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Integration Levels and Radiation Capacities Dataset on Urban Agglomeration of China (2006-2019)


QIU Siyuan1
1 Economics and Management School,Wuhan University,Wuhan 430072,China

DOI:10.3974/geodb.2024.11.01.V1

Published:Nov. 2024

Visitors:26       Data Files Downloaded:9      
Data Downloaded:0.78 MB      Citations:

Key Words:

spatial spillover effects of factors,integration,radiation capacity,urban agglomerations

Abstract:

Based on the statistical yearbook from provinces and cities of China, database of Guoyan Net and the CEIC database, the production function embedded in the endogenous spatio-temporal weight matrix was used to decompose the factor spatial spillover effect of 284 cities at prefecture level and above in China during 2006-2019. On this basis, the integration levels and radiation capacities of 19 urban agglomerations of China were calculated (2006-2019). This dataset includes the following data from 2006 to 2019: (1) the spatial spillover effect of 284 urban elements; (2) the integration level of 19 urban agglomerations; and (3) the radiation capacities of 19 urban agglomerations. The dataset is archived in .xlsx format, and consists of 1 data file with data size of 89.3 KB. The analysis paper based on this dataset was published in Geographical Research, Vol. 43, No. 2, 2024.

Foundation Item:

Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences (NIGLAS2022GS06)

Data Citation:

QIU Siyuan.Integration Levels and Radiation Capacities Dataset on Urban Agglomeration of China (2006-2019)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2024. https://doi.org/10.3974/geodb.2024.11.01.V1.

References:


     [1] Qiu, S. Y., Sun, W. Measuring integrative level and analysis of radiative capacity in China's urban agglomerations [J]. Geographical Research, 2024, 43(2): 303-321.
     [2] Su, D., Fang, X., Wu, Q., et al. Exploring the spatiotemporal integration evolution of the urban agglomeration through city networks [J]. Land, 2022, 11(4): 574.
     [3] Li, S. Q., Zhu, P. F. Exploration of integrated evaluation of Yangtze River Delta [J]. Nanjing Journal of Social Science, 2017 (07): 33-40.
     [4] Chen, H. X., Xi, Q. M. Analysis of the horizontal measurement and influencing factors of urban labor market integration in Beijing, Tianjin and Hebei [J]. China Soft Science, 2016 (02): 81-88.
     [5] Liu, Y., Zhang, X., Pan, X., et al. The spatial integration and coordinated industrial development of urban agglomerations in the Yangtze River Economic Belt, China [J]. Cities, 2020, 104: 102801.
     [6] Yao, Z., Ye, K., Xiao, L., et al. Radiation effect of urban agglomerations transportation network: evidence from Chengdu–Chongqing urban agglomeration, China [J]. Land, 2021, 10(5): 520.
     [7] Han, D. Research on the economic radiation nature and intensity of central cities from the perspective of urban agglomeration: Based on the comparative analysis of Beijing-Tianjin-Hebei region and Yangtze River Delta [J]. Urban Development Studies, 2020, 27 (12): 12-16.
     [8] Feng, X. H., Qiu, S. Y. Measurement of urban total factor productivity and analysis of spatial spillover effect of factors in China [J]. Scientia Geographica Sinica, 2024, 44(5): 775-784.
     

Data Product:

ID Data Name Data Size Operation
1 UrbanAggloIntgLevel&RadiCapacity.xlsx 89.31KB
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