Proceedings of the 2016 International Conference on Modern Management, Education Technology, and Social Science (MMETSS 2016)

Big Data and the Development of Regional Economy

Authors
Aoyun Chen
Corresponding Author
Aoyun Chen
Available Online February 2017.
DOI
10.2991/mmetss-16.2017.32How to use a DOI?
Keywords
big data; industrial structure optimization; regional economy
Abstract

Big data has promoted the integration of Internet and industrial innovation, and further promotes traditional industrial upgrading and the emergence of emerging industry, has resulting in a huge social and economic impact. This paper demonstrate the mechanism of industrial structure optimization promoted by big data based on big data's industry and economic characteristics to verify the effectiveness of big data to enhance the regional economy. And give suggestions to promoting the big data industry in China by four aspects: Promoting the universal service of big data, accelerating the development of big data industry for science and technology innovation, enhancing information security system, promoting resources sharing of big data.

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/).

Download article (PDF)

Volume Title
Proceedings of the 2016 International Conference on Modern Management, Education Technology, and Social Science (MMETSS 2016)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
February 2017
ISBN
978-94-6252-296-1
ISSN
2352-5398
DOI
10.2991/mmetss-16.2017.32How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Aoyun Chen
PY  - 2017/02
DA  - 2017/02
TI  - Big Data and the Development of Regional Economy
BT  - Proceedings of the 2016 International Conference on Modern Management, Education Technology, and Social Science (MMETSS 2016)
PB  - Atlantis Press
SN  - 2352-5398
UR  - https://doi.org/10.2991/mmetss-16.2017.32
DO  - 10.2991/mmetss-16.2017.32
ID  - Chen2017/02
ER  -