Study on the Spatial Interaction between Urban Economic and Ecological Environment—A Case Study of Wuhan City

Liang Geng, Xinyue Zhao, Yu An (), Lingtong Peng and Dan Ye
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Liang Geng: School of Science, Hubei University of Technology, Wuhan 430068, China
Xinyue Zhao: School of Science, Hubei University of Technology, Wuhan 430068, China
Yu An: School of Science, Hubei University of Technology, Wuhan 430068, China
Lingtong Peng: School of Science, Hubei University of Technology, Wuhan 430068, China
Dan Ye: School of Science, Hubei University of Technology, Wuhan 430068, China

IJERPH, 2022, vol. 19, issue 16, 1-17

Abstract: In order to study the interactive relationship between urban economic and ecological environment, taking Wuhan as an example, Landsat and MODIS remote sensing satellite data and social and economic data were fused with multisource data, and multidimensional indicators were selected to construct the comprehensive evaluation index system of urban economic and ecological environment. The weights were determined by combining subjective and objective methods. Then, the decoupling elasticity coefficient method and spatial autocorrelation model were used to evaluate the dynamic relationship and spatial relationship between economic development and ecological environment in Wuhan from 2014 to 2020. The results showed that there was an interaction between the urban economic and the ecological environment in Wuhan. The ecological level index had a spatial effect, the adjustment of industrial structure had a positive effect on the improvement of the ecological level, and the improvement of the ecological level was also helpful to promote economic development. The typical districts of Huangpi District, Xinzhou District, Jiangxia District, Hannan District, Caidian District, and Hongshan District had superior location and ecological advantages, as well as high development potential. Lastly, on the basis of the empirical analysis results, policy suggestions are made from four aspects: regional differentiated construction, green development, energy consumption, and wetland construction.

Keywords: ecological environment; multisource data fusion; decoupling elasticity coefficient method; spatial autocorrelation model (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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