Does green credit help reduce smog pollution? Empirical evidence from China.
Green credit
Green technology innovation
Industrial structure upgrading
Smog pollution
Spatial Durbin model
Journal
Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769
Informations de publication
Date de publication:
12 Dec 2023
12 Dec 2023
Historique:
received:
23
06
2023
accepted:
06
12
2023
medline:
12
12
2023
pubmed:
12
12
2023
entrez:
12
12
2023
Statut:
aheadofprint
Résumé
As a resource production factor in environmental governance activities, can green credit help reduce smog pollution? Based on China's provincial panel data from 2006 to 2019, this paper empirically tests the impact of green credit on smog pollution by using an OLS regression model and a spatial Durbin model. The results show that green credit helps to reduce smog pollution overall; Industrial structure upgrading and green technology innovation are two critical paths for green credit to reduce smog pollution. The analysis of period heterogeneity finds that the descending effect of green credit on smog pollution becomes more significant after the transformation of China's economic development stage. The regional heterogeneity analysis finds that the descending effect of green credit on smog pollution is more significant in non-low-carbon pilot provinces and regions with lower economic development levels. In addition, green credit not only helps to reduce local smog pollution but also has a spatial spillover effect of "benefiting thy neighbors" on smog pollution in geographically neighboring areas. This study provides important inspiration for the government to further promote the innovation of green financial instruments and promote the improvement of environmental governance performance, provides decision-making references for different regions to implement differentiated green credit strategies to improve ambient air quality, and provides an experience reference for the development of green finance and environmental governance in emerging market countries.
Identifiants
pubmed: 38085490
doi: 10.1007/s11356-023-31463-y
pii: 10.1007/s11356-023-31463-y
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : National Natural Science Foundation of China
ID : 72172116
Organisme : Major Project of National Social Science Foundation of China
ID : 21&ZD133
Organisme : the graduate research and innovation project of Xinjiang University
ID : XJ2023G011
Informations de copyright
© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
Références
Ba S, Yang C, Yao S (2018) Review on the research progress of China’s green finance. J Financial Dev Res 6:3–11
Cai F, Du Y, Wang M (2008) The political economy of emission in China will a low carbon growth be incentive compatible in next decade and beyond? Econ Res J 6:4–11+36
Cao S (2022) A study on the evolutionary path of financial risks of haze pollution: empirical evidence from China’s industrial firms. Western Forum 32(05):26–43
Cao C, Han L (2015) The assessment on the social health costs caused by fog and haze. Stat Res 32:19–23
Chen S, Chen D (2018) Air pollution, government regulations and high-quality economic development. Econ Res J 53(02):20–34
Cheng Z, Liu J, Li L (2019) Research on the effects of industrial structure adjustment and technical progress on haze reduction. China Soft Sci 1:146–154
Cheng Y, Zhang D, Zhao M et al (2022) Research on the impact of haze pollution on the high-quality development of the Yangtze River Economic Belt from the perspective of human capital. J Chongqing Univ (Soc Sci Ed) 28(05):46–60
Chi Z (2021) Degree of haze pollution and short-term credit financing ability and corporate growth. Res Financial Econ Issues 455(10):86–92
Deschenes O, Wang H, Wang S et al (2020) The effect of air pollution on body weight and obesity: evidence from China. J Dev Econ 145:102461
Dong J (2013) Present situation, problems and countermeasures of the development of green finance in China. J Ind Technol Econ 32(03):156–160
