Study on the Relationship between the Economic Growth and Industrial Structure Changes

DOI

10.2991/iceemr-17.2017.99How to use a DOI?

Keywords

economic growth, industrial structure change, comprehensive test, gray correlation analysis, regression estimation

Abstract

This paper focus on the general least squares method to explore the research topic, combining the time series analysis method to carry on the comprehensive examination to the original variable data; we construct a gray correlational degree model to estimate the relationship between subjects. There is a cointegration relationship between the economic growth and industrial structure, the second industry has the greatest impact on the economic growth; the influence of the tertiary industry gradually increased. Using the quantitative analysis, we show that there is a positive correlation between the added value of three industries and the economic growth. The second industry has the highest contribution to economic growth, followed by the tertiary industry, and finally the first industry. The innovation of the paper lies in the use of time series and gray relational analysis.

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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TY  - CONF
AU  - Ya-nan Shen
AU  - Fang-fang Zhang
PY  - 2017/05
DA  - 2017/05
TI  - Study on the Relationship between the Economic Growth and Industrial Structure Changes
BT  - Proceedings of the 2017 International Conference on Education, Economics and Management Research (ICEEMR 2017)
PB  - Atlantis Press
SP  - 394
EP  - 399
SN  - 2352-5398
UR  - https://doi.org/10.2991/iceemr-17.2017.99
DO  - 10.2991/iceemr-17.2017.99
ID  - Shen2017/05
ER  -