Determining the factors of household energy transitions
A multi-domain study
Bibliographic Data
| ID | 11239780 |
|---|---|
| Authors | Sujeetha Selvakkumaran (0000-0002-0237-7886, Chalmers University of Technology, corresponding author), Erik O Ahlgren (0000-0002-1164-0850, Chalmers University of Technology) |
| Year | 2019 |
| Volume | 57 |
| Pages | 54-75 |
| Publication date | 2019-05-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Technology in Society (JOURNAL) |
| Journal identifiers | ISSN: 0160-791X • E-ISSN: 1879-3274 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.techsoc.2018.12.003 |
| OpenAlex | W2904790386 |
| Language | EN |
| Citations received | 11 |
| References cited | 44 |
Energy transitions at the household level are important because there are so many households, and motives and barriers to these transitions processes are not well understood. The objective of this paper is to investigate explanatory variables of household energy transitions. We select papers investigating explanatory variables underpinning household energy transitions in three domains: adoption of solar photovoltaics (PV) in households, adoption/transition to sustainable residential heating systems (RHS) and adoption/transition to alternative fuel vehicles (AFVs). In all three domains the chosen literature employ a wide variety of quantitative analyses such as discrete choice models ranging from multinomial logit models and principal component analysis to qualitative assessment of the answers through inductive analysis. The explanatory variables are categorized in six superordinate explanatory variable categories of economic factors, environmental factors, personal preferences and values, social factors, household characteristics and market and policy factors. In total we identify 31 explanatory variables which have been investigated in the 38 articles chosen, falling under the six categories. Investment cost is an important explanatory variable for all three domains, but a policy variable such as government subsidy could mitigate the former explanatory variable. We propose a conceptual framework as an initial step towards understanding the interactions and impacts of the explanatory variables with each other
Econometrics · Economics · Energy policy · Energy transition · Environmental economics · Explanatory model · Explanatory power · Multinomial logistic regression · Public economics · Renewable energy · Statistics · Subsidy · Superordinate goals · Variable (mathematics · Variables · Electric Vehicles and Infrastructure · Energy and Environment Impacts · Energy, Environment, and Transportation Policies · Engineering · Mathematics · Psychology · Social Psychology
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Barriers to widespread adoption of electric vehicles
Sustainability Transitions Research
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Examining the decision-making processes behind household energy investments
Peer effects in residential solar photovoltaics adoption—A mixed methods study of Swedish users
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No pipes in my backyard
Explaining interest in adopting residential solar photovoltaic systems in the United States
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Social research 2.0
The social–ecological system framework as a knowledge classificatory system for benthic small-scale fisheries
Social-ecological system framework
Three Approaches to Qualitative Content Analysis
Comparison of Frameworks for Analyzing Social-ecological Systems
| Unique citing works | 11 |
|---|---|
| Citations per year | 2,2 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 11 |