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Impact Effects of Cooperative Participation on the Adoption Behavior of Green Production Technologies by Cotton Farmers and the Driving Mechanisms

Author

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  • Chengmin Li

    (School of Economics and Management, Xinjiang Agricultural University, Urumqi 830052, China
    These authors contributed equally to this work.)

  • Haoyu Deng

    (School of Economics and Management, Xinjiang Agricultural University, Urumqi 830052, China
    These authors contributed equally to this work.)

  • Guoxin Yu

    (School of Economics and Management, Xinjiang Agricultural University, Urumqi 830052, China)

  • Rong Kong

    (College of Economics and Management, Northwest A&F University, Xianyang 712100, China)

  • Jian Liu

    (School of Economics and Management, Xinjiang Agricultural University, Urumqi 830052, China)

Abstract

Nudging the adoption of agricultural green production technologies (AGPTs) by cotton farmers is a practical need to implement the national “green development” strategy. Based on the micro-survey data of 502 cotton farmers, this paper empirically analyzed the influence and driving mechanism of cotton farmers’ participation in cooperatives on their adoption of green production technology from the perspective of their inner cognition and external regulation by using the propensity score matching (PSM) model and the intermediary effect model. The study found that (1) the importance of agricultural green production technology to cotton farmers was in the order of soil testing and formula fertilization technology, green prevention and control technology, deep tillage technology, water-saving irrigation technology, new variety technology, and straw-returning technology. (2) Participation in cooperatives can significantly improve the adoption of agricultural green production technologies by cotton farmers, with an increase of about 27.16%, and the improvement effect on technology-intensive production links is pronounced. (3) By improving the inner cognition and external regulation of cotton farmers, cooperatives can enhance the green endogenous power of cotton farmers, improve environmental external constraints, and become an intermediary path to guide cotton farmers to adopt agricultural green production technology.

Suggested Citation

  • Chengmin Li & Haoyu Deng & Guoxin Yu & Rong Kong & Jian Liu, 2024. "Impact Effects of Cooperative Participation on the Adoption Behavior of Green Production Technologies by Cotton Farmers and the Driving Mechanisms," Agriculture, MDPI, vol. 14(2), pages 1-25, January.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:2:p:213-:d:1328378
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    References listed on IDEAS

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    1. Guoqun Ma & Minjuan Li & Yuxi Luo & Tuanbiao Jiang, 2023. "Agri-Ecological Policy, Human Capital and Agricultural Green Technology Progress," Agriculture, MDPI, vol. 13(5), pages 1-14, April.
    2. Feike, Til & Khor, Ling Yee & Mamitimin, Yusuyunjiang & Ha, Nan & Li, Lin & Abdusalih, Nurbay & Xiao, Haifeng & Doluschitz, Reiner, 2017. "Determinants of cotton farmers’ irrigation water management in arid Northwestern China," Agricultural Water Management, Elsevier, vol. 187(C), pages 1-10.
    3. Min Wan & Haibo Kuang & Yanbo Yang & Bi He & Sue Zhao & Ying Wang & Jingyi Huo, 2023. "Evaluation of Agricultural Green Development Based on Gini Coefficient and Hesitation Fuzzy Multi-Attribute Decision-Making: The Case of China," Agriculture, MDPI, vol. 13(3), pages 1-15, March.
    4. Pan, Dan & Zhang, Ning, 2018. "The Role of Agricultural Training on Fertilizer Use Knowledge: A Randomized Controlled Experiment," Ecological Economics, Elsevier, vol. 148(C), pages 77-91.
    5. Xinyue Qu & Wenfeng Zhou & Jia He & Dingde Xu, 2023. "Land Certification, Adjustment Experience, and Green Production Technology Acceptance of Farmers: Evidence from Sichuan Province, China," Land, MDPI, vol. 12(4), pages 1-20, April.
    6. Kindie GETNET & Tsegaye ANULLO, 2012. "Agricultural Cooperatives And Rural Livelihoods: Evidence From Ethiopia," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 83(2), pages 181-198, June.
    7. Emmanuel Olatunbosun Benjamin & Matthias Blum & Maarten Punt, 2016. "The impact of extension and ecosystem services on smallholder’s credit constraint," Journal of Developing Areas, Tennessee State University, College of Business, vol. 50(1), pages 333-350, January-M.
    8. Chunfang Yang & Hengyuan Zeng & Yifeng Zhang, 2022. "Are Socialized Services of Agricultural Green Production Conducive to the Reduction in Fertilizer Input? Empirical Evidence from Rural China," IJERPH, MDPI, vol. 19(22), pages 1-16, November.
    9. 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.
    10. Shilei Cui & Yajuan Li & Xiaoqiang Jiao & Dong Zhang, 2022. "Hierarchical Linkage between the Basic Characteristics of Smallholders and Technology Awareness Determines Small-Holders’ Willingness to Adopt Green Production Technology," Agriculture, MDPI, vol. 12(8), pages 1-17, August.
    11. Lei Luo & Dakuan Qiao & Ruixin Zhang & Chenhao Luo & Xinhong Fu & Yuying Liu, 2022. "Research on the Influence of Education of Farmers’ Cooperatives on the Adoption of Green Prevention and Control Technologies by Members: Evidence from Rural China," IJERPH, MDPI, vol. 19(10), pages 1-17, May.
    12. Yunlong Sui & Qiang Gao, 2023. "Farmers’ Endowments, Technology Perception and Green Production Technology Adoption Behavior," Sustainability, MDPI, vol. 15(9), pages 1-18, April.
    13. Qianchun Dai & Kequn Cheng, 2022. "What Drives the Adoption of Agricultural Green Production Technologies? An Extension of TAM in Agriculture," Sustainability, MDPI, vol. 14(21), pages 1-18, November.
    14. Huang, Jikun & Huang, Zhurong & Jia, Xiangping & Hu, Ruifa & Xiang, Cheng, 2015. "Long-term reduction of nitrogen fertilizer use through knowledge training in rice production in China," Agricultural Systems, Elsevier, vol. 135(C), pages 105-111.
    15. Deng, Hengshan & Huang, Jikun & Xu, Zhigang & Rozelle, Scott, 2010. "Policy support and emerging farmer professional cooperatives in rural China," China Economic Review, Elsevier, vol. 21(4), pages 495-507, December.
    16. Elahi, Ehsan & Abid, Muhammad & Zhang, Liqin & ul Haq, Shams & Sahito, Jam Ghulam Murtaza, 2018. "Agricultural advisory and financial services; farm level access, outreach and impact in a mixed cropping district of Punjab, Pakistan," Land Use Policy, Elsevier, vol. 71(C), pages 249-260.
    17. Shiyao Zhou & Chen Qing & Jia He & Dingde Xu, 2023. "Impact of Agricultural Division of Labor on Fertilizer Reduction Application: Evidence from Western China," IJERPH, MDPI, vol. 20(5), pages 1-17, February.
    18. Gao Yu & Hu Xiang, 2021. "Rural E-commerce development and farmers’ digital credit behavior: Evidence from China family panel studies," PLOS ONE, Public Library of Science, vol. 16(10), pages 1-21, October.
    19. Chong Dong & Hainan Wang & Wenjin Long & Jiujie Ma & Yi Cui, 2023. "Can Agricultural Cooperatives Promote Chinese Farmers’ Adoption of Green Technologies?," IJERPH, MDPI, vol. 20(5), pages 1-17, February.
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