Abstract
This study examines the impact of green credit on digital technology innovation in China, focusing on the influence of financialization and regional heterogeneity. Existing research primarily explores factors like government subsidies, economic growth, and environmental regulations, and there is a lack of critical analysis on the influence of green credit on digital technology innovations. To examine the internal mechanisms linking green credit to digital technology innovation, this study uses panel data from 271 Chinese prefecture-level cities from 2000 to 2020. Our findings suggest that the availability of green credit and the level of financialization have a significant positive effect on technology innovation, particularly in regions with higher economic development. However, we also find that the impact of green credit and financialization on technology innovation varies across different regions of China. Study findings reveal that green credit bolsters both the quantity and quality of digital technology innovation, emerging as a significant driver for green innovations in China. This conclusion holds even after endogeneity tests. The heterogeneous analysis highlights that various aspects of green credit, such as coverage scope, usage intensity, and digitization level, can enhance digital technology innovations. Western cities demonstrate the most considerable positive effects, followed by central cities, while the weakest impact occurs in eastern cities. Green credit primarily promotes digital technology innovation indirectly by alleviating financing constraints. These empirical findings provide valuable policy insights for fostering a harmonious relationship between China’s urban green credit facilities and green financial growth, thereby addressing the funding limitations green credit enterprises face.
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References
Agyekum EB, Amjad F, Mohsin M, Ansah MNS (2021) A bird’s eye view of Ghana’s renewable energy sector environment: a multi-criteria decision-making approach. Util Policy. https://doi.org/10.1016/j.jup.2021.101219
Chang L, Iqbal S, Chen H (2023) Does financial inclusion index and energy performance index co-move? Energy Policy 174:113422
Fang W, Liu Z, Surya Putra AR (2022) Role of research and development in green economic growth through renewable energy development: empirical evidence from South Asia. Renew Energy 194:1142–1152. https://doi.org/10.1016/j.renene.2022.04.125
Gao H, Hsu P-H, Li K, Zhang J (2018) The real effect of smoking bans: evidence from corporate innovation. J Financ Quant Anal 55:1–88. https://doi.org/10.1017/S0022109018001564
Gao H, Shi D, Zhao B (2021) Does good luck make people overconfident? Evidence from a natural experiment in the stock market. J Corp Financ 68. https://doi.org/10.1016/j.jcorpfin.2021.101933
Gibbs D, Deutz P (2007) Reflections on implementing industrial ecology through eco-industrial park development. J Clean Prod 15:1683–1695. https://doi.org/10.1016/j.jclepro.2007.02.003
Guo B, Feng Y, Hu F (2023a) Have carbon emission trading pilot policy improved urban innovation capacity? Evidence from a quasi-natural experiment in China. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-023-25699-x
Guo B, Wang Y, Zhang H et al (2023b) Impact of the digital economy on high-quality urban economic development: evidence from Chinese cities. Econ Model 120:106194. https://doi.org/10.1016/j.econmod.2023.106194
Hu F, Xi X, Zhang Y (2021) Influencing mechanism of reverse knowledge spillover on investment enterprises’ technological progress: an empirical examination of Chinese firms. Technol Forecast Soc Change 169:120797. https://doi.org/10.1016/j.techfore.2021.120797
Ikram M, Mahmoudi A, Shah SZA, Mohsin M (2019) Forecasting number of ISO 14001 certifications of selected countries: application of even GM (1,1), DGM, and NDGM models. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-019-04534-2
Iqbal S, Bilal AR (2021) Energy financing in COVID-19: how public supports can benefit? China Finan Rev Int 12(2):219–240
Iqbal S, Bilal AR, Nurunnabi M, Iqbal W, Alfakhri Y, Iqbal N (2021) It is time to control the worst: testing COVID-19 outbreak, energy consumption and CO2 emission. Environ Sci Pollut Res 28:19008–19020
Li X, Sun Y (2021) Application of RBF neural network optimal segmentation algorithm in credit rating. Neural Comput Appl 33:8227–8235. https://doi.org/10.1007/s00521-020-04958-9
Li C, Umair M (2023a) Does green finance development goals affects renewable energy in China. Renew Energy 203:898–905. https://doi.org/10.1016/j.renene.2022.12.066
Li Y, Umair M (2023b) The protective nature of gold during times of oil price volatility: an analysis of the COVID-19 pandemic. Extr Ind Soc:101284. https://doi.org/10.1016/j.exis.2023.101284
Li W, Chien F, Ngo QT, Nguyen TD, Iqbal S, Bilal AR (2021a) Vertical financial disparity, energy prices and emission reduction: empirical insights from Pakistan. J Environ Manag 294:112946
Li Z, Zhou X, Huang S (2021b) Managing skill certification in online outsourcing platforms: a perspective of buyer-determined reverse auctions. Int J Prod Econ 238:108166. https://doi.org/10.1016/j.ijpe.2021.108166
Li Z, Qi X, Yu Q et al (2022) Exploring multi-programming-language commits and their impacts on software quality: an empirical study on Apache projects. J Syst Softw 194. https://doi.org/10.1016/j.jss.2022.111508
Lin J, Shen Y, Li X, Hasnaoui A (2021) BRICS carbon neutrality target: measuring the impact of electricity production from renewable energy sources and globalization. J Environ Manage 298. https://doi.org/10.1016/j.jenvman.2021.113460
