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Article

Coupling and Coordination Relationship between Economic and Ecologic-Environmental Developments in China’s Key State-Owned Forest Areas

1
Beijing Key Lab of Study on Sci-Tech Strategy for Urban Green Development, School of Economics and Resource Management, Beijing Normal University, Beijing 100875, China
2
Business School, Shanghai DianJi University, Shanghai 200036, China
3
School of Statistics and Mathematics, Shanghai Lixin University of Accounting and Finance, Shanghai 201209, China
*
Authors to whom correspondence should be addressed.
Sustainability 2022, 14(23), 15899; https://doi.org/10.3390/su142315899
Submission received: 19 October 2022 / Revised: 18 November 2022 / Accepted: 25 November 2022 / Published: 29 November 2022
(This article belongs to the Special Issue Forest Growth Monitoring and Sustainable Management)

Abstract

China’s key state-owned forest areas are important ecological conservation areas and its forest management belongs to several forest industry groups. Therefore, the ecological improvement and economic development of the key state-owned forest areas should be balanced. This study developed an integrated evaluation model of coupling and coordination, by employing the data of the key forest areas from 2001 to 2019, to investigate the coupling and coordination relationship between the efficiency of economic development and the level of ecological development, using the DEA model. The results suggest that the indices of ecological development in the key state-owned forest areas increased from 2001 to 2019, and especially in 2015, to a better status, due to the policy of completely stopping logging. The other finding was that the coupling degree between the efficiency of economic development and the level of ecological development was in an antagonistic stage, which showed a slow upward trend of the coupling degree and coupling coordination degree and then evolved to a medium and high coordination coupling situation. The reason was that, with the implementation of the ecological protection policy and the industrial transformation of the forest industry group, the ecological environment improved and the development of enterprises was further optimized. Moreover, this study further identified the main factors that affect the coupling and coordination degree of the key state-owned forest areas, including the proportion of tertiary industry, economic growth rate, forest park area, and investment in wildlife and plant protection and natural resource conservation areas. The factors were divided into three principal components. The most significant impact on the economic and ecological coupling coordination of the key state-owned forest areas was the first principal component, meaning that ecological improvement was the most important factor. The second principal component was mainly social coupling coordination, while the third principal component had little effect on economic and ecological coupling coordination.
Keywords: entropy weight method; principal components analysis; ecological environment; economic development entropy weight method; principal components analysis; ecological environment; economic development

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MDPI and ACS Style

Jiang, Y.; Wang, Y.; Wang, R. Coupling and Coordination Relationship between Economic and Ecologic-Environmental Developments in China’s Key State-Owned Forest Areas. Sustainability 2022, 14, 15899. https://doi.org/10.3390/su142315899

AMA Style

Jiang Y, Wang Y, Wang R. Coupling and Coordination Relationship between Economic and Ecologic-Environmental Developments in China’s Key State-Owned Forest Areas. Sustainability. 2022; 14(23):15899. https://doi.org/10.3390/su142315899

Chicago/Turabian Style

Jiang, Yue, Yufang Wang, and Rui Wang. 2022. "Coupling and Coordination Relationship between Economic and Ecologic-Environmental Developments in China’s Key State-Owned Forest Areas" Sustainability 14, no. 23: 15899. https://doi.org/10.3390/su142315899

APA Style

Jiang, Y., Wang, Y., & Wang, R. (2022). Coupling and Coordination Relationship between Economic and Ecologic-Environmental Developments in China’s Key State-Owned Forest Areas. Sustainability, 14(23), 15899. https://doi.org/10.3390/su142315899

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