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.
Int J Environ Res Public Health. 2022 Jan 4;19(1):551. doi: 10.3390/ijerph19010551.
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.
气候变化对中国西部生态脆弱地区依赖自然资源的社区造成了不成比例的影响。本研究采用政府间气候变化专门委员会（IPCC）提出的家庭生计脆弱性指数（HLV-IPCC）来评估脆弱性。数据来自中国生态脆弱地区宁夏、甘肃、广西和云南的 823 户家庭。采用综合 HLVI-IPCC 和多元回归模型，估计了影响家庭适应 HLVI-IPCC 的因素。结果表明，在所有指数中，宁夏是最脆弱的社区，而广西是最不容易受到脆弱性影响的社区。此外，甘肃对气候变化的敏感性和暴露程度最高，而宁夏对气候变化的适应能力最强。此外，家庭户主的年龄和家庭到城镇中心的距离对家庭适应 HLVI-IPCC 的能力有显著的负面影响。研究结果还表明，HLVI 评估可以为地方当局提供一个有效的工具，制定优先战略，促进气候适应发展和提高长期适应能力。
