Comparing the statistical distributions of energy efficiency in manufacturing: meta-analysis of 24 Case studies to develop industry-specific energy performance indicators (EPI)

Author:

Boyd Gale A.

Funder

U.S. Environmental Protection Agency’s Office of Atmospheric Programs

Publisher

Springer Science and Business Media LLC

Subject

General Energy

Reference45 articles.

1. Aarons, K., Golding, C., & Clark S. (2013). Key considerations for industrial benchmarking in theory and practice

2. Azadeh, A., Amalnick, M. S., Ghaderi, S. F., & Asadzadeh, S. M. (2007). An integrated DEA PCA numerical taxonomy approach for energy efficiency assessment and consumption optimization in energy intensive manufacturing sectors. Energy Policy, 35(7), 3792–3806.

3. Battese, G. E., & Rao, D. S. P. (2002). Technology gap, efficiency, and a stochastic metafrontier function. International Journal of Business and Economics, 1(2), 87–93.

4. Bloom, N., Genakos, C., Martin, R., & Sadun, R. (2010). Modern management: good for the environment or just hot air?*. The Economic Journal, 120(544), 551–572.

5. Boyd, G. A. (2005a). Development of a performance-based industrial energy efficiency indicator for automobile assembly plants. Argonne: Argonne National Laboratory.

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