Social media data shed light on air-conditioning interest of heat-vulnerable regions and sociodemographic groups.

air conditioning behavioral change climate change mitigation cooling demand social heterogeneity social media data technology adoption

Journal

One earth (Cambridge, Mass.)
ISSN: 2590-3322
Titre abrégé: One Earth
Pays: United States
ID NLM: 101772818

Informations de publication

Date de publication:
21 Apr 2023
Historique:
received: 21 07 2022
revised: 30 08 2022
accepted: 27 03 2023
medline: 2 5 2023
pubmed: 2 5 2023
entrez: 2 5 2023
Statut: ppublish

Résumé

Cooling homes with air conditioners is a vital adaptation approach, but the wider adoption of air conditioners can increase hydrofluorocarbon emissions that have high global warming potential and carbon emissions as a result of more fossil energy consumption. The scale and scope of future cooling demand worldwide are, however, uncertain because the extent and drivers of air-conditioning adoption remain unclear. Here, using 2021 and 2022 Facebook and Instagram data from 113 countries, we investigate the usability of social media advertising data to address these data gaps in relation to the drivers of air-conditioning adoption. We find that social media data might represent air-conditioning purchasing trends. Globally, parents of small children and middle-aged, highly educated married or cohabiting males tend to express greater interest in air-conditioning adoption. In regions with high heat vulnerability yet little empirical data on cooling demand (e.g., the Middle East and North Africa), these sociodemographic factors play a more prominent role. These findings can strengthen our understanding of future cooling demand for more sustainable cooling management.

Identifiants

pubmed: 37128238
doi: 10.1016/j.oneear.2023.03.011
pii: S2590-3322(23)00145-8
pmc: PMC10140935
doi:

Types de publication

Journal Article

Langues

eng

Pagination

428-440

Informations de copyright

© 2023 The Authors.

Déclaration de conflit d'intérêts

The authors declare no competing interests.

Références

Nat Commun. 2021 Nov 9;12(1):6460
pubmed: 34753905
Nat Commun. 2021 Oct 4;12(1):5807
pubmed: 34608159
Sci Adv. 2016 Mar 11;2(3):e1500779
pubmed: 27034978
Nat Methods. 2020 Mar;17(3):261-272
pubmed: 32015543
Sci Rep. 2017 Mar 07;7:43909
pubmed: 28266567
Proc Natl Acad Sci U S A. 2018 Jul 3;115(27):6958-6963
pubmed: 29921703
PLoS One. 2013 Apr 24;8(4):e61373
pubmed: 23637820
Nat Commun. 2019 Jun 24;10(1):2762
pubmed: 31235700

Auteurs

Sibel Eker (S)

Nijmegen School of Management, Radboud University, Nijmegen, the Netherlands.
International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria.

Alessio Mastrucci (A)

International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria.

Shonali Pachauri (S)

International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria.

Bas van Ruijven (B)

International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria.

Classifications MeSH