Abstract
This paper investigates whether emerging digital finance can reduce environmental pollution in China based on data from 273 of China’s prefecture-level cities spanning the period from 2010 to 2017. The dynamic spatial econometric models (DSDM) find a significant negative association between digital finance and pollutants emissions, and the impacts vary among regions and urban development stages. The impact mechanism test proves that digital finance reduces pollutants emissions through technological innovation, structural adjustment, and capital allocation effects. In addition, we explore the different dimensions of digital finance and find that the depth of use has a more practical effect on reducing emissions. Further analyses based on the threshold model show an inverted N-shaped nexus between digital finance and emissions. The threshold effect also exists in terms of the traditional financial level. Our study proves that emerging digital finance crucially affects its potential benefits to environment and provides an empirical basis for policy-makers to accelerate the digitalization of financial markets, particularly paying attention to its emission-reduction effects.
Similar content being viewed by others
Data availability
The data that support the findings of this study are available from the leading author, Jiayu Wan, upon reasonable request.
References
Anshari M, Almunawar MN, Masri M, Hamdan M (2019) Digital marketplace and FinTech to support agriculture sustainability. Energy Procedia 156:234–238. https://doi.org/10.1016/j.egypro.2018.11.134
Anser MK, Khan MA, Awan U, Batool R, Zaman K, Imran M et al (2020) The role of technological innovation in a dynamic model of the environmental supply chain curve: evidence from a panel of 102 countries. Processes 8(9):1033. https://doi.org/10.3390/pr8091033
Bello AK, Abimbola OM (2010) Does the Level of Economic Growth Influence Environmental Quality in Nigeria: A Test of Environmental Kuznets Curve (EKC) Hypothesis? Pak J Soc Sci 7(4):325–329. https://doi.org/10.3923/pjssci.2010.325.329
Berg T, Burg V, Gombovi A, Puri M (2020) On the rise of fintechs: Credit scoring using digital footprints. Rev Financ Stud 33(7):2845–2897. https://doi.org/10.1093/rfs/hhz099
Blichfeldt H, Faullant R (2021) Performance effects of digital technology adoption and product & service innovation-A process-industry perspective. Technovation 102275.https://doi.org/10.1016/j.technovation.2021.102275
Buchak G, Matvos G, Piskorski T, Seru A (2018) Fintech, regulatory arbitrage, and the rise of shadow banks. J Financ Econ 130(3):453–483. https://doi.org/10.1016/j.jfineco.2018.03.011
Cortina Lorente JJ, Schmukler SL (2018) The Fintech Revolution: A Threat to Global Banking? World Bank Research and Policy Briefs. https://documents1.worldbank.org
Criado CO, Valente S, Stengos T (2011) Growth and pollution convergence: Theory and evidence. J Environ Econ Manag 62:199–214. https://doi.org/10.1016/j.jeem.2010.10.009
Demertzis M, Merler S, Wolff G et al (2018) Capital markets union and the fintech opportunity. J Financ Regul. https://doi.org/10.1093/jfr/fjx012
Di Maggio M, Yao V (2020) Fintech borrowers: lax-screening or cream-skimming? Natl Bureau Econ Res. https://doi.org/10.2139/ssrn.3224957
Dorfleitner G, Braun D (2019) Fintech, Digitalization and Blockchain: Possible Applications for Green Finance. Springer International Publishing, Cham, pp 207–237. https://doi.org/10.1007/978-3-030-22510-0_9
Elheddad M, Benjasak C, Deljavan R, Alharthi M, Almabrok JM (2021) The effect of the fourth industrial revolution on the environment: the relationship between electronic finance and pollution in oecd countries. Technol Forecast Soc Chang 163. https://doi.org/10.1016/j.techfore.2020.120485
Elhorst JP (2012) Dynamic spatial panels: models, methods, and inferences. J Geogr Syst 14:5–28. https://doi.org/10.1007/s10109-011-0158-4
Geng C, Cui Z (2020) Analysis of spatial heterogeneity and driving factors of capital allocation efficiency in energy conservation and environmental protection industry under environmental regulation. Energy Policy 137:111081. https://doi.org/10.1016/j.enpol.2019.111081
