Arbeitspapier
The narrative of the energy efficiency gap
For more than forty years analysts have pointed out that society might be too slow in adopting energy efficiency technologies, a phenomenon known as the Energy Efficiency Gap. There are persistent market barriers that impede these efforts. Eliciting these barriers and their heterogeneity is key for policy design. In this paper, we use narratives, a novel approach based on unstructured text answers in surveys, to elicit the barriers and determinants of energy efficiency investments. Using recent advances in Natural Language Processing (NLP), we turn narratives into quantifiable metrics to rank households' barriers and determinants. We find that financial motives are not the primary barriers or determinants of energy efficiency investments. Instead, we find that such investments are highly opportunistic and co-benefits, such as ecological concerns and comfort, also play an important role. Although there is substantial heterogeneity across the population in the type of barriers and determinants, demographics and building characteristics poorly predict heterogeneity patterns. This has important implications for the targeting of policies. Narratives could be a novel and effective way to implement policy targeting.
- Sprache
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Englisch
- Erschienen in
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Series: Economics Working Paper Series ; No. 21/359
- Klassifikation
-
Wirtschaft
Energy: Demand and Supply; Prices
Environmental Economics: General
Information and Product Quality; Standardization and Compatibility
Consumer Economics: Empirical Analysis
Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
Micro-Based Behavioral Economics: Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making‡
- Thema
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energy efficiency gap
natural language processing
policy targeting
open-ended questions
- Ereignis
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Geistige Schöpfung
- (wer)
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Houde, Sébastien
Wekhof, Tobias
- Ereignis
-
Veröffentlichung
- (wer)
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ETH Zurich, CER-ETH - Center of Economic Research
- (wo)
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Zurich
- (wann)
-
2021
- DOI
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doi:10.3929/ethz-b-000495755
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:43 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Houde, Sébastien
- Wekhof, Tobias
- ETH Zurich, CER-ETH - Center of Economic Research
Entstanden
- 2021