Coupling Coordination Between Livelihood Resilience and Ecological Livability for Farming Households Relocated from Mining-Under Villages in Eastern China

The application of livelihood resilience theory in mining-under village relocation areas, coupled with the assessment of the coupling coordination degree between farming household livelihood resilience and ecological livability, is crucial for advancing sustainable development in mining regions and revitalizing rural communities. To examine whether a synergistic enhancement effect exists between the livelihood resilience and ecological livability of relocated farming households, this study utilizes a dataset of 1027 survey responses from farming households in typical mining-under-relocated villages within the eastern plain mining region of China. A measurement index system for farming household livelihood resilience was developed, encompassing three dimensions: buffering capacity, self-organization capacity, and learning capacity. Simultaneously, an evaluation index system for farming household ecological livability was constructed, focusing on three key dimensions: green production, green living, and green ecology. Using these frameworks, the coupling coordination degree between farming household livelihood resilience and ecological livability, along with its influencing factors, was analyzed. The findings reveal the following: (1) The overall livelihood resilience of relocated farming households in mining-under villages is relatively low, with the ranking being buffering capacity > learning capability > self-organization ability. The central village aggregation model demonstrates significantly greater resilience compared to the mine-village integration model. (2) The ecological livability across different relocation models is generally high, and farming households in the town-dependent village construction model, the central village aggregation model, and the suburban community model exhibit significantly higher ecological livability levels compared to those in the mine-village integration model. (3) The coupling coordination degree between livelihood resilience and ecological livability varies across relocation modes, with most modes demonstrating moderate to high-quality coordination. (4) Leadership potential and the presence of water-flush toilets are the most significant factors influencing the coupling coordination degree between livelihood resilience and ecological livability. This study provides valuable insights into the interplay between livelihood resilience and ecological livability in relocated farming households, offering practical implications for sustainable development and rural revitalization in mining regions.

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Publication Details

Journal
Land
Published
2025-06-07
DOI
https://doi.org/10.3390/land14061233
Primary Topic
Mining and Resource Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Coupling Coordination Between Livelihood Resilience and Ecological Livability for Farming Households Relocated from Mining-Under Villages in Eastern China

Peijun Wang, Yan Li, Yuan Ren, Jing Wang et al.
Land
Mining and Resource Management
article

Coupling Coordination Between Livelihood Resilience and Ecological Livability for Farming Households Relocated from Mining-Under Villages in Eastern China

Peijun Wang, Yan Li, Yuan Ren, Jing Wang, Juyan Shi
article en

Abstract

The application of livelihood resilience theory in mining-under village relocation areas, coupled with the assessment of the coupling coordination degree between farming household livelihood resilience and ecological livability, is crucial for advancing sustainable development in mining regions and revitalizing rural communities. To examine whether a synergistic enhancement effect exists between the livelihood resilience and ecological livability of relocated farming households, this study utilizes a dataset of 1027 survey responses from farming households in typical mining-under-relocated villages within the eastern plain mining region of China. A measurement index system for farming household livelihood resilience was developed, encompassing three dimensions: buffering capacity, self-organization capacity, and learning capacity. Simultaneously, an evaluation index system for farming household ecological livability was constructed, focusing on three key dimensions: green production, green living, and green ecology. Using these frameworks, the coupling coordination degree between farming household livelihood resilience and ecological livability, along with its influencing factors, was analyzed. The findings reveal the following: (1) The overall livelihood resilience of relocated farming households in mining-under villages is relatively low, with the ranking being buffering capacity > learning capability > self-organization ability. The central village aggregation model demonstrates significantly greater resilience compared to the mine-village integration model. (2) The ecological livability across different relocation models is generally high, and farming households in the town-dependent village construction model, the central village aggregation model, and the suburban community model exhibit significantly higher ecological livability levels compared to those in the mine-village integration model. (3) The coupling coordination degree between livelihood resilience and ecological livability varies across relocation modes, with most modes demonstrating moderate to high-quality coordination. (4) Leadership potential and the presence of water-flush toilets are the most significant factors influencing the coupling coordination degree between livelihood resilience and ecological livability. This study provides valuable insights into the interplay between livelihood resilience and ecological livability in relocated farming households, offering practical implications for sustainable development and rural revitalization in mining regions.

LandVol. 14(6)
Chinese Academy of Sciences (CN), China University of Mining and Technology (CN), Institute of Geographic Sciences and Natural Resources Research (CN)
China Postdoctoral Science Foundation
Openalex Percentile: Top 87%
Mining and Resource Management
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