Gomber P, Koch J, Siering M (2017) Digital Finance and FinTech: current research and future research directions. J Bus Econ 87:537–580. https://doi.org/10.1007/s11573-017-0852-x
Grossman GM, Krueger AB (1995) Economic growth and the environment. Q J Econ 110:353–377. https://doi.org/10.2307/2118443
Hall BH, Harhoff D (2012) Recent research on the economics of patents. Annu Rev Econ 4:541–565. https://doi.org/10.1146/annurev-economics-080511-111008
Han Y, Zhang F, Huang L, Peng K, Wang X (2021) Does industrial upgrading promote eco-efficiency? ─A panel space estimation based on Chinese evidence. Energy Policy 154:112286. https://doi.org/10.1016/j.enpol.2021.112286
Hansen BE (1999) Threshold effects in non-dynamic panels: Estimation, testing, and inference. J Econ 93:345–368. https://doi.org/10.1016/S0304-4076(99)00025-1
He J, Li Q (2019) Digital finance and farmers’ entrepreneurship. China Rural Econ. https://doi.org/10.19818/j.cnki.1671-1637.2020.01.014-en
Hsu P, Tian X, Xu Y (2014) Financial development and innovation: Cross-country evidence. J Financ Econ 112:116–135. https://doi.org/10.1016/j.jfineco.2013.12.002
Huynh T, Hille E, Nasir MA (2020) Diversification in the age of the 4th industrial revolution: the role of artificial intelligence, green bonds and cryptocurrencies. Technol Forecast Soc Chang 159:120188. https://doi.org/10.1016/j.techfore.2020.120188
Ji Q, Zhang D (2019) How much does financial development contribute to renewable energy growth and upgrading of energy structure in China? Energy Policy 128:114–124. https://doi.org/10.1016/j.enpol.2018.12.047
Kihombo S, Ahmed Z, Chen S, Adebayo TS, Kirikkaleli D (2021) Linking financial development, economic growth, and ecological footprint: what is the role of technological innovation? Environ Sci Pollut Res 28(43):61235–61245. https://doi.org/10.1007/s11356-021-14993-1
Kim D, Yu J, Hassan MK (2018) Financial inclusion and economic growth in OIC countries. Res Int Bus Financ 43:1–14. https://doi.org/10.1016/j.ribaf.2017.07.178
Laeven L, Levine R, Michalopoulos S (2015) Financial innovation and endogenous growth. J Financ Intermed 24:1–24. https://doi.org/10.1016/j.jfi.2014.04.001
Li J, Wu Y, Xiao JJ (2020) The impact of digital finance on household consumption: Evidence from China. Econ Model 86:317–326. https://doi.org/10.1016/j.econmod.2019.09.027
Li Y, Yang X, Ran Q, Wu H, Irfan M, Ahmad M (2021) Energy structure, digital economy, and carbon emissions: evidence from China. Environ Sci Pollut Res 28(45):64606–64629. https://doi.org/10.1007/s11356-021-15304-4
Lin J, Yu Z, Wei YD, Wang M (2017) Internet access, spillover and regional development in china. Sustainability 9:946. https://doi.org/10.3390/su9060946
Muganyi T, Yan L, Sun H-P (2021) Green finance, fintech and environmental protection: evidence from China. Environ Sci Ecotechnol 7:100107. https://doi.org/10.1016/j.ese.2021.100107
Pierrakis Y, Collins L (2013) Crowdfunding: A new innovative model of providing funding to projects and businesses. Available at SSRN 2395226. https://doi.org/10.2139/ssrn.2395226
Romanelli E, Khessina OM (2005) Regional industrial identity: Cluster configurations and economic development. Organ Sci 16:344–358. https://doi.org/10.1287/orsc.1050.0131
Sadorsky P (2010) The impact of financial development on energy consumption in emerging economies. Energy Policy 38(5):2528–2535. https://doi.org/10.1016/j.enpol.2009.12.048
UNFCCC (2019) Alipay Ant Forest: Using Digital Technologies to Scale up Climate Action. https://unfccc.int/climate-action/momentum-for-change/planetary-health/alipay-ant-forest
Wu J, Feng Z, Tang K (2021) The dynamics and drivers of environmental performance in chinese cities: a decomposition analysis. Environ Sci Pollut Res 1–16. https://doi.org/10.1007/s11356-021-12786-0
Xie R, Zhao G, Zhu BZ, Chevallier J (2018) Examining the factors affecting air pollution emission growth in China. Environ Model Assess 23:389–400. https://doi.org/10.1007/s10666-018-9593-7
