Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)

Research on the Effect of Green Fiscal and Tax Policies on Carbon Emissions - Evidence from Provincial Panel Data Models of China

Authors
Xingran Zhao1, Xiaowei Deng1, *, Yulong Wang1
1School of Physical and Mathematical Sciences, Nanjing Tech University, Nanjing, 211816, China
*Corresponding author. Email: zhaoxingranhawaii@outlook.com
Corresponding Author
Xiaowei Deng
Available Online 10 August 2023.
DOI
10.2991/978-94-6463-198-2_44How to use a DOI?
Keywords
Carbon emissions; green fiscal and tax policies; regional differences
Abstract

The issue of carbon emissions was a major problem faced by the whole world. In the process of moving along the path of low carbonization in various fields, fiscal and taxation policy was an important tool for the government to guide and support it. This paper used provincial panel data (excluding Tibet) from 2003 to 2020 to test the effects of variables such as the share of green fiscal expenditure and the share of green tax revenue on carbon emissions through fixed effects models, differential GMM models and systematic GMM models. The empirical tests found, green taxes could indeed curb total carbon emissions at this stage in China, but green finance was still on the left side of the environmental Kuznets inverted U-shaped curve, and it had no inhibitory effect on carbon emissions. The robustness test based on a narrowly defined share of green tax expenditures also confirmed this conclusion. Through further regional tests, it was found that the inhibiting effect of the green tax share on carbon emissions had a significant effect in the eastern, central, northeastern and western regions of China, but the degree of significant effect varied, the degree of influence from large to small was as follows: eastern region > northeast region > central region > western region.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
10 August 2023
ISBN
10.2991/978-94-6463-198-2_44
ISSN
2589-4900
DOI
10.2991/978-94-6463-198-2_44How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Xingran Zhao
AU  - Xiaowei Deng
AU  - Yulong Wang
PY  - 2023
DA  - 2023/08/10
TI  - Research on the Effect of Green Fiscal and Tax Policies on Carbon Emissions - Evidence from Provincial Panel Data Models of China
BT  - Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
PB  - Atlantis Press
SP  - 423
EP  - 437
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-198-2_44
DO  - 10.2991/978-94-6463-198-2_44
ID  - Zhao2023
ER  -