Proceedings of the 2019 International Conference on Mathematics, Big Data Analysis and Simulation and Modelling (MBDASM 2019)

Factors That Influence Revenue Non-equalizing

Authors
Shanjun Liu, Juncheng Li
Corresponding Author
Shanjun Liu
Available Online October 2019.
DOI
10.2991/mbdasm-19.2019.10How to use a DOI?
Keywords
revenue non-equalizing; GiNi coefficient; global economic growth; population of labor; education; unemployment; stepwise multi-liner regression
Abstract

Income inequality is an inevitable phenomenon in each country. National government can use the macroeconomic policy. This paper is try to find a relationship between the factors of index systems of macroeconomics and income inequality. Based on the factors of macroeconomics in world bank data, we acquire cross-sectional data of all over the world countries of 75 percentage as far as 2015. By literature review we found out that speed of global economic increase, population of work force, education, growth rate of population and unemployment will influence revenue non-equalizing. Therefore, we are choosing above factors as independent variables establish a stepwise multi-linear regression model. In the economics Gini coefficient measured by people's income differences, thus we are choosing the Gini index as the dependent variable. The important findings of this research is that with population of work force and jobless rate increase revenue non-equalizing growth and growth. In addition, some research also discovered economy situation of these countries was main influence and revenue non-equalizing of developed economics experience are less.

Copyright
© 2019, 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 2019 International Conference on Mathematics, Big Data Analysis and Simulation and Modelling (MBDASM 2019)
Series
Advances in Computer Science Research
Publication Date
October 2019
ISBN
978-94-6252-811-6
ISSN
2352-538X
DOI
10.2991/mbdasm-19.2019.10How to use a DOI?
Copyright
© 2019, 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  - Shanjun Liu
AU  - Juncheng Li
PY  - 2019/10
DA  - 2019/10
TI  - Factors That Influence Revenue Non-equalizing
BT  - Proceedings of the 2019 International Conference on Mathematics, Big Data Analysis and Simulation and Modelling (MBDASM 2019)
PB  - Atlantis Press
SP  - 43
EP  - 46
SN  - 2352-538X
UR  - https://doi.org/10.2991/mbdasm-19.2019.10
DO  - 10.2991/mbdasm-19.2019.10
ID  - Liu2019/10
ER  -