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Quantifying the Mortality Consequences of Climate Change : Evidence from Japan
http://hdl.handle.net/10086/85199
http://hdl.handle.net/10086/851998fcc36be-cc64-420d-9b1b-fc4b99f259c1
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
070_hiasDP-E-143.pdf (44.4 MB)
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| Item type | デフォルトアイテムタイプ（フル）その２(1) | |||||
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| 公開日 | 2025-04-17 | |||||
| タイトル | ||||||
| タイトル | Quantifying the Mortality Consequences of Climate Change : Evidence from Japan | |||||
| 言語 | en | |||||
| 作成者 |
WANG, Hongming
× WANG, Hongming |
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| 寄与者 | ||||||
| 寄与者タイプ | Editor | |||||
| 姓名 | Hitotsubashi Institute for Advanced Study, Hitotsubashi University | |||||
| 言語 | en | |||||
| アクセス権 | ||||||
| アクセス権 | open access | |||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||
| 主題 | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | climate change | |||||
| 主題 | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | mortality risk | |||||
| 主題 | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | population health | |||||
| 主題 | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Japan | |||||
| 内容記述 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | Climate change is projected to increase global temperature and bring about more frequent and intense extreme events including compound extreme events with especially large damage to communities. This paper examines the mortality consequences of climate change across 22 climate change indicators that capture not only shifts in the mean and extremes of weather conditions, but also the amplification of weather extremes when they co-occur and interact in compound extreme events. Using data from 1718 Japan municipalities in 1980-2019, I identify the leading climate drivers of mortality in Japan and quantify the climate-mortality relationship drawing on model specifications selected by LASSO. In addition to temperature, relative humidity, precipitation, and humidity amplification in heat-and-humidity extremes all have significant impacts on mortality, with larger, non-linear effects at the heat extremes of the temperature distribution and both high and low extremes of relative humidity. The mortality responses to heat are concentrated in urban municipalities with no evidence of adaptation between early and late periods of climate change, whereas the mortality responses to humidity amplification are stronger in rural municipalities and fully concentrated in the early period of climate change. Over the study period in 1980-2019, the average municipality in Japan experienced a cumulative mortality of 120 deaths per 10,000 individuals from climate change, of which increases in temperatures contributed 129 deaths, increases in humidity amplification contributed 26 deaths, reductions in precipitation contributed 7 deaths, and reductions in relative humidity lowered mortality by 43 deaths. | |||||
| 言語 | en | |||||
| 出版者 | ||||||
| 出版者 | Hitotsubashi Institute for Advanced Study, Hitotsubashi University | |||||
| 言語 | en | |||||
| 日付 | ||||||
| 日付 | 2025-04-15 | |||||
| 日付タイプ | Issued | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_18gh | |||||
| 資源タイプ | technical report | |||||
| 出版タイプ | ||||||
| 出版タイプ | VoR | |||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
| 関連情報 | ||||||
| 関連タイプ | isPartOf | |||||
| 言語 | en | |||||
| 関連名称 | Discussion paper series ; No. HIAS-E-143 | |||||
| 助成情報 | ||||||
| 助成機関識別子タイプ | Crossref Funder | |||||
| 助成機関識別子 | https://doi.org/10.13039/501100001691 | |||||
| 助成機関名 | Japan Society for the Promotion of Science | |||||
| 言語 | en | |||||
| 研究課題番号URI | https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-23K12463/ | |||||
| 研究課題番号 | 23K12463 | |||||
| 研究課題名 | Quantifying the Mortality Consequences of Climate Change: A Machine Learning Analysis of Japan in 1972-2019 | |||||
| 言語 | en | |||||
| ページ数 | ||||||
| ページ数 | 55 | |||||
| Sponsorship | ||||||
| 値 | The author acknowledges financial support from the Japan Society for the Promotion of Science (KAKENHI #23K12463). | |||||
| JEL | ||||||
| 値 | I14 | |||||
| JEL | ||||||
| 値 | Q51 | |||||
| JEL | ||||||
| 値 | Q54 | |||||
