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Household Livelihood Vulnerability to Climate Change in West China

Author

Listed:
  • Jinyu Shen

    (School of Economics and Management, South China Agricultural University, Guangzhou 510642, China)

  • Wei Duan

    (School of Economics and Management, South China Agricultural University, Guangzhou 510642, China
    Research Center for Green Development of Agriculture, South China Agricultural University, Guangzhou 510642, China)

  • Yuqi Wang

    (School of Economics and Management, South China Agricultural University, Guangzhou 510642, China)

  • Yijing Zhang

    (School of Economics and Management, South China Agricultural University, Guangzhou 510642, China)

Abstract

Climate change disproportionately affects natural resource-dependent communities in the ecologically vulnerable regions of western China. This study used the household livelihood vulnerability index under the Intergovernmental Panel on Climate Change (HLV-IPCC) to assess vulnerability. Data were collected from 823 households in Ningxia, Gansu, Guangxi, and Yunnan provinces, these being ecologically vulnerable regions in China. With a composite HLVI-IPCC and multiple regression model, the factors that affect households’ adaptive capability to HLVI-IPCC was estimated. Results indicate that Ningxia is the most vulnerable community, while Guangxi is the least vulnerable community across all indices. Moreover, Gansu has the heaviest sensitivity and exposure to climate change, whereas Ningxia has the highest adaptive capability to climate change. In addition, the age of household head and distance of the home to the town center had significant negative impacts on households’ adaptive capacity to HLVI-IPCC. The results also suggest that the HLVI assessment can provide an effective tool for local authorities to formulate prioritizing strategies with promoting climate-resilient development and increasing long-term adaptive capacity.

Suggested Citation

  • Jinyu Shen & Wei Duan & Yuqi Wang & Yijing Zhang, 2022. "Household Livelihood Vulnerability to Climate Change in West China," IJERPH, MDPI, vol. 19(1), pages 1-14, January.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:1:p:551-:d:717734
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    References listed on IDEAS

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