The massive emission of greenhouse gases poses a serious threat to the ecological environment. In this context, the relevant effects of the carbon emission trading (CET) market, which promotes greenhouse gas emission reduction by market means, have been widely investigated. Taking the China's CET pilot as a research target, the heterogeneity and spillover effects of CET on green innovation are explored by using the sample data of 279 prefecture-level cities in China from 2008 to 2019. The results are as follows. First, on the whole, CET significantly promotes strategic green innovation, but it has no significant effect on substantive green innovation. Second, the green innovation effect of CET varies with the level of green innovation, and the heterogeneous effects of green innovation are also reflected in different degrees of marketization, fiscal decentralization and government environmental concern. Third, CET has a positive spillover effect on green innovation, and the spillover effect is more significant than the direct effect, accounting for 74.8% of the total effect. Finally, some corresponding policy suggestions are put forward according to the above research conclusions.
Citation: Yanhong Feng, Qingqing Hu. Heterogeneity and spillover effects of carbon emission trading on green innovation[J]. Mathematical Biosciences and Engineering, 2023, 20(4): 6468-6497. doi: 10.3934/mbe.2023279
The massive emission of greenhouse gases poses a serious threat to the ecological environment. In this context, the relevant effects of the carbon emission trading (CET) market, which promotes greenhouse gas emission reduction by market means, have been widely investigated. Taking the China's CET pilot as a research target, the heterogeneity and spillover effects of CET on green innovation are explored by using the sample data of 279 prefecture-level cities in China from 2008 to 2019. The results are as follows. First, on the whole, CET significantly promotes strategic green innovation, but it has no significant effect on substantive green innovation. Second, the green innovation effect of CET varies with the level of green innovation, and the heterogeneous effects of green innovation are also reflected in different degrees of marketization, fiscal decentralization and government environmental concern. Third, CET has a positive spillover effect on green innovation, and the spillover effect is more significant than the direct effect, accounting for 74.8% of the total effect. Finally, some corresponding policy suggestions are put forward according to the above research conclusions.
[1] | UNFCCC, Kyoto Protocol to the United Nations Framework Convention on Climate Change, Available from: https://legal.un.org/avl/pdf/ha/kpccc/kpccc_ph_e.pdf. |
[2] | Q. Weng, H. Xu, A review of China's carbon trading market, Renewable Sustainable Energy Rev., 91 (2018), 613–619. https://doi.org/10.1016/j.rser.2018.04.026 doi: 10.1016/j.rser.2018.04.026 |
[3] | X. Bing, J. Bloemhof-Ruwaard, A. Chaabane, J. van der Vorst, Global reverse supply chain redesign for household plastic waste under the emission trading scheme. J. Cleaner Prod., 103 (2015), 28–39. https://doi.org/10.1016/j.jclepro.2015.02.019 doi: 10.1016/j.jclepro.2015.02.019 |
[4] | M. Kanwal, H. Khan, Does carbon asset add value to clean energy market? Evidence from EU, Green Finance, 3 (2021), 495–507. https://doi.org/10.3934/GF.2021023 doi: 10.3934/GF.2021023 |
