A model of energy poverty and access: Estimating household electricity demand and appliance ownership

17172 8 93935 2 273291 document 93935 1-s2.0-S0140988321001717-main.pdf application/pdf dabbe88029d485a829f298ac5d4be70d MD5 3667817 2021-04-20 06:30:35 https://pure.iiasa.ac.at/id/eprint/17172/1/1-s2.0-S0140988321001717-main.pdf 17172 1 1 application/pdf text en public cc_by_4

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published 93936 1 273297 document 93936 indexcodes.txt text/x-c++ 35b398a26e2528e4d71b1cd679000bd8 MD5 11891 2021-04-20 06:40:53 https://pure.iiasa.ac.at/id/eprint/17172/2/indexcodes.txt 17172 2 2 text/x-c++ other Generate index codes conversion from text to indexcodes en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/93935 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/93935 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/93935 archive 353 disk0/00/01/71/72 2021-04-20 06:32:19 2026-03-06 05:00:19 2021-04-20 06:32:19 article show Poblete Cazenave M. 8909 0000-0001-8280-910X Pachauri S. 1816 0000-0001-8138-3178 A model of energy poverty and access: Estimating household electricity demand and appliance ownership pub ECE TISS In countries that have a large share of population in energy poverty, appliance and electricity demand can be expected to rise. Approaches to estimate latent demand of energy poor populations often assume a constant income elasticity of demand. Here, we develop a novel simulation-based structural estimation approach to estimate responsiveness of electricity demand to income accounting for non-linearities, and considering other important drivers. We apply the model using micro-data for four developing nations to assess the implications of policy scenarios for achieving the Sustainable Development Goal SDG 7 under different socio-economic futures. We find that under scenarios that include policies to achieve universal access to electricity, total electricity demand is higher but the average per capita is lower than in no access policy futures. We also find that the level of adoption of electrical appliances varies significantly by country, appliance type, climate and income, with a high and stable share of electricity used for entertainment in all four countries and socio-economic futures. However, the share of electricity used for food preservation and preparation and clothes maintenance rises significantly with income as people are able to afford appliances that provide greater convenience. Our results confirm that as energy poor populations gain access to electricity services their demand will rise, but neglecting heterogeneity can result in biased estimates. 2021-06 published Elsevier 10.1016/j.eneco.2021.105266 3068 222 public Energy Economics 98 e105266 TRUE 0140-9883 FALSE no info:eu-repo/semantics/article