Reflections on Energy Efficiency Policies in Sustainable Transition: Bedrock, Gamechanger, or More of the Same?
Bibliographic record
Abstract
ABSTRACT In this study, we analyze how energy efficiency actions, policies, and outcomes are tied to wider socio‐economic and political contexts that are important from a sustainable energy transition perspective. In our two‐part study, we first conduct a bibliometric analysis of 206 publications to identify some of the dominant discourses in the literary construction of energy efficiency actions and outcomes from a sustainable energy transition policy perspective using keywords–energy efficiency, energy policy, sustainable transition, political, conflict, consumption, and equity. Next, we identify and take up five comparatively understudied themes to understand the how and why questions surrounding residential energy efficiency actions, policies, and outcomes for sustainable transition‐(i) efficiency versus consumption; (ii) barriers and conflicts at the individual, household, and institutional levels; (iii) policy processes and heterogeneity; (iv) demonstrable savings versus normative ethics and equity ideals; and (v) public policy and market‐based frameworks. Using a multi‐disciplinary lens, we explore the underlying paradigms, dynamics, synergies, and trade‐offs between different actors, institutions, and situational contexts influencing complex energy efficiency policy processes. We note the role of bargaining, negotiations, and political dynamics as important elements of policy processes that influence adoption, applicability, and jurisdictions of energy efficiency policies. Our study also highlights the need for policies that target absolute energy consumption and careful balancing of socially equitable objectives with economically efficient outcomes in a market‐based framework. We believe that a better understanding and comprehensive discussion of these challenges will inform policymaking and ensure better outcomes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.004 | 0.023 |
| Scholarly communication | 0.017 | 0.018 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".