New perspective, more rational decoupling: A case study of China.

Area of Science:

• Environmental Science
• Economics
• Applied Mathematics

Background:

• Scholars often use a static Tapio decoupling model, leading to errors.
• A dynamic, process-oriented approach is needed for accurate analysis.

Purpose of the Study:

• To propose and validate an improved Tapio decoupling model.
• To investigate the decoupling of China's provincial industrial carbon emissions (ICE) from industrial value-added (IVA) (2005-2020).
• To compare results from conventional and improved models.

Main Methods:

• Developed an improved Tapio decoupling model with a dynamic perspective.
• Applied both conventional and improved models to China's provincial ICE and IVA data (2005-2020).
• Conducted a comparative analysis of model results.

Main Results:

• China's ICE and IVA showed upward trends with provincial variations.
• Provincial IVA increasingly decoupled from ICE, with some achieving strong decoupling (2015-2020).
• Most provinces remained in a weak decoupling state long-term; the conventional model yielded optimistic results.

Conclusions:

• The improved Tapio model provides a more accurate, dynamic assessment.
• Differentiated carbon reduction policies are crucial for provincial equity.
• The improved model is a valuable framework for future decoupling research.