基于夜间灯光数据的中国县域发展活力与均衡性动态研究

doi:10.11821/dlxb202304003

Abstract

Abstract:

Eliminating inequality and achieving balanced development is one of the Sustainable Development Goals of the United Nations. Accurate measurement of development equilibrium is a primary scientific problem to be solved urgently. Nighttime lights data have been proven to be a good proxy for economic activity, and they have been used widely due to their advantages of convenient acquisition and wide spatial coverage. Therefore, in this study, we applied the Gini coefficients derived from nighttime lights data and pixelized population data to evaluate the development equilibria for China's 2900 counties from 2002-2020. We then examined the nexus of the development equilibrium and developmental vitality represented by the average nighttime lights intensity within each county. The results showed that the Gini coefficients based on nighttime lights data have generally been decreasing for 96% of the counties in China during 2002-2020. Moreover, in general, the Gini coefficients present a spatial pattern of being lower in the east and higher in the west. The results illustrate the synergetic development pathways of economic growth and equilibrium promotion of the economically developed counties, although the variation of their equilibria is significant. On the contrary, there is still distinct room for improvement of development equilibria for 60% of the economically underdeveloped counties in China. The results provide scientific support for achieving balanced development and promoting common prosperity in China.

Key words: Gini coefficient, equilibrium, nighttime lights data, spatiotemporal dynamics, counties in China

LIU Lingcen, SUN Zhongxiao, WU Feng, LI Yuheng, ZHANG Qian. Dynamics of developmental vitality and equilibria of counties in China based on nighttime lights data[J].Acta Geographica Sinica, 2023, 78(4): 811-823.

Figures/Tables 8

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Dynamics of developmental vitality and equilibria of counties in China based on nighttime lights data

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