Technical Efficiency Measures as a Tool for Energy Benchmarking in Industry?

Energy benchmarking is a practical management tool to evaluate and improve the energy performance of an industrial firm, possibly revealing considerable potentials for energy savings and for reduction of emissions to the atmosphere and biosphere. Existing energy metrics used for energy benchmarking however are strictly limited to measuring energy efficiency, completely disregarding positive or negative effects energy savings may have on other environmental pressures (use of depletable resources other than energy, emissions of pollutants, effluents or waste). We therefore propose investigating the use of technical efficiency measures as energy benchmarking tools. Technical efficiency is explored from both an engineering and a micro-economic approach, although we limit our discussion to the non-parametric mathematical programming performance measures. Particular attention is given to the inclusion of undesirable outputs or ‘bads' in the existing performance measures. We conclude with a cursory review of empirical research done in the field of environmental performance indicators (EPIs), mainly in the sector of electricity generation and pulp and paper mills.

[1]  W. Cooper,et al.  Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software , 1999 .

[2]  Eliezer Geisler,et al.  The metrics of technology evaluation: where we stand and where we should go from here , 2002, Int. J. Technol. Manag..

[3]  Agapi Somwaru,et al.  Incorporating undesirable outputs into models of production: an application to United States agriculture , 1994 .

[4]  R. Färe Derivation of Shadow Prices for Undesirable Outputs: A Distance Function Approach , 1993 .

[5]  Suthathip Yaisawarng,et al.  The Effects of Sulfur Dioxide Controls on Productivity Change in the U.S. Electric Power Industry , 1994 .

[6]  Rolf Färe,et al.  The effect of environmental regulations on the efficiency of electric utilities: 1969 versus 1975 , 1989 .

[7]  Holger Scheel,et al.  Undesirable outputs in efficiency valuations , 2001, Eur. J. Oper. Res..

[8]  Abraham Charnes,et al.  Measuring the efficiency of decision making units , 1978 .

[9]  Juan A. Vega-Cervera,et al.  The use of parametric and non-parametric frontier methods to measure the productive efficiency in the industrial sector: A comparative study , 2001 .

[10]  M. Farrell The Measurement of Productive Efficiency , 1957 .

[11]  Daniel Tyteca,et al.  Linear Programming Models for the Measurement of Environmental Performance of Firms—Concepts and Empirical Results , 1997 .

[12]  A. Charnes,et al.  Data Envelopment Analysis Theory, Methodology and Applications , 1995 .

[13]  Aviel Verbruggen,et al.  Barriers , Opportunities , and Market Potential of Technologies and Practices , 2001 .

[14]  D. Mortimer Competing Methods for Efficiency Measurement : A Systematic Review of Direct DEA vs SFA/DFA Comparisons , 2002 .

[15]  G. Debreu The Coefficient of Resource Utilization , 1951 .

[16]  Daniel Tyteca,et al.  On the Measurement of the Environmental Performance of Firms— A Literature Review and a Productive Efficiency Perspective , 1996 .

[17]  R. Shephard Cost and production functions , 1953 .

[18]  A. Charnes,et al.  Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis , 1984 .

[19]  Rolf Färe,et al.  Environmental regulation and profitability: An application to Swedish pulp and paper mills , 1995 .