Quantifying the extent of climate inequality in China
| cg.contributor.affiliation | National University of Singapore | en |
| cg.contributor.affiliation | Zhejiang University | en |
| cg.contributor.donor | Zhejiang Province | en |
| cg.contributor.donor | National Natural Science Foundation of China | en |
| cg.contributor.donor | Cyrus Tang Foundation | en |
| cg.contributor.donor | Ministry of Education | en |
| cg.contributor.donor | CGIAR Trust Fund | en |
| cg.contributor.initiative | Low-Emission Food Systems | |
| cg.coverage.country | China | |
| cg.coverage.iso3166-alpha2 | CN | |
| cg.coverage.region | South-eastern Asia | |
| cg.coverage.region | Asia | |
| cg.coverage.region | Eastern Asia | |
| cg.howPublished | Formally Published | en |
| cg.identifier.doi | https://doi.org/10.1016/j.crm.2023.100536 | en |
| cg.identifier.publicationRank | Not Ranked | |
| cg.isijournal | ISI Journal | en |
| cg.issn | 2212-0963 | en |
| cg.journal | Climate Risk Management | en |
| cg.reviewStatus | Peer Review | en |
| cg.subject.actionArea | Systems Transformation | |
| cg.subject.impactArea | Climate adaptation and mitigation | |
| cg.volume | 41 | en |
| dc.contributor.author | Tan-Soo, Jie-Sheng | en |
| dc.contributor.author | Chen, Shuai | en |
| dc.contributor.author | Ye, Hai-Jian | en |
| dc.date.accessioned | 2024-02-01T17:44:47Z | en |
| dc.date.available | 2024-02-01T17:44:47Z | en |
| dc.identifier.uri | https://hdl.handle.net/10568/138805 | |
| dc.title | Quantifying the extent of climate inequality in China | en |
| dcterms.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. | en |
| dcterms.accessRights | Open Access | |
| dcterms.bibliographicCitation | Tan-Soo, Jie-Sheng; Chen, Shuai; and Ye, Hai-Jian. 2023. Quantifying the extent of climate inequality in China. Climate Risk Management 41: 100536. https://doi.org/10.1016/j.crm.2023.100536 | en |
| dcterms.issued | 2023-07-23 | |
| dcterms.language | en | |
| dcterms.license | CC-BY-4.0 | |
| dcterms.publisher | Elsevier | en |
| dcterms.subject | climate | en |
| dcterms.subject | equality | en |
| dcterms.subject | temperature anomalies | en |
| dcterms.subject | adaptation | en |
| dcterms.subject | climate change | en |
| dcterms.type | Journal Article |