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  1. D100 大学院国際開発研究科
  2. D100a 雑誌掲載論文
  3. 学術雑誌

Can higher-quality nighttime lights predict sectoral GDP across subnational regions? Urban and rural luminosity across provinces in Türkiye

http://hdl.handle.net/2237/0002011263
http://hdl.handle.net/2237/0002011263
0044bfa8-f990-433d-9292-dcba87763d8b
名前 / ファイル ライセンス アクション
project2021t_Can_higher_quality_nighttime_lights_predict_sectoral_GDP_across_subnational_regions_.pdf project2021t_Can_higher_quality_nighttime_lights_predict_sectoral_GDP_across_subnational_regions_.pdf (3.8 MB)
アイテムタイプ itemtype_ver1(1)
公開日 2024-07-04
タイトル
タイトル Can higher-quality nighttime lights predict sectoral GDP across subnational regions? Urban and rural luminosity across provinces in Türkiye
言語 en
著者 Chen, Yilin

× Chen, Yilin

en Chen, Yilin

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Ursavaş, Uğur

× Ursavaş, Uğur

en Ursavaş, Uğur

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Mendez, Carlos

× Mendez, Carlos

en Mendez, Carlos

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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
権利
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
言語 en
内容記述
内容記述タイプ Abstract
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.
言語 en
出版者
出版者 Springer
言語 en
言語
言語 eng
資源タイプ
資源タイプresource http://purl.org/coar/resource_type/c_6501
タイプ journal article
出版タイプ
出版タイプ AM
出版タイプResource http://purl.org/coar/version/c_ab4af688f83e57aa
関連情報
関連タイプ isVersionOf
識別子タイプ DOI
関連識別子 https://doi.org/10.1007/s12076-024-00375-x
収録物識別子
収録物識別子タイプ PISSN
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
ファイル公開日
日付 2025-04-07
日付タイプ Available
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