Dataset of the Impacts of Urban Population Agglomeration and Human Mobility on Economic Performance (September 22 to October 21, 2020)
LEI Weiqian1,2JIAO Limin*2
1 School of Public Administration，Hohai University，Nanjing 211100，China2 School of Resource and Environmental Sciences，Wuhan University，Wuhan 430079，China
DOI:10.3974/geodb.2023.08.07.V1
Published:Aug. 2023
Visitors：2124 Data Files Downloaded：107
Data Downloaded：3.15 MB Citations：
Key Words：
agglomeration effects,network effects,urban scaling laws,human mobility,economic efficiency
Abstract：
We utilize Baidu's migration platform data to obtain migration data on day-by-day human mobility between Chinese prefectural-level and above cities in the country between September 22 and October 21, 2020. And based on China’s Urban Construction Statistical Yearbook and China's Urban Statistical Yearbook to obtain urban population size, regional gross domestic product (GDP) and other related statistical data. The standardized regression coefficients, Lindeman-Merenda Gold (LMG), partial correlation, and other methods were utilized to measure the relative contribution of agglomeration and network effects to economic performance. Then the dataet of the impacts of urban population agglomeration and human mobility on economic performance (September 22 to October 21, 2020) was obtained. The dataset includes the following data: (1) urban population size, human mobility between cities and GDP; (2) relative contribution of agglomeration and network effect variables to GDP. The dataset is archived in .xlsx format in one data file. The data size is 30.1 KB. The analys paper based on the dataset was published at the Acta Geographica Sinica, Vol. 78, No. 8, 2023.
Foundation Item：
National Natural Science Foundation of China, No.41971368
Data Citation：
LEI Weiqian, JIAO Limin*. Dataset of the Impacts of Urban Population Agglomeration and Human Mobility on Economic Performance (September 22 to October 21, 2020)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2023. https://doi.org/10.3974/geodb.2023.08.07.V1.
References：
[1] Department of Urban Socio-Economic Statistics, National Bureau of Statistics, P. R. China. Urban Statistical Yearbook: 2021 [M]. Beijing: China Statistics Press, 2021.
[2] Ministry of Housing and Urban-Rural Development, P. R. China. Urban Construction Statistical Yearbook: 2020 [M]. Beijing: China Statistics Press, 2020.
[3] Ribeiro, H. V., Rybski, D., Kropp, J. P. Effects of changing population or density on urban carbon dioxide emissions [J]. Nature Communications, 2019, 10(1): 3204.
[4] Alves, L. G. A., Rybski, D., Ribeiro, H. V. Commuting network effect on urban wealth scaling [J]. Scientific Reports, 2021, 11(1): 22918.
[5] Lei, W. Q., Jiao, L. M., Xu, Z., et al. Scaling of urban economic outputs: insights both from urban population size and population mobility [J]. Computers, Environment and Urban Systems, 2021, 88: 101657.
[6] Bonaventura, M, Aiello, L. M, Quercia, D., et al. Predicting urban innovation from the US workforce mobility network [J]. Humanities and Social Sciences Communications, 2021, 8(1): 1-9.
[7] Jiao, L. M., Lei, W. Q., Xu G, et al. Urban scaling in China and spatial-temporal characteristics of scaling exponent[J]. Acta Geographica Sinica, 2020, 75(12): 2744-2758.
[8] Lei, W. Q., Jiao, L. M., Xu, G., et al. Urban scaling in rapidly urbanising China [J]. Urban Studies. 2022, 59(9): 1889-1908.
Data Product:
| ID |
Data Name |
Data Size |
Operation |
| 1 |
Agglom.MobilityEconomic.xlsx |
30.14KB |
|