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Climate change has increased household electricity Consumption——An adaptive behavioral perspective

Datos Bibliográficos

ID6045459
AutoresJieyu Li (0000-0001-8868-6905, Sun Yat-sen University), Kun He (0009-0007-8415-3686, Sun Yat-sen University, autor de correspondencia)
Año2025
Volumen5
Número1
Páginas57-71
Fecha de publicación2025-03-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaChina Economic Quarterly International (JOURNAL)
Identificadores de la revistaISSN: 2666-9331 • E-ISSN: 2666-9331
EditorialElsevier BV (PUBLISHER)
DOI10.1016/j.ceqi.2025.04.001
OpenAlexW4410283479
IdiomaEN
Referencias citadas14

Using the panel data of 244 cities from 2011 to 2020, this paper constructs temperature deviation indicators and evaluates the effects of climate change on electricity consumption from an adaptive behavioral perspective. This paper finds that cooling degree days (CDD) push up electricity consumption, among which the purchase and use of air conditioners contribute about 58.7 % – 78.7 %. Heterogeneity analysis reveals that extreme temperature, humidity, and income strengthen the response of electricity consumption and air conditioner purchase to CDD. Technological advancements that reduce air conditioning energy consumption can only partially alleviate the positive impact of air conditioning usage duration on household electricity consumption

Biology · Climate change · Economics · Electricity · Environmental economics · Natural resource economics · Sociology · Computer Science · Energy and Environment Impacts · Energy, Environment, and Transportation Policies · Engineering · Environmental Education and Sustainability · Environmental Science · Artificial Intelligence · Ecology

  • Contribution of air conditioning adoption to future energy use under global warming

    Open Access•Lucas W Davis, Paul Gertler et al.•Proceedings of the National…•2015

  • Climate Change, Mortality, and Adaptation

    Open Access•Olivier Deschênes, Madison Greenstone et al.•American Economic Journal Applied…•2011

  • Using Heteroscedasticity to Identify and Estimate Mismeasured and Endogenous Regressor Models

    Arthur Lewbel•Journal of Business and Economic…•2012

  • On Measuring Energy Poverty in Indian Households

    Open Access•Saroj Pachauri, Angelika Johanna Marie Mueller et al.•World Development•2004

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