Analysis of Residents’ Livelihoods in Transformed Shantytowns: A Case Study of a Resource-Based City in China

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Abstract

Research on shantytown transformation in the context of building sustainable human settlements has tended to concentrate on macro and objective factors. However, there is still room for expanding research on the livelihoods of residents in transformed poor communities of resource-based cities. This study is based on household survey data after the coal mine shantytown transformation in Datong, China, and uses the entropy method and Logit regression model to analyze the livelihood level and impact of livelihood capital on the choice of livelihood strategies of the residents after shantytown transformation. Based on the development characteristics of the Datong coal mining community, the traditional sustainable livelihood analysis framework is improved, constructing a livelihood capital evaluation system including natural capital, physical capital, financial capital, social capital, human capital and cultural capital. The research indicates that the livelihoods of the residents after shantytown transformation are in a state of low-value aggregation and differentiation, their livelihood strategies are still dependent on coal mining, financial capital and cultural capital have significant positive impacts on the residents’ livelihood strategies of choosing coal mine-related industries, and males and elderly people have a greater likelihood of choosing coal mine-related industries. This study provides micro-level explanations for the livelihood status and livelihood strategy choices of residents after shantytown transformation in a resource-based city and provides policy enlightenment for local governments on how to promote the sustainable development of residents in coal mining communities.

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Zhao, P., & Xu, J. (2024). Analysis of Residents’ Livelihoods in Transformed Shantytowns: A Case Study of a Resource-Based City in China. Sustainability (Switzerland), 16(4). https://doi.org/10.3390/su16041587

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