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Pig Farmers’ Preferences for the Adoption of Good Animal Husbandry Practices in Vietnam: A Choice Experiment

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  • Mai D. Quy

    (Faculty of Economics, Nong Lam University, Ho Chi Minh City 72911, Vietnam)

  • Dang T. Ha

    (Faculty of Economics, Nong Lam University, Ho Chi Minh City 72911, Vietnam)

Abstract

As the need for food safety rises, consumers are becoming more interested in certified safe pork products, such as those with safety certification or traceability. Implementing GAHP guidelines for pig farming is one potential approach to achieving food safety in Vietnam. Nevertheless, since GAHP requires a relatively substantial initial investment, its adoption is mostly determined by the economic feasibility of pig farming. A choice experiment was used in this study to investigate farmers’ preferences for adopting GAHP in pig farming in Vietnam. The findings show that pig farmers are strongly inclined to adopt GAHP if specific conditions are met. The presence of guaranteed output contracts, increased yields, and price premiums are important variables influencing their decision to implement GAHP. The findings could be used by policymakers to develop and implement supportive regulations to encourage GAHP adoption, while buyers, processors, and retailers can capitalize on pig farmers’ preferences by establishing and publicizing market channels for GAHP-certified products. Furthermore, these findings could be used to assist pig farmers in making informed choices about their farming practices, allowing them to analyze the possibility of getting output contracts, implementing productivity-boosting initiatives, and exploring market potential for GAHP-certified pigs.

Suggested Citation

  • Mai D. Quy & Dang T. Ha, 2023. "Pig Farmers’ Preferences for the Adoption of Good Animal Husbandry Practices in Vietnam: A Choice Experiment," Sustainability, MDPI, vol. 15(13), pages 1-14, July.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:10545-:d:1186811
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    1. Dickinson, David L. & Bailey, DeeVon, 2002. "Meat Traceability: Are U.S. Consumers Willing To Pay For It?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 27(2), pages 1-17, December.
    2. Schulz, Lee L. & Tonsor, Glynn T., 2010. "Cow-Calf Producer Perceptions Regarding Individual Animal Traceability," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 42(4), pages 1-19, November.
    3. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    4. Ly Thi Nguyen & Teruaki Nanseki & Yosuke Chomei, 2021. "Farmer constraints on implementing Good Animal Husbandry Practices in Vietnam: case study on household pig production," Asia-Pacific Journal of Regional Science, Springer, vol. 5(3), pages 933-950, October.
    5. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
    6. Ly Thi Nguyen & Teruaki Nanseki & Yosuke Chomei, 2020. "The impact of VietGAHP implementation on Vietnamese households’ pig production," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(8), pages 7701-7725, December.
    7. Henning Bjornlund & Andre van Rooyen & Richard Stirzaker, 2017. "Profitability and productivity barriers and opportunities in small-scale irrigation schemes," International Journal of Water Resources Development, Taylor & Francis Journals, vol. 33(5), pages 690-704, September.
    8. Ortega, David L. & Wang, H. Holly & Wu, Laping & Olynk, Nicole J., 2011. "Modeling heterogeneity in consumer preferences for select food safety attributes in China," Food Policy, Elsevier, vol. 36(2), pages 318-324, April.
    9. Phong, Truong Ngoc & Thang, Vo Tat & Hoai, Nguyen Trong, 2021. "What motivates farmers to accept good aquaculture practices in development policy? Results from choice experiment surveys with small-scale shrimp farmers in Vietnam," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 454-469.
    10. Ian J. Bateman & Richard T. Carson & Brett Day & Michael Hanemann & Nick Hanley & Tannis Hett & Michael Jones-Lee & Graham Loomes, 2002. "Economic Valuation with Stated Preference Techniques," Books, Edward Elgar Publishing, number 2639, March.
    11. Lapar, Ma. Lucila & Duong Nga, Nguyen Thi & Thinh, Mguyen THi & Huyen, Nguyen Thi Thu & Unger, Fred & Grace, Delia, 2017. "Adoption and Impact of Gaps in Pig Value Chains: Implications for Institutional Policy and Practice Change," 2017 ASAE 9th International Conference, January 11-13, Bangkok, Thailand 284859, Asian Society of Agricultural Economists (ASAE).
    12. Kariyasa, Ketut & Dewi, Yovita Anggita, 2013. "Analysis Of Factors Affecting Adoption Of Integrated Crop Management Farmer Field School (Icm-Ffs) In Swampy Areas," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 1(2), pages 1-10, October.
    13. Loureiro, Maria L. & Umberger, Wendy J., 2007. "A choice experiment model for beef: What US consumer responses tell us about relative preferences for food safety, country-of-origin labeling and traceability," Food Policy, Elsevier, vol. 32(4), pages 496-514, August.
    14. Jeffrey Gillespie & Seon‐Ae Kim & Krishna Paudel, 2007. "Why don't producers adopt best management practices? An analysis of the beef cattle industry," Agricultural Economics, International Association of Agricultural Economists, vol. 36(1), pages 89-102, January.
    15. Khuu, Thi Phuong Dong & Saito, Yoko & Tojo, Naoki & Nguyen, Phuong Duy & Nguyen, Thi Ngoc Hoa & Matsuishi, Takashi Fritz, . "Are Consumers Willing To Pay More For Traceability? Evidence From An Auction Experiment Of Vietnamese Pork," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 7(2).
    16. Wu, Haixia & Li, Jianping & Ge, Yan, 2022. "Ambiguity preference, social learning and adoption of soil testing and formula fertilization technology," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    17. Allenby, Greg M. & Rossi, Peter E., 1998. "Marketing models of consumer heterogeneity," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 57-78, November.
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