Proceedings of the 2018 3rd International Conference on Humanities Science, Management and Education Technology (HSMET 2018)

Study on Economy Growth and Employment of R&D Based on Empirical

Authors
Shaoli He, Jun Wang
Corresponding Author
Shaoli He
Available Online June 2018.
DOI
https://doi.org/10.2991/hsmet-18.2018.152How to use a DOI?
Keywords
R&D; VAR; Employment
Abstract

With slow growth and quality priority as the main characters of “New Normal” in economy, R&D is one of the main methods for improving quality and efficiency of economy and industrial transformation and upgrading. VAR model was constructed to analyze the impacts of R&D to economy growth and employment based on data of R&D, GDP and employment among 1996 and 2015. It shows that R&D brings obviously promotion to economy growth and significantly related to employment. However, Continuous reinforcement of R&D input is required because of high attenuation of impacts, and well education system and enough reserve of talents are needed because of employment fluctuation due to R&D, according to impulse analysis.

Copyright
© 2018, 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 2018 3rd International Conference on Humanities Science, Management and Education Technology (HSMET 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
June 2018
ISBN
978-94-6252-537-5
ISSN
2352-5398
DOI
https://doi.org/10.2991/hsmet-18.2018.152How to use a DOI?
Copyright
© 2018, 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  - Shaoli He
AU  - Jun Wang
PY  - 2018/06
DA  - 2018/06
TI  - Study on Economy Growth and Employment of R&D Based on Empirical
BT  - Proceedings of the 2018 3rd International Conference on Humanities Science, Management and Education Technology (HSMET 2018)
PB  - Atlantis Press
SP  - 767
EP  - 770
SN  - 2352-5398
UR  - https://doi.org/10.2991/hsmet-18.2018.152
DO  - https://doi.org/10.2991/hsmet-18.2018.152
ID  - He2018/06
ER  -