ORIGINAL RESEARCH
Spatial Effect Research on the Impact of Technological Innovation on Carbon Dioxide Emission Intensity
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School of Economics and Management, University of Science and Technology Beijing, No.30, Xueyuan Road, Haidian District, Beijing 100083, P.R. China
 
 
Submission date: 2022-02-09
 
 
Final revision date: 2022-06-03
 
 
Acceptance date: 2022-07-19
 
 
Online publication date: 2022-10-12
 
 
Publication date: 2022-12-08
 
 
Corresponding author
Chu Chen   

School of Economics and Management, University of Science and Technology Beijing, No.30, Xueyuan Road, Haidian District, 100083, Beijing, China
 
 
Pol. J. Environ. Stud. 2022;31(6):5675-5682
 
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ABSTRACT
This article examines the impact of technological innovation on CO2 emissions in China from 2003 to 2018 using 30 provincial panel data sets. Employing the Spatial Durbin Model (SDM), it examines the impact of technological innovation on CO2 emissions intensity from a dual perspective of direct impact and spatial spillover. The findings indicate that regional spatial CO2 emissions exhibit a positive spatial spillover effect; technological innovation can significantly reduce a region’s CO2 emission intensity and has a negative spillover effect on neighboring regions’ CO2 emission intensity, thereby dramatically reducing CO2 emissions in neighboring provinces. Additionally, advanced industrial structure and foreign direct investment have the potential to significantly reduce total CO2 emission intensity; environmental regulations have an inverted “U” effect on total CO2 emission intensity; and the coal-based energy consumption structure increases total CO2 emission intensity. On the basis of the aforementioned research, this article offers recommendations for policy changes aimed at reducing CO2 emission intensity in order to achieve low-carbon growth.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
 
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eISSN:2083-5906
ISSN:1230-1485
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