Evaluation of economic inequality in 'the Belt and Road' region - The application of night-time satellite imagery
文献类型：期刊论文
| 作者 | Yang, Zhen1; Zhang, Lu2,3; Liu, Chengkun4; Chen, Yu5,6; Wu, Rongwei5,7; Zheng, Yaomin5,8 |
| 刊名 | WORLD ECONOMY
 |
| 出版日期 | 2024-03-19 |
| 页码 | 21 |
| 关键词 | economic growth economic inequality night-time satellite imagery 'the Belt and Road' |
| ISSN号 | 0378-5920 |
| DOI | 10.1111/twec.13567 |
| 通讯作者 | Liu, Chengkun(ckliu@must.edu.mo) ; Chen, Yu(chenyu@radi.ac.cn) |
| 英文摘要 | The main aim of this paper is to explore economic inequality in 'the Belt and Road' region where the investigation of the economic status is important but remains underdeveloped. The application of night-time satellite imagery in 2015 can effectively make up for the shortcomings of insufficient data at various scales, especially for developing countries. We explored inequality at a multi-scale level using the Theil decomposition method. As a result, (1) night-time light data can present economic development and assess inequality in 'the Belt and Road' region. (2) The between-sub-region inequality contributed most to disparity, while the between-country inequality was the least. Night-time light data in West Asia and Central and Eastern Europe was higher than that in other sub-regions. Countries within Central, Southeast and West Asia exhibited high inequalities, indicating an obvious sub-regional pattern. (3) Both positive and negative impacts of economic growth on inequality are observed, indicating that 'the Belt and Road' countries are in different stages of economic development. Nightlight satellite imagery can effectively monitor social-economic development and will play an important role in the implementation of 'the Belt and Road' initiative and achieving the sustainable development goals. |
| WOS关键词 | INCOME INEQUALITY ; LAND-COVER ; LIGHT ; CHINA ; GROWTH ; POPULATION ; DECOMPOSITION ; DETERMINANTS ; STABILITY ; POVERTY |
| 资助项目 | Innovation Centre for Digital Business and Capital Development of Beijing Technology and Business University ; National Natural Science Foundation of China[42101210] ; National Natural Science Foundation of China[42101170] ; National Natural Science Foundation of China[42271177] ; Beijing Philosophy and Social Science Foundation[21JJC023] ; R&D Program Municipal Education Commission[SM202210011006] ; [SZSK202325] |
| WOS研究方向 | Business & Economics ; International Relations |
| 语种 | 英语 |
| WOS记录号 | WOS:001187153700001 |
| 出版者 | WILEY |
| 资助机构 | Innovation Centre for Digital Business and Capital Development of Beijing Technology and Business University ; National Natural Science Foundation of China ; Beijing Philosophy and Social Science Foundation ; R&D Program Municipal Education Commission |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/204083]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Liu, Chengkun; Chen, Yu |
| 作者单位 | 1.Jiangsu Normal Univ, Sch Geog Geomat & Planning, Xuzhou, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 3.Chinese Acad Sci, Key Lab Reg Sustainable Dev Modeling, Beijing, Peoples R China 4.Macau Univ Sci & Technol, Sch Business, Taipa 999078, Macao, Peoples R China 5.Beijing Technol & Business Univ, Business Sch, Beijing 100048, Peoples R China 6.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China 7.Chongqing Technol & Business Univ, Sch Publ Adm, Chongqing, Peoples R China 8.Beijing Technol & Business Univ, Inst Culture & Tourism Dev, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yang, Zhen,Zhang, Lu,Liu, Chengkun,et al. Evaluation of economic inequality in 'the Belt and Road' region - The application of night-time satellite imagery[J]. WORLD ECONOMY,2024:21. |
| APA | Yang, Zhen,Zhang, Lu,Liu, Chengkun,Chen, Yu,Wu, Rongwei,&Zheng, Yaomin.(2024).Evaluation of economic inequality in 'the Belt and Road' region - The application of night-time satellite imagery.WORLD ECONOMY,21. |
| MLA | Yang, Zhen,et al."Evaluation of economic inequality in 'the Belt and Road' region - The application of night-time satellite imagery".WORLD ECONOMY (2024):21. |
入库方式： OAI收割
来源：地理科学与资源研究所
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