Dataset List

Vol.|Area

No.11 Vol.11,2024
No.10 Vol.11,2024
No.09 Vol.11,2024
No.08 Vol.11,2024
No.07 Vol.11,2024
No.06 Vol.11,2024
No.05 Vol.11,2024
No.04 Vol.11,2024
No.03 Vol.11,2024
No.02 Vol.11,2024
No.01 Vol.11,2024
No.12 Vol.10,2023
No.11 Vol.10,2023
No.10 Vol.10,2023
No.09 Vol.10,2023
No.08 Vol.10,2023
No.07 Vol.10,2023
No.06 Vol.10,2023
No.05 Vol.10,2023
No.04 Vol.10,2023
No.03 Vol.10,2023
No.02 Vol.10,2023
No.01 Vol.10,2023
No.12 Vol.9,2022
No.11 Vol.9,2022
No.10 Vol.9,2022
No.09 Vol.9,2022
No.08 Vol.9,2022
No.07 Vol.9,2022
No.06 Vol.9,2022
No.05 Vol.9,2022
No.04 Vol.9,2022
No.03 Vol.9,2022
No.02 Vol.9,2022
No.01 Vol.9,2022
No.12 Vol.8,2021
No.11 Vol.8,2021
No.10 Vol.8,2021
No.09 Vol.8,2021
No.08 Vol.8,2021
No.07 Vol.8,2021
No.06 Vol.8,2021
No.05 Vol.8,2021
No.04 Vol.8,2021
No.03 Vol.8,2021
No.03 Vol.8,2021
No.02 Vol.8,2021
No.01 Vol.8,2021
No.09 Vol.7,2020
No.08 Vol.7,2020
No.07 Vol.7,2020
No.06 Vol.7,2020
No.05 Vol.7,2020
No.04 Vol.7,2020
No.03 Vol.7,2020
No.02 Vol.7,2020
No.01 Vol.7,2020
No.06 Vol.6,2019
No.05 Vol.6,2019
No.04 Vol.6,2019
No.03 Vol.6,2019
No.02 Vol.6,2019
No.01 Vol.6,2019
No.08 Vol.5,2018
No.07 Vol.5,2018
No.06 Vol.5,2018
No.05 Vol.5,2018
No.04 Vol.5,2018
No.03 Vol.5,2018
No.02 Vol.5,2018
No.01 Vol.5,2018
No.04 Vol.4,2017
No.03 Vol.4,2017
No.02 Vol.4,2017
No.01 Vol.4,2017
No.09 Vol.3,2016
No.08 Vol.3,2016
No.07 Vol.3,2016
No.06 Vol.3,2016
No.05 Vol.3,2016
No.04 Vol.3,2016
No.03 Vol.3,2016
No.02 Vol.3,2016
No.01 Vol.3,2016
No.02 Vol.2,2015
No.01 Vol.2,2015
No.02 Vol.1,2014
No.01 Vol.1,2014
China
Asia
Oceanic region
African
European
North American
South American
Arctic
Global Scale
Data Details

Dataset of Spatiotemporal Evolution and Mechanism about High-Quality Development Convergence Clubs of 13 Urban Agglomerations of China


ZHANG Weili1
1 College of Resource and Environments，Henan University of Economics and Law，Zhengzhou 450046，China

DOI:10.3974/geodb.2024.02.08.V1

Published:Feb. 2024

Visitors：570       Data Files Downloaded：79      
Data Downloaded：22.31 MB      Citations：

Key Words：

urban agglomerations,high-quality development,club convergence,formation mechanism

