Journal
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
Volume 140, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.rser.2021.110708
Keywords
CO2 emissions; The heavy industry; Nonparametric additive regression models
Funding
- China National Natural Science Foundation [71974085]
- Philosophy and Social Sciences Development Report Project of Ministry of Education [10JBG013]
Ask authors/readers for more resources
The heavy industry is the main source of CO2 emissions, and examining the influencing factors is essential for achieving a low-carbon transition. Research has shown that economic growth, urbanization, and energy efficiency have a nonlinear effect on CO2 emissions; additionally, energy consumption structure and export dependence also have a nonlinear impact on CO2 emissions.
The heavy industry is the main source of CO2 emissions. Examining the influencing factors of the heavy industry's CO2 emissions is essential for this industry to achieve a low-carbon transition. Existing research literature often assumes that the relationship between the influencing factors and CO2 emissions is linear. In fact, most economic phenomena are characterized by fluctuations, due to the influence of business cycles. This often leads to more likely nonlinear relationships between economic variables. This paper uses nonparametric additive regression model to investigate CO2 emissions from China's heavy industry. The empirical findings show that economic growth, urbanization, and energy efficiency exert a first promotion, then restriction inverted Ushaped nonlinear effect on CO2 emissions. To complicate matters further, energy consumption structure and export dependence have an N-shaped nonlinear effect on CO2 emissions. Therefore, in the early stage, the government should actively optimize the industrial structure, strengthen the management of the real estate industry, and expand R&D investment. In the long run, the government should subsidize the heavy industry to expand clean energy consumption, and provide tax incentives to support the export of high-tech industrial products.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available