Liu F, Umair M, Gao J (2023) Assessing oil price volatility co-movement with stock market volatility through quantile regression approach. Resour Policy 81:103375. https://doi.org/10.1016/j.resourpol.2023.103375
Mohsin M, Rasheed AK, Saidur R (2018a) Economic viability and production capacity of wind generated renewable hydrogen. Int J Hydrogen Energy. https://doi.org/10.1016/j.ijhydene.2017.12.113
Mohsin M, Zhou P, Iqbal N, Shah SAA (2018b) Assessing oil supply security of South Asia. Energy 155:438–447. https://doi.org/10.1016/j.energy.2018.04.116
Mohsin M, Nurunnabi M, Zhang J et al (2020) The evaluation of efficiency and value addition of IFRS endorsement towards earnings timeliness disclosure. Int J Financ Econ. https://doi.org/10.1002/ijfe.1878
Mohsin M, Hanif I, Taghizadeh-Hesary F et al (2021a) Nexus between energy efficiency and electricity reforms: a DEA-based way forward for clean power development. Energy Policy. https://doi.org/10.1016/j.enpol.2020.112052
Mohsin M, Ullah H, Iqbal N et al (2021b) How external debt led to economic growth in South Asia: a policy perspective analysis from quantile regression. Econ Anal Policy 72:423–437. https://doi.org/10.1016/J.EAP.2021.09.012
Pan W, Cao H, Liu Y (2023) “Green” innovation, privacy regulation and environmental policy. Renew Energy 203:245–254. https://doi.org/10.1016/j.renene.2022.12.025
Shah SAA, Zhou P, Walasai GD, Mohsin M (2019) Energy security and environmental sustainability index of South Asian countries: a composite index approach. Ecol Indic 106:105507. https://doi.org/10.1016/j.ecolind.2019.105507
Sun L, Fang S, Iqbal S, Bilal AR (2022) Financial stability role on climate risks, and climate change mitigation: implications for green economic recovery. Environ Sci Pollut Res 29(22):33063–33074
Ullah K, Rashid I, Afzal H et al (2020) SS7 vulnerabilities—a survey and implementation of machine learning vs rule based filtering for detection of SS7 network attacks. IEEE Commun Surv Tutorials 22:1337–1371. https://doi.org/10.1109/COMST.2020.2971757
Umair M, Dilanchiev A (2022) Economic recovery by developing business starategies: mediating role of financing and organizational culture in small and medium businesses. Proc B 683
Wang X, Huang J, Xiang Z, Huang J (2021) Nexus between green finance, energy efficiency, and carbon emission: Covid-19 implications from BRICS countries. Front Energy Res 9. https://doi.org/10.3389/FENRG.2021.786659
Wu Q, Yan D, Umair M (2022) Assessing the role of competitive intelligence and practices of dynamic capabilities in business accommodation of SMEs. Econ Anal Policy. https://doi.org/10.1016/j.eap.2022.11.024
Wu B, Liu Z, Gu Q, Tsai F-S (2023) Underdog mentality, identity discrimination and access to peer-to-peer lending market: exploring effects of digital authentication. J Int Financ Mark Institutions Money 83:101714. https://doi.org/10.1016/j.intfin.2022.101714
Xia Z, Abbas Q, Mohsin M, Song G (2020) Trilemma among energy, economic and environmental efficiency: can dilemma of EEE address simultaneously in era of COP 21? J Environ Manage. https://doi.org/10.1016/j.jenvman.2020.111322
Xiao H, Huang S, Shui A (2021) Government spending and intergenerational income mobility: evidence from China. J Econ Behav Organ 191:387–414. https://doi.org/10.1016/j.jebo.2021.09.005
Xie X, Jin X, Wei G, Chang C-T (2023) Monitoring and early warning of SMEs’ shutdown risk under the impact of global pandemic shock. Systems 11:260. https://doi.org/10.3390/systems11050260
Xiuzhen X, Zheng W, Umair M (2022) Testing the fluctuations of oil resource price volatility: a hurdle for economic recovery. Resour Policy 79:102982. https://doi.org/10.1016/j.resourpol.2022.102982
Yang Y, Liu Z, Saydaliev HB, Iqbal S (2022) Economic impact of crude oil supply disruption on social welfare losses and strategic petroleum reserves. Resour Policy 77:102689
Yi H, Meng X, Linghu Y, Zhang Z (2022) Can financial capability improve entrepreneurial performance? Evidence from rural China. Ekon Istraživanja / Econ Res 36. https://doi.org/10.1080/1331677X.2022.2091631
Zhang Y, Umair M (2023) Examining the interconnectedness of green finance: an analysis of dynamic spillover effects among green bonds, renewable energy, and carbon markets. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-023-27870-w
Zhao L, Saydaliev HB, Iqbal S (2022) Energy financing, COVID-19 repercussions and climate change: implications for emerging economies. Clim Change Econ 13(03):2240003
Zheng X, Zhou Y, Iqbal S (2022) Working capital management of SMEs in COVID-19: role of managerial personality traits and overconfidence behavior. Econ Anal Policy 76:439–451
Zhou L, Jin F, Wu B et al (2023) Do fake followers mitigate influencers’ perceived influencing power on social media platforms? The mere number effect and boundary conditions. J Bus Res 158:113589. https://doi.org/10.1016/j.jbusres.2022.113589
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Conceptualization, methodology, and writing—original draft: Ke Wu; data curation, data analysis, and interpretation: Xinxiu Wang.
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Wu, ., Wang, X. Studying financial aspect of green credit and regional heterogeneity on technology innovation in China. Environ Sci Pollut Res 30, 93708–93721 (2023). https://doi.org/10.1007/s11356-023-28846-6
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DOI: https://doi.org/10.1007/s11356-023-28846-6