Quantifying the extent of climate inequality in China
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...
| Main Authors: | , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Elsevier
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/138805 |
| _version_ | 1855521375721095168 |
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| author | Tan-Soo, Jie-Sheng Chen, Shuai Ye, Hai-Jian |
| author_browse | Chen, Shuai Tan-Soo, Jie-Sheng Ye, Hai-Jian |
| author_facet | Tan-Soo, Jie-Sheng Chen, Shuai Ye, Hai-Jian |
| author_sort | Tan-Soo, Jie-Sheng |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | 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. |
| format | Journal Article |
| id | CGSpace138805 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace1388052025-10-26T13:01:22Z Quantifying the extent of climate inequality in China Tan-Soo, Jie-Sheng Chen, Shuai Ye, Hai-Jian climate equality temperature anomalies adaptation climate change 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. 2023 2024-02-01T17:44:47Z 2024-02-01T17:44:47Z Journal Article https://hdl.handle.net/10568/138805 en Open Access Elsevier 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 |
| spellingShingle | climate equality temperature anomalies adaptation climate change Tan-Soo, Jie-Sheng Chen, Shuai Ye, Hai-Jian Quantifying the extent of climate inequality in China |
| title | Quantifying the extent of climate inequality in China |
| title_full | Quantifying the extent of climate inequality in China |
| title_fullStr | Quantifying the extent of climate inequality in China |
| title_full_unstemmed | Quantifying the extent of climate inequality in China |
| title_short | Quantifying the extent of climate inequality in China |
| title_sort | quantifying the extent of climate inequality in china |
| topic | climate equality temperature anomalies adaptation climate change |
| url | https://hdl.handle.net/10568/138805 |
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