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Article

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

School of Business Administration, Northeastern University, Shenyang 110169, China
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Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2021, 18(6), 2914; https://doi.org/10.3390/ijerph18062914
Submission received: 10 January 2021 / Revised: 23 February 2021 / Accepted: 8 March 2021 / Published: 12 March 2021
(This article belongs to the Section Environmental Science and Engineering)

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 carbon intensity; Spatial Durbin Model; spatiotemporal characteristic; spillover effect

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MDPI and ACS Style

Han, Y.; Jin, B.; Qi, X.; Zhou, H. Influential Factors and Spatiotemporal Characteristics of Carbon Intensity on Industrial Sectors in China. Int. J. Environ. Res. Public Health 2021, 18, 2914. https://doi.org/10.3390/ijerph18062914

AMA Style

Han Y, Jin B, Qi X, Zhou H. Influential Factors and Spatiotemporal Characteristics of Carbon Intensity on Industrial Sectors in China. International Journal of Environmental Research and Public Health. 2021; 18(6):2914. https://doi.org/10.3390/ijerph18062914

Chicago/Turabian Style

Han, Ying, Baoling Jin, Xiaoyuan Qi, and Huasen Zhou. 2021. "Influential Factors and Spatiotemporal Characteristics of Carbon Intensity on Industrial Sectors in China" International Journal of Environmental Research and Public Health 18, no. 6: 2914. https://doi.org/10.3390/ijerph18062914

APA Style

Han, Y., Jin, B., Qi, X., & Zhou, H. (2021). Influential Factors and Spatiotemporal Characteristics of Carbon Intensity on Industrial Sectors in China. International Journal of Environmental Research and Public Health, 18(6), 2914. https://doi.org/10.3390/ijerph18062914

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