Issue |
E3S Web Conf.
Volume 235, 2021
2020 International Conference on New Energy Technology and Industrial Development (NETID 2020)
|
|
---|---|---|
Article Number | 01014 | |
Number of page(s) | 10 | |
Section | Research on New Energy Technology and Energy Consumption Development | |
DOI | https://doi.org/10.1051/e3sconf/202123501014 | |
Published online | 03 February 2021 |
Has Local Government Debt Promoted Economic Growth in developing countries? New evidence from a survey in China
1
School of Finance, Chongqing Technology and Business University, Chongqing, 400067, China.
2
School of Economics, Sichuan University, Chengdu city, Sichuan, 610065, China.
3
Chongqing Foreign Language School, Chongqing, 400039, China.
* Corresponding author’s e-mail: zp3gu@vip.163.com
Based on the panel smooth transition regression (PSTR) model, this paper empirically analyzes the relationship between Chinese local government’s bond financing and economic growth, with the quarterly panel data of bonds issued by local governments and their investment and financing platform companies in the open market from 2008 to 2018 as samples. The research shows that there is a gradual non-linear relationship between local government bond market financing and economic growth in China. With the increase of the scale of local government bond market financing in China, the effect of bond market financing on economic growth will gradually decline and have a negative effect. This result means that for developing countries like China, it is not advisable to rely solely on government investment to drive economic growth.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.