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Spatial Dynamics of Air Pollution and Income in China
https://agi.repo.nii.ac.jp/records/2000202
https://agi.repo.nii.ac.jp/records/2000202e8063312-1910-4f59-a4c4-8d642a1e46b5
名前 / ファイル | ライセンス | アクション |
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Item type | 調査報告書/Research Reports(1) | |||||||||||
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公開日 | 2025-04-07 | |||||||||||
タイトル | ||||||||||||
タイトル | Spatial Dynamics of Air Pollution and Income in China | |||||||||||
言語 | en | |||||||||||
言語 | ||||||||||||
言語 | eng | |||||||||||
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資源タイプ識別子 | http://purl.org/coar/resource_type/c_18ws | |||||||||||
資源タイプ | research report | |||||||||||
研究代表者 |
ドミンゲス, アルバロ
× ドミンゲス, アルバロ
WEKO
327
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item_3_date_6 | ||||||||||||
日付 | 2025-03 | |||||||||||
日付タイプ | Issued | |||||||||||
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内容記述タイプ | Abstract | |||||||||||
内容記述 | We examine the spatial distribution of air pollution, specifically PM2.5 levels, and income across 285 prefectural-level and above cities in China. Our analysis combines static spatial dependence techniques to identify clusters of high pollution (hot spots) and low pollution (cold spots), high lighting a strong negative relationship between income and air pollution, with wealthier regions typically enjoying better air quality. To deepen this understanding, we apply spatial Markov chains to evaluate whether regions are converging over time in terms of air pollution and income levels. This integrated approach not only uncovers spatial patterns but also tracks temporal dynamics, providing insights that can inform strategies to enhance public health, promote environmental equity, and improve overall quality of life. | |||||||||||
言語 | en | |||||||||||
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出版タイプ | NA | |||||||||||
出版タイプResource | http://purl.org/coar/version/c_be7fb7dd8ff6fe43 |