Figueres C, Landrigan PJ (2018) Tackling air pollution, climate change, and NCDs: time to pull together. Lancet 392:1502–1503
Gan C, Zheng R, Yu X (2011) An empirical study on the effects of industrial structure on economic growth and fluctuations in China. Econ Res J 46(05):4–16+31
Guo Y, Fang F (2021) The green financing effect of the expanded central bank collateral framework. J Financial Res 487(01):91–110
He L, Liang X, Yang X, Zhong Z (2019) Can green credit promote the technological innovation of environmental protection enterprises? Financial Econ Res 34(05):109–121
Hu J, Huang Q, Pan X (2020) Carbon emission trading system and firms’ innovation quality: suppression or promotion. China Pop Resour Environ 30(02):49–59
Huang XL, Wu XX, Yuan Y et al (2023) Energy-saving effect of green finance reform and its mechanisms. China Pop Resour Environ 33(08):27–36
Jiang H, Wang W, Wang L, Wu J (2020) The effects of the carbon emission reduction of China’s green finance: an analysis based on green credit and green venture investment. Finance Forum 25(11):48+39-80
Lai X, Yue S, Chen H (2022) Can green credit increase firm value? Evidence from Chinese listed new energy companies. Environ Sci Pollut Res 29:18702–18720. https://doi.org/10.1007/s11356-021-17038-9
doi: 10.1007/s11356-021-17038-9
Landrigan PJ, Fuller R, Acosta NJR et al (2017) The lancet commission on pollution and health. Lancet 391(10119):462–512
Lelieveld J, Evans JS, Fnais M et al (2015) The contribution of outdoor air pollution sources to premature mortality on a global scale. Nature 525:367–371
Li Z, Bai T (2021) Government environmental protection expenditure, green technology innovation and smog pollution. Sci Res Manage 2:52–63
Li X, Du X (2022) Research on the impact of global value chain embedding on haze pollution: analysis of regulatory effects based on environmental regulation. Dong Yue Tribune 7:131–144
Li F, Gong J (2021) Has green technology progress alleviated smog pollution. J Xiangtan Univ (Philosophy Soc Sci) 45(01):82–86+92
Li W, Zhu X (2023) Impact of haze pollution on population migration and its transmission mechanism: mediating effect based on industrial structure and human capital. Dong Yue Tribune 44(4):126–136
Li N, Wu S, Dai Z, Wang Q (2016) The impact on the upgrade of industrial structure from environmental regulation and expansion of openness in China. Econ Geography 4(11):109–115+123
Li Z, Liao G, Wang Z, Huang Z (2018) Green loan and subsidy for promoting clean production innovation. J Clean Prod 187:421–431
Li B, Guo P, Zeng Y (2019) The impact of haze on the availability of company debt financing: evidence for sustainability of Chinese listed companies. Sustain 11(3):806
Li X, Yu D, Yu J (2020a) Spatial spillover effect of heterogeneous environmental regulations on carbon productivity: spatial Durbin model. China Soft Sci 4:82–96
Li Y, Hu H, Li H (2020b) Empirical analysis of the impact of green credit on the upgrading of China’s industrial structure: based on Chinese provincial panel data. On Econ Prob 1:37–43
Li ZF, Feng LH, Mai SQ et al (2022) Has green credit curbed carbon emissions? Research based on provincial-level panel data in China. Shanghai Finance 1:2–12
Lian L (2015) Does green credit influence debt financing cost of business? A comparative study of green businesses and “Two High” businesses. Financial Econ Res 30(05):83–93
Liang C, Liu X, Li S (2021) Urban spatial development mode and smog pollution: based on the perspective of population density distribution. Econ Perspective 720(02):80–94
Liang FS, Cao L, Ge ZY (2022) Research on the carbon emission effect of green credit from the perspective of spatial spillover: moderating effect based on fiscal decentralization. World Survey Res 10:38–48
Liao J, Hu W, Yang D (2019) Dynamic analysis of the effect of green credit on bank operating efficiency: based on panel VAR model. Collect Essays Finance Econ 2:57–64
Liu XL, Wen SY (2019) Should financial institutions be environmentally responsible in China? facts, theory and evidence. Econ Res J 54(03):38–54
