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Estimating impact of climate change adaptation on productivity and earnings of dairy farmers: evidence from Pakistani Punjab

Author

Listed:
  • Qasir Abbas

    (University of Agriculture)

  • Jiqin Han

    (Nanjing Agricultural University)

  • Khuda Bakhsh

    (COMSATS University Islamabad)

  • Rakhshanda Kousar

    (University of Agriculture)

Abstract

Dairy farming is highly vulnerable to climate change in Pakistan; therefore, productivity and earnings of small dairy farmers are at a higher risk. Dairy farmers can reduce the determintal impacts of climate change on productivity and earnings by adaptation to climate change. It is thus critical to understand the adaptation to climate change among dariy farmers and consequent impacts on productivity and earnings. Using cross-sectional data of 450 dairy farmers from three different agroecological zones of Punjab, Pakistan, study has employed the logistic regression to determine determinants of adaptation and to analyze the adaptation impact on farm productivity and on earnings of the farmers. Educated and large farm size farmers are highly probable to adopting more adaptation measures compared to their counterparts. Estimates of PSM reveal that milk productivity and earings of adapters are higher than non-adapters. Regular vaccination found to be the most widely adopted strategy, which provides greater returns in terms of sustained milk prodction and improved dairy income. The research makes significant recommendations for adapting policies to climate change in dairy farming for improving well-being of rural households.

Suggested Citation

  • Qasir Abbas & Jiqin Han & Khuda Bakhsh & Rakhshanda Kousar, 2024. "Estimating impact of climate change adaptation on productivity and earnings of dairy farmers: evidence from Pakistani Punjab," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(5), pages 13017-13039, May.
    • Handle: RePEc:spr:endesu:v:26:y:2024:i:5:d:10.1007_s10668-023-04068-1
    DOI: 10.1007/s10668-023-04068-1
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    References listed on IDEAS

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    1. Abbas, Qasir & Han, Jiqin & Bakhsh, Khuda & Ullah, Raza & Kousar, Rakhshanda & Adeel, Adnan & Akhtar, Asma, 2022. "Adaptation to climate change risks among dairy farmers in Punjab, Pakistan," Land Use Policy, Elsevier, vol. 119(C).
    2. Beatriz García-Cornejo & José A. Pérez-Méndez & David Roibás & Alan Wall, 2020. "Efficiency and Sustainability in Farm Diversification Initiatives in Northern Spain," Sustainability, MDPI, vol. 12(10), pages 1-18, May.
    3. Edward Kato & Claudia Ringler & Mahmud Yesuf & Elizabeth Bryan, 2011. "Soil and water conservation technologies: a buffer against production risk in the face of climate change? Insights from the Nile basin in Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 42(5), pages 593-604, September.
    4. Khan, Imran & Lei, Hongdou & Shah, Irshad Ali & Ali, Imad & Khan, Inayat & Muhammad, Ihsan & Huo, Xuexi & Javed, Tehseen, 2020. "Farm households’ risk perception, attitude and adaptation strategies in dealing with climate change: Promise and perils from rural Pakistan," Land Use Policy, Elsevier, vol. 91(C).
    5. Gökçe Koç & Ayşe Uzmay, 2022. "Determinants of dairy farmers’ likelihood of climate change adaptation in the Thrace Region of Turkey," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(8), pages 9907-9928, August.
    6. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    7. Iqbal, Muhammad & Ahmad, Munir & Mustafa, Ghulam, 2015. "Impact of Farm Households’ Adaptation on Agricultural Productivity: Evidence from Different Agro-ecologies of Pakistan," MPRA Paper 72863, University Library of Munich, Germany.
    8. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
    9. Muhammad Imran & Rajendra P. Shrestha & Avishek Datta, 2020. "Comparing farmers’ perceptions of climate change with meteorological data in three irrigated cropping zones of Punjab, Pakistan," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(3), pages 2121-2140, March.
    10. Qasir Abbas & Jiqin Han & Adnan Adeel & Raza Ullah, 2019. "Dairy Production under Climatic Risks: Perception, Perceived Impacts and Adaptations in Punjab, Pakistan," IJERPH, MDPI, vol. 16(20), pages 1-21, October.
    11. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    12. Anish Shrestha & Samata Baral, 2018. "Socioeconomic Factors Affecting Awareness And Adaption Of Climate Change: A Case Study Of Banke District Nepal," Earth Sciences Malaysia (ESMY), Zibeline International Publishing, vol. 2(2), pages 20-24, January.
    13. Kassie, Menale & Shiferaw, Bekele & Muricho, Geoffrey, 2011. "Agricultural Technology, Crop Income, and Poverty Alleviation in Uganda," World Development, Elsevier, vol. 39(10), pages 1784-1795.
    14. Paul Dorosh & Sohail J. Malik & Marika Krausova, 2010. "Rehabilitating Agriculture and Promoting Food Security After the 2010 Pakistan Floods: Insights from the South Asian Experience," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 49(3), pages 167-192.
    15. Akhter Ali & Awudu Abdulai, 2010. "The Adoption of Genetically Modified Cotton and Poverty Reduction in Pakistan," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(1), pages 175-192, February.
    16. Suresh, Kanesh & Khanal, Uttam & Wilson, Clevo & Managi, Shunsuke & Quayle, Annette & Santhirakumar, Samithamby, 2021. "An economic analysis of agricultural adaptation to climate change impacts in Sri Lanka: An endogenous switching regression analysis," Land Use Policy, Elsevier, vol. 109(C).
    17. Call, Maia & Gray, Clark & Jagger, Pamela, 2019. "Smallholder responses to climate anomalies in rural Uganda," World Development, Elsevier, vol. 115(C), pages 132-144.
    18. Anthony C. Janetos, 2020. "Why is climate adaptation so important? What are the needs for additional research?," Climatic Change, Springer, vol. 161(1), pages 171-176, July.
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