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The mechanism and path of finance promoting the development of low carbon economy

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Promoting the development of low-carbon economy (LCEco) to protect the environment is an important dimension to enhance national competitiveness and an effective path to achieve high-quality national development. Therefore, based on the endogenous LCEco growth theory, from the two dimensions of financial technology innovation (FTI) and financial product innovation (FPI), using the spatial measurement method of SLM and SEM, using the panel data of 30 provinces (municipalities and autonomous regions) from 2009 to 2021, this paper deeply explores the impact of FTI and FPI on the development of LCEco. The results show that: FTI and FPI have synergistic effect and positive spatial spillover effect on the LCEco, whose elastic coefficients for them are respectively (–0.125, p < 0.05; –0.084, p < 0.05). Different regions have obvious heterogeneous effects on the FTI, FPI and LCEco, whose elastic coefficients for them are (0.318, p < 0.05; 0.332, p < 0.05). The conclusion not only provides empirical support for the endogenous LCEco growth theory, but also provides effective evidence for the high-quality development path of China’s LCEco.
Rocznik
Strony
227--234
Opis fizyczny
Bibliogr. 19 poz., tab.
Twórcy
autor
  • Economics and Management School of Wuhan University, Wuhan, 430000, China
Bibliografia
  • [1] Wu CH, Tsai SB, Liu W, Shao XF, Sun R, Wacławek M. Eco-technology and eco-innovation for green sustainable growth. Ecol Chem Eng S. 2021;28(1):7-10. DOI: 10.2478/eces-2021-0001.
  • [2] Liu W, Li Y, Liu T, Liu M, Wei H. How to promote low-carbon economic development? A comprehensive assessment of carbon tax policy in China. Int J Environ Res Public Health. 2021;18(20):10699. DOI: 10.3390/ijerph182010699.
  • [3] Owen R, Brennan G, Lyon F. Enabling investment for the transition to a low carbon economy: Government policy to finance early stage green innovation. Current Opinion Environ Sust. 2018;31:137-45. DOI: 10.1016/j.cosust.2018.03.004.
  • [4] Wang F, Chun W, Cui Y. Urban water resources allocation and low-carbon economic development based on soft computing. Environ Technol Innov. 2022;28:102292. DOI 10.1016/j.eti.2022.102292.
  • [5] Samargandi N, Sohag K. The interaction of finance and innovation for low carbon economy: Evidence from Saudi Arabia. Energy Strategy Rev. 2022;41:100847. DOI: 10.1016/j.esr.2022.100847.
  • [6] Yuan B, Li C, Xiong X. Innovation and environmental total factor productivity in China: the moderating roles of economic policy uncertainty and marketization process. Environ Sci Pollut Res. 2021;28:9558-81. DOI: 10.1007/s11356-020-11426-3.
  • [7] Li F, Xu X, Li Z, Du P, Ye J. Can low-carbon technological innovation truly improve enterprise performance? The case of Chinese manufacturing companies. J Cleaner Production. 2021;293:125949. DOI: 10.1016/j.jclepro.2021.125949.
  • [8] Guo Q, Zhou M, Liu N, Wang Y. Spatial effects of environmental regulation and green credits on green technology innovation under low-carbon economy background conditions. Int J Environ Res Public Health. 2019;16(17):3027. DOI: 10.3390/ijerph16173027.
  • [9] Zhu C, Lee CC. The effects of low-carbon pilot policy on technological innovation: Evidence from prefecture-level data in China. Technol Forecasting Social Change. 2022;183:121955. DOI: 10.1016/j.techfore.2022.121955.
  • [10] Hao X, Li Y, Ren S, Wu H, Hao Y. The role of digitalization on green economic growth: Does industrial structure optimization and green innovation matter? J Environ Manage. 2023;325:116504. DOI: 10.1016/j.jenvman.2022.116504.
  • [11] Wang S, Cao P, Ouyang X. Nonlinear influence of construction land on poverty reduction efficiency in Chinese poor counties: new evidence using a panel threshold model. Environ Development Sust. 2022:1-31. DOI: 10.1007/s10668-022-02848-9.
  • [12] Li J, Li F, Li J. Does new-type urbanization help reduce haze pollution damage? Evidence from China’s county-level panel data. Environ Sci Pollut Res. 2022;29(31):47123-36. DOI: 10.1007/s11356-022-19272-1.
  • [13] Lv C, Shao C, Lee CC. Green technology innovation and financial development: do environmental regulation and innovation output matter? Energy Economics. 2021;98:105237. DOI: 10.1016/j.eneco.2021.105237.
  • [14] Khan Z, Hussain M, Shahbaz M, Yang S, Jiao Z. Natural resource abundance, technological innovation, and human capital nexus with financial development: a case study of China. Resources Policy. 2020;65:101585. DOI: 10.1016/j.resourpol.2020.101585.
  • [15] Huang H, Chen Z. Development of e-commerce based on digital information technology[C]. The 2021 Int Conf Machine Learning Big Data Analytics for IoT Security and Privacy: SPIoT-2021. Volume 2. Springer Int Publishing. 2022;247-53. DOI: 10.1007/978-3-030-89511-2_31.
  • [16] Xue E, Li J. Cultivating high-level innovative talents by integration of science and education in China: A strategic policy perspective. Educational Philosophy Theory. 2022;54(9):1419-30. DOI: 10.1080/00131857.2021.1918545.
  • [17] Xu Y. Exploration of practical teaching reform based on high-quality international talent cultivation. ICCCM J Social Sci Humanities. 2022;1(3):38-48. DOI: 10.53797/icccmjssh.v1i3.5.2022.
  • [18] Wu CH. An empirical study on discussion and evaluation of green university. Ecol Chem Eng S. 2021;28(1):75-87. DOI: 10.2478/eces-2021-0007.
  • [19] Liu W, Tsai SB, Wu CH, Shao X, Wacławek M. Corporate environmental management and sustainable operation: theory and application. Ecol Chem Eng S. 2022;29(3):283-5. DOI: 10.2478/eces-2022-0020.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9810cfe2-d3f7-4295-a0d5-7b86766c0757
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