Spatial-Temporal Analysis and Driving Factors Decomposition of (De)Coupling Condition of SO 2 Emissions in China

Yue Wang, Lei Shi, Di Chen and Xue Tan
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Yue Wang: School of Environment and Natural Resources, Renmin University of China, Beijing 100872, China
Lei Shi: School of Environment and Natural Resources, Renmin University of China, Beijing 100872, China
Di Chen: School of Environment and Natural Resources, Renmin University of China, Beijing 100872, China
Xue Tan: State Grid Energy Research Institute Co., LTD, Beijing 102209, China

IJERPH, 2020, vol. 17, issue 18, 1-18

Abstract: China has a fast-growing economy and is one of the top three sulfur dioxide (SO 2 ) emitters in the world. This paper is committed to finding efficient ways for China to reduce SO 2 emissions with little impact on its socio-economic development. Data of 30 provinces in China from 2000 to 2017 were collected to assess the decoupling relationship between economic growth and SO 2 emissions. The Tapio method was used. Then, the temporal trend of decoupling was analyzed and the Moran Index was introduced to test spatial autocorrelation of the provinces. To concentrate resources and improve the reduction efficiency, a generalized logarithmic mean Divisia index improved by the Cobb–Douglas function was applied to decompose drivers of SO 2 emissions and to identify the main drivers. Results showed that the overall relationship between SO 2 emissions and economic growth had strong decoupling (SD) since 2012; provinces, except for Liaoning and Guizhou, have reached SD since 2015. The decoupling indexes of neighboring provinces had spatial dependence at more than 95% certainty. The main positive driver was the proportion of the secondary sector of the economy and the main negative drivers were related to energy consumption and investment in waste gas treatment. Then, corresponding suggestions for government and enterprises were made.

Keywords: decoupling analysis; driving factors decomposition; Moran Index; generalized logarithmic mean Divisia index; SO 2 emissions; China (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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