[5] | J. Jiang, D. Xie, B. Ye, B. Shen, Z. M. Chen, Research on China's cap-and-trade carbon emission trading scheme: Overview and outlook, Appl. Energy, 178 (2016), 902–917. https://doi.org/10.1016/j.apenergy.2016.06.100 doi: 10.1016/j.apenergy.2016.06.100 |
[6] | H. Duan, Q. Hu, Local officials' concerns of climate change issues in China: a case from Jiangsu, J. Cleaner Prod., 64 (2014), 545–551. https://doi.org/10.1016/j.jclepro.2013.08.036 doi: 10.1016/j.jclepro.2013.08.036 |
[7] | Z. Huang, H. Dong, S. Jia, Equilibrium pricing for carbon emission in response to the target of carbon emission peaking, Energy Econ., 112 (2022), 106160. https://doi.org/10.1016/j.eneco.2022.106160 doi: 10.1016/j.eneco.2022.106160 |
[8] | K. H. Lee, B. Min, Green R&D for eco-innovation and its impact on carbon emissions and firm performance, J. Cleaner Prod., 108 (2015), 534–542. https://doi.org/10.1016/j.jclepro.2015.05.114 doi: 10.1016/j.jclepro.2015.05.114 |
[9] | W. Zhang, J. Li, G. X. Li, S. C. Guo, Emission reduction effect and carbon market efficiency of carbon emissions trading policy in China, Energy, 196 (2020), 117117. https://doi.org/10.1016/j.energy.2020.117117 doi: 10.1016/j.energy.2020.117117 |
[10] | W. Z. Xu, The impact and influencing path of the pilot carbon emission trading market—Evidence from China, Front. Environ. Sci., 9 (2021). https://doi.org/10.3389/fenvs.2021.787655 doi: 10.3389/fenvs.2021.787655 |
[11] | X. Y. Yang, P. Jiang, Y. Pan, Does China's carbon emission trading policy have an employment double dividend and a Porter effect, Energy Policy, 142 (2020), 111492. https://doi.org/10.1016/j.enpol.2020.111492 doi: 10.1016/j.enpol.2020.111492 |
[12] | W. L. Yu, J. L. Luo, Impact on carbon intensity of carbon emission trading—Evidence from a Pilot Program in 281 Cities in China, Int. J. Environ. Res. Public Health, 19 (2022), 12483. https://doi.org/10.3390/ijerph191912483 doi: 10.3390/ijerph191912483 |
[13] | J. Y. Mo, Do environmental policy and innovation improve carbon productivity? Evidence from the Korean emission trading scheme, Energy Environ., 2021 (2021). https://doi.org/10.1177/0958305X211064575 doi: 10.1177/0958305X211064575 |
[14] | J. Chen, W. Gui, Y. Huang, The impact of the establishment of carbon emission trade exchange on carbon emission efficiency, Environ. Sci. Pollut. Res., 2022 (2022). https://doi.org/10.1007/s11356-022-23538-z doi: 10.1007/s11356-022-23538-z |
[15] | L. Chen, Y. N. Liu, Y. Gao, J. J. Wang, Carbon emission trading policy and carbon emission efficiency: An empirical analysis of China's prefecture-level cities, Front. Energy Res., 9 (2021). https://doi.org/10.3389/fenrg.2021.793601 doi: 10.3389/fenrg.2021.793601 |
[16] | X. M. Zhang, F. F. Lu, D. Xue, Does China's carbon emission trading policy improve regional energy efficiency?—an analysis based on quasi-experimental and policy spillover effects, Environ. Sci. Pollut. Res., 29 (2022), 21166–21183. https://doi.org/10.1007/s11356-021-17021-4 doi: 10.1007/s11356-021-17021-4 |
[17] | W. Zhang, G. X. Li, F. Y. Guo, Does carbon emissions trading promote green technology innovation in China, Appl. Energy, 315 (2022), 119012. https://doi.org/10.1016/j.apenergy.2022.119012 doi: 10.1016/j.apenergy.2022.119012 |
[18] | F. Qu, L. Xu, Y. F. Chen, Can market-based environmental regulation promote green technology innovation? Evidence from China, Front. Environ. Sci., 9 (2022). https://doi.org/10.3389/fenvs.2021.823536 doi: 10.3389/fenvs.2021.823536 |
