water Policy 1 June 2016; 18 (3): 565–585. doi: https://doi.org/10.2166/wp.2015.160
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