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The Impact of Government Support and Social Networks on Peasants’ Effective Participation in High-Standard Farmland Construction: Evidence from Yancheng City, China

Author

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  • Huawei Zheng

    (School of Humanities and Social Development, Nanjing Agricultural University, Nanjing 210095, China
    Jin Shanbao Institute for Agriculture & Rural Development, Nanjing 210095, China)

  • Kunyu Lou

    (School of Humanities and Social Development, Nanjing Agricultural University, Nanjing 210095, China)

  • Yuanyuan Yang

    (School of Humanities and Social Development, Nanjing Agricultural University, Nanjing 210095, China)

  • Han Wang

    (School of Humanities and Social Development, Nanjing Agricultural University, Nanjing 210095, China)

  • Yong Lu

    (School of Humanities and Social Development, Nanjing Agricultural University, Nanjing 210095, China)

Abstract

The effective participation of peasants can raise the quality of high-standard farmland construction (HSFC) in China. How to avoid inefficient participation is an urgent issue that needs to be solved in the field of HSFC. However, the factors that influence peasants’ effective participation in the HSFC remains to be further studied. This study used factor analysis and a comprehensive evaluation method to calculate social networks and the level of peasants’ effective participation in HSFC based on a survey dataset of 347 peasants in Yancheng City, China. The influence of information support, incentive support, constraint support, network interaction, network trust, and network norms on the level of peasants’ effective participation in HSFC was analyzed using an ordered logistic model. The results of the study indicate that: (1) The overall level of peasants’ effective participation in the HSFC is at a “medium” level, and the level of peasants’ effective participation needs to be further raised. (2) Government support considerably influences peasants’ effective participation in HSFC. Information support, incentive support, and constraint support significantly impact peasants’ effective participation in HSFC. (3) Social networks possess a significant positive impact on the level of peasants’ effective participation in HSFC, with the core variables contributing to peasants’ effective participation in the order of network interaction, network trust, and network norms. (4) Peasants’ cognition significantly impacts peasants’ effective participation in HSFC. Therefore, to enhance the level of peasants’ effective participation in HSFC, it is suggested to further improve government information support, incentive support, and constraint support; strengthen network interaction, enhance network trust, improve network norms, and effectively play the role of social networks; and to strengthen peasants’ education and training.

Suggested Citation

  • Huawei Zheng & Kunyu Lou & Yuanyuan Yang & Han Wang & Yong Lu, 2023. "The Impact of Government Support and Social Networks on Peasants’ Effective Participation in High-Standard Farmland Construction: Evidence from Yancheng City, China," Land, MDPI, vol. 12(5), pages 1-20, April.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:5:p:955-:d:1132831
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    References listed on IDEAS

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    1. Wenxiong Wang & Lihong Yu & Wei Zhou & David W. Marcouiller & Bin Luo, 2018. "Estimating the mechanism of farmers’ effective participation in Chinese rural land consolidation," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 11(1), pages 100-124, July.
    2. Rui Zhang & Huawei Zheng & Hui Zhang & Feng Hu, 2020. "Study on the Influence of Social Capital on Farmers’ Participation in Rural Domestic Sewage Treatment in Nanjing, China," IJERPH, MDPI, vol. 17(7), pages 1-11, April.
    3. Oriana Bandiera & Imran Rasul, 2006. "Social Networks and Technology Adoption in Northern Mozambique," Economic Journal, Royal Economic Society, vol. 116(514), pages 869-902, October.
    4. Szymon Zaleski & Rafał Michalski, 2021. "Success Factors in Sustainable Management of IT Service Projects: Exploratory Factor Analysis," Sustainability, MDPI, vol. 13(8), pages 1-28, April.
    5. Takayama, Taisuke & Horibe, Atsushi & Nakatani, Tomoaki, 2018. "Women and farmland preservation: The impact of women’s participation in farmland management governance in Japan," Land Use Policy, Elsevier, vol. 77(C), pages 116-125.
    6. Qianhui Ma & Shaofeng Zheng & Peng Deng, 2022. "Impact of Internet Use on Farmers’ Organic Fertilizer Application Behavior under the Climate Change Context: The Role of Social Network," Land, MDPI, vol. 11(9), pages 1-19, September.
    7. Feng Dong & Yuling Pan & Xiaojie Zhang & Ziyuan Sun, 2020. "How to Evaluate Provincial Ecological Civilization Construction? The Case of Jiangsu Province, China," IJERPH, MDPI, vol. 17(15), pages 1-20, July.
    8. Qiang Liu & Toshiaki Yamada & Hang Liu & Li Lin & Qiaoling Fang, 2022. "Healthy Behavior and Environmental Behavior Correlate with Bicycle Commuting," IJERPH, MDPI, vol. 19(6), pages 1-12, March.
    9. Haibo Ruan & Jun Chen & Chao Wang & Wendong Xu & Jiayi Tang, 2022. "Social Network, Sense of Responsibility, and Resident Participation in China’s Rural Environmental Governance," IJERPH, MDPI, vol. 19(11), pages 1-23, May.
    10. Jiayi Tang & Haibo Ruan & Chao Wang & Wendong Xu & Changgui Li & Xuan Dong, 2022. "Social Network, Cognition and Participation in Rural Health Governance," IJERPH, MDPI, vol. 19(5), pages 1-17, March.
    11. Rui Nan & Fan Ouyang, 2020. "Influence of Social Networks on Citizens’ Willingness to Participate in Social Governance: Evidence from China," Complexity, Hindawi, vol. 2020, pages 1-16, October.
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