[19] | M. Porter, C. Linde, Green and competitive: ending the stalemate, Long Range Plann., 28 (1995), 128–129. https://doi.org/10.1016/0024-6301(95)99997-E doi: 10.1016/0024-6301(95)99997-E |
[20] | S. Ambec, M. Cohen, S. Elgie, P. Lanoie, The porter hypothesis at 20: can environmental regulation enhance innovation and competitiveness, Rev. Environ. Econ. Policy, 7 (2010), 2–22. https://doi.org/10.1093/reep/res016 doi: 10.1093/reep/res016 |
[21] | M. Greenstone, J. A. List, C. Syverson, The effects of environmental regulation on the competitiveness of US Manufacturing, NBER Working Paper, 2012. https://doi.org/10.3386/w18392 doi: 10.3386/w18392 |
[22] | W. Gray, R. Shadbegian, Plant vintage, technology, and environmental regulation, J. Environ. Econ. Manage., 46 (2003), 384–402. https://doi.org/10.1016/S0095-0696(03)00031-7 doi: 10.1016/S0095-0696(03)00031-7 |
[23] | P. Lanoie, M. Patry, R. Lajeunesse, Environmental regulation and productivity: Testing the porter hypothesis, J. Prod. Anal., 30 (2008), 121–128. https://doi.org/10.1007/s11123-008-0108-4 doi: 10.1007/s11123-008-0108-4 |
[24] | X. Zhao, Y. P. Shang, X. W. Ma, P. F. Xia, U. Shahzad, Does carbon trading lead to green technology innovation: Recent evidence from Chinese companies in resource-based industries, IEEE Trans. Eng. Manage., 2022 (2022), 1–18. https://doi.org/10.1109/tem.2022.3186905 doi: 10.1109/tem.2022.3186905 |
[25] | L. Fu, Y. Yi, T. Wu, R. Cheng, Z. Zhang, Do carbon emission trading scheme policies induce green technology innovation? New evidence from provincial green patents in China, Environ. Sci. Pollut. Res., 2022 (2022). https://doi.org/10.1007/s11356-022-22877-1 doi: 10.1007/s11356-022-22877-1 |
[26] | G. W. Imbens, J. M. Wooldridge, Recent developments in the econometrics of program evaluation, J. Econ. Lit., 47 (2009), 5–86. https://doi.org/10.1257/jel.47.1.5 doi: 10.1257/jel.47.1.5 |
[27] | N. Baum-Snow, F. Ferreira, Causal inference in urban and regional economics, Handb. Reg. Urban Econ., 5 (2015), 3–68. https://doi.org/10.1016/B978-0-444-59517-1.00001-5 doi: 10.1016/B978-0-444-59517-1.00001-5 |
[28] | Y. Q. Liu, S. Liu, X. Y. Shao, Y. Q. He, Policy spillover effect and action mechanism for environmental rights trading on green innovation: Evidence from China's carbon emissions trading policy, Renewable Sustainable Energy Rev., 153 (2022), 111779. https://doi.org/10.1016/j.rser.2021.111779 doi: 10.1016/j.rser.2021.111779 |
[29] | C. Wang, Y. Shi, L. Zhang, X. Zhao, H. X. Chen, The policy effects and influence mechanism of China's carbon emissions trading scheme, Air Qual. Atmos. Health, 14 (2021), 2101–2114. https://doi.org/10.1007/s11869-021-01081-z doi: 10.1007/s11869-021-01081-z |
[30] | Z. Y. Z. Dong, C. Y. Xia, K. Fang, W. W. Zhang, Effect of the carbon emissions trading policy on the co-benefits of carbon emissions reduction and air pollution control, Energy Policy, 165 (2022), 112998. https://doi.org/10.1016/j.enpol.2022.112998 doi: 10.1016/j.enpol.2022.112998 |
[31] | Y. J. Zhang, T. Liang, Y. L. Jin, B. Shen, The impact of carbon trading on economic output and carbon emissions reduction in China's industrial sectors, Appl. Energy, 260 (2020), 114290. https://doi.org/10.1016/j.apenergy.2019.114290 doi: 10.1016/j.apenergy.2019.114290 |
[32] | K. K. Zhang, D. Y. Xu, S. R. Li, N. Zhou, J. H. Xiong, Has China's pilot emissions trading scheme influenced the carbon intensity of output, Int. J. Environ. Res. Public Health, 16 (2019), 1854. https://doi.org/10.3390/ijerph16101854 doi: 10.3390/ijerph16101854 |
