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Assessing Water Use Efficiency of Cotton Crop in Pakistan: Impact of Geo-climatic and Socio-economic Factors

Author

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  • Nusrat Yaqoob

    (University of Karachi)

  • Zakir Hussain Dahri

    (Sindh Agriculture Research Council)

Abstract

The problem of water stress and scarcity is likely to be worsening in the coming years ahead in Pakistan. Cotton crop is a major raw material for the manufacturing sector in Pakistan and the textile industry accounts overall 75 % of the manufacturing sector of the country. This study has tested the hypothesis, of whether a significant relationship exists between water use efficiency of cotton crop (WUEc) and geo-climatic and socio-economic factors or not. To check the water use efficiency of the cotton crop for each province separately, the formula of farm field water use efficiency is used to obtain the WUEc (Sindh and Punjab). Following that to check the stationarity of univariate series Philips -Perron unit root test is applied. Subsequently, the Auto Regressive Distribution Lag (ARDL) Model is used to find the cointegration in the long run. The results of the study have disclosed that environmental factors have a significant relationship with the water use efficiency of the crop, and the misallocation of government resources at the national and provincial levels is the main reason for water usage inefficiencies in Pakistan. Therefore, at the policy-making level sustainable economic growth objectives need to be prioritized and planned investment must be directed towards the conservation of natural water resource management and improvement of human capital to disseminate smart water agriculture practices among medium and small farmers.

Suggested Citation

  • Nusrat Yaqoob & Zakir Hussain Dahri, 2025. "Assessing Water Use Efficiency of Cotton Crop in Pakistan: Impact of Geo-climatic and Socio-economic Factors," Journal of Economic Sciences, Federal Urdu University Islamabad, Department of Economics, vol. 4(1), pages 21-36, June.
    • Handle: RePEc:azm:journl:v:4:y:2025:i:1:p:21-36
    DOI: 10.55603/jes.v4i1.a2
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    References listed on IDEAS

