Abstract
Green finance is acknowledged as a critical policy tool in China’s sustainable development sector, with the goal of lowering the financial burden associated with ecological transformation for Chinese firms. This research examines the impact of green finance on the green innovation efficiency of the high-tech industry in China, within the context of carbon neutrality. Using a panel dataset covering 30 provinces, autonomous regions, and municipalities in China from 2013 to 2021, we analyze the effects of green finance on green innovation efficiency. Our findings indicate that green finance significantly improves the green innovation efficiency of the high-tech industry, even after robustness testing. Furthermore, this paper also explores the threshold effect of industrial agglomeration on the relationship between green finance and green innovation efficiency, specifically in terms of specialization, diversity, and competition. We verify that green finance reduces the costs of green transformation for enterprises, leading to a substantial improvement in the green innovation efficiency of the high-tech industry. These results shed light on the factors influencing green innovation efficiency and provide theoretical insights and implications for policymakers, entrepreneurs, and financial institutions to reconcile economic growth and sustainability goals.
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References
Andersen DC (2016) Credit constraints, technology upgrading, and the environment. J Assoc Environ Resour Econ 3(2):283–319. https://doi.org/10.1086/684509
Amore MD, Bennedsen M (2016) Corporate governance and green innovation. J Environ Econ Manage 75(1):54–72. https://doi.org/10.1016/j.jeem.2015.11.003
Awodumi OB (2023) Does foreign direct investment matter for environmental innovation in African economies? Econ Chang Restruct 56:237–263. https://doi.org/10.1007/s10644-022-09421-4
Baron RM, Kenny DA (1986) The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol 51(6):1173–1182. https://doi.org/10.1037/0022-3514.51.6.1173
Ben AW, Hikkerova L, Sahut JM (2018) External knowledge sources, green innovation and performance. Technol Forecast Soc Change 129:210–220. https://doi.org/10.1016/j.techfore.2017.09.017
Cao X, Yu J (2016) Regional innovation efficiency in China from the green low-carbon perspective. J Chin Popul Res 37(2):63–71
Chen Z, Zhang X, Chen F (2021) Do carbon emission trading schemes stimulate green innovation in enterprises? Evidence from China. J Technol Soc 168(2):120744. https://doi.org/10.1016/j.techfore.2021.120744
Duranton G, Puga D (2004) Micro-foundations of urban agglomeration economies. Handb Econ 4(48):2063–2177. https://doi.org/10.3386/w9931
Di Z, Lu Z, Qiu Y (2023) Do carbon emission trading schemes enhance enterprise green innovation efficiency? Evidence from China’s listed firms. J Clean Prod 414:137668. https://doi.org/10.1016/j.jclepro.2023.137668
Fan H, Peng Y, Wang H, Xu Z (2021) Greening through finance? J Dev Econ 152:102683. https://doi.org/10.1016/j.jdeveco.2021.102683
Flammer C (2021) Corporate green bonds. J Financ Econ:499–516. https://doi.org/10.1016/j.jfineco.2021.01.010
Garcia AS, Orsato RJ (2020) Testing the institutional difference hypothesis: a study about environmental, social, governance, and financial performance. Bus Strateg Environ 29:3261–3272. https://doi.org/10.1002/bse.2570
Hansen BE (1999) Threshold effects in non-dynamic panels: Estimation, testing, and inference[J]. J Econom. https://doi.org/10.1016/S0304-4076(99)00025-1
Hens L, Ulrich V, Judith B et al (2016) Financing the green transformation: how to make green finance work in Indonesia. Environ Dev Sustain 18:949–950. https://doi.org/10.1007/s10668-015-9750-y
He L, Liu R, Zhong Z (2019) Can green financial development promote renewable energy investment efficiency? A consideration of bank credit. Renew Energy 143(12):974–984. https://doi.org/10.1016/j.renene.2019.05.059
Levinson A (1996) Environmental regulations and manufacturers’ location choices: evidence from the census of manufactures. J Public Econ 62(1–2):5–29. https://doi.org/10.1016/0047-2727(96)01572-1
Li DY, Zhao Y, Sun Y (2017) Corporate environmental performance, environmental information disclosure, and financial performance: evidence from China. Hum Ecol Risk Assess 23(2):323–339. https://doi.org/10.1080/10807039.2016.1247256
Lambertini L, Poyago-Theotoky J, Tampieri A (2017) Cournot competition and “green” innovation: an inverted-U relationship. Energy Econ 68(10):116–123. https://doi.org/10.2139/ssrn.2640032
Lv Y, Xie Y, Lou X (2020) A study on the spatio-temporal jump and convergence trend of regional green innovation efficiency in China. J Res Quant Tech Econ 37(05):78–97 https://doi.org/13653/j.cnki.jqte.2020.05.005
Liu F, Tan D, Deng P (2023) How does green credit reduce carbon emissions? Dynamic spatial interactions and regional disparities. Environ Sci Pollut Res 30:68504–68523. https://doi.org/10.1007/s11356-023-27239-z
Luo L, Ma Y, Zhou Q (2023) The impact and transmission mechanism of green credit policy on energy efficiency: new evidence from China. Environ Sci Pollut Res 30:56879–56892. https://doi.org/10.1007/s11356-023-26376-9
