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Uncovering the climate vulnerability of China’s poverty alleviation frontiers

  • Feng Zhao
  • , Lijun Zuo
  • , Yuyu Zhou
  • , Liangzhi You
  • , Huabing Huang
  • , Rui Sun
  • , Yuanyuan Zhao
  • , Xunhuan Li
  • , Dawei Zhang
  • , Ran Meng*
  • *Corresponding author for this work
  • College of Forestry, Northeast Forestry University
  • CAS - Northeast Institute of Geography and Agricultural Ecology
  • CAS - Aerospace Information Research Institute
  • The University of Hong Kong
  • International Food Policy Research Institute
  • Huazhong Agricultural University
  • Sun Yat-Sen University
  • Hong Kong Polytechnic University
  • China Agricultural University
  • SUNY Buffalo
  • Central China Normal University
  • Faculty of Computing, Harbin Institute of Technology
  • National Key Laboratory of Smart Farm Technologies and Systems

Research output: Contribution to journalArticlepeer-review

Abstract

Poverty alleviation is critical for improving social equity and overall development, but ongoing climate change poses a significant threat for such efforts. A clear example is China’s targeted poverty alleviation campaign, which has recently achieved substantial success but is now under increasing climate pressure. Using multi-source geospatial data, we propose a novel framework to map the extent and types of hotspot regions (i.e. frontiers) of China’s poverty alleviation campaign and assess their associated climate vulnerabilities following the IPCC approach. We identify multi-dimensional inequalities in the climate vulnerabilities of different frontiers, regions, and population. The most vulnerable frontiers are livestock and agri-economy frontiers in western China: although they support less than 5% of the low-income population, they disproportionally occupy 50% of the area. In contrast, frontiers related to more spatially concentrated industries (e.g., tourism and other industries), which cover less than 20% of the total area while supporting over 70% of the population, show lower vulnerability. These results reveal the uneven development and climate risk in China’s poor regions and highlight the importance of industry agglomeration in combating poverty and mitigating future risks. Our study paves the way for global monitoring of poverty alleviation hotspots, informing climate adaptation policy-making and helping to prevent climate-induced poverty recurrence.

Original languageEnglish
Article number103140
JournalGlobal Environmental Change
Volume98
DOIs
StatePublished - Jul 2026
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 1 - No Poverty
    SDG 1 No Poverty
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Climate resilience
  • Geospatial big data
  • Hotspot analysis
  • Rural development
  • Smart Agriculture

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