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Farmers’ Willingness to Gather Homesteads and the Influencing Factors—An Empirical Study of Different Geomorphic Areas in Chongqing

Author

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  • Yan Yan

    (School of Geographical Sciences, Southwest University, Chongqing 400715, China
    Western Rural Sustainable Development Laboratory, Chongqing 400715, China)

  • Qingyuan Yang

    (School of Geographical Sciences, Southwest University, Chongqing 400715, China
    Western Rural Sustainable Development Laboratory, Chongqing 400715, China)

  • Kangchuan Su

    (School of National Governance, Southwest University, Chongqing 400715, China)

  • Guohua Bi

    (School of Geographical Sciences, Southwest University, Chongqing 400715, China
    Western Rural Sustainable Development Laboratory, Chongqing 400715, China)

  • Yuanqing Li

    (School of Geographical Sciences, Southwest University, Chongqing 400715, China)

Abstract

Research purpose: to analyze farmers’ willingness to gather homestead and its influencing factors, so as to provide decision-making basis for the rational layout of rural homestead. Methods: questionnaire, logistic model. The results are as follows. (1) Farmers’ willingness to gather homesteads is highest in dam areas, followed by hilly areas, and is lowest in mountainous areas. (2) The respondents’ age, family support ratio, housing structure, whether the access road is paved, and the distance from the main road have significant negative impacts on farmers’ willingness to gather homesteads, while homesteads being idle, the service life of the house, the type of daily energy use, and whether they are far from relatives after relocation have significant positive impacts on farmers’ willingness to gather homesteads. (3) The main influencing factors of farmers’ homestead agglomeration in dam areas are the idle situation of a homestead, housing structure, the service life of the house, and whether they are satisfied with their current homestead residence. (4) The main influencing factors of farmers’ homestead agglomeration in hilly areas are the age of the respondents, the proportion of family workers, and whether they accept the relocation and are far from relatives. (5) The main influencing factors of farmers’ homestead agglomeration in mountainous areas are the age of the respondents, the ratio of family support, the housing structure, and whether the access road is paved. We conclude that there are significant differences in farmers’ willingness to gather homesteads and the influencing factors in different geomorphic areas. Policy makers should formulate differentiated homestead agglomeration optimization schemes and design the optimization paths of homestead agglomeration on the basis of geomorphic classification and subregion.

Suggested Citation

  • Yan Yan & Qingyuan Yang & Kangchuan Su & Guohua Bi & Yuanqing Li, 2022. "Farmers’ Willingness to Gather Homesteads and the Influencing Factors—An Empirical Study of Different Geomorphic Areas in Chongqing," IJERPH, MDPI, vol. 19(9), pages 1-15, April.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:9:p:5252-:d:802291
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    References listed on IDEAS

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    Cited by:

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    3. Xuemei Zhou & Chuanyu Tong & Sifeng Nian & Jia Yan, 2024. "Realization Mechanism of Farmers’ Rights and Interests Protection in the Paid Withdrawal of Rural Homesteads in China—Empirical Analysis Based on Judicial Verdicts," Land, MDPI, vol. 13(8), pages 1-29, July.
    4. Yao Qian & Qingyuan Yang & Haozhe Zhang & Kangchuan Su & Huiming Zhang & Xiaochi Qu, 2022. "The Impact of Farming Households’ Livelihood Vulnerability on the Intention of Homestead Agglomeration: The Case of Zhongyi Township, China," Land, MDPI, vol. 11(8), pages 1-20, August.
    5. Lingling Li & Qianyu Dong & Changjian Li, 2023. "Research on Realization Mechanism of Land Value-Added Benefit Distribution Justice in Rural Homestead Disputes in China—Based on the Perspective of Judicial Governance," Land, MDPI, vol. 12(7), pages 1-28, June.
    6. Tao Xia & Elias G. Carayannis & Stavros Sindakis & Saloome Showkat & Nikos Kanellos, 2024. "Technology transfer for sustainable rural development: evidence from homestead withdrawal with compensation in Chengdu–Chongqing," The Journal of Technology Transfer, Springer, vol. 49(1), pages 303-333, February.
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    8. Yao Luo & Yumei Li & Chen Li & Qun Wu, 2023. "Influence of the Kinship Networks on Farmers’ Willingness to Revitalize Idle Houses," Sustainability, MDPI, vol. 15(13), pages 1-14, June.
    9. Kangchuan Su & Jiang Wu & Lulu Zhou & Hongji Chen & Qingyuan Yang, 2022. "The Functional Evolution and Dynamic Mechanism of Rural Homesteads under the Background of Socioeconomic Transition: An Empirical Study on Macro- and Microscales in China," Land, MDPI, vol. 11(8), pages 1-30, July.

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