[33] | J. Zhou, X. J. Huo, B. L. Jin, X. C. Yu, The efficiency of carbon trading market in China: evidence from variance ratio tests, Environ. Sci. Pollut. Res., 26 (2019), 14362–14372. https://doi.org/10.1007/s11356-019-04778-y doi: 10.1007/s11356-019-04778-y |
[34] | A. B. Jaffe, K. Palmer, Environmental regulation and innovation: a panel data study, Rev. Econ. Statis., 79 (1997), 610–619. https://doi.org/10.1162/003465397557196 doi: 10.1162/003465397557196 |
[35] | A. Bitat, Environmental regulation and eco-innovation: the Porter hypothesis refined, Eurasian Bus. Rev., 8 (2018), 299–321. https://doi.org/10.1007/s40821-017-0084-6 doi: 10.1007/s40821-017-0084-6 |
[36] | J. Hu, X. Pan, Q. Huang, Quantity or quality? The impacts of environmental regulation on firms' innovation—Quasi-natural experiment based on China's carbon emissions trading pilot, Technol. Forecasting Social Change, 158 (2020), 120122. https://doi.org/10.1016/j.techfore.2020.120122 doi: 10.1016/j.techfore.2020.120122 |
[37] | M. C. Lv, M. Y. Bai, Evaluation of China's carbon emission trading policy from corporate innovation, Finance Res. Lett., 39 (2021), 101565. https://doi.org/10.1016/j.frl.2020.101565 doi: 10.1016/j.frl.2020.101565 |
[38] | H. Tian, J. E. Lin, C. Y. Jiang, The impact of carbon emission trading policies on enterprises' green technology innovation-evidence from listed companies in China, Sustainability, 14 (2022), 7207. https://doi.org/10.3390/su14127207 doi: 10.3390/su14127207 |
[39] | J. M. Zhu, Y. C. Fan, X. H. Deng, L. Xue, Low-carbon innovation induced by emissions trading in China, Nat. Commun., 10 (2019). https://doi.org/10.1038/s41467-019-12213-6 doi: 10.1038/s41467-019-12213-6 |
[40] | S. W. Yang, T. S. Lu, T. C. Huang, C. Wang, Re-examining the effect of carbon emission trading policy on improving the green innovation of China's enterprises, Environ. Sci. Pollut. Res., 2022 (2022). https://doi.org/10.1007/s11356-022-22621-9 doi: 10.1007/s11356-022-22621-9 |
[41] | L. Zhang, C. C. Cao, F. Tang, J. X. He, D. Y. Li, Does China's emissions trading system foster corporate green innovation? Evidence from regulating listed companies, Technol. Anal. Strategic Manage., 31 (2019), 199–212. https://doi.org/10.1080/09537325.2018.1493189 doi: 10.1080/09537325.2018.1493189 |
[42] | M. Liu, Y. F. Shan, Y. M. Li, Study on the effect of carbon trading regulation on green innovation and heterogeneity analysis from China, Energy Policy, 171 (2022), 113290. https://doi.org/10.1016/j.enpol.2022.113290 doi: 10.1016/j.enpol.2022.113290 |
[43] | M. H. Liu, Y. X. Li, Environmental regulation and green innovation: Evidence from China?s carbon emissions trading policy, Finance Res. Lett., 48 (2022), 103051. https://doi.org/10.1016/j.frl.2022.103051 doi: 10.1016/j.frl.2022.103051 |
[44] | S. Z. Qi, C. B. Zhou, K. Li, S. Y. Tang, Influence of a pilot carbon trading policy on enterprises' low-carbon innovation in China, Clim. Policy, 21 (2021), 318–336. https://doi.org/10.1080/14693062.2020.1864268 doi: 10.1080/14693062.2020.1864268 |
[45] | H. X. Yu, Y. H. Jiang, Z. W. Zhang, W. L. Shang, C. J. Han, Y. J. Zhao, The impact of carbon emission trading policy on firms' green innovation in China, Financ. Innovation, 8 (2022). https://doi.org/10.1186/s40854-022-00359-0 doi: 10.1186/s40854-022-00359-0 |
