Abstract
Under the new development model, the digital economy has become a new engine to promote the green development of the economy and achieve the goal of “double carbon.” Based on panel data from 30 Chinese provinces and cities from 2011 to 2021, the impact of the digital economy on carbon emissions was empirically studied by constructing a panel model and a mediation model. The results show that firstly, the effect of the digital economy on carbon emissions is a non-linear inverted “U” shaped relationship, and this conclusion still holds after a series of robustness tests; secondly, the results of the benchmark regression show that economic agglomeration is an essential mechanism through which the digital economy affects carbon emissions and that the digital economy can indirectly suppress carbon emissions through economic agglomeration. Finally, the results of the heterogeneity analysis show that the impact of the digital economy on carbon emissions varies according to the level of regional development, and its effect on carbon emissions is mainly in the eastern region, while its impact on the central and western regions is weaker, indicating that the impact effect is primarily in developed regions. Therefore, the government should accelerate the construction of new digital infrastructure and implement the development strategy of the digital economy according to local conditions to promote a more significant carbon emission reduction effect of the digital economy.
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs11356-023-27742-3/MediaObjects/11356_2023_27742_Fig1_HTML.png)
Source: China Statistical Yearbook
Similar content being viewed by others
Data availability
Not applicable.
References
Adner R, Puranam P, Zhu F (2019) What is different about digital strategy? From quantitative to qualitative change. Strateg Sci [J] 4:253–261
Berdysheva S, Ikonnikova S (2021) The energy transition and shifts in fossil fuel use: The study of international energy trade and energy security dynamics[J] Energies 14(17):5396
Chen G, Han J, Yuan H (2023) Urban digital economy development, enterprise innovation, and ESG performance in China[J]. ESG investment and its societal impacts 16648714:144
Chen W, Wu Y (2022) Does intellectual property protection stimulate digital economy development? J Appl Econ [J] 25:723–730
Cheng Y, Zhang Y, Wang J et al (2023) The impact of the urban digital economy on China's carbon intensity: Spatial spillover and mediating effect[J]. Resour Conserv Recycl 189:106762
Cheng S, Qu G (2023) Research on the effect of digital economy on carbon emissions under the background of “double carbon.” Int J Environ Res Public Health [J] 20:4931
Datta A (2022) The digitalising state: governing digitalisation-as-urbanisation in the global south. Prog Hum Geogr [J] 47:141–159
Ding C, Liu C, Zheng C et al (2022) Digital economy, technological innovation and high-quality economic development: Based on spatial effect and mediation effect[J]. Sustainability 14(1):216
Du M, Hou Y, Zhou Q et al (2022) Going green in China: how does digital finance affect environmental pollution? Mechanism discussion and empirical test. Environ Sci Pollut Res Int [J] 29:89996–90010
Guo W, Sun T, Dai H (2016) Effect of population structure change on carbon emission in China[J]. Sustainability 8(3):225
Guo J, Zhang K, Liu K (2022) Exploring the mechanism of the impact of green finance and digital economy on China’s green total factor productivity[J]. Int J Environ Res Public Health 19(23):16303
Hao Y, Song J, Shen Z (2022) Does industrial agglomeration affect the regional environment? Evidence from Chinese cities. Environ Sci Pollut Res Int [J] 29:7811–7826
Horner NC, Shehabi A, Azevedo IL (2016) Known unknowns: indirect energy effects of information and communication technology[J]. Environ Res Lett 11(10):103001
Imran M, Liu X, Wang R, et al (2022) The Influence of Digital Economy and Society Index on Sustainable Development Indicators: The Case of European Union[J]. Sustainability 14(18):11130
Kong H, Shi L, Da D et al (2022) Simulation of China’s carbon emission based on influencing factors[J]. Energies 15(9):3272
Lee J, Bagheri B, Jin C (2016) Introduction to cyber manufacturing. Manuf Lett [J] 8:11–15
Li H, Liu B (2022) The effect of industrial agglomeration on China’s carbon intensity: evidence from a dynamic panel model and a mediation effect model. Energy Rep [J] 8:96–103
