Gale A Boyd, Director of the Triangle Research Data Center and Research Scholar

Gale Boyd is the Director of the Triangle Census Research Data Center (TRDC), a partnership between the U.S. Bureau of Census and Duke University in cooperation with the University of North Carolina. The TRDC is one of nine locations in the country where research on the confidential micro-data collected by Census can be conducted. Dr. Boyd has over 15 years of experience working with confidential Census data. His research applies frontier production function and data envelopment analysis approaches to industrial plant-level data for microeconomic modeling of industrial energy demand, emissions, and productivity. He is currently developing a series of industry specific energy efficiency benchmarking tools for use in the EPA Energy Star voluntary energy efficiency program. Prior to joining the Economics department at Duke, Gale was an economist and section leader of the Social Science, Policy and Law Section at Argonne National Laboratory.

Contact Info:

Office Location:	329 E
Email Address:

Teaching (Spring 2010):

• ECON 195S.53, ENERGY MARKETS & ENV. IMPACTS Synopsis

  Perkins 2-070, MF 02:50 PM-04:05 PM

Education:

PhD

Southern Illinois University - Carbondale

1984

Specialties:

Microeconomics

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

Current projects: Developing industry specific energy efficiency benchmarking tools for use in the EPA Energy Star voluntary energy efficiency program. , Estimating Hedonic Equilibrium models using Census Micro data., Freight commodity mode choice using the micro-data Commodity Flow Survey

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, “Emergence and Survival of New Businesses,” “Estimating Plant Level Manufacturing Energy Efficiency with Stochastic Frontier Regression,” “Modeling Industrial Energy Consumption,” and “Advances in Energy Forecasting Models based on Engineering-Economics.” Professor Boyd’s current projects involve the investigation of energy efficiency benchmarking tools for use in the EPA Energy Star voluntary energy efficiency program, estimating hedonic equilibrium models using census micro-data, and freight commodity mode choice using the micro-data commodity flow survey.

Areas of Interest:

energy markets
emission trading
voluntary environmental programs
climate change

Keywords:

energy • productivity • efficiency • environment • frontier

Recent Publications   (More Publications)

1. G.A. Boyd, Emergence and Survival of New Businesses, Journal of Economic Literature (September, 2008)
2. Boyd, G., E. Dutrow and W. Tunnesen, The Evolution of the Energy Star Industrial Energy Performance Indicator for Benchmarking Plant Level Manufacturing Energy Use, Journal of Cleaner Production, Invited paper for the special issue Pollution Prevention and Cleaner Production in the United States of America, vol. 16 no. 6 (April, 2008), pp. 709-715
3. G.A. Boyd, Estimating Plant Level Manufacturing Energy Efficiency with Stochastic Frontier Regression, The Energy Journal, vol. 29 no. 2 (2008), pp. 23-44
4. Gale Boyd, coeditor with Lorna Greening and Joe Roop, Modeling Industrial Energy Consumption, Special Issue of Energy Economics, vol. 29 no. 4 (July, 2007)
5. G.A. Boyd, A Statistical Model for Measuring the Efficiency Gap between Average and Best Practice Energy Use: The ENERGY STAR™ Industrial Energy Performance Indicator, in 9, Journal of Industrial Ecology, vol. 3 (2005)