[46] | Z. X. Weng, Z. Ma, Y. Xie, C. Y. Cheng, Effect of China's carbon market on the promotion of green technological innovation, J. Cleaner Prod., 373 (2022). https://doi.org/10.1016/j.jclepro.2022.133820 doi: 10.1016/j.jclepro.2022.133820 |
[47] | C. Li, X. Li, D. Song, M. Tian, Does a carbon emissions trading scheme spur urban green innovation? Evidence from a quasi-natural experiment in China, Energy Environ., 33 (2021), 640–662. https://doi.org/10.1177/0958305X211015327 doi: 10.1177/0958305X211015327 |
[48] | F. X. Zhou, X. Y. Wang, The carbon emissions trading scheme and green technology innovation in China: A new structural economics perspective, Econ. Anal. Policy, 74 (2022), 365–381. https://doi.org/10.1016/j.eap.2022.03.007 doi: 10.1016/j.eap.2022.03.007 |
[49] | Z. F. Chen, X. Zhang, F. L. Chen, Do carbon emission trading schemes stimulate green innovation in enterprises? Evidence from China, Technol. Forecasting Social Change, 168 (2021). https://doi.org/10.1016/j.techfore.2021.120744 doi: 10.1016/j.techfore.2021.120744 |
[50] | X. H. Lyu, A. N. Shi, X. Wang, Research on the impact of carbon emission trading system on low-carbon technology innovation, Carbon Manage., 11 (2020), 183–193. https://doi.org/10.1080/17583004.2020.1721977 doi: 10.1080/17583004.2020.1721977 |
[51] | S. Y. Yao, X. Y. Yu, S. Yan, S. Y. Wen, Heterogeneous emission trading schemes and green innovation, Energy Policy, 155 (2021), 112367. https://doi.org/10.1016/j.enpol.2021.112367 doi: 10.1016/j.enpol.2021.112367 |
[52] | Y. G. Wei, R. Q. Zhu, L. Y. Tan, Emission trading scheme, technological innovation, and competitiveness: Evidence from China's thermal power enterprises, J. Environ. Manage., 320 (2022), 115874. https://doi.org/10.1016/j.jenvman.2022.115874 doi: 10.1016/j.jenvman.2022.115874 |
[53] | Y. Zhang, Y. Peng, C. Ma, B. Shen, Can environmental innovation facilitate carbon emissions reduction? Evidence from China, Energy Policy, 100 (2017), 18–28. https://doi.org/10.1016/j.enpol.2016.10.005 doi: 10.1016/j.enpol.2016.10.005 |
[54] | B. H. Hall, C. Helmers, Innovation and diffusion of clean/green technology: Can patent commons help, J. Environ. Econ. Manage., 66 (2013), 33–51. https://doi.org/10.1016/j.jeem.2012.12.008 doi: 10.1016/j.jeem.2012.12.008 |
[55] | D. Popp, The role of technological change in green growth, NBER Working Paper No. 18506, 2012. https://doi.org/10.3386/w18506 doi: 10.3386/w18506 |
[56] | G. W. Hua, T. C. E. Cheng, S. Y. Wang, Managing carbon footprints in inventory management, Int. J. Prod. Econ., 132 (2011), 178–185. https://doi.org/10.1016/j.ijpe.2011.03.024 doi: 10.1016/j.ijpe.2011.03.024 |
[57] | K. S. Rogge, M. Schneider, V. H. Hoffmann, The innovation impact of the EU emission trading system—Findings of company case studies in the German power sector, Ecol. Econ., 70 (2011), 513–523. https://doi.org/10.1016/j.ecolecon.2010.09.032 doi: 10.1016/j.ecolecon.2010.09.032 |
[58] | Z. Li, G. Liao, K. Albitar, Does corporate environmental responsibility engagement affect firm value? The mediating role of corporate innovation, Bus. Strategy Environ., 29 (2020), 1045–1055. |
[59] | Y. Liu, P. Failler, Y. Ding, Enterprise financialization and technological innovation: Mechanism and heterogeneity, PloS One, 17 (2022), e0275461. https://doi.org/10.1371/journal.pone.0275461 doi: 10.1371/journal.pone.0275461 |
[60] | Y. Guo, X. Xia, S. Zhang, D. Zhang, Environmental regulation, government R&D funding and green technology innovation: Evidence from China provincial data, Sustainability, 10 (2018), 940. https://doi.org/10.3390/su10040940 doi: 10.3390/su10040940 |
