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气候变化对农村贫困脆弱性的影响:基于 CHIPS2013 和中国县级温度数据的研究。

Impact of Climate Change on Rural Poverty Vulnerability from an Income Source Perspective: A Study Based on CHIPS2013 and County-Level Temperature Data in China.

机构信息

Center for Economic Research, Shandong University of Finance and Economics, Jinan 250014, China.

School of Economics, Shandong University of Finance and Economics, Jinan 250014, China.

出版信息

Int J Environ Res Public Health. 2022 Mar 11;19(6):3328. doi: 10.3390/ijerph19063328.

Abstract

Harsh natural climatic environments, such as extreme weather and natural disasters, cause devastating blows to production activities and increase the probability of geographic poverty, climate poverty, and return to poverty. Thus, this study uses climate data and micro survey data (CHIPS2013) to examine the impact of climate on vulnerability to individual poverty in rural China. The results demonstrated that extreme temperatures (hotter summers, colder winters, and greater day-to-day temperature gaps) reduce vulnerability to poverty. This was also supported by the median and average temperatures. Second, there is an association between poverty vulnerability and poverty; that is, poorer people will become poorer with an increase in poverty vulnerability. In fact, in the case of higher income, the higher the probability of returning to poverty, the higher the vulnerability. Policy formulation processes should take into consideration different types of impacts from harsh climate on different vulnerable groups. No single action might be adequate and an integrative approach integrating various strategies and actions are required to overcome challenges posed by climate change and poverty vulnerabilities.

摘要

恶劣的自然气候环境,如极端天气和自然灾害,对生产活动造成毁灭性打击,并增加了地理贫困、气候贫困和返贫的概率。因此,本研究利用气候数据和微观调查数据(CHIPS2013),考察了气候对中国农村个体贫困脆弱性的影响。结果表明,极端温度(更热的夏季、更冷的冬季和更大的日温差)降低了贫困脆弱性。这也得到了中值和平均温度的支持。其次,贫困脆弱性与贫困之间存在关联;也就是说,随着贫困脆弱性的增加,贫困人口会变得更加贫困。事实上,在收入较高的情况下,返贫的概率越高,脆弱性就越高。政策制定过程应考虑到恶劣气候对不同脆弱群体的不同影响类型。单一的行动可能是不够的,需要采取综合的方法,整合各种战略和行动,以克服气候变化和贫困脆弱性带来的挑战。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b80/8950229/5456b4593d18/ijerph-19-03328-g001.jpg

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