Creating linked datasets for SME energy-assessment evidence-building: Results from the U.S. Industrial Assessment Center Program

B-Tier
Journal: Energy Policy
Year: 2017
Volume: 111
Issue: C
Pages: 95-101

Authors (3)

Dalzell, Nicole M. (not in RePEc) Boyd, Gale A. (Duke University) Reiter, Jerome P. (not in RePEc)

Score contribution per author:

0.670 = (α=2.01 / 3 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

Lack of information is commonly cited as a market failure resulting in an energy-efficiency gap. Government information policies to fill this gap may enable improvements in energy efficiency and social welfare because of the externalities of energy use. The U.S. Department of Energy Industrial Assessment Center (IAC) program is one such policy intervention, providing no-cost assessments to small and medium enterprises (SME). The IAC program has assembled a wealth of data on these assessments, but the database does not include information about participants after the assessment or on non-participants. This study addresses that lack by creating a new linked dataset using the public IAC and non-public data at the Census Bureau. The IAC database excludes detail needed for an exact match, so the study developed a linking methodology to account for uncertainty in the matching process. Based on the linking approach, a difference in difference analysis for SME that received an assessment was done; plants that received an assessment improve their performance over time, relative to industry peers that did not. This new linked dataset is likely to shed even more light on the impact of the IAC and similar programs in advancing energy efficiency.

Technical Details

RePEc Handle
repec:eee:enepol:v:111:y:2017:i:c:p:95-101
Journal Field
Energy
Author Count
3
Added to Database
2026-01-24