| アイテムタイプ |
itemtype_ver1(1) |
| 公開日 |
2024-07-04 |
| タイトル |
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タイトル |
Can higher-quality nighttime lights predict sectoral GDP across subnational regions? Urban and rural luminosity across provinces in Türkiye |
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言語 |
en |
| 著者 |
Chen, Yilin
Ursavaş, Uğur
Mendez, Carlos
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| アクセス権 |
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アクセス権 |
open access |
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アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
| 権利 |
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権利情報 |
This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s12076-024-00375-x |
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言語 |
en |
| 内容記述 |
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内容記述タイプ |
Abstract |
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内容記述 |
Limited access to regional and sectoral economic data hinders effective policy design in various countries. To address this issue, this study explores the potential of higher-quality nighttime light (NTL) data to predict economic activity across various sectors within regions. We analyze the relationship between NTL intensity and sectoral GDP in 81 Turkish provinces from 2004 to 2020. Our findings reveal that urban NTL data is most strongly correlated with non-agricultural GDP, particularly in the industrial sector. This suggests that NTL data, especially its urban component, can be a valuable tool for policymakers to identify economically disadvantaged regions and sectors, monitor the impact of economic development policies at a granular level, and allocate resources efficiently. However, this study also acknowledges limitations in capturing annual GDP changes, highlighting the need to combine NTL data with other economic indicators for a comprehensive understanding. |
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言語 |
en |
| 出版者 |
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出版者 |
Springer |
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言語 |
en |
| 言語 |
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言語 |
eng |
| 資源タイプ |
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資源タイプresource |
http://purl.org/coar/resource_type/c_6501 |
|
タイプ |
journal article |
| 出版タイプ |
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出版タイプ |
AM |
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出版タイプResource |
http://purl.org/coar/version/c_ab4af688f83e57aa |
| 関連情報 |
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関連タイプ |
isVersionOf |
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識別子タイプ |
DOI |
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関連識別子 |
https://doi.org/10.1007/s12076-024-00375-x |
| 収録物識別子 |
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収録物識別子タイプ |
PISSN |
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収録物識別子 |
1864-4031 |
| 書誌情報 |
en : Letters in Spatial and Resource Sciences
巻 17,
号 1,
p. 12,
発行日 2024-04-07
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| ファイル公開日 |
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日付 |
2025-04-07 |
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日付タイプ |
Available |