Measuring energy economic efficiency: A mathematical programming approach
Hua Liao (),
Yun-Fei Du,
Zhimin Huang and
Yi-Ming Wei
Applied Energy, 2016, vol. 179, issue C, 479-487
Abstract:
The widely used measurement for energy efficiency are in form of physical quantity, thus neglecting the economic cost and the imperfect substitution among energy and other production factors such as capital and labor. In the real world, least energy input does not always leads to optimal factor combinations in production processes. The goal of producers is to minimize the total factor cost or maximize the profit instead of minimizing the physical input. The optimum factor combination is constrained not only by the available technology but also by the relative prices of factors. Based on the production theory and mathematical programming, the “energy economic efficiency (ee)” is constructed to calculate energy efficiency which connects energy productivity and economic efficiency (Ee). In this paper, we have a further discussion on the properties of the energy economic efficiency diagrammatically and mathematically and measure the efficiency in electricity generation sector of 23 International Energy Agency (IEA) countries. Compared with traditional energy efficiency indicators (in physical form), we develop a more proper way of evaluating energy efficiency with better performance.
Keywords: Energy economic efficiency; Electricity generation sector; Mathematical programming (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S030626191630890X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:179:y:2016:i:c:p:479-487
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic
DOI: 10.1016/j.apenergy.2016.06.115
Access Statistics for this article
Applied Energy is currently edited by J. Yan
More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().