IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2022i1p349-d1015000.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/1/349/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/1/349/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wadström, Christoffer & Johansson, Maria & Wallén, Magnus, 2021. "A framework for studying outcomes in industrial symbiosis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    2. 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.
    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. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wen Xiang & Jianzhong Gao, 2023. "Do Not Be Anticlimactic: Farmers’ Behavior in the Sustainable Application of Green Agricultural Technology—A Perceived Value and Government Support Perspective," Agriculture, MDPI, vol. 13(2), pages 1-24, January.
    2. Qiao Liang & Kangwei Ma & Wenhao Liu, 2023. "The role of farmer cooperatives in promoting environmentally sustainable agricultural development in China: A review," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 94(3), pages 741-759, September.
    3. Hongyun Zheng & Puneet Vatsa & Wanglin Ma & Dil Bahadur Rahut, 2023. "Does agricultural cooperative membership influence off‐farm work decisions of farm couples?," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 94(3), pages 831-855, September.
    4. Jie Yu & Fei You & Jian Wang & Zishan Wang, 2023. "Evolution Modes of Chili Pepper Industry Clusters under the Perspective of Social Network—An Example from Xinfu District, Xinzhou, Shanxi Province," Sustainability, MDPI, vol. 15(6), pages 1-14, March.
    5. Rihong Zhang & Zejun Huang & Yuling Zhang & Zhong Xue & Xiaomin Li, 2023. "MSGV-YOLOv7: A Lightweight Pineapple Detection Method," Agriculture, MDPI, vol. 14(1), pages 1-16, December.
    6. Lei Wu & Chuanjian Li & Yang Gao, 2022. "Regional agricultural cooperatives and subjective wellbeing of rural households in China," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(S2), pages 138-158, November.
    7. Xuelan Li & Rui Guan, 2023. "How Does Agricultural Mechanization Service Affect Agricultural Green Transformation in China?," IJERPH, MDPI, vol. 20(2), pages 1-23, January.
    8. Feifei Chen & Zhigang Xu & Yufeng Luo, 2023. "False prosperity: Rethinking government support for farmers’ cooperatives in China," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 94(3), pages 905-920, September.
    9. Lishi Mao & Junfeng Song & Siyuan Xu & Degui Yu, 2023. "Impact of Digital Platform Organization on Reducing Green Production Risk to Tackle COVID-19: Evidence from Farmers in Jiangsu China," Agriculture, MDPI, vol. 13(1), pages 1-16, January.
    10. Yuying Liu & Ruiling Shi & Yiting Peng & Wei Wang & Xinhong Fu, 2022. "Impacts of Technology Training Provided by Agricultural Cooperatives on Farmers’ Adoption of Biopesticides in China," Agriculture, MDPI, vol. 12(3), pages 1-17, February.
    11. Yang Zou & Qingbin Wang, 2022. "Impacts of farmer cooperative membership on household income and inequality: Evidence from a household survey in China," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 10(1), pages 1-17, December.
    12. Wencheng Li & Lei Wang & Qi Wan & Weijia You & Shaowen Zhang, 2022. "A Configurational Analysis of Family Farm Management Efficiency: Evidence from China," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
    13. Wei Wei & Guanyi Yin & Shuai Xie & Qingzhi Sun & Zhan Zhang & Guanghao Li, 2023. "The Spatio-Temporal Patterns and Influencing Factors of Different New Agricultural Business Entities in China—Based on POI Data from 2012 to 2021," Agriculture, MDPI, vol. 13(8), pages 1-26, July.
    14. Yanan Huang & Xu Li & Guangsheng Zhang, 2021. "The Impact of Technology Perception and Government Support on E-Commerce Sales Behavior of Farmer Cooperatives: Evidence From Liaoning Province, China," SAGE Open, , vol. 11(2), pages 21582440211, June.
    15. Yu, Peiheng & Fennell, Shailaja & Chen, Yiyun & Liu, Hui & Xu, Lu & Pan, Jiawei & Bai, Shaoyun & Gu, Shixiang, 2022. "Positive impacts of farmland fragmentation on agricultural production efficiency in Qilu Lake watershed: Implications for appropriate scale management," Land Use Policy, Elsevier, vol. 117(C).
    16. Li, Xinyi & Ito, Junichi, 2021. "An empirical study of land rental development in rural Gansu, China: The role of agricultural cooperatives and transaction costs," Land Use Policy, Elsevier, vol. 109(C).
    17. Nan Chen & Xinglong Yang & Nicola Shadbolt, 2020. "The Balanced Scorecard as a Tool Evaluating the Sustainable Performance of Chinese Emerging Family Farms—Evidence from Jilin Province in China," Sustainability, MDPI, vol. 12(17), pages 1-27, August.
    18. Linwei Wang & Yixin Hu & Rong Kong, 2023. "The Impact of Bancassurance Interaction on the Adoption Behavior of Green Production Technology in Family Farms: Evidence from China," Land, MDPI, vol. 12(5), pages 1-26, April.
    19. Hongyu Wang & Apurbo Sarkar & Lu Qian, 2021. "Evaluations of the Roles of Organizational Support, Organizational Norms and Organizational Learning for Adopting Environmentally Friendly Technologies: A Case of Kiwifruit Farmers’ Cooperatives of Me," Land, MDPI, vol. 10(3), pages 1-23, March.
    20. Honghua Han & Jason Xiong & Kexin Zhao, 2022. "Digital inclusion in social media marketing adoption: the role of product suitability in the agriculture sector," Information Systems and e-Business Management, Springer, vol. 20(4), pages 657-683, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2022:i:1:p:349-:d:1015000. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.