Xu B, Lin B (2018) What cause large regional differences in PM2.5 pollutions in China? Evidence from quantile regression model. J Clean Prod. 174:447–428. https://doi.org/10.1016/j.jclepro.2017.11.008
Xun Z, Guanghua W, Jiajia Z, Zongyue H (2020) Digital Economy, Financial Inclusion and Inclusive Growth. China Economist 15:92–105. https://doi.org/10.19602/j.chinaeconomist.2020.05.07
Yang Y, Su X, Yao S (2021) Nexus between green finance, fintech, and high-quality economic development: Empirical evidence from China. Resour Policy 74:102445. https://doi.org/10.1016/j.resourpol.2021.102445
Yi M, Wang Y, Sheng M, Sharp B, Zhang Y (2020) Effects of heterogeneous technological progress on haze pollution: Evidence from China. Ecol Econ 169:106533. https://doi.org/10.1016/j.ecolecon.2019.106533
Yilmaz S, Haynes KE, Dinc M (2002) Geographic and network neighbors: Spillover effects of telecommunications infrastructure. J Reg Sci 42:339–360. https://doi.org/10.1111/1467-9787.00262
Yu S, Zheng S, Zhang X, Gong C, Cheng J (2018) Realizing China’s goals on energy saving and pollution reduction: Industrial structure multi-objective optimization approach. Energy Policy 122:300–312. https://doi.org/10.1016/j.enpol.2018.07.034
Yu L, Zhao D, Xue Z, Gao Y (2020) Research on the use of digital finance and the adoption of green control techniques by family farms in China. Technol Soc 62:101323. https://doi.org/10.1016/j.techsoc.2020.101323
Yuan S, Musibau HO, Genc SY, Shaheen R, Ameen A, Tan Z (2021) Digitalization of economy is the key factor behind fourth industrial revolution: How G7 countries are overcoming with the financing issues? Technol Forecast Soc Chang 165:120533. https://doi.org/10.1016/j.techfore.2020.120533
Yuxiang K, Chen Z (2011) Financial development and environmental performance: evidence from China. Environ Dev Econ 16(1):93–111. https://doi.org/10.1017/S1355770X10000422
Zhang F, Deng X, Phillips F, Fang C, Wang C (2020) Impacts of industrial structure and technical progress on carbon emission intensity: Evidence from 281 cities in China. Technol Forecast Soc Chang 154:11994910. https://doi.org/10.1016/j.techfore.2020.119949
Zhao B, Yang W (2020) Does financial development influence CO2 emissions? A Chinese province-level study. Energy 200:117523. https://doi.org/10.1016/j.econmod.2013.06.037
Zhao H, Yang Y, Li N, Liu D, Li H (2021) How Does Digital Finance Affect Carbon Emissions? Evid Emerg Market Sustain 13(21):12303. https://doi.org/10.3390/su132112303
Zhu Y, Wang Z, Yang J, Zhu L (2020) Does renewable energy technological innovation control China’s air pollution? A spatial analysis. J Clean Prod 250:119515. https://doi.org/10.1016/j.technovation.2021.102275
Acknowledgements
I would first like to thank my thesis advisor Zhengning Pu and Christophe Tavera, for their precious comments. Secondly, the authors acknowledge financial support from China's National Social Science Fund (No. 19BJL024).
Funding
This study received financial support from the National Social Science Fund of China under Grant [Project Number: 19BJL024].
Author information
Authors and Affiliations
Contributions
All authors contributed to the study’s conception and design. Jiayu Wan conceived the study and was responsible for the design and development of the data analysis, and wrote the first draft of the article. Zhengning Pu and Christophe Tavera were responsible for the editing and revisions.
Corresponding author
Ethics declarations
Ethics approval and consent to participate
This article does not contain human participants or animal studies.
Consent to participate
Yes.
Consent for publication
Yes.
Competing interests
The authors declare no competing interests.
Additional information
Responsible Editor: Nicholas Apergis
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Wan, J., Pu, Z. & Tavera, C. The impact of digital finance on pollutants emission: evidence from chinese cities. Environ Sci Pollut Res 30, 42923–42942 (2023). https://doi.org/10.1007/s11356-021-18465-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11356-021-18465-4