2019
DOI: 10.3390/su11040991
|View full text |Cite
|
Sign up to set email alerts
|

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

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 moderniza… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
11
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 14 publications
(11 citation statements)
references
References 27 publications
0
11
0
Order By: Relevance
“…Index system for urbanization and the eco-environment assessment The relevant research results are thoroughly taken into account when establish the index system to better assess the coupling coordination degree between urbanization and the eco-environment in Mongolia (Ding et al, 2015;Li et al, 2019;Yao et al, 2019). Urbanization is a comprehensive development process of various aspects.…”
Section: 2mentioning
confidence: 99%
“…Index system for urbanization and the eco-environment assessment The relevant research results are thoroughly taken into account when establish the index system to better assess the coupling coordination degree between urbanization and the eco-environment in Mongolia (Ding et al, 2015;Li et al, 2019;Yao et al, 2019). Urbanization is a comprehensive development process of various aspects.…”
Section: 2mentioning
confidence: 99%
“…where M i is the evaluation index; w i is the weight. For more details on the operational steps, refer to Li et al and Li et al [18,19]. The CCDM evaluates the degree of correlation between two or more systems and is often used in research on urbanization, ecologicalization, population growth, and innovation capacity building.…”
Section: Entropy Weight Methodsmentioning
confidence: 99%
“…A way to distinguish the importance of these indicators in each system is to assign them different weights. The variation coefficient method is based on the information contained in the index data to evaluate the importance of difference indexes, which is a method of objectively calculating weights [39,40]. The variation coefficient method believes that when the variation degree of the indicator is greater, the ability of the indicator to distinguish different evaluated objects should then be stronger, and the weight should be larger [41].…”
Section: Methodsmentioning
confidence: 99%