Evidence map›Paper›PMID 36932168›Full record

ArticleScientific reports2023

Air-conditioning adoption and electricity demand highlight climate change mitigation-adaptation tradeoffs.

Francesco Pietro Colelli, Ian Sue Wing, Enrica De Cian

Open access · goldFull text read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
11.7field-weighted citation impact, top 1% 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

11 citing papers in PubMed, 76 citations in OpenAlex.

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  7. The 2025Lancet regional health. Americas · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Francesco Pietro ColelliDept. of Economics, Cannaregio, University of Venice Ca' Foscari, Venice, 30120, Italy. francesco.colelli@unive.it.
Ian Sue WingDepartment of Earth & Environment, 685 Commonwealth Ave., Boston, MA, 02215, USA.
Enrica De CianDept. of Economics, Cannaregio, University of Venice Ca' Foscari, Venice, 30120, Italy.
Ca' Foscari University of Venice · ITVeneto Eye Bank Foundation · IT

Funding

European Research Council 756194Horizon 2020 Framework Programme 681228U.S. Department of Energy DE-SC0016162
6 · The paper itself

Abstract

We elucidate mid-century climate change impacts on electricity demand accounting for endogenous adoption of residential air-conditioning (AC) in affluent, cooler countries in Europe, and in poorer, hotter states in India. By 2050, in a high-warming scenario (SSP585) AC prevalence grows twofold in Europe and fourfold in India, reaching around 40% in both regions. We document a mitigation-adaptation tradeoff: AC expansion reduces daily heat exposures by 150 million and 3.8 billion person degree-days (PDDs), but increases annual electricity demand by 34 TWh and 168 TWh in Europe and India, respectively (corresponding to 2% and 15% of today's consumption). The increase in adoption and use of AC would result in an additional 130 MMTCO2, of which 120 MMTCO2 in India alone, if the additional electricity generated were produced with today's power mix. The tradeoff varies geographically and across income groups: a one PDD reduction in heat exposure in Europe versus India necessitates five times more electricity (0.53 kWh vs 0.1 kWh) and two times more emissions (0.16 kgCO[Formula: see text] vs 0.09 kgCO[Formula: see text]), on average. The decomposition of demand drivers offers important insights on how such tradeoff can be moderated through policies promoting technology-based and behavioral-based adaptation strategies.

Identifiers

PMID36932168
PMCPMC10023814
OpenAlexW4327698548

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read57
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.