Uncertainty and additionality in energy efficiency programs
Ben Gilbert,
Jacob LaRiviere and
Kevin Novan
Journal of Environmental Economics and Management, 2022, vol. 115, issue C
Abstract:
Residential energy efficiency subsidy programs often suffer from poor additionality. Using a large household-level dataset of energy efficiency subsidy program participation, we find that households are significantly more likely to participate when first moving into an existing home — when uncertainty about energy consumption and savings is greatest. We also find that the influence of bills and dwelling characteristics on participation declines the longer a household has lived in a dwelling. These findings suggest that there is uncertainty about the household-specific benefits of an upgrade that resolves over time. We show that when this is the case, not only are a share of participating households inframarginal (i.e. “non-additional”), many of the “additional” participants may not be economically efficient.
Keywords: Durable goods; Learning; Electricity; Second best (search for similar items in EconPapers)
JEL-codes: D Q (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0095069622000638
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jeeman:v:115:y:2022:i:c:s0095069622000638
DOI: 10.1016/j.jeem.2022.102700
Access Statistics for this article
Journal of Environmental Economics and Management is currently edited by M.A. Cole, A. Lange, D.J. Phaneuf, D. Popp, M.J. Roberts, M.D. Smith, C. Timmins, Q. Weninger and A.J. Yates
More articles in Journal of Environmental Economics and Management from Elsevier
Bibliographic data for series maintained by Catherine Liu ().