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Intergenerational differences in the homestead policy cognition of farmers within the context of institutional change: empirical evidence from villages in Jiangxi province, China

Author

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  • Ming Li

    (Research Center for Rural Land Resources Utilization and Conservation, Jiangxi Agricultural University)

  • Ni Zhan

    (Research Center for Rural Land Resources Utilization and Conservation, Jiangxi Agricultural University)

  • Ting Zhang

    (Research Center for Rural Land Resources Utilization and Conservation, Jiangxi Agricultural University)

  • Meiqiu Chen

    (Research Center for Rural Land Resources Utilization and Conservation, Jiangxi Agricultural University)

Abstract

A complete understanding of homestead policy is crucial for farmers and is key to China’s rural homestead system reform. However, intergenerational cognitive differences have hindered reform progress as the changes to the system are complex. Based on Distributed Cognition Theory, this study established a theoretical framework to explain the formation of farmers’ homestead policy cognition and constructed an indicator system addressing personal power, regional power, and cultural power dimensions. Based on 2445 questionnaires across 345 villages in 37 counties of Jiangxi province, China, this study employed an OLS regression model to analyze factors influencing intergenerational differences in farmers’ homestead policy cognition and the ISM model to explore the mechanisms and driving forces. First, homestead policy cognition of older generation farmers (OFs) was significantly lower than that of new generation farmers (NFs). Second, personal, regional, and cultural power exerted more significant influence on the homestead policy cognition of OFs, when compared to NFs. OFs who reported higher education, participation in the formulation of village rules and regulations, and acquisition of homestead by application exhibited higher homestead policy cognition. Finally, regional power was found to be the root factor contributing to the formation of homestead policy cognition between the two generations studied. The policy cognition formation mechanism of OFs was found to be “regional power - personal power - cultural power - policy cognition.” Conversely, the policy cognition formation mechanism of NFs was found to be “regional power - cultural power - policy cognition.” These results suggest that government agencies should respect intergenerational cognitive differences, improve the policy publicity system, and adopt targeted measures to address the specific cognitive characteristics of different generations. This study explored the intergenerational differences in farmers’ homestead policy cognition, as well as the mechanisms for their formation, offering insights for rural land system reforms in other countries.

Suggested Citation

  • Ming Li & Ni Zhan & Ting Zhang & Meiqiu Chen, 2025. "Intergenerational differences in the homestead policy cognition of farmers within the context of institutional change: empirical evidence from villages in Jiangxi province, China," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-13, December.
    • Handle: RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-04861-5
    DOI: 10.1057/s41599-025-04861-5
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    References listed on IDEAS

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    1. Zhang, Yuanxia & Halder, Pradipta & Zhang, Xiaoning & Qu, Mei, 2020. "Analyzing the deviation between farmers' Land transfer intention and behavior in China's impoverished mountainous Area: A Logistic-ISM model approach," Land Use Policy, Elsevier, vol. 94(C).
    2. Kong, Xuesong & Liu, Yaolin & Jiang, Ping & Tian, Yasi & Zou, Yafeng, 2018. "A novel framework for rural homestead land transfer under collective ownership in China," Land Use Policy, Elsevier, vol. 78(C), pages 138-146.
    3. Gao, Jinlong & Liu, Yansui & Chen, Jianglong, 2020. "China’s initiatives towards rural land system reform," Land Use Policy, Elsevier, vol. 94(C).
    4. Weizhen Zhan & Zhenwu You, 2024. "Factors influencing villagers’ willingness to participate in grassroots governance: evidence from the Chinese social survey," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-8, December.
    5. Pang, Hua & Ruan, Yang, 2023. "Can information and communication overload influence smartphone app users' social network exhaustion, privacy invasion and discontinuance intention? A cognition-affect-conation approach," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    6. Carolan, Michael, 2018. "Lands changing hands: Experiences of succession and farm (knowledge) acquisition among first-generation, multigenerational, and aspiring farmers," Land Use Policy, Elsevier, vol. 79(C), pages 179-189.
    7. Liu, Runqiu & Jiang, Jian & Yu, Chao & Rodenbiker, Jesse & Jiang, Yongmu, 2021. "The endowment effect accompanying villagers' withdrawal from rural homesteads: Field evidence from Chengdu, China," Land Use Policy, Elsevier, vol. 101(C).
    8. Chen, Hongxia & Zhao, Luming & Zhao, Zhenyu, 2017. "Influencing factors of farmers’ willingness to withdraw from rural homesteads: A survey in zhejiang, China," Land Use Policy, Elsevier, vol. 68(C), pages 524-530.
    9. Lee, Jinkook & Smith, James P., 2014. "Regional disparities in adult height, educational attainment, and late-life cognition: Findings from the Longitudinal Aging Study in India (LASI)," The Journal of the Economics of Ageing, Elsevier, vol. 4(C), pages 26-34.
    10. Wen Fan & Lifang Zhang, 2019. "Does cognition matter? Applying the push‐pull‐mooring model to Chinese farmers' willingness to withdraw from rural homesteads," Papers in Regional Science, Wiley Blackwell, vol. 98(6), pages 2355-2369, December.
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