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Measuring Groundwater Irrigation Efficiency in Pakistan: A DEA Approach Using the Sub-vector and Slack-based Models

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  • Watto, Muhammad

Abstract

We estimate the efficiency of groundwater use in cotton production in the Punjab province of Pakistan. We use a survey data of 189 cotton producers comprising 98 tube-well owners and 91 water buyers in order to get the differential impact of tube-well ownership on groundwater use efficiency. We use data envelopment analysis to compute the technical, scale, cost and allocative efficiencies for tube-well owners and water buyers relative to a meta-frontier and groupfrontiers. The DEA sub-vector and slack-based models are used to compute groundwater use efficiency. The results indicate low levels of technical inefficiencies with water buyers being more inefficient relative to tube-well owners. However, groundwater use inefficiency is more pronounced than the respective technical efficiency. The sub-vector and slack-based estimates are highly correlated suggesting the robustness of the results. The results on returns to scale indicate that the majority of cotton growers are operating at increasing returns to scale, suggesting that efficiency can be improved by expanding the scale of operation. We use a second-stage bootstrap truncated regression to investigate the factors that influence technical efficiency and groundwater use efficiency. We find that the level of education, seed quality and extension services have positive significant impacts on technical and groundwater use efficiency. We suggest that knowledge of crop water requirements and the use of improved crop varieties can play role in improving the efficiency of groundwater use.

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  • Watto, Muhammad, 2013. "Measuring Groundwater Irrigation Efficiency in Pakistan: A DEA Approach Using the Sub-vector and Slack-based Models," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152204, Australian Agricultural and Resource Economics Society.
    • Handle: RePEc:ags:aare13:152204
    DOI: 10.22004/ag.econ.152204
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    4. Imran, Muhammad Ali & Ali, Asghar & Ashfaq, Muhammad & Hassan, Sarfraz & Culas, Richard & Ma, Chunbo, 2019. "Impact of climate smart agriculture (CSA) through sustainable irrigation management on Resource use efficiency: A sustainable production alternative for cotton," Land Use Policy, Elsevier, vol. 88(C).
    5. Zhuo-wan Liu & Tomas Balezentis & Yao-yao Song & Guo-liang Yang, 2019. "Estimating Capacity Utilization of Chinese State Farms," Sustainability, MDPI, vol. 11(18), pages 1-29, September.
    6. Asghar, Sobia & Tsusaka, Takuji W. & Jourdain, Damien & Saqib, Shahab E. & Sasaki, Nophea, 2022. "Assessing the efficiency of smallholder sugarcane production: The case of Faisalabad, Pakistan," Agricultural Water Management, Elsevier, vol. 269(C).
    7. Abdulazeez Hudu Wudil & Asghar Ali & Khalid Mushtaq & Sajjad Ahmad Baig & Magdalena Radulescu & Piotr Prus & Muhammad Usman & László Vasa, 2023. "Water Use Efficiency and Productivity of Irrigated Rice Cultivation in Nigeria: An Application of the Stochastic Frontier Approach," Sustainability, MDPI, vol. 15(10), pages 1-19, May.
    8. Sobia Asghar & Nophea Sasaki & Damien Jourdain & Takuji W. Tsusaka, 2018. "Levels of Technical, Allocative, and Groundwater Use Efficiency and the Factors Affecting the Allocative Efficiency of Wheat Farmers in Pakistan," Sustainability, MDPI, vol. 10(5), pages 1-22, May.
    9. Muhammad Ali Imran & Asghar Ali & Muhammad Ashfaq & Sarfraz Hassan & Richard Culas & Chunbo Ma, 2018. "Impact of Climate Smart Agriculture (CSA) Practices on Cotton Production and Livelihood of Farmers in Punjab, Pakistan," Sustainability, MDPI, vol. 10(6), pages 1-20, June.
    10. Kwaku Boakye & Yu-Feng Lee & Festus F. Annor & Samuel K. N. Dadzie & Iddrisu Salifu, 2024. "Data Envelopment Analysis (DEA) to Estimate Technical and Scale Efficiencies of Smallholder Pineapple Farmers in Ghana," Agriculture, MDPI, vol. 14(7), pages 1-14, June.

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