Evidence map›Paper›PMID 36950343›Full record

ReviewCampbell systematic reviews2021

Residential energy efficiency interventions: A meta-analysis of effectiveness studies.

Miriam Berretta, Joshua Furgeson, Yue Nicole Wu, Collins Zamawe, Ian Hamilton, John Eyers

Open access · diamondAbstract readReview
In one paragraph

Review in Campbell systematic reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Miriam BerrettaInternational Initiative for Impact Evaluation (3ie) London UK.
Joshua FurgesonInternational Initiative for Impact Evaluation (3ie) London UK.
Yue Nicole WuIndependent Consultant, 3ie Hong Kong China.
Collins ZamaweIndependent consultant, 3ie Lilongwe Malawi.
Ian HamiltonUCL Energy Institute London UK.
John EyersInternational Initiative for Impact Evaluation (3ie) London UK.
Energy Institute · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The residential sector releases around 17% of global greenhouse gas emissions and making residential buildings more energy efficient can help mitigate climate change. Engineering models are often used to predict the effects of residential energy efficiency interventions (REEI) on energy consumption, but empirical studies find that these models often over-estimate the actual impact of REEI installation. Different empirical studies often estimate different impacts for the same REEI, possibly due to variations in implementation, climate and population. Funding for this systematic review was provided by the evaluation function at the European Investment Bank Group. Objectives: The review aims to assess the effectiveness of installing REEIs on the following primary outcomes: energy consumption, energy affordability, CO Search Methods: We searched CAB Abst, Econlit, Greenfile, Repec, Academic Search Complete, WB e-lib, WoS (SCI and SSCI) and other 42 databases in November 2020. In addition, we searched for grey literature on websites, checked the reference lists of included studies and relevant reviews, used Google Scholar to identify studies citing included studies, and contacted the authors of studies for any ongoing and unpublished studies. We retrieved a total of 13,629 studies that we screened at title and abstract level, followed by full-text screening and data extraction. Selection Criteria: We included randomised control trials, and quasi-experimental studies that evaluated the impact of installing REEIs anywhere in the world and with any comparison. Data Collection and Analysis: Two independent reviewers screened studies for eligibility, extracted data and assessed risk of bias. When more than one included study examined the same installation of the same type of REEI for a similar outcome, we conducted a meta-analysis. We also performed subgroup analyses. Main Results: A total of 16 studies were eligible and included in the review: two studies evaluated the installation of efficient lighting, three studies the installation of attic/loft insulation, two studies the installation of efficient heat pumps, eight studies the installation of a bundle of energy efficiency measures (EEMs), and one study evaluated other EEMs. Two studies, neither appraised as having a low risk of bias, find that lighting interventions lead to a significant reduction in electricity energy consumption (Hedges' Authors' Conclusions: The 16 included studies indicate that installing REEIs can significantly reduce energy consumption. However, the same type of REEI installed in different studies caused different effects, indicating that effects are conditional on implementation and context. Exploring causes of this variation is usually not feasible because existing research often does not clearly report the features of installed interventions. Additional high quality impact evaluations should be commissioned in more diverse contexts (only one study was conducted in either Asia or Africa-both involved lighting interventions-and no studies were conducted in South America or Southern Europe).

Identifiers

PMID36950343
PMCPMC8988770
OpenAlexW4200205196

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.