西南喀斯特地区气候脆弱性农户识别与评估研究
发布时间：2018-09-11 09:25
【摘要】：以贵州省黔东南州为例,在质性分析的基础上,从当地农民认为的影响气候变化脆弱性的因素中开发和应用脆弱性指数,结合西南喀斯特地区20个村2357位农户的调查数据,构建指标体系,通过聚类分析精准识别和评估了气候脆弱性农户。研究发现:(1)普通农户与脆弱性农户在各类资本与贫困水平的特征上存在显著差异,财富积累、生计多样性和社会资本对于降低农户气候脆弱性有积极作用。(2)贫困农户中资产总值得分高的农户一般仅缺失自然资本,农业收益低,抗风险能力差;资产总值得分中等的农户自然资本和社会资本缺失较多,面临生计威胁时,无法通过救助途径来弥补损失;资产总值得分最低的是多种资本缺失的农户,一般为孤老农户,是最为脆弱的群体。最后从精准扶贫的角度提出了相关对策建议。
[Abstract]:Taking Qiandongnan Prefecture of Guizhou Province as an example, based on qualitative analysis, the vulnerability index was developed and applied from the factors considered by local farmers to affect the vulnerability of climate change, and the data of 2357 rural households in 20 villages in Southwest Karst region were combined. An index system was constructed to identify and evaluate the climate vulnerability of farmers accurately by cluster analysis. The findings are as follows: (1) there are significant differences in the characteristics of various types of capital and poverty between ordinary farmers and vulnerable farmers, and the accumulation of wealth; Livelihood diversity and social capital play a positive role in reducing the climate vulnerability of farmers. (2) the poor farmers with high score of total asset value only lack natural capital, agricultural income is low, and the ability to resist risks is poor; Farmers with medium score of total assets have more natural capital and social capital, and when faced with livelihood threats, they can not make up for the loss by means of relief, and those with the lowest score of assets total value are farmers with various capital losses, who are generally isolated old farmers. Is the most vulnerable group. Finally, from the point of view of precision poverty alleviation, the relevant countermeasures and suggestions are put forward.
【作者单位】： 中南民族大学管理学院;
【基金】：国家社会科学基金项目“全球气候变化背景下提升民族地区农户灾害应对能力问题研究”(11BMZ056)
【分类号】：F323.8
本文编号：2236291
[Abstract]:Taking Qiandongnan Prefecture of Guizhou Province as an example, based on qualitative analysis, the vulnerability index was developed and applied from the factors considered by local farmers to affect the vulnerability of climate change, and the data of 2357 rural households in 20 villages in Southwest Karst region were combined. An index system was constructed to identify and evaluate the climate vulnerability of farmers accurately by cluster analysis. The findings are as follows: (1) there are significant differences in the characteristics of various types of capital and poverty between ordinary farmers and vulnerable farmers, and the accumulation of wealth; Livelihood diversity and social capital play a positive role in reducing the climate vulnerability of farmers. (2) the poor farmers with high score of total asset value only lack natural capital, agricultural income is low, and the ability to resist risks is poor; Farmers with medium score of total assets have more natural capital and social capital, and when faced with livelihood threats, they can not make up for the loss by means of relief, and those with the lowest score of assets total value are farmers with various capital losses, who are generally isolated old farmers. Is the most vulnerable group. Finally, from the point of view of precision poverty alleviation, the relevant countermeasures and suggestions are put forward.
【作者单位】： 中南民族大学管理学院;
【基金】：国家社会科学基金项目“全球气候变化背景下提升民族地区农户灾害应对能力问题研究”(11BMZ056)
【分类号】：F323.8
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