Proceedings of the 2016 6th International Conference on Management, Education, Information and Control (MEICI 2016)

Research on the Relationship between Electricity Consumption and Economic Growth

Authors
Yantao Wang, Xiaomei Liu, Suiliang Liu
Corresponding Author
Yantao Wang
Available Online September 2016.
DOI
10.2991/meici-16.2016.100How to use a DOI?
Keywords
Electricity consumption; Economic growth; Electricity elasticity coefficient; Electricity demand
Abstract

Based on the research of many scholars on the relationship between electricity and economy , from the industrial structure, the electricity elasticity coefficient and electricity consumption of three different perspectives on this to make a review, from two aspects of the national and regional expansion respectively, and the research on the relationship between electricity and economy make the forecast, in order to study the relationship between electricity consumption and economic growth to make a reference.

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/).

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Volume Title
Proceedings of the 2016 6th International Conference on Management, Education, Information and Control (MEICI 2016)
Series
Advances in Intelligent Systems Research
Publication Date
September 2016
ISBN
10.2991/meici-16.2016.100
ISSN
1951-6851
DOI
10.2991/meici-16.2016.100How 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  - Yantao Wang
AU  - Xiaomei Liu
AU  - Suiliang Liu
PY  - 2016/09
DA  - 2016/09
TI  - Research on the Relationship between Electricity Consumption and Economic Growth
BT  - Proceedings of the 2016 6th International Conference on Management, Education, Information and Control (MEICI 2016)
PB  - Atlantis Press
SP  - 482
EP  - 486
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-16.2016.100
DO  - 10.2991/meici-16.2016.100
ID  - Wang2016/09
ER  -