[61] | M. Islam, A. Fremeth, A. Marcus, Signaling by early stage startups: US government research grants and venture capital funding, J. Bus. Venturing, 33 (2018), 35–51. https://doi.org/10.1016/j.jbusvent.2017.10.001 doi: 10.1016/j.jbusvent.2017.10.001 |
[62] | G. Garau, Total Factor Productivity and Relative Prices: The case of Italy, 2019. |
[63] | Z. Li, F. Zou, B. Mo, Does mandatory CSR disclosure affect enterprise total factor productivity, Econ. Res. Ekonomska Istraživanja, 35 (2021), 4902–4921. https://doi.org/10.1080/1331677X.2021.2019596 doi: 10.1080/1331677X.2021.2019596 |
[64] | G. I. J. Wooldridge, Recent developments in the econometrics of program evaluation, J. Econ. Lit., 47 (2009), 5–48. https://doi.org/10.1111/j.0042-7092.2007.00700.x doi: 10.1111/j.0042-7092.2007.00700.x |
[65] | T. Beck, R. Levine, A. Levkov, Big bad banks? the winners and losers from bank deregulation in the United States, J. Finance, 65 (2010), 1637–1667. https://doi.org/10.1111/j.1540-6261.2010.01589.x doi: 10.1111/j.1540-6261.2010.01589.x |
[66] | T. Li, J. Ma, Does digital finance benefit the income of rural residents? A case study on China, Quant. Finance Econ., 5 (2021), 664–688. https://doi.org/10.3934/QFE.2021030 doi: 10.3934/QFE.2021030 |
[67] | Q. Hu, X. Wang, M. Xu, Are there heterogeneous impacts of social support on subjective well-being, Natl. Account. Rev., 3 (2021), 360–376. https://doi.org/10.3934/NAR.2021019 doi: 10.3934/NAR.2021019 |
[68] | Y. H. Feng, S. L. Chen, P. Failler, Productivity effect evaluation on market-type environmental regulation: A case study of SO2 emission trading pilot in China, Int. J. Environ. Res. Public Health, 17 (2020), 8027. https://doi.org/10.3390/ijerph17218027 doi: 10.3390/ijerph17218027 |
[69] | P. R. Rosenbaum, D. B. Rubin, The central role of the propensity score in observational studies for causal effects, Biometrika, 70 (1983), 41–45. https://doi.org/10.1093/biomet/70.1.41 doi: 10.1093/biomet/70.1.41 |
[70] | S. Firpo, N. M. Fortin, T. Lemieux, Unconditional quantile regressions, Econometrica, 77 (2009), 953–973. https://doi.org/10.3982/ECTA6822 doi: 10.3982/ECTA6822 |
[71] | N. T. Borgen, Fixed effects in unconditional quantile regression, Stata J., 16 (2016), 403–415. https://doi.org/10.1177/1536867X1601600208 doi: 10.1177/1536867X1601600208 |
[72] | Y. Sunak, R. Madlener, The impact of wind farm visibility on property values: A spatial difference-in-differences analysis, Energy Econ., 55 (2016), 79–91. https://doi.org/10.1016/j.eneco.2015.12.025 doi: 10.1016/j.eneco.2015.12.025 |
[73] | F. Belotti, G. Hughes, A. P. Mortari, Spatial panel-data models using stata, Stata J., 17 (2017), 139–180. https://doi.org/10.1177/1536867X1701700109 doi: 10.1177/1536867X1701700109 |
[74] | J. Lesage, R. Pace, Introduction to spatial econometrics, CRC Press, New York, 2009. https://doi.org/10.1201/9781420064254 |
[75] | Z. Liao, C. Weng, C. Shen, Can public surveillance promote corporate environmental innovation? The mediating role of environmental law enforcement, Sustainable Dev., 28 (2020), 1519–1527. https://doi.org/10.1002/sd.2101 doi: 10.1002/sd.2101 |
[76] | G. M. Wang, K. M. Cheng, Y. S. Luo, M. Salman, Heterogeneous environmental regulations and green economic efficiency in China: the mediating role of industrial structure, Environ. Sci. Pollut. Res., 29 (2022), 63423–63443. https://doi.org/10.1007/s11356-022-20112-5 doi: 10.1007/s11356-022-20112-5 |