Liu J, Xia Y, Lin S, Wu J, Fan Y (2015) The short, medium and long term effects of green credit policy in China based on a financial CGE model. Chinese J Manag Sci 23(4):46–52. https://doi.org/10.16381/j.cnki.issn1003-207x.2015.04.006
doi: 10.16381/j.cnki.issn1003-207x.2015.04.006
Liu J, Wang Z, Zhu W (2021) Does privatization reform alleviate ownership discrimination? Evidence from the Split-share structure reform in China. J Corp Finance 66:101848
Liu C, Zhang S, Li X (2023) The impact of green credit on regional green total factor productivity: an empirical test based on provincial panel data in China. Nanjing J Soc Sci 425(3):28–39
Lu F, Wang Q (2021) Agglomeration of producer services and haze pollution control. Soft Sci 35(4):1–7+27. https://doi.org/10.13956/j.ss.1001-8409.2021.04.01
doi: 10.13956/j.ss.1001-8409.2021.04.01
Ma J (2016) Prospects for China’s green finance. China Finance 16:20–22
Meng MM, Tan XY, Liu SR et al (2023) Research on the impact of ESG performance on green innovation. J Technol Econ 42(07):13–24
Nie G, Zhu Y, Zhang J (2022) Study on the impact of unbalanced development on the spatial spillover effect of haze pollution in China. J Central South Univ (Soc Sci) 28(04):80–93
Pan YK, Guo MM (2023) Air pollution and corporate ESG performance. J Quantitative Technol Econ 40(07):112–132
Porter M, Class V (1995) Toward a new conception of the environment competitiveness relationship. J Econ Perspective 9(4):97–118
Shen Z, Qu X (2022) Research on the influence of public participation on haze pollution in China. J Stat Inf 37(07):119–128
Shen W, Chai Z, Dai J (2020) Environmental regular competition and influence on haze pollution in Beijing-Tianjin-Hebei urban agglomeration. Econ Manage 34(04):15–23
Sheng X (2022a) Performance demands, high-quality economic development and smog pollution. J Shanxi Univ Finance Econ 44(07):16–28
Sheng X (2022b) Traffic development, space-time spillover and haze pollution. J Central Univ Finance Econ 416(4):96–105
Su D, Lian L (2018) Does green credit policy affect corporate financing and investment? Evidence from publicly listed firms in pollution-intensive industries. J Financial Res 12:123–137
Wang J, Huang H (2022) Research on the impact of green credit on carbon emissions: empirical analysis based on PSTR model and SDM model. Contemporary Econ Manage 44(9):80–90. https://doi.org/10.13253/j.cnki.ddjjgl.2022.09.011
doi: 10.13253/j.cnki.ddjjgl.2022.09.011
Wang X, Luo Y (2020) Has technological innovation capability addressed environmental pollution from the dual perspective of FDI quantity and quality? Evidence from China. J Clean Prod 258:120941. https://doi.org/10.1016/j.jclepro.2020.120941
doi: 10.1016/j.jclepro.2020.120941
Wang X, Wang Y (2021) Research on the green innovation promoted by green credit policies. J Manage World 37(06):173–188+11
Wang SJ, Liu XP, Yang X et al (2018) Spatial variations of PM2.5 in Chinese cities for the joint impacts of human activities and natural conditions: a global and local regression perspective. J Clean Prod 203:143–152
Wang L, Dai Y, Kong D (2021a) Air pollution and employee treatment. J Corp Finance 70:102067
Wang N, Zhu Y, Pei Y (2021b) The impact of public service supply on haze pollution: heterogeneity and mechanism. J Beijing Univ Inst Technol (Soc Sci Ed) 23(01):12–27. https://doi.org/10.15918/j.jbitss1009-3370.2021.3593
doi: 10.15918/j.jbitss1009-3370.2021.3593
Wang W, Dai Y, Qiao G (2021c) The impact of green credit policy on the competitiveness of commercial banks: a quasi-natural experiment of regional commercial banks. Res Financial Econ Issues 8:62–71
Wang Z, Ma J, Zhang B, Wang B (2021) Air pollution and residential migration: empirical evidence from smart meter data. J Manage World 37(03):19–33+3
Wang K, Xu R, Zhao B (2022) Can new infrastructure investment reduce haze pollution? Based on theoretical mechanism and empirical evidence. J Nanjing Univ Finance Econ 234(02):55–65
