ORIGINAL RESEARCH
Study on the Temporal and Spatial Pattern
of Carbon Emissions and Influencing Factors
in the Context of the Digital Economy
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1
School of Management, Universiti Sains Malaysia, George Town 11800, Malaysia
2
School of Economics, Jinan University, Guangzhou 510632, China
Submission date: 2024-03-24
Final revision date: 2024-05-02
Acceptance date: 2024-05-14
Online publication date: 2024-09-04
Publication date: 2025-01-28
Corresponding author
Pengzhen Liu
School of Economics, Jinan University, Guangzhou 510632, China
Pol. J. Environ. Stud. 2025;34(3):3297-3314
KEYWORDS
TOPICS
ABSTRACT
The digital economy drives China’s high-quality economic growth and reduces carbon emissions.
Urban carbon emissions reduction is crucial to China’s “dual carbon” development goal and climate
change adaptation. Spatial econometric modeling, standard deviation ellipse analysis, kernel density
estimation, the Moran index, and Moran’s index are used to study the effects of the digital economy
on provincial carbon emissions in 30 Chinese provinces from 2012 to 2021. The study found that:
(1) The digital economy has shown a rising trend over time, with the spatial distribution of “eastcenter-
west” decreasing in space. Carbon emissions, on the other hand, show a decreasing trend, with
a spatial distribution characterized by a high north and a low south. (2) As measured by the standard
deviation ellipse model, the digital economy and carbon emissions have decreasing ellipse areas,
with the former’s centers of gravity moving northward and the latter’s southward, indicating that
their spatial agglomeration characteristics are growing. (3) The spatial Durbin model examined how
the digital economy affects carbon emissions. The digital economy is reducing carbon emissions
in China significantly. A national spatial spillover effect was also detected, with surrounding provinces’
carbon emissions being negatively affected.
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.
REFERENCES (37)
1.
DONG F., HU M., GAO Y., LIU Y., ZHU J., PAN Y. How does digital economy affect carbon emissions? Evidence from global 60 countries. Science of The Total Environment, 852, 158401, 2022.
https://doi.org/10.1016/j.scit... PMid:36057304.
2.
HUANG L., ZHANG H., SI H., WANG H. Can the digital economy promote urban green economic efficiency? Evidence from 273 cities in China. Ecological Indicators, 155, 110977, 2023.
https://doi.org/10.1016/j.ecol....
3.
FEDULIN A.A., CHERNAYA I.V., ORLOVA E.Y., AVTSINOVA G.I., SIMONYAN T.V. Formation of approaches to environmental policy under conditions of digital economy. Journal of Environmental Management & Tourism, 11 (3 (43)), 549, 2020.
https://doi.org/10.14505//jemt....
4.
CHANG H., DING Q., ZHAO W., HOU N., LIU W. The digital economy, industrial structure upgrading, and carbon emission intensity - empirical evidence from China's provinces. Energy Strategy Reviews, 50, 2023.
https://doi.org/10.1016/j.esr.....
5.
LI Z., WANG J. The Dynamic Impact of Digital Economy on Carbon Emission Reduction: Evidence City-level Empirical Data in China. Journal of Cleaner Production, 351, 131570, 2022.
https://doi.org/10.1016/j.jcle....
6.
ZHANG W., LIU X., WANG D., ZHOU J. Digital economy and carbon emission performance: Evidence at China's city level. Energy Policy, 165, 112927, 2022.
https://doi.org/10.1016/j.enpo....
7.
CHEN Y., WANG L. Commentary: Marketing and the Sharing Economy: Digital Economy and Emerging Market Challenges. Journal of Marketing, 83 (5), 28, 2019.
https://doi.org/10.1177/002224....
8.
HU J. Synergistic effect of pollution reduction and carbon emission mitigation in the digital economy. Journal of environmental management, 337, 117755, 2023.
https://doi.org/10.1016/j.jenv... PMid:36948146.
9.
ZHANG J., LYU Y., LI Y., GENG Y. Digital economy: An innovation driving factor for low-carbon development. Environmental Impact Assessment Review, 96, 106821, 2022.
https://doi.org/10.1016/j.eiar....
10.
LI Z., LI N., WEN H. Digital Economy and Environmental Quality: Evidence from 217 Cities in China. Sustainability, 13 (14), 8058, 2021.
https://doi.org/10.3390/su1314....
11.
XU S., YANG C., HUANG Z., FAILLER P. Interaction between Digital Economy and Environmental Pollution: New Evidence from a Spatial Perspective, 19 (9), 2022.
https://doi.org/10.3390/ijerph... PMid:35564469 PMCid:PMC9102385.
12.
QIU Y., LIU W., WU J. Digital economy and urban green innovation: from the perspective of environmental regulation. Journal of Environmental Planning and Management, 1, 2023.
https://doi.org/10.1080/096405....
13.
MA Q., TARIQ M., MAHMOOD H., KHAN Z. The nexus between digital economy and carbon dioxide emissions in China: The moderating role of investments in research and development. Technology in Society, 68, 101910, 2022.
https://doi.org/10.1016/j.tech....
14.
