Decoupling Regional Economic Growth from Industrial CO 2 Emissions: Empirical Evidence from the 13 Prefecture-Level Cities in Jiangsu Province

Jingxing Liu, Hailing Li and Tianqi Liu
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Jingxing Liu: School of Economics and Finance, Huaqiao University, Quanzhou 362021, China
Hailing Li: Business School, Hunan Agricultural University, Changsha 410125, China
Tianqi Liu: Xiamen National Accounting Institute, Xiamen 361005, China

Sustainability, 2022, vol. 14, issue 5, 1-20

Abstract: Amid global climate warming, it is necessary to explore the decoupling relationship between economic growth (EG) and industrial CO 2 emissions (ICEs). This paper uses the Tapio decoupling model and the logarithmic mean Divisia index (LMDI) model synthetically to analyze the decoupling relationship between EG and ICEs and reveal the driving force of growth of CO 2 emissions (CEs) based on ICE panel data from 13 prefecture-level cities in Jiangsu province from 2011 to 2015. From the research results, it can be seen that the decoupling status in southern Jiangsu, middle Jiangsu and northern Jiangsu presented weak decoupling (WD), weak negative decoupling (WND) and WD, respectively. In 2011–2013, seven prefecture-level cities exhibited states of WD, and strong decoupling (SD) occurred only in Zhenjiang, with a decoupling index value of −0.3359. In 2013–2015, five prefecture-level cities exhibited states of WD. The energy intensity and carbon emission intensity had negative inhibitory effects on ICEs, and economic development and the energy structure had positive promotion effects on ICEs. The research results have important theoretical and practical significance for future energy savings, carbon emissions reductions and the realization of a low-carbon economy in the economic development of Jiangsu.

Keywords: economic growth; industrial CO 2 emissions; LMDI model; Jiangsu; sustainable development (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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