Wang Y, Zhang Y, Zhang X (2023) The impact of green credit on green development efficiency: a spatial econometric analysis based on the super-efficiency SBM model. J Dalian Univ Technol (Soc Sci Ed) 44(02):37–44
Wen Z, Zhang L, Hou J, Liu H (2004) Testing and application of the mediating effects. Acta Psychol Sin 5:614–620
Wu X, Bai L (2019) Fiscal decentralization, local government behavior and haze pollution: analysis based on PM2.5 concentration in 73 cities. On Econ Prob 3:23–31. https://doi.org/10.16011/j.cnki.jjwt.2019.03.004
doi: 10.16011/j.cnki.jjwt.2019.03.004
Wu X, Gao L, Guo Z et al (2023) The impact mechanism and heterogeneity of green credit on environmental pollution control: an empirical study in the Yangtze River Delta region of China. Rev Ind Econ 55(02):69–90
Xie T, Liu J (2019) How does green credit affect China’s green economy growth? China Pop Resour Environ 29(09):83–90
Xie Q, Zhang Y (2021) Green credit policies, supporting hand and innovation transformation of enterprises. Sci Res Manage 1:124–134
Xie Y, Chen J, Li W (2014) An assessment of PM2.5 related health risks and impaired values of Beijing residents in a consecutive high-level exposure during heavy haze days. Environ Sci 35(01):1–8
Xu K, Zhang Y (2021) Can green technology innovation bring “lucid waters and lush mountains”? China Pop Resour Environ 31(5):141–151
Xu S, Zhao X, Yao S (2018) Analysis on the effect of green credit on the upgrading of industrial structure. J Shanghai Univ Finance Econ 20(02):59–72
Yang L, Zhang Z (2022) The impact of green credit policy on corporate green innovation. Stud Sci Sci 40(02):345–356
Ye L, Chen X (2021) Effect of haze on inbound tourism in China and its regional disparity. Econ Geography 41(07):213–221
Yu MG, Zhong HJ, Fan R (2019) Privatization, financial constraints, and corporate innovation: evidence from China’s industrial enterprises. J Financial Res 4:75–91
Zeng Y, Han F, Liu J (2019) Do the agglomeration of producer services promote the quality of urban economic growth? J Quantitative Technol Econ 4(5):83–100. https://doi.org/10.13653/j.cnki.jqte.2019.05.005
doi: 10.13653/j.cnki.jqte.2019.05.005
Zhang C, Liu F (2023) Green credit policy, credit resource allocation and firm R&D investment: empirical research based on the differences-in-differences method. Manage Rev 35(07):122–137
Zhang P, Tu X (2022) Manufacturing agglomeration and haze: heterogeneity analysis based on energy consumption. J Beijing Univ Inst Tech (Soc Sci Ed) 24(6):30–40. https://doi.org/10.15918/j.jbitss1009-3370.2022.0871
doi: 10.15918/j.jbitss1009-3370.2022.0871
Zhang HR, Wu P (2023) The spatial spillover effect of green credit on carbon emission: analysis based on the moderating effect of environmental regulation. Southwest Finance 8:18–31
Zhang J, Fan H, Xu Z, Zhou L (2020) Structural decline in the GDP growth rate: the impact of the official assessment mechanism. Econ Res J 55(05):31–48
Zhang L, Xu M, Yang Z (2021a) The haze pollution mitigation effect of intellectual property protection and its technological innovation mechanism test. Nankai Econ Stud 217(01):164–183. https://doi.org/10.14116/j.nkes.2021.01.010
doi: 10.14116/j.nkes.2021.01.010
Zhang M, Zhang L, Song Y (2021b) Heterogeneous environmental regulations, spatial spillover and haze pollution. China Pop Resour Environ 31(12):53–61
Zhang K, Li Y, Zhao J (2022a) Can green credit promote energy conservation and emission reduction? Finance Econ 1:15–30
Zhang T, Li ZH, Cui J (2022b) Green finance, environmental regulation and industrial structure optimization. J Shanxi Univ Finance Econ 44(06):84–98
Zhang Y, Li X, Xing C (2022c) How does China’s green credit policy affect the green innovation of high polluting enterprises? The perspective of radical and incremental innovations. J Clean Prod 336:130387
Zhu X, Zhu S, Huang Y, Huang H (2021) How does green finance impact Chinese urban environmental pollution? A case study of haze pollution. Trop Geogr 41(1):55–66. https://doi.org/10.13284/j.cnki.rddl.003303
doi: 10.13284/j.cnki.rddl.003303