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Dataset of Spatio-temporal Characteristics and Mechanism of the Coupling Coordination between Digital Economy and Green Development in China (2010-2019)


XIAO Qinlin1DENG Zongbin2
1 School of Economics and Management,Southwest University,Chongqing 400715,China2 School of Economics and Management, Southwest University,Chongqing 400715,China

DOI:10.3974/geodb.2024.04.09.V1

Published:Apr. 2024

Visitors:244       Data Files Downloaded:18      
Data Downloaded:2.12 MB      Citations:

Key Words:

digital economy,green development,coupling coordination,QAP

Abstract:

Thirty provinces (Autonomous Region, Municipal Cities) in China were taken as the study area (the data in Xizang, Hong Kong, Macao and Taiwan were unavailable). The authors constructed the index system of digital economy and green development based on the coupling and coordination mechanism of digital economy and green development. The vertical and horizontal slotting method and the coupled coordination degree were used to measure the level of digital economy, the level of green development and the coordination degree between them; GIS spatial analysis, spatial autocorrelation analysis and Dagum’s Gini coefficient were used to reveal the spatial and temporal characteristics of coordination degree, and QAP regression analysis was used to analyze the driving mechanism of the spatial differences in the coupled coordination. The dataset includes the following data in China from 2010 to 2019: (1) temporal changes in the level of digital economy, green development level, and the coordination degree of digital economy and green development in each province; (2) temporal changes in the level of digital economy and green development level in the eastern, central, and western regions; (3) percentage of coupled coordination types; (4) neighborhood spatial weight matrix; (5) spatial autocorrelation types, regional differences and decomposition results of the coordination degree between digital economy and green development; (6) regional difference matrix of the coordination degree between digital economy and green development with each driver factors in each province. The dataset is archived in .xlsx format, and consists of 1 data file with data size of 120 KB. The analysis paper based on the dataset was published at Acta Geographica Sinica, Vol. 79, No. 4, 2023.

Foundation Item:

Ministry of Education, P. R. China (19YJA790005, SWU2009221); Chongqing Municipal Finance Bureau (2021NDYB058)

Data Citation:

XIAO Qinlin, DENG Zongbin. Dataset of Spatio-temporal Characteristics and Mechanism of the Coupling Coordination between Digital Economy and Green Development in China (2010-2019)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2024. https://doi.org/10.3974/geodb.2024.04.09.V1.

References:

[1] Guo, F. Y., Tong, L. J., Qiu, F. D., et al. Spatio-temporal differentiation characteristics and influencing factors of green development in the eco-economic corridor of the Yellow River Basin [J]. Acta Geographica Sinica, 2021, 76(3): 726-739.
     [2] Pan, W. H., He, Z. C., Pan, H. Y. Research on spatiotemporal evolution and distribution dynamics of digital economy development in China [J]. China Soft Science, 2021(10): 137-147.
     [3] Zhou, L., Che, L., Zhou, C. H. Spatio-temporal evolution and influencing factors of urban green development efficiency in China [J]. Acta Geographica Sinica, 2019, 74(10): 2027-2044.
     [4] Gao, Y. Study on green development performance and influencing factors in eight comprehensive economic areas of China [J]. The Journal of Quantitative & Technical Economics, 2019, 36(9): 3-23.
     [5] Gai, M., Qin B., Zheng, X. X. The evolution of the spatiotemporal pattern of the coupling and coordination between economic growth kinetic energy conversion and green development [J]. Geographical Research, 2021, 40(9): 2572-2590.
     [6] Guo, Y. J. New theory and method of dynamic comprehensive evaluation [J]. Journal of Management Sciences in China, 2002(2): 49-54.
     [7] Duan, Y. F., Xu, W. Q., Luo, H. X. Research on coupling coordination between green innovation efficiency and green development efficiency of the Provinces in China [J]. Science and Technology Management Research, 2020, 40(17): 235-243.
     [8] Barnett, G. A. Encyclopedia of social networks [M]. Los Angeles: Sage Publications, 2011.
     [9] Li, H., Dong, Y. L. Does equalization of basic public services narrow the regional gap of the quality of economic growth? [J]. The Journal of Quantitative & Technical Economics, 2020, 37(7): 48-70.
     [10] Tao, C. Q., Xu, M. Measuring the allocation level of China innovation elements from the perspective of economic high-quality development [J]. The Journal of Quantitative & Technical Economics, 2021, 38(3): 3-22.
     

Data Product:

ID Data Name Data Size Operation
1 Digital&GreenCouplingCoordChina.xlsx 120.49KB
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