Influential Factors and Spatiotemporal Characteristics of Carbon Intensity on Industrial Sectors in China

Ying Han, Baoling Jin, Xiaoyuan Qi and Huasen Zhou
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Ying Han: School of Business Administration, Northeastern University, Shenyang 110169, China
Baoling Jin: School of Business Administration, Northeastern University, Shenyang 110169, China
Xiaoyuan Qi: School of Business Administration, Northeastern University, Shenyang 110169, China
Huasen Zhou: School of Business Administration, Northeastern University, Shenyang 110169, China

IJERPH, 2021, vol. 18, issue 6, 1-18

Abstract: Based on the extended STIRPAT model and panel data from 2005 to 2015 in 20 industrial sectors, this study investigates the influential factors of carbon intensity, including employee, industry added value, fixed-assets investment, coal consumption, and resource tax. Meanwhile, by expanding the spatial weight matrix and using the Spatial Durbin Model, we reveal the spatiotemporal characteristics of carbon intensity. The results indicate that Manufacturing of Oil Processing and Coking Processing (S7), Manufacturing of Non-metal Products (S10), Smelting and Rolling Process of Metal (S11), and Electricity, Gas, Water, Sewage Treatment, Waste and Remediation (S17) contribute most to carbon intensity in China. The carbon intensity of 20 industrial sectors presents a spatial agglomeration characteristic. Meanwhile, industry added value inhibits the carbon intensity; however, employee, coal consumption, and resource tax promote carbon intensity. Finally, coal consumption appears to have spillover effects, and the employee has an insignificant impact on the carbon intensity of industrial sectors.

Keywords: carbon intensity; Spatial Durbin Model; spatiotemporal characteristic; spillover effect (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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