The influence factor analysis of comprehensive energy consumption in manufacturing enterprises
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Pages (from-to) | 752-758 |
Journal / Publication | Procedia Computer Science |
Volume | 17 |
Online published | 16 May 2013 |
Publication status | Published - 2013 |
Conference
Title | 1st International Conference on Information Technology and Quantitative Management, ITQM 2013 |
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Place | China |
City | Suzhou |
Period | 16 - 18 May 2013 |
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DOI | DOI |
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Attachment(s) | Documents
Publisher's Copyright Statement
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Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-84898743925&origin=recordpage |
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(e127b783-0c34-4e0f-ba4c-3837d78b8432).html |
Abstract
This paper conducts the influence factor analysis of comprehensive energy consumption based on a Chinese manufacturing enterprise. By multiple regression analysis, the sum of energy consumption is positive correlation relationship with enterprise scale, and it is negative correlation with enterprise efficiency. Thus, comprehensive energy consumption is main dependent on aggregate output and enterprise performance accordingly. Under a constant aggregate output, enhance energy management and establish the energy management standards are the best approach to promote energy efficiency on manufacturing enterprises. Finally, the limitation and the future direction of this study are discussed. © 2013 The Authors. Published by Elsevier B.V.
Research Area(s)
- Aggregate output, Comprehensive energy consumption, Enterprise performance, Influence factor tree, Multiple regression analysis
Citation Format(s)
The influence factor analysis of comprehensive energy consumption in manufacturing enterprises. / Tso, Geoffrey K. F.; Liu, Fangtao; Liu, Ke.
In: Procedia Computer Science, Vol. 17, 2013, p. 752-758.
In: Procedia Computer Science, Vol. 17, 2013, p. 752-758.
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
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