An Empirical Analysis of the Relationship Between Innovation Input, Industrial Structure and Economic Growth

DOI

10.2991/ssmi-18.2019.71How to use a DOI?

Keywords

Innovation Input; Industrial Structure; Economic Growth; LA-VAR Model.

Abstract

Economic growth is a dynamic category which reflects the changing direction and degree of the scale of social and economic activities. It is closely related to the innovation investment and industrial structure in a country. Based on the improved Cobb-Douglas production function, this author uses econometric model to analyze the relationship between innovation input, industrial structure and economic growth, and conducts an empirical analysis of the panel data for 31 provinces, autonomous regions, and municipalities in China from 2007 to 2016. The empirical results show that there is a two-way Granger causality between innovation investment, industrial structure and economic growth, there is a one-way Granger causality between innovation input and industrial structure, and innovation input is the Granger cause of industrial structure.

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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TY  - CONF
AU  - Yan Zhang
PY  - 2019/02
DA  - 2019/02
TI  - An Empirical Analysis of the Relationship Between Innovation Input, Industrial Structure and Economic Growth
BT  - Proceedings of the 2018 International Symposium on Social Science and Management Innovation (SSMI 2018)
PB  - Atlantis Press
SP  - 428
EP  - 435
SN  - 2352-5428
UR  - https://doi.org/10.2991/ssmi-18.2019.71
DO  - 10.2991/ssmi-18.2019.71
ID  - Zhang2019/02
ER  -