DataSheet1_Spatial Spillover and Interaction Between High-Tech Industrial Agglomeration and Urban Ecological Efficiency.xlsx (479.71 kB)
Download file

DataSheet1_Spatial Spillover and Interaction Between High-Tech Industrial Agglomeration and Urban Ecological Efficiency.xlsx

Download (479.71 kB)
dataset
posted on 21.03.2022, 05:23 authored by Mengxin Wang, Yanling Li, Gaoke Liao

The spatial relationship between high-tech industrial agglomeration and urban ecological efficiency has been a widespread concern. This study empirically analyzed the bidirectional influence relationship between high-tech industrial agglomeration and urban ecological efficiency and its spatial spillover effect by constructing a spatial simultaneous equation model, and based on the classification of urban resource endowment, this paper studies the heterogeneity of spatial spillover effects between high-tech industrial agglomeration and urban ecological efficiency based on the sample data of 285 cities in China from 2004 to 2017. The empirical results reveal the following: first, there is a two-way promoting effect between high-tech industrial agglomeration and urban ecological efficiency; second, there is a significant spatial spillover effect of urban ecological efficiency, that is, the urban ecological efficiency in this region is significantly positively correlated with the urban ecological efficiency in neighboring regions; third, there is a significant difference in the regional interaction between high-tech industry agglomeration and urban eco-efficiency, that is, the urban eco-efficiency in the neighboring areas has a significant negative impact on the regional high-tech industry agglomeration, while the high-tech industry agglomeration in the neighboring areas has a negative but not significant impact on the regional urban eco-efficiency; fourth, the spatial interaction spillover effects between high-tech industrial agglomeration and urban ecological efficiency are heterogeneous in terms of regional resources, and the results of regional interaction and spatial spillover effects are better in the sample study.

History

References