Decomposition and decoupling analysis between economic growth and carbon emissions at the regional level: Evidence from six central provinces, China
Wensheng Wang, Xuanyi Zhu, Xiaoxuan Kao, Hui Wei
TL;DR
This study analyzes the relationship between economic growth and carbon emissions in six central Chinese provinces to support national carbon reduction goals.
Contribution
The study introduces a combined approach using the Tapio model, LMDI method, and enhanced STIRPAT model to analyze decoupling trends and future projections.
Findings
The six central provinces showed stable decoupling between 2000 and 2019, with decoupling indices ranging from -1.2 to 3.4.
Economic development and energy intensity are the main factors influencing decoupling performance.
Anhui, Hubei, Henan, and Hunan are projected to show strong decoupling, while Shanxi and Jiangxi may experience reverse decoupling by 2040.
Abstract
As the six central provinces account for 23% of total national carbon emissions (CE), research into the decoupling status of their economic growth (EG) and carbon emissions is critical to achieving the Dual Carbon Goals and the Rise of Central China Plan. This research initially examines the decoupling status between CE and EG using the Tapio decoupling model, based on energy consumption (EC) dataset from six central provinces in China between 2000 and 2019. The decoupling index (DI) is then divided into five decoupling drivers using the LMDI method. Finally, an enhanced STIRPAT model is used to examine the decoupling status of CE and EG in the six central provinces from 2020 to 2040. The research findings are: (1) The six central provinces exhibited a stable decoupling status between 2000 and 2019. The DI of the six central provinces ranged from -1.2 to 3.4. (2) The decoupling…
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Taxonomy
TopicsEnvironmental Impact and Sustainability · Energy, Environment, Economic Growth · Climate Change Policy and Economics