Long Y, Yang B, Liu L (2023) Can green credit policy promote green innovation in renewable energy enterprises: evidence from China. Environ Sci Pollut Res 30:94290–94311. https://doi.org/10.1007/s11356-023-29041-3
Mohsin M, Hanif I, Taghizadeh-Hesary F (2021) 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
Meo MS, Karim MZA (2022) The role of green finance in reducing CO2 emissions: an empirical analysis. Borsa Istanbul Rev 22(1):169–178. https://doi.org/10.1016/j.bir.2021.03.002
Nelson RA, Tom T, Donihue MR (1993) Differential environmental regulation: effects on electric utility capital turnover and emissions. Rev Econ Stat 75(2):368–373. https://doi.org/10.2307/2109447
Najkar N, Kohansal MR, Ghorbani M (2020) Impact of industrial agglomeration on productivity: evidence from Iran’s food industry. Chin Geogr Sci 30(2):123–137. https://doi.org/10.1016/0169-5150(93)90013-3
Ortas E, Gallego-Alvarez I, Etxeberria IA (2015) Financial factors influencing the quality of corporate social responsibility and environmental management disclosure: a quantile regression approach. Corp Soc Responsib Environ Manag 22(6):362–380. https://doi.org/10.1002/csr.1351
Peng H, Wang Y, Hu Y (2020) Agglomeration production, industry association and carbon emission performance: based on spatial analysis. Sustainability 12(18):7234. https://doi.org/10.3390/su12187234
Pan X, Xiao Y, Liu Z (2022) Equilibrium or imbalance? Regional variations and evolutionary traits of twoway FDI coordination level in Yangtze River economic belt. Front Environ Sci 10:970652. https://doi.org/10.3389/fenvs.2022.970652
Sai R, Lin B, Liu X (2022) The impact of clean energy development finance and financial agglomeration on carbon productivity in Africa. Environ Impact Assess Rev 98:106940. https://doi.org/10.1016/j.eiar.2022.106940
Tone K (2003) Dealing with undesirable outputs in DEA: a slacks-based measure ( SBM) approach. J Nat Grad 17(2):16–21
Wang Q, Qu J, Wang B, Wang P, Yang T (2019) Green technology innovation development in China in 1990–2015. Sci Total Environ 696:134008. https://doi.org/10.1016/j.scitotenv.2019.134008
Wu K, Wang X (2023) Studying financial aspect of green credit and regional heterogeneity on technology innovation in China. Environ Sci Pollut Res 30:93708–93721. https://doi.org/10.1007/s11356-023-28846-6
Wei G, Zebin L (2023) Green credit and corporate ESG performance: evidence from China. J Financ Res 55:103940. https://doi.org/10.1016/j.frl.2023.103940
Wang K, Zhang F, Xu R (2023) Spatiotemporal pattern evolution and influencing factors of green innovation efficiency: a China’s city-level analysis. Ecol Indic 146:109901. https://doi.org/10.1016/j.ecolind.2023.109901
Xiao F, Yuyu L, Bo H (2023) Research on manufacturer’s investment strategy and green credit policy for new energy vehicles based on consumers’ preferences and technology adoption. Technol Forecast Soc Change 191:122476. https://doi.org/10.1016/j.techfore.2023.122476
You D, Zhang Y, Yuan B (2019) Environmental regulation and firm eco-innovation: evidence of moderating effects of fiscal decentralization and political competition from listed Chinese industrial companies. J Clean Prod 207:1072–1083. https://doi.org/10.1016/j.jclepro.2018.10.106
Yuan H, Feng Y, Lee C-C, Cen Y (2020) How does manufacturing agglomeration affect green economic efficiency? Energy Econ 92:104944. https://doi.org/10.1016/j.eneco.2020.104944
Yang Y, Liu Z, Saydaliev HB, Iqbal S (2022) Economic impact of crude oil supply disruption on social welfare losses and strategic petroleum reserves. Res Policy 77:102689. https://doi.org/10.1016/J.RESOURPOL.2022.102689
Yi H, Shuchang J, Juan N, Peng K, Zhang L (2023) Strategic or substantive green innovation: how do non-green firms respond to green credit policy? Econ Model 126:106451. https://doi.org/10.1016/j.econmod.2023.106451
Zhang Y, Wang J, Xue Y, Yang J (2018) Impact of environmental regulations on green technological innovative behavior: an empirical study in China. J Clean Prod 188(1):763–773. https://doi.org/10.1016/j.jclepro.2018.04.013
Zhang K, Shao S, Fan S (2020) Market integration and environmental quality: evidence from the Yangtze River Delta region of China. J Environ Manag 261:110201–110208. https://doi.org/10.57030/23364890.cemj.31.2.25
Zhou G, Sun Y, Luo S, Liao J (2021) Corporate social responsibility and bank financial performance in China: the moderating role of green credit. Energy Econ 97(4):105190. https://doi.org/10.1016/j.eneco.2021.105190
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
Funding
The authors acknowledge the support and funding from the National Social Science Fund of China (Grant No. 19BGL168) and the Yunnan University Research Foundation Program (Grant No. KC-23233830).
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Yi Xiao: conceptualization, methodology, formal analysis, writing—original draft, review and editing. Xiongtian Shi: data process, investigation, writing—original draft. Li Kong: conceptualization, supervision, writing—review and editing.
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Xiao, Y., Shi, X. & Kong, L. From green finance to sustainable innovation: how to unleash the potential of China’s high-tech industry. Environ Sci Pollut Res 30, 123368–123382 (2023). https://doi.org/10.1007/s11356-023-30940-8
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DOI: https://doi.org/10.1007/s11356-023-30940-8