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Technical Efficiency Analysis of Layer and Broiler Poultry Farmers in Pakistan

Author

Listed:
  • Nisar Ahmed Khan

    (School of Economics and Management, Beijing University of Technology, Beijing 100081, China)

  • Majid Ali

    (Department of Economics and Agi-Economics, PMAS-Arid Agriculture University, Rawalpindi 46000, Pakistan)

  • Nihal Ahmad

    (School of Economics and Management, Northwest Agricultural & Forestry University, Xi’an 712100, China)

  • Muhammad Ali Abid

    (Department of Artificial Intelligence, University of Agriculture Dera Ismail Khan, Dera Ismail Khan 29120, Pakistan)

  • Sigrid Kusch-Brandt

    (Faculty of Mathematics, Natural Sciences and Management, University of Applied Sciences Ulm, 89075 Ulm, Germany
    Water and Environmental Engineering Group, University of Southampton, Southampton SO16 7QF, UK)

Abstract

Achieving high production with limited resources is a major challenge faced by poultry farmers in countries with developing economies, such as Pakistan. Optimization of the technical efficiency (TE) of poultry business operations is a promising strategy. A representative sample of 210 poultry farms in the province of Punjab in Pakistan was analyzed for TE. The studied sample comprised 105 layer chicken farms (battery cage system, egg production) and 105 broiler chicken farms (environmental control shed system, meat production). A Cobb–Douglas stochastic frontier production analysis approach with the inefficiency effect model was used to simultaneously estimate TE levels and identify factors that influence efficiency. The results indicated that flock size, labor, feed, and water consumption are positively related to egg production, whereas vaccination was found to be insignificant. For broiler businesses, flock size, feed, and water consumption were positively related to the output, whereas labor and vaccination were found to be insignificant. The results of the TE inefficiency effect model revealed that farmer age, education, experience, access to credit, and access to extension services all had a significant and positive influence on the technical efficiency of both layer and broiler farmers. The estimated mean TE level of layer and broiler poultry farmers was 89% and 92%, respectively, evaluated against the benchmark of the identified frontier of efficient production with prevailing systems. The study concludes that it is possible to increase egg production by 11% and meat production by 8% by making more efficient use of the available resources and technology. To improve poultry farmers’ efficiency, policy interventions should focus more on the pronounced effects of variables such as education, farmer experience, credit access, and extension services.

Suggested Citation

  • Nisar Ahmed Khan & Majid Ali & Nihal Ahmad & Muhammad Ali Abid & Sigrid Kusch-Brandt, 2022. "Technical Efficiency Analysis of Layer and Broiler Poultry Farmers in Pakistan," Agriculture, MDPI, vol. 12(10), pages 1-21, October.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:10:p:1742-:d:949651
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    References listed on IDEAS

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    1. Tim J. Coelli, 1995. "Recent Developments In Frontier Modelling And Efficiency Measurement," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 39(3), pages 219-245, December.
    2. Lindikaya W. Myeki & Nkhanedzeni B. Nengovhela & Livhuwani Mudau & Elvis Nakana & Simphiwe Ngqangweni, 2022. "Estimation of Technical, Allocative, and Economic Efficiencies for Smallholder Broiler Producers in South Africa," Agriculture, MDPI, vol. 12(10), pages 1-14, October.
    3. Mulugeta Y. Birhanu & Tesfahun Alemayehu & Jasmine E. Bruno & Fasil Getachew Kebede & Emmanuel Babafunso Sonaiya & Ezekiel H. Goromela & Oladeji Bamidele & Tadelle Dessie, 2021. "Technical Efficiency of Traditional Village Chicken Production in Africa: Entry Points for Sustainable Transformation and Improved Livelihood," Sustainability, MDPI, vol. 13(15), pages 1-21, July.
    4. Prabhat Khanal & Rajan Dhakal & Tanka Khanal & Deepak Pandey & Naba Raj Devkota & Mette Olaf Nielsen, 2022. "Sustainable Livestock Production in Nepal: A Focus on Animal Nutrition Strategies," Agriculture, MDPI, vol. 12(5), pages 1-20, May.
    5. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    6. Tiange Liu & Sherryl Broverman & Eve S. Puffer & Daniel A. Zaltz & Andrew L. Thorne-Lyman & Sara E. Benjamin-Neelon, 2022. "Dietary Diversity and Dietary Patterns in School-Aged Children in Western Kenya: A Latent Class Analysis," IJERPH, MDPI, vol. 19(15), pages 1-12, July.
    7. Yanqi Han & Hui Lyu & Shixiong Cheng & Yuhang He, 2022. "Influencing Mechanism and Difference of Poultry Farmers’ Willingness and Behavior in Breeding Scale—Evidence from Jianghan Plain, China," IJERPH, MDPI, vol. 19(3), pages 1-15, January.
    8. Yenibehit N & Murshed M & Islam M. J, 2019. "Assessment of Technical Efficiency of Layer Production in Mampong Municipality: Stochastic Frontier Approach," Current Research in Agricultural Sciences, Conscientia Beam, vol. 6(1), pages 20-28.
    9. Yenibehit, N. & Murshed, M. & Islam, M. J., 2019. "Assessment of Technical Efficiency of Layer Production in Mampong Municipality: Stochastic Frontier Approach," Current Research in Agricultural Sciences, Conscientia Beam, vol. 6(1), pages 20-28.
    10. Saliu, L.A. & Abdulrazaq, S.A. & Eleke, P.N., 2016. "Production Efficiency of Poultry Egg (Layer) Production in Chikun and Igabi Local Government Areas of Kaduna State, Nigeria," Nigerian Journal of Agricultural Economics, Nigerian Journal of Agricultural Economics, vol. 6(1), October.
    11. Stevenson, Rodney E., 1980. "Likelihood functions for generalized stochastic frontier estimation," Journal of Econometrics, Elsevier, vol. 13(1), pages 57-66, May.
    12. Muhammad Kamran Hanif & Yahui Fan & Lina Wang & Hong Jiang & Zhaofang Li & Mei Ma & Le Ma & Mao Ma, 2022. "Dietary Habits of Patients with Coronary Artery Disease: A Case-Control Study from Pakistan," IJERPH, MDPI, vol. 19(14), pages 1-9, July.
    13. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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