Literature DB >> 35554835

Can green finance improve carbon emission efficiency?

Wei Zhang1, Zhangrong Zhu2,3, Xuemeng Liu1, Jing Cheng1.   

Abstract

This article discusses the influence and mechanism of green finance on carbon emission efficiency. Based on the panel data of 27 provinces and municipality in China from 2008 to 2017, the slack-based model of unexpected output is used to measure the efficiency of carbon emissions. On this basis, the Tobit model is used to empirically study the impact and mechanism of green finance on the efficiency of carbon emissions. The consequences exhibit that (1) China's carbon emission efficiency is not high and generally presents a gradient decreasing characteristic of east, middle, and west. (2) Overall, green finance plays a considerable role in improving carbon emission efficiency; by region and group, there are significant differences in the influence of green finance on carbon emission efficiency. (3) The study found that green finance promotes the efficiency of carbon emission through technological progress and industrial structure upgrading. This study provides empirical evidence and policy enlightenment for the realization of carbon peaking and carbon neutrality goals and the evolution of green finance.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Carbon emission efficiency; Green finance; SBM model; Technical progress; Tobit regression analysis model; Upgrading of industrial structure

Mesh:

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Year:  2022        PMID: 35554835     DOI: 10.1007/s11356-022-20670-8

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   5.190


  1 in total

1.  Green Finance Evaluation Based on Neural Network Model.

Authors:  Ke Wang
Journal:  Comput Intell Neurosci       Date:  2022-08-17
  1 in total

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