Coupling coordination between carbon emissions and the eco-environment in China

JOURNAL OF CLEANER PRODUCTION

卷:276

Article

Chen, Jiandong¹  Li, Zhiwen¹  Dong, Yizhe²  Song, Malin³  Shahbaz, Muhammad⁴  Xie, Qianjiao³ 

[1] Southwestern Univ Finance & Econ, Sch Publ Adm, Chengdu 611130, Sichuan, Peoples R China

[2] Univ Edinburgh, Univ Edinburgh Business Sch, 29 Buccleuch Pl, Edinburgh EH8 9JS, Midlothian, Scotland

[3] Anhui Univ Finance & Econ, Sch Stat & Appl Math, Bengbu 233030, Anhui, Peoples R China

[4] Beijing Inst Technol, Ctr Energy & Environm Policy Res, Beijing 100081, Peoples R China

关键词: China;    Carbon emissions;    Eco-environment;    Coupling coordination model;    LMDI;   

DOI  :  10.1016/j.jclepro.2020.123848

来源: Elsevier

【 摘 要 】

Understanding the coupling mechanisms between carbon emissions and the eco-environment is essential for building sustainable economies. Based on the coupling coordination model, this paper investigates the coordination degree of carbon emissions and the eco-environment in China from 2009 to 2015. The Logarithmic Mean Divisia Index decomposition method was used to identify the key factors affecting the coordination degree. Furthermore, different scenarios were simulated to show the impact of changes in government priorities on the coordination degree. The results show that the dynamic relationship between carbon emissions and the eco-environment in China has reached a barely balanced stage, but a few provinces are still struggling with imbalances. The coordination level of carbon emissions and the eco-environment becomes the key factor affecting coordinated development, while the interaction intensity has a limited effect. Further analysis indicated that although the carbon emission evaluation value has a positive effect on promoting an increase in the coordination degree, the eco-environment evaluation value determines the trend of coordinated regional development. Moreover, the priorities of government policymakers have a substantial impact on coordinated development, but these impacts gradually diminish as the differences in evaluation values decrease. These findings contribute to the formulation of effective regional sustainable development strategies. (C) 2020 Elsevier Ltd. All rights reserved.

【 授权许可】

Free