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Influencing Factors Analysis on Land-Lost Farmers’ Happiness Based on the Rough DEMATEL Method

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  • Lixia Liu
  • Tingting Wang
  • Lei Xie
  • Xueli Zhan

Abstract

In this paper, fifteen indicators from four dimensions are selected to construct an evaluation system for the happiness of land-lost farmers. The factors affecting the happiness of land-lost farmers are analyzed using the rough DEMATEL method. The results show that land expropriation compensation (F6) and job stability (F7) are the driving factors for improving the happiness of land-lost farmers. The government can improve the social environment policies, such as land acquisition, social security, and employment to influence other factors and improve the level of happiness of land-losing farmers. This study has important guiding significance and reference value for the reform of China’s land expropriation, the protection of land-lost farmers’ rights and interests and the improvement of their happiness, and the maintenance of social harmony and stability.

Suggested Citation

  • Lixia Liu & Tingting Wang & Lei Xie & Xueli Zhan, 2020. "Influencing Factors Analysis on Land-Lost Farmers’ Happiness Based on the Rough DEMATEL Method," Discrete Dynamics in Nature and Society, Hindawi, vol. 2020, pages 1-10, March.
    • Handle: RePEc:hin:jnddns:6439476
    DOI: 10.1155/2020/6439476
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    Cited by:

    1. Gunawan Prayitno & Ainul Hayat & Achmad Efendi & Hagus Tarno & Fikriyah & Septia Hana Fauziah, 2022. "Structural Model of Social Capital and Quality of Life of Farmers in Supporting Sustainable Agriculture (Evidence: Sedayulawas Village, Lamongan Regency-Indonesia)," Sustainability, MDPI, vol. 14(19), pages 1-18, September.
    2. Kumar, Pankaj & Kumar, Parveen & Garg, Ramesh Kumar, 2021. "A study on farmers' satisfaction and happiness after the land sale for urban expansion in India," Land Use Policy, Elsevier, vol. 109(C).
    3. Xusen Zhu & Chaofu Wei & Fengtai Zhang & Junyi Zhang & Yuedong Xiao & Xingyu Yang, 2022. "Influencing Factors of Farmers’ Land Circulation in Mountainous Chongqing in China Based on A Multi-Class Logistic Model," Sustainability, MDPI, vol. 14(12), pages 1-16, June.

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