TAN L., YANG Z., IRFAN M., DING C. J., HU M., HU J. Toward low-carbon sustainable development: Exploring the impact of digital economy development and industrial restructuring. Business Strategy and the Environment, 33 (3), 2159, 2024.
https://doi.org/10.1002/bse.35....
15.
HAN Y., LI Z., FENG T., QIU S., HU J., YADAV K.K., OBAIDULLAH A.J. Unraveling the impact of digital transformation on green innovation through microdata and machine learning. Journal of Environmental Management, 354, 120271, 2024.
https://doi.org/10.1016/j.jenv... PMid:38354610.
16.
ZHU H., CHEN S., IRFAN M., HU M., HU J. Exploring the role of the belt and road initiative in promoting sustainable and inclusive development. Sustainable Development, 32 (1), 712, 2024.
https://doi.org/10.1002/sd.270....
18.
LIU Y., YANG Y., LI H., ZHONG K. Digital Economy Development, Industrial Structure Upgrading and Green Total Factor Productivity: Empirical Evidence from China&rsquos Cities, 2022.
https://doi.org/10.3390/ijerph... PMid:35206606 PMCid:PMC8872123.
19.
YI M., LIU Y., SHENG M. S., WEN L. Effects of digital economy on carbon emission reduction: New evidence from China. Energy Policy, 171, 113271, 2022.
https://doi.org/10.1016/j.enpo....
20.
XUE Y., TANG C., WU H., LIU J., HAO Y. The emerging driving force of energy consumption in China: Does digital economy development matter? Energy Policy, 165, 112997, 2022.
https://doi.org/10.1016/j.enpo....
21.
WANG Q., LI C., LI R. Could the digital economy increase renewable energy and reduce carbon emissions? Empirical research on EKC in 67 countries. Environmental Science and Pollution Research, 30 (31), 77150, 2023.
https://doi.org/10.1007/s11356... PMid:37249778.
22.
ZHANG L., MU R., ZHAN Y., YU J., LIU L., YU Y., ZHANG J. Digital economy, energy efficiency, and carbon emissions: Evidence from provincial panel data in China. Science of The Total Environment, 852, 158403, 2022.
https://doi.org/10.1016/j.scit... PMid:36057314.
23.
ZHAO TAO Z.Z., LIANG SHANGKUN. Digital Economy, Entrepreneurship, and High-Quality Economic Development: Empirical Evidence from Urban China. Frontiers of Economics in China, 17 (3), 393, 2022.
24.
ZHU Z., LIU B., YU Z., CAO J. Effects of the Digital Economy on Carbon Emissions: Evidence from China, 19 (15), 2022.
https://doi.org/10.3390/ijerph... PMid:35954806 PMCid:PMC9368467.
25.
LI Y., YANG X., RAN Q., WU H., IRFAN M., AHMAD M. Energy structure, digital economy, and carbon emissions: evidence from China. Environmental Science and Pollution Research, 28 (45), 64606, 2021.
https://doi.org/10.1007/s11356... PMid:34318413 PMCid:PMC8315258.
26.
LEE J.C., LI J., MUSCO C., PHILLIPS J.M., TAI W.M. Finding an approximate mode of a kernel density estimate. Schloss Dagstuhl-Leibniz-Zentrum für Informatik, 204, 2021.
28.
DING L., YANG Y., WANG L., CALIN A.C. Cross Efficiency Assessment of China's marine economy under environmental governance. Ocean & Coastal Management, 193, 105245, 2020.
https://doi.org/10.1016/j.ocec....
29.
KATICHA S.W., FLINTSCH G.W. A kernel density empirical Bayes (KDEB) approach to estimate accident risk. Accident Analysis & Prevention, 186, 107039, 2023.
https://doi.org/10.1016/j.aap.... PMid:36989959.
30.
LEFEVER D.W. Measuring geographic concentration by means of the standard deviational ellipse. American journal of sociology, 32 (1), 88, 1926.
https://doi.org/10.1086/214027.
32.
CHEN H., YI J., CHEN A., PENG D., YANG J. Green technology innovation and CO2 emission in China: Evidence from a spatial-temporal analysis and a nonlinear spatial durbin model. Energy Policy, 172, 113338, 2023.
https://doi.org/10.1016/j.enpo....
33.
DU M., REN S. Does the digital economy promote industrial green transformation? Evidence from spatial Durbin model. Journal of Information Economics, 1 (1), 2023.
https://doi.org/10.58567/jie01....
34.
PAN W., XIE T., WANG Z., MA L. Digital economy: An innovation driver for total factor productivity. Journal of Business Research, 139, 303, 2022.
https://doi.org/10.1016/j.jbus....
35.
LITVINENKO V.S. Digital Economy as a Factor in the Technological Development of the Mineral Sector. Natural Resources Research, 29 (3), 1521, 2020.
https://doi.org/10.1007/s11053... PMCid:PMC10868804.
36.
LUO S., YIMAMU N., LI Y., WU H., IRFAN M., HAO Y. Digitalization and sustainable development: How could digital economy development improve green innovation in China? Business Strategy and the Environment, 32 (4), 1847, 2023.
https://doi.org/10.1002/bse.32....