Spatial-Temporal Variance of Coupling Relationship between Population Modernization and Eco-Environment in Beijing-Tianjin-Hebei

Meicun Li and Chunmei Mao
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Meicun Li: Business School, Hohai University, Nanjing 211100, China
Chunmei Mao: School of Public Administration, Hohai University, Nanjing 211100, China

Sustainability, 2019, vol. 11, issue 4, 1-13

Abstract: Steady population growth promotes economic and societal progress, and the symbiotic coordination between the ecological environment and the local population is the necessary requirement for realizing sustainability. We used population modernization and ecological environment data of the Beijing-Tianjin-Hebei from 2005 to 2016 to construct two index systems. We used the variation coefficient method, the coupling degree model, and a geographical detector to analyze the coordination degree of population modernization and the ecological environment. The results showed that: (1) From 2005 to 2016, the coupling degree was stable at a high level, the degree of coordination increased, and the growth rate decreased; (2) From the perspective of spatial distribution, the types of good harmony and high harmony were located in the middle, eastern, and western regions. The adjacent disorder and moderate disorder regions were distributed in the north and south sides; (3) Through influence detection, we found the main factors that influenced the spatial distribution of coordination degree were the natural population growth rate, health technicians/10,000 people, etc. These factors had some characteristics of space-time heterogeneity. Such results can contribute to the understanding of characteristics of population-environment development in different regions, promoting sustainable development of regional environment in Beijing-Tianjin-Hebei.

Keywords: Beijing-Tianjin-Hebei urban agglomeration; population modernization; ecological environment; coupling coordination degree; time heterogeneity analysis; spatial heterogeneity analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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