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| 西部民族地区脱贫人口生计韧性的测度与评价 |
| Measurement and Evaluation of the Livelihood Resilience of the Poverty-stricken Population in Western Ethnic Areas |
| 投稿时间：2024-08-08 修订日期：2024-12-16 |
| DOI： |
| 中文关键词: 西部民族地区 脱贫人口 生计韧性 返贫风险预防 |
| 英文关键词:Chinese western ethnic areas Poverty-stricken population Livelihood resilience Risk prevention of poverty-returning |
| 基金项目:国家自然科学基金项目面上项目 |
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| 中文摘要: |
| 基于脱贫攻坚后我国“三农”工作重心历史性转移的现实背景，构建西部民族地区脱贫人口生计韧性评价体系，运用BP神经网络和因子分析相结合的方法，对凉山彝族自治州稳定脱贫人口和脱贫监测人口的生计韧性进行综合测度与评价。研究发现：样本区域脱贫人口生计韧性整体较为适中，但区域之间、区域内部不同类型脱贫人口的生计韧性强度存在差异；生计资本的韧性是影响凉山州脱贫人口整体生计韧性的关键因素，其中资金资本的韧性不足是两类脱贫人口共同面临的主要脆弱性风险，但在具体类型上存在差异；样本区域稳定脱贫人口的市场环境韧性相对较低、政策环境韧性较高，而监测脱贫人口的市场环境韧性相对较高；样本区域稳定脱贫人口的生计策略韧性整体上高于监测脱贫人口，前者在生产经营方面的韧性较强，而后者在迁移发展方面的韧性较高。为此，应依据生计韧性脆弱性风险的多元性和非线性特征，创新思考西部民族地区脱贫人口生计韧性提升的精准举措及返贫风险预防方案。 |
| 英文摘要: |
| In the context of the historic shift in the focus of China""s "three rural issues" following the poverty alleviation efforts, this study constructs a livelihood resilience evaluation system for the post-poverty alleviation population in the western ethnic regions. By integrating the Backpropagation Neural Network (BPNN) and Factor Analysis, a comprehensive measurement and evaluation of the livelihood resilience of the stable poverty alleviation population and the poverty monitoring population in the Liangshan Yi Autonomous Prefecture are conducted. The findings reveal that: the overall livelihood resilience of the post-poverty alleviation population in the sample area is moderate, yet there are differences in the intensity of livelihood resilience among different regions and among different types of post-poverty alleviation populations within the same region; the resilience of livelihood capital is a key factor affecting the overall livelihood resilience of the post-poverty alleviation population in Liangshan Prefecture, with the insufficiency of financial capital being a major vulnerability risk faced by both types of populations, although there are differences in specific types; the stable poverty alleviation population in the sample area has relatively lower market environment resilience but higher policy environment resilience, while the poverty monitoring population has relatively higher market environment resilience; the livelihood strategy resilience of the stable poverty alleviation population in the sample area is generally higher than that of the poverty monitoring population, with the former showing stronger resilience in production and operation, and the latter showing higher resilience in migration and development. Therefore, it is necessary to innovate and consider precise measures for enhancing the livelihood resilience of the post-poverty alleviation population in the western ethnic regions, as well as prevention plans for the risk of returning to poverty, based on the diversity and non-linear characteristics of the vulnerability risks of livelihood resilience. |
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