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Research on the low carbon of GFD : from the perspective of GL based on environmental protection

Autorzy
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Enhancing the low-carbon effect of green finance development (GFD) is an effective way for China to accelerate the comprehensive deepening of supply side structural reform, better realise the high-quality development of green economy and better protect the environment. Therefore, based on the green technology innovation theory and endogenous growth theory, from the four dimensions of green innovation (GI) in the GLOBIO model, the unbalanced panel data of 8976 manufacturing listed companies from 2009 to 2021 were used. This paper deeply explores the low-carbon effect of GI on the development of green finance (GF) in China’s manufacturing industry. The results show that: on the whole, GI based on environmental protection has a significant incentive effect on the low-carbon effect of GFD. Compared with green material innovation and green process innovation, green product design innovation and green equipment innovation have more incentive effect. Further analysis shows that green product design innovation and green equipment innovation can produce incremental effect on the low-carbon effect of green financial development through green material innovation. The conclusion not only provides empirical support for green technology innovation theory and endogenous growth theory, but also provides effective evidence for the path of GF to achieve low-carbon development.
Rocznik
Strony
93--101
Opis fizyczny
Bibliogr. 16 poz., tab.
Twórcy
autor
  • Zhengzhou Shengda University, Xinzheng, Henan 451191, China
autor
  • Zhengzhou Shengda University, Xinzheng, Henan 451191, China
Bibliografia
  • [1] Li SS, Wang GWJ, Li Y, Geng JC, Zhu JQ. Analysis and prediction of the coupling and coordinated development of green finance - environmental protection in China. Sustainability. 2022;14(15):9777. DOI: 10.3390/su14159777.
  • [2] 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.
  • [3] Feng LG, Shang S, An SF, Yang WL. The spatial heterogeneity effect of green finance development on carbon emissions. Entropy. 2022;24(8):1042. DOI: 10.3390/e24081042.
  • [4] Lu M, Sun GF, He ZC. Analysis and evaluation of factors influencing the low-carbon effect of urban high-rise settlement planning schemes based on AHP-fuzzy comprehensive evaluation method. Mathematical Problems Eng. 2022;(2022):9529110. DOI: 10.1155/2022/9529110.
  • [5] 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.
  • [6] Sun WB, Du HB, Li JL, Jiao YF, Liu L. The low-carbon effect measurement of the structural adjustment of the ice and snow industry based on artificial intelligence. Security Communication Networks. 2022;(2022):7618340. DOI: 10.1155/2022/7618340.
  • [7] Xiong Q, Sun D. Influence analysis of green finance development impact on carbon emissions: an exploratory study based on fsQCA. Environ Sci Pollut Res Int. 2022;1-12. DOI: 10.1007/s11356-021-18351-z.
  • [8] Yang Z, Shi Q, Lv X, Shi Q. Heterogeneous low-carbon targets and energy structure optimization: Does stricter carbon regulation really matter? Structural Change Economic Dynamics. 2022;60:329-43. DOI: 10.1016/j.strueco.2021.12.008.
  • [9] Lv CC, Bian BC, Lee CC, He ZW. Regional gap and the trend of green finance development in China. Energy Economics. 2021;102. DOI: 10.1016/j.eneco.2021.105476.
  • [10] Zheng GW, Siddik AB, Masukujjaman M, Fatema N, Alam SS. Green finance development in Bangladesh: The role of Private Commercial Banks (PCBs). Sustainability. 2021;13(2). DOI: 10.3390/su13020795.
  • [11] Zhang ZY, Yu LY. Dynamic optimization and coordination of cooperative emission reduction in a dual-channel supply chain considering reference low-carbon effect and low-carbon goodwill. Int J Environ Res Public Health. 2021;18(2):1-33. DOI: 10.3390/ijerph18020539.
  • [12] Jiang LL, Wang H, Tong AH, Hu ZF, Duan HJ, Zhang XL. The measurement of green finance development index and its poverty reduction effect: Dynamic panel analysis based on improved entropy method. Discrete Dynamics Nature Soc. 2020;1-13. DOI: 10.1155/2020/8851684.
  • [13] Zhang Y, Wei W. Does blockchain technology promote the development of green finance? Evidence from China. 2019 International Conference on Management Science and Industrial Economy (MSIE 2019). 2020. DOI: 10.2991/msie-19.2020.41.
  • [14] Zhai Y, Nam KY, Malang L. ADB’s experience in clean energy finance. Financing Clean Energy Developing Asia. 2021;1:3. DOI: 10.1787/55d14a84-en.
  • [15] Chen S, Shi A, Wang X. Carbon emission curbing effects and influencing mechanisms of China’s Emission Trading Scheme: The mediating roles of technique effect, composition effect and allocation effect. J Cleaner Production. 2020;264:121700. DOI: 10.1016/j.jclepro.2020.121700.
  • [16] Yu BQ, Wang J, Lu XM, Yang HT. Collaboration in a low-carbon supply chain with reference emission and cost learning effects: Cost sharing versus revenue sharing strategies. J Cleaner Prod. 2019;250(C). DOI: 10.1016/j.jclepro.2019.119460.
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-6bf0d7cf-32db-46e6-b44e-ecc98f4f33dc
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