Search

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. [ABSTRACT FROM AUTHOR]

Applying the livelihood resilience theory to the relocation of coal mining villages, the present study explored the levels and the factors hindering livelihood resilience among farmers under different relocation models. This has important implications for enhancing the livelihood resilience of farmers during coal mining relocation and promoting rural revitalization in coal mining areas. Based on the livelihood resilience framework and the actual conditions of mining areas, we formulated an evaluation index system, employed the stratified mean square deviation method to determine weights, used the comprehensive index method to assess the livelihood resilience level, and investigated the obstacles to livelihood resilience among farmers under different relocation models using the random forest model. The results indicate the following: first, the overall livelihood resilience level in the coal mining relocation area of Huaibei City is low and is not significantly different among the four types, with the ranking being as follows: central village agglomeration type > township-centered village construction type > mining-village combination type > suburban community type. Significant differences exist in the indicators and dispersion levels of the resilience dimensions of buffering capacity, self-organization ability, and learning ability among farmers under different relocation models. Second, factors such as household deposits, labor force quantity, social networks, and participation in village collective meetings significantly affect the livelihood resilience level of farmers. However, the degree of influence varies under different relocation models. Third, improvements such as increasing employment opportunities, investing in education resources, and building social networks are necessary to improve farmers' livelihoods under the four types of relocation models. [ABSTRACT FROM AUTHOR]

Mining activities have contributed to the growth of the city, but also raised non-negligible eco-geological environmental issues that threaten ecological safety. Ecological security pattern (ESP), as an important grip on the ecological restoration and protection of national land space, helps to balance mining activities and ecological protection in coal resource-based cities. Taking Huaibei City as a study area, we applied the ESP research paradigm: an ecosystem "function-structure" conceptual framework was developed to identify ecological sources, the "coal mining subsidence—economic activities" framework was used to revise ecological resistance surface, and the circuit theory was used to extract ecological corridors. Then, key areas for ecological restoration and protection were identified, including ecological pinch points, barrier points, and fracture points. Finally, the pattern and strategies for ecological restoration and protection were proposed. Study results show that there were 51 ecological sources, covering an area of 152.75 km2; 111 ecological corridors were extracted with 6000 as truncation threshold; 17 pinch points, 75 barrier points, and 117 fracture points were identified. Ecological restoration and protection patterns of "one axis, two shields, four zones, eight belts and multiple corridors", and strategies for key areas were proposed. The results of the study are important for the sustainable development of coal-resource-based cities. [ABSTRACT FROM AUTHOR]