The economic efficiency of energy-consuming equipment: a DEA approach

Energy Efficiency

Volumn 8, Issue 2, 2015, Pages 281-298

  Blum, Helcio ^a  

^a LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

Author keywords

Comparative assessment; Data envelopment analysis; DEA; Economic efficiency; Energy efficient equipment

Indexed keywords

COST BENEFIT ANALYSIS; COST EFFECTIVENESS; DATA ENVELOPMENT ANALYSIS; DECISION MAKING;

BENEFIT COST RATIOS; COMPARATIVE ASSESSMENT; ECONOMIC EFFICIENCY; EFFECTIVENESS INDICATORS; ENERGY CONSUMING DEVICES; ENERGY EFFICIENCY POLICIES; ENERGY EFFICIENT EQUIPMENT; NONPARAMETRIC APPROACHES;

ENERGY EFFICIENCY;

CAPITAL; COMPARATIVE STUDY; CONSUMPTION BEHAVIOR; COST-BENEFIT ANALYSIS; DATA ENVELOPMENT ANALYSIS; DECISION MAKING; ECONOMIC RELATIONS; ELECTRONIC EQUIPMENT; ENERGY EFFICIENCY;

EID: 85027917383     PISSN: 1570646X     EISSN: 15706478     Source Type: Journal    
DOI: 10.1007/s12053-014-9283-5     Document Type: Article

References (49)

