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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

Author

Listed:
  • Qihang Li

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

  • Peng Sun

    (School of Economics, Shandong University of Finance and Economics, Jinan 250014, China)

  • Bo Li

    (School of Management, Tianjin University of Technology, Tianjin 300384, China)

  • Muhammad Mohiuddin

    (Faculty of Business Administration, Laval University, Quebec, QC G1V 0A6, Canada)

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.

Suggested Citation

  • Qihang Li & Peng Sun & Bo Li & Muhammad Mohiuddin, 2022. "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," IJERPH, MDPI, vol. 19(6), pages 1-22, March.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:6:p:3328-:d:769140
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    References listed on IDEAS

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    Cited by:

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