Factors Influencing Livelihood Resilience of Households Resettled from Coal Mining Areas and Their Measurement—A Case Study of Huaibei City

Peijun Wang (), Jing Wang, Chunbo Zhu, Yan Li, Weijun Sun and Jinyi Li
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Peijun Wang: Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Jing Wang: School of Public Policy and Management, China University of Mining and Technology, Xuzhou 221116, China
Chunbo Zhu: School of Public Policy and Management, China University of Mining and Technology, Xuzhou 221116, China
Yan Li: School of Public Policy and Management, China University of Mining and Technology, Xuzhou 221116, China
Weijun Sun: School of Public Policy and Management, China University of Mining and Technology, Xuzhou 221116, China
Jinyi Li: School of Public Policy and Management, China University of Mining and Technology, Xuzhou 221116, China

Land, 2023, vol. 13, issue 1, 1-19

Abstract: The application of livelihood resilience theory to villages that have been resettled due to coal mining provides insights into the levels and impediments of livelihood resilience under different resettlement models. Such an exploration holds critical significance for enhancing the livelihood resilience of the resettled households and promoting sustainable development in coal mining areas. Grounded in the theoretical framework of livelihood resilience and considering the realities of mining areas, by referring to existing studies, this study devises an evaluative index system. Utilizing the TOPSIS model to calculate the level of livelihood resilience, and we delve into the impediments to livelihood resilience of households that resettled under different models using the obstacle model. The results indicate the following: (1) Overall, the level of livelihood resilience in areas resettled due to coal mining of Huaibei City is low. Significant disparities exist among the households resettled under different models in terms of buffering capacity, self-organizing ability, and learning ability. (2) Factors such as the quantity of labor, policy awareness, and participation in village collective meetings significantly influence households’ livelihood resilience, albeit to varying degrees across different resettlement models. (3) Future interventions should address the challenges faced by the four types of resettled households by increasing employment opportunities, intensifying policy advocacy, and augmenting investments in education resources to elevate the livelihood standards of various households.

Keywords: coal mining; village resettlement mode; households; livelihood resilience; TOPSIS model; Huaibei City (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
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