Proceedings of the 2016 2nd International Conference on Economics, Management Engineering and Education Technology (ICEMEET 2016)

Research on the Influence Factors of Chinese Local Government Debt Scale

Authors
Kun Li
Corresponding Author
Kun Li
Available Online January 2017.
DOI
10.2991/icemeet-16.2017.107How to use a DOI?
Keywords
Government debt scale; GDP; Influence factor
Abstract

Recent years, the problems of local government debt have been widely discussed by many researchers, moderate scale of local government debt is very essential to economic growth. Based on the analysis of local government debt scale research, this paper analyzes the influence factors of Chinese local government debt scale through regression model which shows debt scale is positively correlated with gross domestic product and local urban population proportion, negatively related with the government fiscal surplus.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 2nd International Conference on Economics, Management Engineering and Education Technology (ICEMEET 2016)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
January 2017
ISBN
978-94-6252-288-6
ISSN
2352-5398
DOI
10.2991/icemeet-16.2017.107How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Kun Li
PY  - 2017/01
DA  - 2017/01
TI  - Research on the Influence Factors of Chinese Local Government Debt Scale
BT  - Proceedings of the 2016 2nd International Conference on Economics, Management Engineering and Education Technology (ICEMEET 2016)
PB  - Atlantis Press
SP  - 507
EP  - 511
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemeet-16.2017.107
DO  - 10.2991/icemeet-16.2017.107
ID  - Li2017/01
ER  -