Measuring economy-wide energy efficiency performance: A parametric frontier approach

Applied Energy

Volumn 90, Issue 1, 2012, Pages 196-200

  Zhou, P ^a   Ang, B W ^b   Zhou, D Q ^a  

^a NANJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS   (China)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Data envelopment analysis; Distance function; Energy efficiency; Stochastic frontier analysis

Indexed keywords

STOCHASTIC SYSTEMS;

DISCRIMINATING POWER; DISTANCE FUNCTIONS; NONPARAMETRIC FRONTIER; OECD COUNTRIES; PERFORMANCE MEASUREMENTS; PRODUCTION EFFICIENCY; STOCHASTIC FRONTIER ANALYSIS;

ENERGY EFFICIENCY;

ENERGY EFFICIENCY; FRONTIER REGION; PERFORMANCE ASSESSMENT; SAMPLING; STOCHASTICITY;

EID: 80055045980     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2011.02.025     Document Type: Article

References (28)

1. Ang B.W. Monitoring changes in economy-wide energy efficiency: from energy-GDP ratio to composite efficiency index. Energy Policy 2006, 34:574-582.
2. Ang B.W., Mu A.R., Zhou P. Accounting frameworks for tracking energy efficiency trends. Energy Econom 2010, 32:1209-1219.
3. OEE. Energy efficiency trends in Canada 1990 to 2005. Ottawa: Natural Resources Canada; 2009.
4. EECA. First year report: energy efficiency and renewable energy performance in New Zealand. Wellington: Energy Efficiency and Conservation Authority; 2003.
5. EERE. Indicators of energy intensity in the United States. Office of Energy Efficiency and Renewable Energy, US Department of Energy; 2009.
6. Zhou P., Ang B.W., Poh K.L. A survey of data envelopment analysis in energy and environmental studies. Eur J Oper Res 2008, 189:1-18.
7. Hu J.L., Wang S.C. Total-factor energy efficiency of regions in China. Energy Policy 2006, 34:3206-3217.
8. Wei Y.M., Liao H., Fan Y. An empirical analysis of energy efficiency in China's iron and steel sector. Energy 2007, 32:2262-2270.
9. Zhou P., Ang B.W. Linear programming models for measuring economy-wide energy efficiency performance. Energy Policy 2008, 36:2901-2906.
10. Mukherjee Measuring energy efficiency in the context of an emerging economy: the case of Indian manufacturing. Eur J Oper Res 2010, 201:933-941.
11. Chang T.P., Hu J.L. Total-factor energy productivity growth, technical progress, and efficiency change: an empirical study of China. Appl Energy 2010, 87:3262-3270.
12. Chung W., Hui Y.V., Lam Y.M. Benchmarking the energy efficiency of commercial buildings. Appl Energy 2006, 83:1-14.
13. Feijoo M.L., Franco J.F., Hernandez J.M. Global warming and the energy efficiency of Spanish industry. Energy Econom 2002, 24:405-423.
14. Buck J., Young D. The potential for energy efficiency gains in the Canadian commercial building sector: a stochastic frontier study. Energy 2007, 32:1769-1780.
15. Boyd G.A. Estimating plant level energy efficiency with a stochastic frontier. Energy J 2008, 29(2):23-43.
16. Boyd G., Dutrow E., Tunnessen W. The evolution of the ENERGY STAR® energy performance indicator for benchmarking industrial plant manufacturing energy use. J Cleaner Prod 2008, 16:709-715.
17. Ozturk I. A literature survey on energy-growth nexus. Energy Policy 2010, 38:340-349.
18. Payne J.E. A survey of the electricity consumption-growth literature. Appl Energy 2010, 87:723-731.
19. Fare R, Grosskopf S, Levell CAK. Production frontiers. Cambridge University Press; 1994.
20. Nassiri S.M., Singh S. Study on energy use efficiency for paddy crop using data envelopment analysis (DEA) technique. Appl Energy 2009, 86:1320-1325.
21. Shi G.M., Bi J., Wang J.N. Chinese regional industrial energy efficiency evaluation based on a DEA model of fixing non-energy inputs. Energy Policy 2010, 38:6172-6179.
22. Mandal S.K. Do undesirable output and environmental regulation matter in energy efficiency analysis? Evidence from Indian cement industry. Energy Policy 2010, 38:6076-6083.
23. Coelli T.J., Rao D.S.P., O'Donnell C.J., Battese G.E. An introduction to efficiency and productivity analysis 2005, Springer, New York. 2nd ed.
24. Coelli TJ. A guide to FRONTIER 4.1: a computer program for stochastic frontier production and cost function estimation. CPEA working papers (No. 7/96). Department of Econometrics, University of New England; 1996.
25. OECD. Labor force statistics 1985-2005. Paris: OECD; 2006.
26. OECD. National accounts of OECD countries: main aggregates 1994-2005, vol. I. Paris: OECD; 2007.
27. Kamps C. Germany: Kiel Institute for the World Economy; 2004. http://www.ifw-kiel.de/forschung/netcap/netcap.xls.
28. Energy Information Administration. International energy annual 2005. Washington: US Department of Energy; 2005.