{"title":"Quantifying the extent of climate inequality in China","authors":"Jie-Sheng Tan-Soo , Shuai Chen , Hai-Jian Ye","doi":"10.1016/j.crm.2023.100536","DOIUrl":null,"url":null,"abstract":"<div><p>Using individual-level panel data representative of Chinese residents, this study examines in detail the relationship between temperature and subjective well-being (SWB). We first find that a 1 °C increase in temperature anomalies (difference between current and historical temperature) causes a 0.02 decrease in SWB (2% of 1 S.D.). Second, we present evidence of climate inequality along socioeconomic status (SES) as SWB of better educated, and higher-income Chinese residents are less affected by temperature anomalies compared to their lower SES counterparts. Closer examination reveals that adaptation mechanisms such as ownership of air-conditioners, automobiles, and indoor work help to alleviate adverse impacts of temperature anomalies. Lastly, for better comparison, we express our findings as monetized damages. We compute that a 1 °C increase in temperature anomalies causes damages equivalent to around 6.9% of income. However, these damages are mostly driven by Chinese from the lower-SES stratum as their damages are equivalent to around 9.6% of income compared to no damages for the high-SES group. Similarly, when translated into elasticity, we find that temperature-induced damages reduce by around 2% for every 1% increase in average income.</p></div>","PeriodicalId":54226,"journal":{"name":"Climate Risk Management","volume":null,"pages":null},"PeriodicalIF":4.8000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Climate Risk Management","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212096323000621","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Using individual-level panel data representative of Chinese residents, this study examines in detail the relationship between temperature and subjective well-being (SWB). We first find that a 1 °C increase in temperature anomalies (difference between current and historical temperature) causes a 0.02 decrease in SWB (2% of 1 S.D.). Second, we present evidence of climate inequality along socioeconomic status (SES) as SWB of better educated, and higher-income Chinese residents are less affected by temperature anomalies compared to their lower SES counterparts. Closer examination reveals that adaptation mechanisms such as ownership of air-conditioners, automobiles, and indoor work help to alleviate adverse impacts of temperature anomalies. Lastly, for better comparison, we express our findings as monetized damages. We compute that a 1 °C increase in temperature anomalies causes damages equivalent to around 6.9% of income. However, these damages are mostly driven by Chinese from the lower-SES stratum as their damages are equivalent to around 9.6% of income compared to no damages for the high-SES group. Similarly, when translated into elasticity, we find that temperature-induced damages reduce by around 2% for every 1% increase in average income.
期刊介绍:
Climate Risk Management publishes original scientific contributions, state-of-the-art reviews and reports of practical experience on the use of knowledge and information regarding the consequences of climate variability and climate change in decision and policy making on climate change responses from the near- to long-term.
The concept of climate risk management refers to activities and methods that are used by individuals, organizations, and institutions to facilitate climate-resilient decision-making. Its objective is to promote sustainable development by maximizing the beneficial impacts of climate change responses and minimizing negative impacts across the full spectrum of geographies and sectors that are potentially affected by the changing climate.