Measuring the Imbalance of Regional Development from Outer Space in China

Shengxia Xu (), Liu Qiang () and Lu Xiaoli ()
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Liu Qiang: School of Statistics, Capital University of Economics and Business, Beijing100070, China
Lu Xiaoli: Institute of Mahtematics and Physics, Beijing Union University, Beijing100101, China

Journal of Systems Science and Information, 2021, vol. 9, issue 5, 519-532

Abstract: We develop a statistical framework to use the data of night-time-lights (DN) from satellite to augment official GDP measures, and a non-linear substitution relationship between DN and GDP is given. In this paper, we take advantage of DN instead of GDP to measure the imbalance of regional development (IRD) in China by using the method of bi-dimensional decomposition under the population-weighted coefficient of variation. The method enables us to analyze the contributions of DN components to within-region and between-regions inequality under the framework which has been proposed, we can get the conclusion that the imbalance between-regions rather than within-region is the main reason for the influence of IRD for the whole country in China.

Keywords: data of night-time-lights; nonlinear relationship; imbalance of regional development; China (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:bpj:jossai:v:9:y:2021:i:5:p:519-532:n:6

DOI: 10.21078/JSSI-2021-519-14

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