Proceedings of the International Conference on Promotion of Information Technology (ICPIT 2016)

Research on the Development of Science and Technology in Guangdong by Using Grey Incidence Evaluation Method

Authors
Feng Wei, Qiong Wu
Corresponding Author
Feng Wei
Available Online August 2016.
DOI
10.2991/icpit-16.2016.8How to use a DOI?
Keywords
input and output indexes, grey incidence evaluation, science and technology in Guangdong
Abstract

The development of science and technology in Jiangsu province has made great progress. In contrast, the development in Guangdong is slightly inferior. This article puts Guangdong and Jiangsu as comparative objects. After selecting data from 2002 to 2013, this paper analysis the grey incidence between the input indexes and the output indexes in these two provinces by using Grey Incidence Evaluation, and eventually finds obstacles for the development of science and technology in Guangdong.

Copyright
© 2016, 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 International Conference on Promotion of Information Technology (ICPIT 2016)
Series
Advances in Computer Science Research
Publication Date
August 2016
ISBN
10.2991/icpit-16.2016.8
ISSN
2352-538X
DOI
10.2991/icpit-16.2016.8How to use a DOI?
Copyright
© 2016, 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  - Feng Wei
AU  - Qiong Wu
PY  - 2016/08
DA  - 2016/08
TI  - Research on the Development of Science and Technology in Guangdong by Using Grey Incidence Evaluation Method
BT  - Proceedings of the International Conference on Promotion of Information Technology (ICPIT 2016)
PB  - Atlantis Press
SP  - 40
EP  - 46
SN  - 2352-538X
UR  - https://doi.org/10.2991/icpit-16.2016.8
DO  - 10.2991/icpit-16.2016.8
ID  - Wei2016/08
ER  -