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Measurement and Regional Disparities of Pig Farming Efficiency Under Different Production Scales: Evidence From China

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  • Weiduo Chen
  • Gang Wu
  • Shu Wang

Abstract

China's pig farming sector is increasingly shifting toward large‐scale and intensive operations, and differences in productivity across farm‐size categories have become crucial for maintaining competitiveness. This paper investigates the changing scale structure of pig production and assesses both static efficiency and dynamic total factor productivity (TFP) for farms of four sizes using panel data from 27 mainland provinces for the period 2010–2022. Static efficiency is estimated using an input‐oriented Data Envelopment Analysis (DEA) model under variable returns to scale, specifically the Banker‐Charnes‐Cooper (BCC) specification, while dynamic productivity change is captured by the DEA‐based Malmquist index and its decomposition. The findings reveal that average static technical efficiency remains high, with medium‐sized farms slightly outperforming others. Large‐scale farms suffered a transient dip under external shock conditions, but subsequently recovered, largely through gains in pure technical efficiency. On the dynamic side, TFP hovered around unity, with technological progress emerging as the dominant driver of efficiency improvement. Regionally, eastern coastal provinces leveraged technological advancement to enhance productivity, whereas central and western regions were held back by persistent high‐input/low‐conversion inefficiencies. The results suggest that enhancing technological capacity and management performance, combined with region‐specific strategies supporting optimal scale development and technology diffusion, are key to narrowing regional gaps and promoting the high‐quality, sustainable development of China's pig‐farming industry.

Suggested Citation

  • Weiduo Chen & Gang Wu & Shu Wang, 2026. "Measurement and Regional Disparities of Pig Farming Efficiency Under Different Production Scales: Evidence From China," Agricultural Economics, International Association of Agricultural Economists, vol. 57(2), March.
    • Handle: RePEc:bla:agecon:v:57:y:2026:i:2:n:e70105
    DOI: 10.1111/agec.70105
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    References listed on IDEAS

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    1. Liu, Shuang & Jin, Yanhong & Zheng, Fengtian, 2024. "Did product certification and e-commerce benefit agricultural producers in China?," Food Policy, Elsevier, vol. 127(C).
    2. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    3. Helen H. Jensen, 2005. "Infectious Disease, Productivity, and Scale in Open and Closed Animal Production Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(4), pages 900-917.
    4. Ning Geng & Zengjin Liu & Xuejiao Wang & Lin Meng & Jiayan Pan, 2022. "Measurement of Green Total Factor Productivity and Its Spatial Convergence Test on the Pig-Breeding Industry in China," Sustainability, MDPI, vol. 14(21), pages 1-19, October.
    5. Chen, Yuquan & Yu, Xiaohua, 2018. "Does the centralized slaughtering policy create market power for pork industry in China?," China Economic Review, Elsevier, vol. 50(C), pages 59-71.
    6. Kuhn, Lena & Balezentis, Tomas & Hou, Lingling & Wang, Dan, 2020. "Technical and environmental efficiency of livestock farms in China: A slacks-based DEA approach," China Economic Review, Elsevier, vol. 62(C).
    7. Fare, Rolf & Grosskopf, Shawna, 1994. "Estimation of returns to scale using data envelopment analysis: A comment," European Journal of Operational Research, Elsevier, vol. 79(2), pages 379-382, December.
    8. Tian, Xu & Sun, Feifei & Zhou, Yingheng, 2015. "Technical Efficiency and Its Determinants in China's Hog Production," 2015 Conference, August 9-14, 2015, Milan, Italy 212718, International Association of Agricultural Economists.
    9. Xiao, Hongbo & Wang, Jimin & Oxley, Les & Ma, Hengyun, 2012. "The evolution of hog production and potential sources for future growth in China," Food Policy, Elsevier, vol. 37(4), pages 366-377.
    10. Ma, Meilin & Wang, H. Holly & Hua, Yizhou & Qin, Fei & Yang, Jing, 2021. "African swine fever in China: Impacts, responses, and policy implications," Food Policy, Elsevier, vol. 102(C).
    11. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    12. Shuai Chen & Chen Ji & Songqing Jin, 2022. "Costs of an environmental regulation in livestock farming: Evidence from pig production in rural China," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(2), pages 541-563, June.
    13. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    14. 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.
    15. Chen Ji & Ni Zhuo & Songqing Jin, 2023. "Does cooperative membership stabilize farm income volatility? Evidence from the pig sector in China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 15(3), pages 623-641, August.
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