Proceedings of the 2013 The International Conference on Artificial Intelligence and Software Engineering (ICAISE 2013)

The Number of Economic Relations Analysis of Regional per Capita GDP and Quality Level in China

Authors
Wuyi Zhang, Yunfei Yang
Corresponding Author
Wuyi Zhang
Available Online August 2013.
DOI
10.2991/icaise.2013.21How to use a DOI?
Keywords
six sigma management theory, per capita GDP, quality level, regression analysis
Abstract

This paper regarded the quality management level of regional pillar industries as the average level of regional quality, and selected the quality level of representative seven provinces of China as samples. By drawing scatter diagram and doing the fitting analysis, we ultimately find out the relation of regional per capita GDP and quality level in China: the per capita GDP will increase by 72,870 yuan as soon as the quality level increases by 1 sigma; the improvement of quality level will prompt the diversification of per capita GDP.

Copyright
© 2013, 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 2013 The International Conference on Artificial Intelligence and Software Engineering (ICAISE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
10.2991/icaise.2013.21
ISSN
1951-6851
DOI
10.2991/icaise.2013.21How to use a DOI?
Copyright
© 2013, 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  - Wuyi Zhang
AU  - Yunfei Yang
PY  - 2013/08
DA  - 2013/08
TI  - The Number of Economic Relations Analysis of Regional per Capita GDP and Quality Level in China
BT  - Proceedings of the 2013 The International Conference on Artificial Intelligence and Software Engineering (ICAISE 2013)
PB  - Atlantis Press
SP  - 95
EP  - 100
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaise.2013.21
DO  - 10.2991/icaise.2013.21
ID  - Zhang2013/08
ER  -