1. Baker, R. C., & Talluri, S. (1997). A closer look at the use of data envelopment analysis for technology selection. Computers & Industrial Engineering, 32(1), 101–108.
2. Baxter, L. W., et al. (1986). An efficiency analysis of household energy use. Energy Economics, 8(2), 62–73.
3. Bisschop, J. (2012). AIMMS—optimization modeling. Bellevue: Paragon Decision Technology B.V.
4. Blum, H., Atkinson, B., & Lekov, A. B. (2013). A methodological framework for comparative assessments of equipment energy policy measures. Energy Efficiency, 6(1), 65–90.
5. Boyd, G. A., & Pang, J. X. (2000). Estimating the linkage between energy efficiency and productivity. Energy Policy, 28(5), 289–296.
6. Boyd, G., et al. (1993). Energy intensity improvements in steel minimills. Contemporary Policy Issues, 11(3), 88–100.
7. Charnes, A., & Cooper, W. W. (1962). Programming with linear fractional functionals. Naval Research Logistics Quarterly, 9(3–4), 181–186.
8. Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision-making units. European Journal of Operational Research, 2(6), 429–444.
9. Charnes, A., et al. (1985). Foundation of data envelopment analysis for Pareto-Koopmans efficient empirical production functions. Journal of Econometrics, 30(1–2), 91–107.
10. Chauhan, N. S., Mohapatra, P. K. J., & Pandey, K. P. (2006). Improving energy productivity in paddy production through benchmarking—an application of data envelopment analysis. Energy Conversion and Management, 47(9–10), 1063–1085.
11. Chen, T. Y., & Yu, O. S. (1997). Performance evaluation of selected US utility commercial lighting demand-side management programs. Energy Engineering: Journal of the Association of Energy Engineering, 94(4), 50–66.
12. Coelli, T. J., Prasada Rao D. S., O'Donnell C. J., et al. (2005). An introduction to efficiency and productivity analysis. New York: Springer Science + Business Media.
13. Cook, W. D., & Zhu, J. (2005). Modeling performance measurement: applications and implementation issues in DEA. New York, NY, USA: Springer Science + Business Media.
14. Cooper, W.W., Seiford, L.M., Zhu, J. (2011a). Data envelopment analysis: history, models, and interpretations. In W.W. Cooper, L.M. Seiford, J. Zhu (Eds.), Handbook on data envelopment analysis (International series in operations research & management science, Vol. 164). New York: Springer.
15. Cooper, W. W., Seiford, L. M., & Zhu, J. (2011b). Handbook on data envelopment analysis (International series in operations research & management science, Vol. 164). New York: Springer.
16. DOE (2014). Electricity supply, disposition, prices, and emissions. In Annual energy outlook, interactive table viewer. U.S. Energy Information Administration, U.S. Department of Energy, Washington, DC, USA. http://www.eia.gov/oiaf/aeo/tablebrowser/#release=AEO2014&subject=3-AEO2014&table=8-AEO2014®ion=0-0&cases=ref2014-d102413a.
17. Doyle, J. R., & Green, R. H. (1991). Comparing products using data envelopment analysis. Omega International Journal of Management Science, 19(6), 631–638.
18. Doyle, J. R., & Green, R. H. (1994). Strategic choice and data envelopment analysis: comparing computers across many attributes. Journal of Information Technology, 9(1), 61–69.
19. ndintersociety energy conversion engineering congress vol 3: 2143–2147. Honolulu, HI, USA.
20. Emrouznejad, A., Parker, B. R., & Tavares, G. (2008). Evaluation of research in efficiency and productivity: a survey and analysis of the first 30 years of scholarly literature in DEA. Journal of Socio-Economic Planning Sciences, 42(3), 151–157.
21. EPA (2008). Understanding cost-effectiveness of energy efficiency programs: best practices, technical methods, and emerging issues for policy-makers. National Action Plan for Energy Efficiency. Energy and Environmental Economics, Inc. and Regulatory Assistance Project.
22. Färe, R., & Primont, D. (1995). Multi-output production and duality: theory and applications. Norwell: Kluwer Academic Publishers.
23. Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society, 120(III), 253–281.
24. Fernandez-Castro, A. S., & Smith, P. C. (2002). Lancaster’s characteristics approach revisited: product selection using non-parametric methods. Managerial and Decision Economics, 23(2), 83–91.
25. Gattoufi, S., et al. (2004a). Epistemology of data envelopment analysis and comparison with other fields of OR/MS for relevance to applications. Journal of Socio-Economic Planning Sciences, 38(2–3), 123–140.
26. Gattoufi, S., Oral, M., & Reisman, A. (2004b). Data envelopment analysis literature: a bibliography update (1951–2001). Journal of Socio-Economic Planning Sciences, 38(2–3), 159–229.
27. Golany, B., & Roll, Y. (1994). Incorporating standards via DEA. In A. Charnes, W. W. Cooper, A. Y. Lewin, & L. M. Seiford (Eds.), Data envelopment analysis: theory, methodology, and application. New York: Springer.
28. Golany, B., & Tamir, E. (1995). Evaluating efficiency-effectiveness-equality trade-offs: a data envelopment analysis approach. Management Science, 41(7), 1172–1184.
29. Golany, B., & Yu, G. (1997). Estimating returns to scale in DEA. European Journal of Operational Research, 103(1), 28–37.
30. Hu, J. L., & Kao, C. H. (2007). Efficient energy-saving targets for APEC economies. Energy Policy, 35(1), 373–382.
31. Hu, J. L., & Wang, S. C. (2006). Total-factor energy efficiency of regions in China. Energy Policy, 34(17), 3206–3217.
32. Khouja, M. (1995). The use of data envelopment analysis for technology selection. Computers & Industrial Engineering, 28(1), 123–132.
33. Kortelainen, M., & Kuosmanen, T. (2007). Eco-efficiency analysis of consumer durables using absolute shadow prices. Journal of Productivity Analysis, 28(1–2), 57–69.
34. Kuosmanen, T., & Kortelainen, M. (2007). Valuing environmental factors in cost-benefit analysis using data envelopment analysis. Ecological Economics, 62(1), 56–65.
35. Lee, W.-S. (2008). Benchmarking the energy efficiency of government buildings with data envelopment analysis. Energy and Buildings, 40(5), 891–895.
36. Lee, W. L., Yik, F. W. H., & Jones, P. (2003). A strategy for prioritising interactive measures for enhancing energy efficiency of air-conditioned buildings. Energy, 28(8), 877–893.
37. Lins, M. P. E., Angulo-Meza, L., & Silva, A. C. M. (2004). A multi-objective approach to determine alternative targets in data envelopment analysis. The Journal of the Operational Research Society, 55(10), 1090–1101.
38. Mahlia, T. M. I., Masjuki, H. H., & Choudhury, I. A. (2002). Theory of energy efficiency standards and labels. Energy Conversion and Management, 43(6), 743–761.
39. McNeil, M. A., & Bojda, N. (2012). Cost-effectiveness of high-efficiency appliances in the U.S. residential sector: a case study. Energy Policy, 45, 33–42.
40. Nikolaidis, Y., Pilavachi, P. A., & Chletsis, A. (2009). Economic evaluation of energy saving measures in a common type of Greek building. Applied Energy, 86(12), 2550–2559.
41. Odeck, J., & Hjalmarsson, L. (1996). The performance of trucks—an evaluation using data envelopment analysis. Transportation Planning and Technology, 20(1), 49–66.
42. Onut, S., & Soner, S. (2006). Energy efficiency assessment for the Antalya Region hotels in Turkey. Energy and Buildings, 38(8), 964–971.
43. Sengupta, J. K. (2003). New efficiency theory—with applications of data envelopment analysis. Berlin, Germany: Springer.
44. Short, W., Packey, D. J., & Holt, T. (1995). A manual for the economic evaluation of energy efficiency and renewable energy technologies (Report NREL/TP-462-5173). Golden: National Renewable Energy Laboratory.
45. Staat, M. R., Bauer, H. H., & Hammerschmidt, M. (2002). Structuring product markets: an approach based on customer value. Marketing Educators’ Conference Proceedings, 13(1), 205–212.
46. Womer, N. K., et al. (2006). Benefit-cost analysis using data envelopment analysis. Annals of Operations Research, 145(1), 229–250.
47. Wroblewski, R.G., et al. (1997). An analysis of motor system optimization options—a question of diminishing return on investment. Proceedings from the Nineteenth Industrial Energy Technology Conference ESL-IE-97-04-17: 2143-2147. Houston, TX, USA.
48. Zhou, P., & Ang, B. W. (2008). Linear programming models for measuring economy-wide energy efficiency performance. Energy Policy, 36(8), 2911–2916.
49. Zhou, P., Ang, B. W., & Poh, K. L. (2008). A survey of data envelopment analysis in energy and environmental studies. European Journal of Operational Research, 189(1), 1–18.