
A Study on the Link Between Economic Growth and Carbon Emissions in Jiangxi Province: An Empirical Approach Using Decoupling Theory
- 1 School of Economics and Management, China University of Geosciences Beijing, Beijing, 100083, China
* Author to whom correspondence should be addressed.
Abstract
As global climate change intensifies, carbon emissions have become a paramount concern for policymakers and researchers. These emissions undermine ecosystem integrity and pose considerable obstacles to economic development and long-term sustainability. As the world’s largest carbon emitter, China faces substantial pressure to mitigate its emissions. Jiangxi Province, a critical region in the country, has experienced rapid economic growth, driving significant research into the relationship between energy consumption and carbon emissions. This paper examines data from 2010 to 2022, including Jiangxi’s GDP and total energy consumption, to estimate carbon emissions. In addition, through rigorous correlation and regression analyses, a significant positive association between carbon emissions and economic growth is identified, culminating in the development of a univariate regression model to quantitatively assess this relationship. Employing the Tapio decoupling elasticity method, the study evaluates the dynamic decoupling relationship between carbon emissions and economic growth, revealing a state of weak decoupling. The results indicate that despite a reduction in carbon intensity relative to economic growth, Jiangxi’s total carbon emissions continue to rise. To achieve absolute decoupling, the province will need to implement more effective and comprehensive policy measures.
Keywords
Economic Growth, Carbon Emissions, Correlation and Regression, Decoupling Relationship, Jiangxi Province
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Cite this article
Xu,Y. (2025). A Study on the Link Between Economic Growth and Carbon Emissions in Jiangxi Province: An Empirical Approach Using Decoupling Theory. Advances in Economics, Management and Political Sciences,159,20-28.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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