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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:618       Data Files Downloaded:21      
Data Downloaded:1.83 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
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