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Data Details

Dataset on Development Quality and Influencing Factors in 276 Cities of China in Fifteen Years (2005-2020)


FU Runde1,2YANG Zhenshan1,2
1 Key Laboratory of Regional Sustainable Development Modeling，Institute of Geographic Sciences and Natural Resources Research，Chinese Academy of Sciences，Beijing100101，China2 University of Chinese Academy of Sciences，Beijing100049，China

DOI:10.3974/geodb.2024.04.05.V1

Published:Apr. 2024

Visitors：601       Data Files Downloaded：206      
Data Downloaded：429.71 MB      Citations：

Key Words：

cities,development quality,convergence clubs,influencing factors

Abstract：

Focused on 276 cities of China, take five dimensions of innovation, coordination, greenness, development and sharing, the authors use the spatial analysis, club convergence test and spatial econometric model to analyze the spatial and temporal evolution characteristics of China's cities development quality from 2005 to 2020, and identify the major influencing factors in the process. As one of the outputs of the research, the dataset of spatial and temporal evolution, convergence clubs and influencing factors of the development quality for 276 cities was developed. The dataset includes: (1) the temporal evolution of development quality of 276 cities from 2005 to 2020 and identification result of convergence clubs; (2) identification results of convergence clubs in different regions; (3) the panel data of influencing factors for development quality of cities and the Global Moran's I Index; (4) three spatial weight matrices used in spatial econometric models. The dataset is archived in .xlsx format in 1 data file with data size of 2.08 MB. The analysis paper based on the dataset was published in the Acta Geographica Sinica, Vol. 79, No.4, 2024.

Foundation Item：

National Natural Science Foundation of China (42271249, 42142022)

Data Citation：

FU Runde, YANG Zhenshan.Dataset on Development Quality and Influencing Factors in 276 Cities of China in Fifteen Years (2005-2020)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2024. https://doi.org/10.3974/geodb.2024.04.05.V1.

References：


     [1] Cui, D., Bu, X. Y., Xu, Z., et al. Comprehensive evaluation and impact mechanism of high-quality development of China's resource-based cities. Acta Geographica Sinica, 2021, 76(10): 2489-2503.
     [2] Fan, G., Wang, X. L., Zhu, H. P. China Marketization Index. Beijing: Economic Science Press, 2010.
     [3] Gao, J., Wu, P. L. Impact of urban population size on urban economic growth. Urban Problems, 2016(6): 4-13.
     [4] Huang, Q. H., Yu, Y. Z., Zhang, S. L. Internet development and productivity growth in manufacturing industry: Internal mechanism and China experiences. China Industrial Economics, 2019(8): 5-23.
     [5] Jin, B. Study on the "high-quality development" economics. China Industrial Economics, 2018(4): 5-18.
     [6] Liu, B. L., Qin, W. J. Spatial distribution and dynamic evolution of China's high-quality economic development level. China Soft Science, 2022(1): 62-75.
     [7] Ma, H. T., Xu, Y. F. High-quality development assessment and spatial heterogeneity of urban agglomeration in the Yellow River Basin. Economic Geography, 2020, 40(4): 11-18.
     [8] Sun, J. W., Jiang, Z. Paths of high-quality development in China's coastal areas. Acta Geographica Sinica, 2021, 76 (2): 277-294.
     [9] Tu, J. J., Kuang, R. R., Mao, K., et al. Evaluation on high-quality development of Chengdu- Chongqing urban agglomeration. Economic Geography, 2021, 41(7): 50-60.
     [10] Wei, S. H., Wu, G. S., Lv, X. L. The influence factors of regional innovation capability: A review on the regional disparity of Chinese innovation capability. China Soft Science, 2010(9): 76-85.
     [11] Yang, Y. W., Zhang, P. Logic, measurement and governance in China's high-quality economic development. Economic Research Journal, 2021, 56(1): 26-42.
     [12] Ye, Q., Zeng, G., Dai, S. Q., et al. Research on the effects of different policy tools on China's emissions reduction innovation: Based on the panel data of 285 prefectural-level municipalities. China Population, Resources and Environment, 2018, 28(2): 115-122.
     [13] Yuan, J. M. Explore the significance of binary contrast index. Statistics & Decision, 2008(1): 154-156.
     [14] Zhang, G. J., Wang, Y. Z., Chen, Y., et al. Spatio-temporal characteristics and differentiation mechanism of high-quality development in urban agglomerations in China. Geographical Research, 2022, 41(8): 2109-2124.
     [15] Zheng, Y. Q., Cui, X. X. Measurement and regional disparity for high-quality development of urbanization: On the perspective of new development concept. East China Economic Management, 2021, 35(6): 79-87.
     [16] Zhu, J. G., Xu, J. W., Li, X. J., et al. Impact of land urbanization and population urbanization on economic growth in China. Scientia Geographica Sinica, 2020, 40(10):1654-1662.
     

Data Product:

ID Data Name Data Size Operation
1 276CitiesDevelopmentqualityChina.xlsx 2136.06KB
Co-Sponsors

Institute of Geographic Sciences and Natural Resources Research，Chinese Academy of Sciences

The Geographical Society of China

Parteners

Committee on Data for Science and Technology (CODATA) Task Group on Preservation of and Access to Scientific and Technical Data in/for/with Developing Countries (PASTD)

Jomo Kenyatta University of Agriculture and Technology

Digital Linchao GeoMuseum