Simulation Dataset of Population Spatial Equilibrium in the Yangtze River Delta Region (2020)
CHENG Chen1
1 School of Finance and Public Administration,Shanghai Lixin University of Accounting and Finance,Shanghai 201209,China
DOI:10.3974/geodb.2024.02.09.V1
Published:Feb. 2024
Visitors:3086 Data Files Downloaded:74
Data Downloaded:1.45 MB Citations:
Key Words:
population spatial equilibrium,spatial structure,labor migration,Yangtze River Delta
Abstract:
The Yangtze River Delta Region includes three provinces (Jiangsu, Zhejiang, and Anhui) and one city (Shanghai), consisting of 41 prefecture level cities. The author put forward a theoretical model of multi-regional population spatial equilibrium (RESPE) based on the regional wage rate, human climate suitability index, urban crowding degree, and distance. Then the RESPE was utilized to analyze the equilibrium population spatial distribution under current economic, social, environmental, and population conditions, to obtain the simulation dataset of population spatial equilibrium in the Yangtze River Delta Region (2020). The dataset includes the following data in Yangtze River Delta Region in 2020: (1) equilibrium state for population density in 41 cities; (2) equilibrium population and equilibrium level in the quasi-equilibrium area; (3) differences in population spatial equilibrium in 41 cities; (4) equilibrium population and equilibrium level in attractive areas; (5) equilibrium population and equilibrium level in repulsive areas. This dataset is archived in .xlsx data format, and consists of one file with data size of 20 KB. The research paper based on the dataset was published at Acta Geographica Sinica, Vol. 79, No. 2, 2024.
Foundation Item:
National Social Science Foundation of China (18ZDA132)
Data Citation:
CHENG Chen. Simulation Dataset of Population Spatial Equilibrium in the Yangtze River Delta Region (2020)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2024. https://doi.org/10.3974/geodb.2024.02.09.V1.
References:
[1] Hunt, G. L. Equilibrium and disequilibrium in migration modelling. Regional Studies [J], 1993, 27(4): 341-349.
     [2] Graves, P. E., Linneman, P. D. Household migration: Theoretical and empirical results. Journal of Urban Economics [J], 1979, 6(3): 383-404.
     [3] Fan, L. D. Commentary on equilibrium and disequilibrium in migration modelling. Chinese Journal of Population Science [J], 1994 (5): 1-7.
     [4] Schachter, J., Althaus, P. G. An equilibrium model of gross migration. Journal of Regional Science [J], 1989, 29(2): 143-159.
     [5] Krugman, P. Innovation and agglomeration: Two parables suggested by city-size distributions: comment [J]. Japan & the World Economy, 1995, 7 (4): 371-390.
     [6] Ding, J. H., Liu Z. Y., Cheng D. M., et al. Areal differentiation of inter-provincial migration in China and characteristics of the flow field. Acta Geographica Sinica [J], 2005, 60(1): 106-114.
     [7] Gu, G. X., Wang, Z. Agent-based simulation on the evolution and development of regional spatial structure with technology and capital diffusion in China. Acta Geographica Sinica [J], 2014, 69(6): 808-822.
     
Data Product:
ID |
Data Name |
Data Size |
Operation |
1 |
RESPE_YangtzeRiverDelta.xlsx |
20.08KB |
|