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Measuring the Imbalance of Regional Development from Outer Space in China

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Listed:
  • Xu Shengxia
  • 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)

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.

Suggested Citation

  • Xu Shengxia & Liu Qiang & Lu Xiaoli, 2021. "Measuring the Imbalance of Regional Development from Outer Space in China," Journal of Systems Science and Information, De Gruyter, vol. 9(5), pages 519-532, October.
    • Handle: 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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    References listed on IDEAS

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    1. Takahiro Akita & Sachiko Miyata, 2010. "The bi-dimensional decomposition of regional inequality based on the weighted coefficient of variation," Letters in Spatial and Resource Sciences, Springer, vol. 3(3), pages 91-100, October.
    2. Qiang Liu & Shengxia Xu & Xiaoli Lu, 2020. "Imbalance measurement of regional economic quality development: evidence from China," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 65(2), pages 527-556, October.
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    Cited by:

    1. Shengxia Xu & Qiang Liu & Huihui Sun, 2022. "Economic coordination development from the perspective of cross‐regional urban agglomerations in China," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(S2), pages 36-59, November.

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