An Analysis of the Effect of Population Structure on Fiscal Revenue and Expenditure

DOI

10.2991/aebmr.k.220307.219How to use a DOI?

Keywords

population structure; the dependency ratio; fiscal revenue and expenditure; linear regression; heterogeneity analysis

Abstract

Finance is the foundation and important pillar of national governance. This paper uses a linear regression model to conduct research based on the total dependency ratio and fiscal revenue and expenditure data in China’s inter-provincial panel data from 2002 to 2019, explore the impact of changes in the dependency ratio on China’s fiscal revenue and expenditure, and further adopt a heterogeneous analysis method, through the dependency ratio and regional heterogeneity analysis perspective to carry out group regression. In this paper, the results of this study are as follows: (1) the total dependency ratio has an inverse relationship with China’s fiscal revenue and expenditure. (2) There is a positive relationship between the dependency ratio of the elderly population and the fiscal revenue and expenditure of China, while the dependency ratio of children and adolescents has a reverse relationship with the fiscal revenue and expenditure of China. (3) There is also a reverse relationship between the total dependency ratio of the eastern and western regions of China, while the change of the total dependency ratio of the central and northeastern regions has no significant impact on the fiscal revenue and expenditure.

Copyright

© 2022 The Authors. Published by Atlantis Press International B.V.

Open Access

This is an open access article under the CC BY-NC license.

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TY  - CONF
AU  - Xiao Wu
PY  - 2022
DA  - 2022/03/26
TI  - An Analysis of the Effect of Population Structure on Fiscal Revenue and Expenditure
BT  - Proceedings of the 2022 7th International Conference on Financial Innovation and Economic Development (ICFIED 2022)
PB  - Atlantis Press
SP  - 1332
EP  - 1338
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.220307.219
DO  - 10.2991/aebmr.k.220307.219
ID  - Wu2022
ER  -