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Post-Resettlement Support Policies, Psychological Factors, and Farmers’ Homestead Exit Intention and Behavior

Author

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  • Peng Shi

    (College of Economics and Management, Northwest A&F University, Yangling, Xianyang 712100, China
    Department of Cultural Geography, Faculty of Spatial Sciences, University of Groningen, 9700 AV Groningen, The Netherlands)

  • Frank Vanclay

    (Department of Cultural Geography, Faculty of Spatial Sciences, University of Groningen, 9700 AV Groningen, The Netherlands)

  • Jin Yu

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

Abstract

Ex situ poverty alleviation relocation (ESPAR) is a Chinese government program created to address rural poverty and land management issues. Affecting around 10 million people, the process involves encouraging smallholder farmers to leave their rural homesteads and move to new housing. By consolidating people into medium density accommodation, the amount of land available for other purposes can be increased. However, some farmers were reluctant to move, and many of those who accepted new housing failed to demolish their homestead and rehabilitate the land as required. This paper applies the ‘extended theory of planned behavior’ to examine the factors that influence farmers’ exit intention and behavior. Face-to-face interviews were carried out in Southern Shaanxi Province, China. Data relating to 830 farmers were analyzed using Structural Equation Modelling. Our most important finding is that farmers had a poor perception of the post-relocation support, and this retarded their exit intention and behavior. We conclude that it is essential to improve post-relocation support, enhance the autonomy of farmers, and formulate relocation plans according to people’s age and likely future occupation.

Suggested Citation

  • Peng Shi & Frank Vanclay & Jin Yu, 2022. "Post-Resettlement Support Policies, Psychological Factors, and Farmers’ Homestead Exit Intention and Behavior," Land, MDPI, vol. 11(2), pages 1-22, February.
  • Handle: RePEc:gam:jlands:v:11:y:2022:i:2:p:237-:d:742543
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    References listed on IDEAS

    as
    1. Tan, Chin-Seang & Ooi, Hooi-Yin & Goh, Yen-Nee, 2017. "A moral extension of the theory of planned behavior to predict consumers’ purchase intention for energy-efficient household appliances in Malaysia," Energy Policy, Elsevier, vol. 107(C), pages 459-471.
    2. Quintal, Vanessa Ann & Lee, Julie Anne & Soutar, Geoffrey N., 2010. "Risk, uncertainty and the theory of planned behavior: A tourism example," Tourism Management, Elsevier, vol. 31(6), pages 797-805.
    3. Gao, Wenwen & de Vries, Walter Timo & Zhao, Qianyu, 2021. "Understanding rural resettlement paths under the increasing versus decreasing balance land use policy in China," Land Use Policy, Elsevier, vol. 103(C).
    4. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    5. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    6. Levinthal, Daniel & March, James G., 1981. "A model of adaptive organizational search," Journal of Economic Behavior & Organization, Elsevier, vol. 2(4), pages 307-333, December.
    7. Timothy Besley & Robin Burgess, 2000. "Land Reform, Poverty Reduction, and Growth: Evidence from India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(2), pages 389-430.
    8. Zhou, Yang & Li, Xunhuan & Liu, Yansui, 2020. "Rural land system reforms in China: History, issues, measures and prospects," Land Use Policy, Elsevier, vol. 91(C).
    9. Cheng, Long & Brown, Gregory & Liu, Yan & Searle, Glen, 2020. "An evaluation of contemporary China’s land use policy – The Link Policy: A case study from Ezhou, Hubei Province," Land Use Policy, Elsevier, vol. 91(C).
    10. Oliver, Richard L & Bearden, William O, 1985. "Crossover Effects in the Theory of Reasoned Action: A Moderating Influence Attempt," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(3), pages 324-340, December.
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    Cited by:

    1. Ying Chen & Xiaolu Ni & Yajia Liang, 2022. "The Influence of External Environment Factors on Farmers’ Willingness to Withdraw from Rural Homesteads: Evidence from Wuhan and Suizhou City in Central China," Land, MDPI, vol. 11(9), pages 1-13, September.
    2. Zehua Wang & Fachao Liang & Sheng-Hau Lin, 2023. "Can socially sustainable development be achieved through homestead withdrawal? A hybrid multiple-attributes decision analysis," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-18, December.
    3. Ranran Shi & Ling Hou & Binghui Jia & Yaya Jin & Weiwei Zheng & Xiangdong Wang & Xianhui Hou, 2022. "Effect of Policy Cognition on the Intention of Villagers’ Withdrawal from Rural Homesteads," Land, MDPI, vol. 11(8), pages 1-17, August.
    4. Xiuling Ding & Qian Lu & Lipeng Li & Apurbo Sarkar & Hua Li, 2023. "Does Labor Transfer Improve Farmers’ Willingness to Withdraw from Farming?—A Bivariate Probit Modeling Approach," Land, MDPI, vol. 12(8), pages 1-27, August.
    5. Kangchuan Su & Jiang Wu & Yan Yan & Zhongxun Zhang & Qingyuan Yang, 2022. "The Functional Value Evolution of Rural Homesteads in Different Types of Villages: Evidence from a Chinese Traditional Agricultural Village and Homestay Village," Land, MDPI, vol. 11(6), pages 1-22, June.
    6. Jing Wang & Kai Zhao & Yue Cui & Hui Cao, 2022. "Formal and Informal Institutions in Farmers’ Withdrawal from Rural Homesteads in China: Heterogeneity Analysis Based on the Village Location," Land, MDPI, vol. 11(10), pages 1-19, October.
    7. 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.
    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. Yuangang Xu & Guoqing Shi & Yingping Dong, 2022. "Effects of the Post-Relocation Support Policy on Livelihood Capital of the Reservoir Resettlers and Its Implications—A Study in Wujiang Sub-Stream of Yangtze River of China," Sustainability, MDPI, vol. 14(5), pages 1-22, February.

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