Li J, Wu Y, Xiao JJ (2020) The impact of digital finance on household consumption: evidence from China. Econ Model [J] 86:317–326
Li X, Liu J, Ni P (2021) The Impact of the digital economy on CO2 emissions: a theoretical and empirical analysis[J]. Sustainability 13(13):7267
Liu J, Li M, Ding Y (2021) Econometric analysis of the impact of the urban population size on carbon dioxide (CO2) emissions in China. Environ Dev Sustain [J] 23:18186–18203
Liu X, Zhang W, Cheng J et al (2022) Green credit, environmentally induced R&D and low carbon transition: Evidence from China. Environ Sci Pollut Res [J] 29:89132–89155
Lu J, Fan W, Meng M (2015) Empirical research on China’s carbon productivity decomposition model based on multi-dimensional factors. Energies [J] 8:3093–3117
Lu Y, Cui P, Li D (2016) Carbon emissions and policies in China’s building and construction industry: evidence from 1994 to 2012. Build Environ [J] 95:94–103
Lyu K, Yang S, Zheng K et al (2023) How does the digital economy affect carbon emission efficiency? evidence from energy consumption and industrial value chain[J]. Energies 16(2):761
Mei Y, Miao J, Lu Y (2022) Digital villages construction accelerates high-quality economic development in rural China through promoting digital entrepreneurship[J]. Sustainability 14(21):14224
Pan C, Wang H, Guo H et al (2021) How do the population structure changes of China affect carbon emissions? An empirical study based on ridge regression analysis[J]. Sustainability 13(6):3319
Pang J, Jiao F, Zhang Y (2022) An analysis of the impact of the digital economy on high-quality economic development in China—A study based on the effects of supply and demand[J]. Sustainability 14(24):16991
Ran L, Lu XX, Yang H et al (2015) CO2outgassing from the Yellow River network and its implications for riverine carbon cycle. J Geophys Res: Biogeosci [J] 120:1334–1347
Ren S, Liu Z, Zhanbayev R et al (2022) Does the internet development put pressure on energy-saving potential for environmental sustainability? Evidence from China. J Econ Anal [J] 1:50–65
Salahuddin M, Gow J, Ozturk I (2015) Is the long-run relationship between economic growth, electricity consumption, carbon dioxide emissions and financial development in Gulf Cooperation Council Countries robust? Renew Sustain Energy Rev [J] 51:317–326
Shen N, Zhao Y, Wang Q (2018) Diversified agglomeration, specialized agglomeration, and emission reduction effect—A nonlinear test based on Chinese city data[J]. Sustainability 10(6):2002
Shi X, Xu Y, Sun W (2022) Evaluating China’s pilot carbon emission trading scheme: collaborative reduction of carbon and air pollutants[J]. Environ Sci Pollut Res 1–20
Shi X, Xu Y (2022) Evaluation of China’s pilot low-carbon city program: a perspective of industrial carbon emission efficiency. Atmos Pollut Res [J] 13:101446
Taylor L, Schroeder R, Meyer E (2014) Emerging practices and perspectives on big data analysis in economics: Bigger and better or more of the same?[J]. Big Data Soc 1(2):2053951714536877
Wan J, Pu Z, Tavera C (2023) The impact of digital finance on pollutants emission: evidence from Chinese cities[J]. Environ Sci Pollut Res 30(15):42923–42942
Wang Z, Chen C-H (2021) Research on digital economy and human resources based on fuzzy clustering and edge computing. Secur Commun Netw [J] 2021:1–8
Wang Z, Liang L, Cheng D et al (2022) Emission reduction benefits and economic benefits of China’s pilot policy on carbon emission trading system. Comput Intell Neurosci [J] 2022:1–13
Wang H, Guo J (2022) Impacts of digital inclusive finance on CO2 emissions from a spatial perspective: evidence from 272 cities in China[J]. J Clean Prod 355:131618
Wang Q, Liu S (2022) How do FDI and technological innovation affect carbon emission efficiency in China?[J]. Energies 15(23):9209
Wang C, Liu T, Zhu Y et al (2022) Digital economy, environmental regulation and corporate green technology innovation: evidence from China[J]. Int. J. Environ. Res. Public Health 19(21):14084
Wang NC, Si DK, Dong CF (2022) Social insurance burden and corporate environmental performance: evidence from China[J]. Sustainability 14(19):12104
Wei L, Ullah S (2022) International tourism, digital infrastructure, and CO(2) emissions: fresh evidence from panel quantile regression approach. Environ Sci Pollut Res Int [J] 29:36273–36280
Wen Z, Ye B (2014) Analyses of mediating effects: the development of methods and models[J]. Adv Psychol Sci 22(5):731
