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Reciprocal and Symbiotic: Family Farms’ Operational Performance and Long-Term Cooperation of Entities in the Agricultural Industrial Chain—From the Evidence of Xinjiang in China

Author

Listed:
  • Zhiping Huang

    (School of Economics and Management, University of Chinese Academy of Sciences, No. 80 Zhongguancun East Road, Beijing 100190, China
    These authors contributed equally to this work.)

  • Tianran Wang

    (School of Economics and Management, Shihezi University, No. 221 Beisi Road, Shihezi 832003, China
    These authors contributed equally to this work.)

  • Na Li

    (School of Economics and Management, University of Chinese Academy of Sciences, No. 80 Zhongguancun East Road, Beijing 100190, China
    Research Center on Fictitious Economy and Data Science, Chinese Academy of Sciences, No. 80 Zhongguancun East Road, Beijing 100190, China)

Abstract

The family farm is an important entity in the modern agricultural industrial chain. It is of great significance to empirically study its operational performance improvement and sustainable development. This paper introduces symbiosis theory to establish a symbiosis system framework of the family farm industrial chain and analyzes family farms’ operational performance from the view of industrial symbiosis cooperation. We selected 552 agricultural planting family farms in China’s Xinjiang Production and Construction Corps as samples to measure the operational environment and performance of family farms using factor analysis and examining the effects of long-term cooperation among the industrial chain entities on family farms’ operational performance using the ordered probit model. The results show that the long-term cooperation of the family farms with other entities has a significant positive impact on the family farms’ operational performance, which can be enhanced by the improvement of cooperation and moderated by the external environment. Therefore, it is suggested to promote the long-term cooperation between family farms and other industrial chain entities, as well as the industrial environment optimization, to accelerate the healthy and sustainable development of family farms with a continuous, symmetrical, and reciprocal symbiotic model.

Suggested Citation

  • Zhiping Huang & Tianran Wang & Na Li, 2022. "Reciprocal and Symbiotic: Family Farms’ Operational Performance and Long-Term Cooperation of Entities in the Agricultural Industrial Chain—From the Evidence of Xinjiang in China," Sustainability, MDPI, vol. 15(1), pages 1-17, December.
    • Handle: RePEc:gam:jsusta:v:15:y:2022:i:1:p:349-:d:1015000
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    References listed on IDEAS

    as
    1. Zuhui Huang & Qiao Liang, 2018. "Agricultural organizations and the role of farmer cooperatives in China since 1978: past and future," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 10(1), pages 48-64, February.
    2. Wadström, Christoffer & Johansson, Maria & Wallén, Magnus, 2021. "A framework for studying outcomes in industrial symbiosis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    3. Zuhui Huang & Qiao Liang, 2018. "Agricultural organizations and the role of farmer cooperatives in China since 1978: past and future," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 10(1), pages 48-64, February.
    4. Yu, Lili & Zhao, Duanyang & Xue, Zihao & Gao, Yang, 2020. "Research on the use of digital finance and the adoption of green control techniques by family farms in China," Technology in Society, Elsevier, vol. 62(C).
    5. Bertoni, Danilo & Cavicchioli, Daniele & Latruffe, Laure, 2016. "Impact of succession on performance: The case of the Italian family farms," 149th Seminar, October 27-28, 2016, Rennes, France 245166, European Association of Agricultural Economists.
    6. Yinsheng Yang & Qianwei Zhuang & Guangdong Tian & Silin Wei, 2018. "A Management and Environmental Performance Evaluation of China’s Family Farms Using an Ultimate Comprehensive Cross-Efficiency Model (UCCE)," Sustainability, MDPI, vol. 11(1), pages 1-25, December.
    7. Zhigang Chen & Qianyue Meng & Kaixin Yan & Rongwei Xu, 2022. "The Analysis of Family Farm Efficiency and Its Influencing Factors: Evidence from Rural China," Land, MDPI, vol. 11(4), pages 1-19, March.
    8. Gong, Tianchen (Charles) & Battese, George E. & Villano, Renato A., 2019. "Family farms plus cooperatives in China: Technical efficiency in crop production," Journal of Asian Economics, Elsevier, vol. 64(C), pages 1-1.
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