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Does Formal Contract Farming Improve the Technical Efficiency of Livestock Farmers? A Case Study of Fattening Pig Production in Hanoi, Vietnam

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  • Le Thi Thu Huong

    (Faculty of Accounting and Business Management, Vietnam National University of Agriculture, Hanoi 12406, Vietnam)

  • Luu Van Duy

    (Faculty of Economics and Management, Vietnam National University of Agriculture, Hanoi 12406, Vietnam)

  • Bui Phung Khanh Hoa

    (Hanoi Department of Agriculture and Environment, Hanoi 151100, Vietnam)

  • Bui Thi Nga

    (Faculty of Tourism and Foreign Languages, Vietnam National University of Agriculture, Hanoi 12406, Vietnam)

  • Nguyen Van Phuong

    (Department of Marketing, Institute of Business Administration, Vietnam National University, Hanoi 123080, Vietnam)

Abstract

Contract farming has become a sustainable strategy in agriculture around the world. Formal farming contract in pig production is one of the priorities of the Vietnamese Government for livestock development. Due to the differences in husbandry methods, a comparison of the technical efficiency between contract and noncontract pig farms has not been studied in Vietnam yet. This study attempts to do so and proposes implications for the sustainable development of pig production in Vietnam. In this study, we surveyed 201 pig farms (63 contract farms and 138 noncontract farms) in Hanoi, Vietnam, and applied data envelopment analysis (DEA) with a meta-frontier. Under group frontiers, the technical efficiency of the contract and noncontract farms are 96.11% and 88.64%, respectively. However, the meta-technology ratios of the two groups are 82.30% and 99.99%, respectively, which means that contract farms’ technical efficiency is lower than noncontract farms. An interesting finding is that although the technical efficiency of contract farms is lower than noncontract farms, their annual pig income is significantly higher, making contract farming attractive to farmers. Results of Tobit regression models showed that land rent is one of the important factors that reduce the technical efficiency of both contract and noncontract farms. This result implies that the Vietnamese government should revise the land limit policy so that farms can own more land. Another finding is that the high feed price reduces the technical efficiency of noncontract farms. The policy implication from this finding is that the Vietnamese government should develop domestic raw material areas for feed production to lessen the dependence on imported raw materials from abroad, which contributes to reducing the feed prices in Vietnam.

Suggested Citation

  • Le Thi Thu Huong & Luu Van Duy & Bui Phung Khanh Hoa & Bui Thi Nga & Nguyen Van Phuong, 2025. "Does Formal Contract Farming Improve the Technical Efficiency of Livestock Farmers? A Case Study of Fattening Pig Production in Hanoi, Vietnam," Sustainability, MDPI, vol. 17(8), pages 1-18, April.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:8:p:3557-:d:1635311
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    References listed on IDEAS

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    1. Leopold Simar & Paul Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(6), pages 779-802.
    2. Huy, Hoang Trieu & Nguyen, Trung Thanh, 2019. "Cropland rental market and farm technical efficiency in rural Vietnam," Land Use Policy, Elsevier, vol. 81(C), pages 408-423.
    3. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    4. Tu, Vo Hong & Kopp, Steven W. & Trang, Nguyen Thuy & Hong, Nguyen Bich & Yabe, Mitsuyasu, 2021. "Land accumulation: An option for improving technical and environmental efficiencies of rice production in the Vietnamese Mekong Delta," Land Use Policy, Elsevier, vol. 108(C).
    5. Van Meensel, Jef & Lauwers, Ludwig & Van Huylenbroeck, Guido & Van Passel, Steven, 2010. "Comparing frontier methods for economic-environmental trade-off analysis," European Journal of Operational Research, Elsevier, vol. 207(2), pages 1027-1040, December.
    6. Oleg Badunenko & Pavlo Mozharovskyi, 2016. "Nonparametric frontier analysis using Stata," Stata Journal, StataCorp LLC, vol. 16(3), pages 550-589, September.
    7. Thi Ly, Nguyen & Nanseki, Teruaki & Chomei, Yosuke, 2016. "Technical Efficiency and Its Determinants in Household Pig Production in Vietnam : A DEA Approach," Japanese Journal of Agricultural Economics (formerly Japanese Journal of Rural Economics), Agricultural Economics Society of Japan (AESJ), vol. 18.
    8. Bernhard Brümmer, 2001. "Estimating confidence intervals for technical efficiency: the case of private farms in slovenia," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 28(3), pages 285-306, October.
    9. Jabbar, Mohammad A. & Akter, Shaheen, 2008. "Market and other factors affecting farm specific production efficiency in pig production in Vietnam," Research Reports 182988, International Livestock Research Institute.
    10. Reinhard, Stijn & Knox Lovell, C. A. & Thijssen, Geert J., 2000. "Environmental efficiency with multiple environmentally detrimental variables; estimated with SFA and DEA," European Journal of Operational Research, Elsevier, vol. 121(2), pages 287-303, March.
    11. McDonald, John, 2009. "Using least squares and tobit in second stage DEA efficiency analyses," European Journal of Operational Research, Elsevier, vol. 197(2), pages 792-798, September.
    12. Tim Coelli & Sanzidur Rahman & Colin Thirtle, 2002. "Technical, Allocative, Cost and Scale Efficiencies in Bangladesh Rice Cultivation: A Non‐parametric Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 53(3), pages 607-626, November.
    13. Phil Simmons & Paul Winters & Ian Patrick, 2005. "An analysis of contract farming in East Java, Bali, and Lombok, Indonesia," Agricultural Economics, International Association of Agricultural Economists, vol. 33(s3), pages 513-525, November.
    14. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    15. Christopher O’Donnell & D. Rao & George Battese, 2008. "Metafrontier frameworks for the study of firm-level efficiencies and technology ratios," Empirical Economics, Springer, vol. 34(2), pages 231-255, March.
    16. Mette Asmild & Jens Leth Hougaard, 2006. "Economic versus environmental improvement potentials of Danish pig farms," Agricultural Economics, International Association of Agricultural Economists, vol. 35(2), pages 171-181, September.
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