Wu X, Cao Q, Tan X et al (2020) The effect of audit of outgoing leading officials’ natural resource accountability on environmental governance: evidence from China. Manag Audit J [J] 35:1213–1241
Wu H, Hao Y, Ren S et al (2021) Does internet development improve green total factor energy efficiency? Evidence from China[J]. Energy Policy 153:112247
Wu Y, Zheng H, Li Y et al (2021) Carbon productivity and mitigation: Evidence from industrial development and urbanization in the central and western regions of China[J]. Sustainability 13(16):9014
Xue Q, Feng S, Chen K et al (2022) Impact of digital finance on regional carbon emissions: An empirical study of sustainable development in China[J]. Sustainability 14(14):8340
Yang Y, Tang D, Zhang P (2020) Double effects of environmental regulation on carbon emissions in China: empirical research based on spatial econometric model. Discret Dyn Nat Soc [J] 2020:1–12
Yang J, Jiang Y, Chen H et al (2022) Digital finance and Chinese corporate labor investment efficiency: the perspective of financing constraints and human capital structure. Front Psychol [J] 13:962806
Yu Z, Liu S, Zhu Z (2022) Has the digital economy reduced carbon emissions?: Analysis based on panel data of 278 cities in China[J]. Int J Environ Res Public Health 19(18):11814
Yue X, Zhao S, Ding X et al (2022) How the pilot low-carbon city policy promotes urban green innovation: based on temporal-spatial dual perspectives. Int J Environ Res Public Health [J] 20:561
Zhang B, Dong W, Yao J (2022) How does digital transformation of city governance affect environmental pollution: A natural experiment from the pilot policy of “National Information City for Public Service” in China[J]. Sustainability 14(21):14158
Zhang W, Liu X, Wang D et al (2022) Digital economy and carbon emission performance: Evidence at China's city level[J]. Energy Policy 165:112927
Zhao S, Tian W (2022) How do R&D factors affect total factor productivity: based on stochastic frontier analysis method. Econ Anal Lett [J] 1:28–34
Zhao S, Cao Y, Feng C et al (2022) How do heterogeneous R&D investments affect China’s green productivity: revisiting the Porter hypothesis. Sci Total Environ [J] 825:154090
Zhao S, Peng D, Wen H et al (2022) Does the digital economy promote upgrading the industrial structure of Chinese cities?[J]. Sustainability 14(16):10235
Zhao X, Jiang M, Zhang W (2022) Decoupling between economic development and carbon emissions and its driving factors: Evidence from China[J]. Int J Environ Res Public Health 19(5):2893
Zheng C, Deng F, Zhuo C et al (2022) Green credit policy, institution supply and enterprise green innovation. J Econ Anal [J] 1:20–34
Zhou X, Zhou D, Wang Q et al (2019) How information and communication technology drives carbon emissions: a sector-level analysis for China. Energy Econ [J] 81:380–392
Zhou X, Zhou D, Zhao Z et al (2022) A framework to analyze carbon impacts of digital economy: the case of China. Sustain Prod Consum [J] 31:357–369
Zhu Z, Liu B, Yu Z et al (2022) Effects of the digital economy on carbon emissions: Evidence from China[J]. Int J Environ Res Public Health 19(15):9450
Acknowledgements
We thank colleague Haslindar Ibrahim for firstly reading the manuscript and providing comments for improvements. We also thank the editors and reviewers for their helpful comments.
Author information
Authors and Affiliations
Contributions
This work was done collaboratively by all authors. Author Congqi Wang designed the study, performed the data collection and statistical analysis, wrote the protocol, and wrote the first draft of the manuscript. Author Fengyu Qi was responsible for the literature search and management, author Pengzhen Liu edited the references and formatting changes, author Haslindar Ibrahim suggested changes to the article and contributed as the corresponding author, and author Xiaoran Wang provided some changes to the format of the paper. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Ethics approval
Not applicable.
Consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare no competing interests.
Additional information
Responsible Editor: V.V.S.S. Sarma
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Wang, C., Qi, F., Liu, P. et al. The effect of the digital economy on carbon emissions: an empirical study in China. Environ Sci Pollut Res 30, 75454–75468 (2023). https://doi.org/10.1007/s11356-023-27742-3
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11356-023-27742-3