    as
    1. Sbia, Rashid & Shahbaz, Muhammad & Hamdi, Helmi, 2014. "A contribution of foreign direct investment, clean energy, trade openness, carbon emissions and economic growth to energy demand in UAE," Economic Modelling, Elsevier, vol. 36(C), pages 191-197.
    2. Zhu, Junpeng & Lin, Boqiang, 2020. "Convergence analysis of city-level energy intensity in China," Energy Policy, Elsevier, vol. 139(C).
    3. Mekonnen, Alemu & Köhlin, Gunnar, 2008. "Determinants of Household Fuel Choice in Major Cities in Ethiopia," RFF Working Paper Series dp-08-18-efd, Resources for the Future.
    4. Cornillie, Jan & Fankhauser, Samuel, 2004. "The energy intensity of transition countries," Energy Economics, Elsevier, vol. 26(3), pages 283-295, May.
    5. Michaël Aklin, 2016. "Re-exploring the Trade and Environment Nexus Through the Diffusion of Pollution," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 64(4), pages 663-682, August.
    6. Voigt, Sebastian & De Cian, Enrica & Schymura, Michael & Verdolini, Elena, 2014. "Energy intensity developments in 40 major economies: Structural change or technology improvement?," Energy Economics, Elsevier, vol. 41(C), pages 47-62.
    7. Richard F. Garbaccio & Mun S. Ho & Dale W. Jorgenson, 1999. "Why Has the Energy-Output Ratio Fallen in China?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 63-91.
    8. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    9. Lin, Boqiang & Xu, Mengmeng, 2019. "Quantitative assessment of factors affecting energy intensity from sector, region and time perspectives using decomposition method: A case of China’s metallurgical industry," Energy, Elsevier, vol. 189(C).
    10. repec:dau:papers:123456789/10972 is not listed on IDEAS
    11. Inglesi-Lotz, R. & Pouris, A., 2012. "Energy efficiency in South Africa: A decomposition exercise," Energy, Elsevier, vol. 42(1), pages 113-120.
    12. Jiang Qingquan & Shoukat Iqbal Khattak & Manzoor Ahmad & Lin Ping, 2020. "A new approach to environmental sustainability: Assessing the impact of monetary policy on CO2 emissions in Asian economies," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(5), pages 1331-1346, September.
    13. Patiño, Lourdes Isabel & Alcántara, Vicent & Padilla, Emilio, 2021. "Driving forces of CO2 emissions and energy intensity in Colombia," Energy Policy, Elsevier, vol. 151(C).
    14. Malik, Afia, 2019. "Dynamics and Determinants of Energy Intensity: Evidence from Pakistan," MPRA Paper 103456, University Library of Munich, Germany.
    15. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    16. Birol, Fatih & Keppler, Jan Horst, 2000. "Prices, technology development and the rebound effect," Energy Policy, Elsevier, vol. 28(6-7), pages 457-469, June.
    17. Cole, Matthew A., 2006. "Does trade liberalization increase national energy use?," Economics Letters, Elsevier, vol. 92(1), pages 108-112, July.
    18. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    19. Sakib Bin Amin & Farhad Taghizadeh-Hesary & Foqoruddin Al Kabir & Farhan Khan, 2023. "Nexus between energy intensity and capital-output ratio: A holistic approach," Energy & Environment, , vol. 34(7), pages 2721-2739, November.
    20. Li, Ke & Lin, Boqiang, 2014. "The nonlinear impacts of industrial structure on China's energy intensity," Energy, Elsevier, vol. 69(C), pages 258-265.
    21. Hang, Leiming & Tu, Meizeng, 2007. "The impacts of energy prices on energy intensity: Evidence from China," Energy Policy, Elsevier, vol. 35(5), pages 2978-2988, May.
    22. Tiago Sequeira & Marcelo Santos, 2018. "Education and Energy Intensity: Simple Economic Modelling and Preliminary Empirical Results," Sustainability, MDPI, vol. 10(8), pages 1-17, July.
    23. Jiang, Lei & Folmer, Henk & Ji, Minhe, 2014. "The drivers of energy intensity in China: A spatial panel data approach," China Economic Review, Elsevier, vol. 31(C), pages 351-360.
    24. Adom, Philip Kofi, 2015. "Asymmetric impacts of the determinants of energy intensity in Nigeria," Energy Economics, Elsevier, vol. 49(C), pages 570-580.
    25. Jimenez, Raul & Mercado, Jorge, 2014. "Energy intensity: A decomposition and counterfactual exercise for Latin American countries," Energy Economics, Elsevier, vol. 42(C), pages 161-171.
    26. Sadorsky, Perry, 2010. "The impact of financial development on energy consumption in emerging economies," Energy Policy, Elsevier, vol. 38(5), pages 2528-2535, May.
    27. Lin, Boqiang & Moubarak, Mohamed, 2014. "Estimation of energy saving potential in China's paper industry," Energy, Elsevier, vol. 65(C), pages 182-189.
    28. Poumanyvong, Phetkeo & Kaneko, Shinji, 2010. "Does urbanization lead to less energy use and lower CO2 emissions? A cross-country analysis," Ecological Economics, Elsevier, vol. 70(2), pages 434-444, December.
    29. Sadorsky, Perry, 2011. "Trade and energy consumption in the Middle East," Energy Economics, Elsevier, vol. 33(5), pages 739-749, September.
    30. Elliott, Robert J.R. & Sun, Puyang & Chen, Siyang, 2013. "Energy intensity and foreign direct investment: A Chinese city-level study," Energy Economics, Elsevier, vol. 40(C), pages 484-494.
    31. Samargandi, Nahla, 2019. "Energy intensity and its determinants in OPEC countries," Energy, Elsevier, vol. 186(C).
    32. Xu, Bin & Lin, Boqiang, 2015. "How industrialization and urbanization process impacts on CO2 emissions in China: Evidence from nonparametric additive regression models," Energy Economics, Elsevier, vol. 48(C), pages 188-202.
    33. Pan, Xiongfeng & Uddin, Md. Kamal & Saima, Umme & Jiao, Zhiming & Han, Cuicui, 2019. "How do industrialization and trade openness influence energy intensity? Evidence from a path model in case of Bangladesh," Energy Policy, Elsevier, vol. 133(C).
    34. Sadorsky, Perry, 2013. "Do urbanization and industrialization affect energy intensity in developing countries?," Energy Economics, Elsevier, vol. 37(C), pages 52-59.
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    Keywords

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    JEL classification:

    • Q1 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture
    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation
    • Q3 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

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