[77] | I. S. Farouq, N. U. Sambo, A. U. Ahmad, A. H. Jakada, I. A. Danmaraya, Does financial globalization uncertainty affect CO2 emissions? Empirical evidence from some selected SSA countries, Quant. Finance Econ., 5 (2021), 247–263. https://doi.org/10.3934/QFE.2021011 doi: 10.3934/QFE.2021011 |
[78] | M. Qamruzzaman, Do international capital flows, institutional quality matter for innovation output: the mediating role of economic policy uncertainty, Green Finance, 3 (2021), 351–382. https://doi.org/10.3934/GF.2021018 doi: 10.3934/GF.2021018 |
[79] | Y. Feng, S. Chen, W. Xuan, T. Yong, Time-varying impact of U.S. financial conditions on China's inflation: a perspective of different types of events, Quant. Finance Econ., 5 (2021), 604–622. https://doi.org/10.3934/QFE.2021027 doi: 10.3934/QFE.2021027 |
[80] | M. Wang, L. Li, H. Lan, The measurement and analysis of technological innovation diffusion in China's manufacturing industry, Natl. Account. Rev., 3 (2021), 452–471. https://doi.org/10.3934/NAR.2021024 doi: 10.3934/NAR.2021024 |
[81] | Z. Li, H. Chen, B. Mo, Can digital finance promote urban innovation? Evidence from China, Borsa Istanbul Rev., 2022 (2022), 11–18. https://doi.org/10.1016/j.bir.2022.10.006 doi: 10.1016/j.bir.2022.10.006 |
[82] | T. Li, X. Li, G. Liao, Business cycles and energy intensity. Evidence from emerging economies. Borsa Istanbul Rev., 22 (2021), 560–570. https://doi.org/10.1016/j.bir.2021.07.005 doi: 10.1016/j.bir.2021.07.005 |
[83] | F. Gang, X. Wang, G. Ma, The contribution of China's marketization process to economic growth, Econ. Res. J., 46 (2011), 4–16. |
[84] | Z. Chen, M. E. Kahn, Y. Liu, Z. Wang, The consequences of spatially differentiated water pollution regulation in China, J. Environ. Econ. Manage., 88 (2018), 468–485. https://doi.org/10.1016/j.jeem.2018.01.010 doi: 10.1016/j.jeem.2018.01.010 |
[85] | Y. Yao, D. Hu, C. Yang, Y. Tan, The impact and mechanism of fintech on green total factor productivity, Green Finance, 3 (2021), 198–221. https://doi.org/10.3934/GF.2021011 doi: 10.3934/GF.2021011 |
[86] | Z. Li, C. Yang, Z. Huang, How does the fintech sector react to signals from central bank digital currencies, Finance Res. Lett., 50 (2022), 103308. https://doi.org/10.1016/j.frl.2022.103308 doi: 10.1016/j.frl.2022.103308 |
[87] | Z. H. Li, J. H. Zhong, Impact of economic policy uncertainty shocks on China's financial conditions, Finance Res. Lett., 35 (2020), 101303. https://doi.org/10.1016/j.frl.2019.101303 doi: 10.1016/j.frl.2019.101303 |
[88] | C. X. Zhang, D. Q. Zhou, Q. W. Wang, H. Ding, S. Q. Zhao, Will fiscal decentralization stimulate renewable energy development? Evidence from China, Energy Policy, 164 (2022), 112893. https://doi.org/10.1016/j.enpol.2022.112893 doi: 10.1016/j.enpol.2022.112893 |
[89] | X. Cai, Y. Lu, M. Wu, L.Yu, Does environmental regulation drive away inbound foreign direct investment? Evidence from a quasi-natural experiment in China, J. Dev. Econ., 123 (2016), 73–85. https://doi.org/10.1016/j.jdeveco.2016.08.003 doi: 10.1016/j.jdeveco.2016.08.003 |
[90] | S. Firpo, N. M. Fortin, T. Lemieux, Unconditional quantile regressions, Econometrica, 77 (2009), 953–973. https://doi.org/10.3982/ecta6822 doi: 10.3982/ecta6822 |
[91] | N. Borgen, Fixed effects in unconditional quantile regression, Stata J.: Promot. Commun. Stat. Stata, 16 (2016), 403–415. https://doi.org/10.1177/1536867X1601600208 doi: 10.1177/1536867X1601600208 |