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基于脱钩模型和向量自回归模型的碳排放与经济发展的关联关系评价——以山西省为例。

Evaluation of linkage relationships between carbon emissions and economic development based on the decoupling model and the VAR model: a case study of Shanxi Province (China).

机构信息

State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan, 232001, Anhui, China.

出版信息

Environ Sci Pollut Res Int. 2023 May;30(25):66651-66664. doi: 10.1007/s11356-023-26924-3. Epub 2023 Apr 26.

Abstract

Economic development is the core driver of carbon emissions. It is of great significance to clarify the linkage relationship between economic development and carbon emissions. Therefore, the static and dynamic relationship between carbon emissions and economic development in Shanxi Province is analyzed by using the VAR model and decoupling model combined with data from 2001 to 2020. The results show that economic development and carbon emissions in Shanxi Province have mainly presented a weak decoupling state in the past 20 years, but the decoupling state is gradually increasing. Meanwhile, carbon emissions and economic development constitute a bidirectional cycle dynamic system. The impact of economic development on itself and carbon emissions account for 60% and 40%, respectively, while the impact of carbon emissions on itself and economic development accounts for 71% and 29%, respectively. This study provides a relevant theoretical basis for solving the problem of excessive dependence on energy consumption in economic development.

摘要

经济发展是碳排放的核心驱动因素。明确经济发展与碳排放之间的关联关系具有重要意义。因此,利用 2001 年至 2020 年的数据,通过 VAR 模型和脱钩模型,分析了山西省碳排放与经济发展之间的静态和动态关系。结果表明,过去 20 年,山西省经济发展与碳排放主要呈现弱脱钩状态,但脱钩状态逐渐增强。同时,碳排放与经济发展构成了一个双向循环的动态系统。经济发展对自身和碳排放的影响分别占 60%和 40%,而碳排放对自身和经济发展的影响分别占 71%和 29%。本研究为解决经济发展中对能源消耗过度依赖的问题提供了相关的理论依据。

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