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Measuring the Imbalance of Regional Development from Outer Space in China

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Listed:
  • Xu Shengxia

    (School of Statistics, Capital University of Economics and Business, Beijing100070, China)

  • 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

    as
    1. 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.
    2. Kanbur, Ravi & Venables, Anthony J. (ed.), 2005. "Spatial Inequality and Development," OUP Catalogue, Oxford University Press, number 9780199278633.
    3. Harry X. Wu, 2006. "The Chinese GDP Growth Rate Puzzle: How Fast Has the Chinese Economy Grown?," Hi-Stat Discussion Paper Series d06-176, Institute of Economic Research, Hitotsubashi University.
    4. Charlotta Mellander & José Lobo & Kevin Stolarick & Zara Matheson, 2015. "Night-Time Light Data: A Good Proxy Measure for Economic Activity?," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-18, October.
    5. Berliant, Marcus & Weiss, Adam, 2013. "Measuring Economic Growth from Outer Space: A Comment," MPRA Paper 51055, University Library of Munich, Germany.
    6. Kanbur, Ravi & Venables, Anthony J., 2005. "SPATIAL INEQUALITY AND DEVELOPMENT Overview of UNU-WIDER Project," Working Papers 127127, Cornell University, Department of Applied Economics and Management.
    7. 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.
    8. J. Vernon Henderson & Adam Storeygard & David N. Weil, 2012. "Measuring Economic Growth from Outer Space," American Economic Review, American Economic Association, vol. 102(2), pages 994-1028, April.
    9. Piet Buys & Uwe Deichmann & David Wheeler, 2010. "Road Network Upgrading and Overland Trade Expansion in Sub-Saharan Africa-super- †," Journal of African Economies, Centre for the Study of African Economies, vol. 19(3), pages 399-432, June.
    10. Ravi Kanbur & Tony Venables, 2005. "Introduction: Spatial inequality and development," Journal of Economic Geography, Oxford University Press, vol. 5(1), pages 1-2, January.
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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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