STATA Empirical Analysis of Fiscal Revenue Influencing Factors in Heilongjiang Province

DOI

10.2991/aebmr.k.220405.302How to use a DOI?

Keywords

Fiscal revenue; Model analysis; Inspection and correction

Abstract

Fiscal revenue is the monetary revenue obtained by government departments to meet public needs in a certain period of time, which is an important guarantee of national financial resources. However, the growth of fiscal revenue is not controlled by the government, but influenced by economic growth, price level, production technology level and many other factors. In terms of regions, Heilongjiang province is located in the northernmost part of China and is remote. Its economic growth rate is relatively slow compared with other regions, and its fiscal income level is low compared with other regions. In order to improve the fiscal income level of Heilongjiang Province, it is particularly important to study the influencing factors of fiscal income. According to the fiscal revenue of Heilongjiang province from 1999 to 2020, this paper selects 7 factors such as domestic VALUE-ADDED tax as explanatory variables to construct the model, and uses Stata software to conduct ADF test and co-integration test on the model, and carries out statistical analysis. It is found that GDP has the most significant impact on fiscal revenue, and other explanatory variables also have different correlations. Finally, based on the economic analysis of the model, corresponding suggestions are put forward for how to increase the fiscal revenue of Heilongjiang Province.

Copyright

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

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license.

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TY  - CONF
AU  - Ma Xinjing
PY  - 2022
DA  - 2022/04/29
TI  - STATA Empirical Analysis of Fiscal Revenue Influencing Factors in Heilongjiang Province
BT  - Proceedings of the 2022 7th International Conference on Social Sciences and Economic Development (ICSSED 2022)
PB  - Atlantis Press
SP  - 1805
EP  - 1808
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.220405.302
DO  - 10.2991/aebmr.k.220405.302
ID  - Xinjing2022
ER  -