Abstract：

The author took 174 cities in 13 urban agglomerations of China as the research objects, and constructed a high-quality development indicator system of cities from six aspects: economic development, social security, social equity, achievement sharing, environment quality and spatial connection. The traditional Markov chain and spatial Markov chain were used to analyze the spatiotemporal evolution of convergence clubs, and further examine its formation mechanism. Then the dataset of spatiotemporal evolution and mechanisms about high-quality development convergence clubs of cities within urban agglomerations was obtained. The dataset includes the following data: (1) time series changes of urban high-quality development index in urban agglomerations; (2) time series changes of high-quality development index among urban agglomerations at different development stages; (3) urban high-quality development convergence clubs in urban agglomerations; (4) the distribution changes of Kernel density function for high quality development index under different situations; (5) QAP correlation analysis on the difference matrix of influencing factors for urban high-quality development in urban agglomerations; (6) test results of influencing factors for urban high-quality development convergence club in urban agglomerations. The dataset is archived in .xlsx format, and consists of one file with data size of 286 KB. The analysis paper based on the dataset was published in Acta Geographica Sinica, Vol. 78, No. 12, 2023.

Foundation Item：

National Natural Science Foundation of China (41771124); The Education Department Henan Province (2024-YYZD-02)

Data Citation：

ZHANG Weili.Dataset of Spatiotemporal Evolution and Mechanism about High-Quality Development Convergence Clubs of 13 Urban Agglomerations of China[J/DB/OL]. Digital Journal of Global Change Data Repository, 2024. https://doi.org/10.3974/geodb.2024.02.08.V1.

References：


     [1] Guo, Y. J. New theory and method of dynamic comprehensive evaluation [J]. Journal of Management Sciences in China, 2002, 5(2): 49-54.
     [2] Nie, C. F., Jian, X. H. Measurement of China's high-quality development and analysis of provincial status [J]. Journal of Quantitative & Technological Economics, 2020, 37(2): 26-47.
     [3] Qu, X. E., Liu, L. Impact of environmental decentralization on high-quality economic development [J]. Statistical Research, 2021, 38(3): 16-29.
     [4] Fang, C. L., China's urban agglomeration and metropolitan area construction under the new development pattern [J]. Economic Geography, 2021, 41(4): 1-7.
     [5] Xiao, D., Yu, F. A measurement and comparative Analysis of high-quality economic development of Chinese urban agglomerations [J]. Journal of Macro-quality Research, 2021, 9(3): 86-98.
     [6] Zhang, W. L., Qin, C. L. Analyzing regional economic growth club convergence in China based on the perspective of spatiotemporal coupling [J]. Geography and Geo-Information Science, 2016, 32(2): 77-82, 127.
     [7] Zhang, W. L. Hypothesis Testing and Interpretation on Regional Economic Growth Club Convergence [J]. Scientia Geographica Sinica, 2018, 38(2): 258-263.
     [8] Zhang, W. L., Wei, R. B., Wang, Y. B., et al. The pattern and evolution of high-quality economic development convergence clubs in the Yellow River Basin [J]. Ecological Economy, 2023, 39(4): 58-66+88.
     [9] Tong, M. H., Chu, C. C. Li, Y. Research on the distribution dynamics, regional differences and convergence of China's high-quality economic development [J]. Journal of Quantitative & Technological Economics, 2022, 39(6): 3-22.
     [10] Chen, Z. X., Qing, M. Research on the measurement of the high-quality development level of China's urban agglomerations and its temporal and spatial convergence [J]. The Journal of Quantitative & Technical Economics, 2022(6): 42-60.
     [11] Zhang, W. L., Yan, J. J., Nie, G. B. Evolution of the pattern of China's urban population flows and its proximate determinants [J]. Chinese Journal of Population Science, 2021(2): 76-87, 127-128.
     [12] Zhang, W. L., Hao, Z. j., Wang, Y. B., et al. Spatial network and influencing factors of population flow in urban agglomeration [J]. Scientia Geographica Sinica, 2023, 43(1): 72-81.
     [13] Zhang, W. L., Fu, J. B., Ju, Q. A study on the model of economic growth convergence in developing regions: An Empirical analysis from Henan province, China [J]. Empirical Economics, 2020, 59(2): 547-567.
     

Data Product:

ID Data Name Data Size Operation
1 HighQualityDevelopConvergClubs.xlsx 289.15KB
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