Proceedings of the 2018 2nd International Conference on Management, Education and Social Science (ICMESS 2018)

Analysis of Affecting Factors of Proportion of Tertiary Industry Based on Ridge Regression

Authors
Bin Zhang, Shoucheng Yuan
Corresponding Author
Bin Zhang
Available Online June 2018.
DOI
https://doi.org/10.2991/icmess-18.2018.66How to use a DOI?
Keywords
Tertiary industry; Ridge regression; Affecting factors
Abstract
Optimization of Industrial structure has played a significant role in the process of national economy’s sustainable and stable growth. With six affecting factors including proportion of labor productivity, proportion of employed people, proportion of fixed-asset investment, proportion of the actual utilization of foreign capital, the proportion of total energy consumption, and proportion of resident population of Beijing from 2000 to 2015, this paper first uses the method of multiple linear regression model to study these variables’ influence on proportion of tertiary industry, and finds that the model itself has multi-collinearity. Then, the method of Ridge Regression and variable selection model are utilized to quantify these variables’ influence over proportion of tertiary industry. The study shows that these six factors had significantly affected the development of tertiary industry. The most influential one among of them is energy, then is population and investment. By using the method of ridge regression model to quantitatively analyse these factors, this paper proposes related advice about the development of the tertiary industry and deepening of industrial structure from three perspectives of energy, population and investment.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2018 2nd International Conference on Management, Education and Social Science (ICMESS 2018)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
June 2018
ISBN
978-94-6252-520-7
ISSN
2352-5398
DOI
https://doi.org/10.2991/icmess-18.2018.66How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Bin Zhang
AU  - Shoucheng Yuan
PY  - 2018/06
DA  - 2018/06
TI  - Analysis of Affecting Factors of Proportion of Tertiary Industry Based on Ridge Regression
BT  - 2018 2nd International Conference on Management, Education and Social Science (ICMESS 2018)
PB  - Atlantis Press
SP  - 293
EP  - 296
SN  - 2352-5398
UR  - https://doi.org/10.2991/icmess-18.2018.66
DO  - https://doi.org/10.2991/icmess-18.2018.66
ID  - Zhang2018/06
ER  -