Research Interests for Gale A. Boyd

Research Interests: Energy & Environment, Production Efficiency, Micro-data, index number decomposition

Gale Boyd’s research interests pertain to production efficiency, micro-data, index number decomposition, and energy in relation to the environment. His studies have also focused on energy markets, developing industry, voluntary environmental programs, and emissions trading. In his recent studies, he analyzes his subjects through microeconomic modeling and proceeds to develop specific energy efficiency benchmarking tools. He has published his papers in numerous leading academic journals and volumes, from The Energy Journal and the Annual Review of Energy and Resources to the Journal of Economic Literature and the Journal of Industrial Ecology. His writings include such titles as, “Estimating Plant Level Manufacturing Energy Efficiency with Stochastic Frontier Regression,” “Modeling Industrial Energy Consumption,” and “Advances in Energy Forecasting Models based on Engineering-Economics.” Dr. Boyd’s current projects involve the investigation of energy efficiency benchmarking tools for use in the EPA Energy Star voluntary energy efficiency program.

energy, productivity, efficiency, environment, frontier
Current projects:
Developing industry specific energy efficiency benchmarking tools for use in the EPA Energy Star voluntary energy efficiency program
Areas of Interest:

energy markets
emission trading
voluntary environmental programs
climate change

Recent Publications
  1. Boyd, GA; Lee, JM, Measuring plant level energy efficiency and technical change in the U.S. metal-based durable manufacturing sector using stochastic frontier analysis, Energy Economics, vol. 81 (June, 2019), pp. 159-174 [doi[abs]
  2. Dalzell, NM; Boyd, GA; Reiter, JP, Creating linked datasets for SME energy-assessment evidence-building: Results from the U.S. Industrial Assessment Center Program, Energy Policy, vol. 111 (December, 2017), pp. 95-101, Elsevier BV [doi[abs]
  3. Boyd, GA, Comparing the statistical distributions of energy efficiency in manufacturing: meta-analysis of 24 Case studies to develop industry-specific energy performance indicators (EPI), Energy Efficiency, vol. 10 no. 1 (February, 2017), pp. 217-238, Springer Nature [doi[abs]
  4. Boyd, G; Doolin, M; Dutrow, E; Zhang, S, A new benchmark of energy performance for energy management in U.S. and Canadian integrated steel plants, Aistech Iron and Steel Technology Conference Proceedings, vol. 3 (January, 2016), pp. 2835-2848, Association for Iron & Steel Technology [abs]
  5. G.A. Boyd and Mark Curtis, Evidence of an “Energy-Management Gap” in U.S. Manufacturing: Spillovers from Firm Management Practices to Energy Efficiency, Journal of Economics and Environmental Management (Submitted, May, 2014) [abs]