Output-specific energy efficiency assessment: A data envelopment analysis approach
Creators
- 1. College of Economics and Management & Research Centre for Soft Energy Science, Nanjing University of Aeronautics and Astronautics, 29 Jiangjun Avenue, Nanjing 210016 (China)
- 2. Aalto University School of Business, Runeberginkatu 22-24, 00100 Helsinki (Finland)
Description
Highlights: • Alternative output-specific energy efficiency measures are developed. • Joint inputs and sub-joints inputs are taken into DEA models. • Outputs are characterized in their own production technologies. • The proposed method provides an alternative way of dealing with undesirable output. • The novel method is more capable of identifying inefficient production behavior. - Abstract: Past decade has seen numerous data envelopment analysis (DEA)-based energy efficiency studies, which usually treat the production process as a "black box" and ignore the internal production information. This paper takes into account the joint inputs and sub-joint inputs to reveal the specific information on how inputs are allocated to outputs. To this end, we first propose an extended output-specific production technology based on which two novel energy efficiency measures are developed. We also present an empirical study on 32 countries to demonstrate the novelty and the usefulness of our method. We find that our output-specific energy efficiency measures provide a more straightforward way of dealing with undesirable output and are better capable of identifying inefficient production behavior.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.apenergy.2016.05.099Additional details
Identifiers
- DOI
- 10.1016/j.apenergy.2016.05.099;
- PII
- S0306-2619(16)30696-1;
Publishing Information
- Journal Title
- Applied Energy
- Journal Volume
- 177
- Journal Page Range
- p. 117-126
- ISSN
- 0306-2619
- CODEN
- APENDX
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 48001616
- Subject category
- S29: ENERGY PLANNING, POLICY AND ECONOMY;
- Descriptors DEI
- DATA ANALYSIS; ENERGY EFFICIENCY; ENERGY MODELS; NUMERICAL ANALYSIS
- Descriptors DEC
- DATA PROCESSING; EFFICIENCY; MATHEMATICS; PROCESSING
Optional Information
- Copyright
- Copyright (c) 2016 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.