Study on the decoupling relationship of energy-related CO2 emissions and economic growth in China: Using the new two-dimensional decoupling model. (October 2022)

• Record Type: Journal Article
• Authors: Liu, Xiaoxiao; Zhong, Shuiying; Yang, Mian
• Is Part Of: Ecological indicators. Volume 143(2022)
• Publication Date: 2022-10
• Subjects: Decoupling relationship -- Energy-related CO2 emissions -- Two-dimensional decoupling model -- Dynamic path analysis; Environmental monitoring -- Periodicals; Environmental management -- Periodicals; Environmental impact analysis -- Periodicals; Environmental risk assessment -- Periodicals; Sustainable development -- Periodicals; 333.71405
• DOI: 10.1016/j.ecolind.2022.109405
• Languages: English
• ISSNs: 1470-160X

Abstract

Highlights: A new Two-dimensional decoupling model was constructed. The static and dynamic two-dimensional decoupling state of China's 30 provinces from 2000 to 2019 was analyzed. The decoupling state of economic growth and CO2 emissions of 30 provinces was discussed in two decoupling models. Abstract: The traditional Tapio decoupling model can not discriminate the decoupling state of a country or region with multiple levels of economic development. Based on this, this paper introduces the economic growth index into the Tapio decoupling model for the first time, and constructs a new two-dimensional decoupling (TDD) model. Through the TDD analysis of economic growth and CO2 emissions of 30 provinces in China from 2000 to 2019, the three main conclusions can be drawn: (1) the economic development level of the developed eastern provinces is at the medium or high state and the economic growth does not highly depend on energy consumption; (2) The economy of the central and western provinces is at the low or middle level, their economic growth relies too much on energy consumption; (3) The dynamic path of TDD state of 23 provinces is ascendant and the remaining 7 provinces are fluctuant over the 4 sub-periods. Provincial governments should adjust industrial and energy structures based on their local conditions to reduce carbon emissions, as well achieve the ideal TDD state of economic growth and CO2 emissions, that is, Strong Decoupling-High economic state (SD-HS).