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A Coupling Relationship between the Eco-Environment Carrying Capacity and New-Type Urbanization: A Case Study of the Wuhan Metropolitan Area in China

By Min Song and Can Hu

Abstract

Ongoing global urbanization is imposing tremendous pressure on the eco-environment. Research on the coupling of the eco-environment and urbanization has important significance for the sustainable development of urban metropolitan. Looking at the Wuhan Metropolitan Area, which includes nine cities, as a case study area, this paper describes an empirical study done to uncover the interactive coupling relationship between the eco-environment and new-type urbanization in the urban metropolitan area from the perspective of eco-environment carrying capacity. The eco-environment carrying capacity evaluation index system was set up using the pressure-state-response (PSR) model, and then the coupling model was built. The results indicate that the eco-environment carrying capacity in the Wuhan Metropolitan Area is generally sustainable and has three grades. The quality of new-type urbanization in the nine cities in the Wuhan Metropolitan Area shows clear spatial heterogeneity. There are five types of the coupling relationship including moderate coordinated development, elementary coordinated development, reluctant coordinated development, edge of maladjustment, and mild maladjustment between the eco-environment carrying capacity and new-type urbanization level in the Wuhan Metropolitan Area. Therefore, this paper proposes corresponding policies from the aspects of coordinating the industrial division of labor, focusing on the eco-environment carrying threshold and strengthening policy guidance

Topics: eco-environment carrying capacity, new-type urbanization, coupling analysis, Wuhan Metropolitan Area, China, Environmental effects of industries and plants, TD194-195, Renewable energy sources, TJ807-830, Environmental sciences, GE1-350
Publisher: MDPI AG
Year: 2018
DOI identifier: 10.3390/su10124671
OAI identifier: oai:doaj.org/article:e5364f4b3cf64468ac9cd38a048ea6a0
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