Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 1177822

Household size and composition as a driver of energy poverty: Evidence from census data in non-OECD countries


Ivanda, Krešimir; Strmota, Marin
Household size and composition as a driver of energy poverty: Evidence from census data in non-OECD countries // IUSSP International Population Conference 2021
Hyderābād, Indija, 2021. str. 1-4 (poster, podatak o recenziji nije dostupan, prošireni sažetak, znanstveni)


CROSBI ID: 1177822 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Household size and composition as a driver of energy poverty: Evidence from census data in non-OECD countries

Autori
Ivanda, Krešimir ; Strmota, Marin

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, prošireni sažetak, znanstveni

Skup
IUSSP International Population Conference 2021

Mjesto i datum
Hyderābād, Indija, 05.12.2021. - 10.12.2021

Vrsta sudjelovanja
Poster

Vrsta recenzije
Podatak o recenziji nije dostupan

Ključne riječi
Multiregional demography, Economic analysis, Cross-country comparative analyses, Inequality

Sažetak
Access to electricity is a prerequisite for multiple activities and benefits that improve quality of life and prevent poverty. Developing countries have witnessed impressive improvement in household electrification in recent decades. However, almost 20% of world population is still lacking access to electricity. Existing literature on energy poverty is lacking the demographic background and is focused on building characteristics rather than including household size and composition. Scarce interdisciplinary literature that does take the demographic aspects of energy poverty unanimously confirms its importance. Using IPUMS-I census microdata for 75 non-OECD countries from the period 1970-2014 we analyze the effect of household characteristics on access to electricity as a measure of energy poverty. Focusing on household size and composition we found that bigger, rural and certain household types have higher odds of being non-electrified. Also, differences between regions exist and are most pronounced between Sub-Saharan Africa and the rest of the non-OECD countries analyzed in this paper. This research demonstrated that census data could be used to measure energy poverty and its characteristics. Furthermore, our findings magnify the need for better understanding of demographic background of energy poverty and reshaping our energy policies.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija, Demografija



POVEZANOST RADA


Projekti:
UIP-2019-04-3054 - Sociodemografske odrednice potrošnje energije u Hrvatskoj (EnergoDem ) (Strmota, Marin, HRZZ - 2019-04) ( CroRIS)

Ustanove:
Ekonomski fakultet, Zagreb

Profili:

Avatar Url Marin Strmota (autor)

Avatar Url Krešimir Ivanda (autor)

Poveznice na cjeloviti tekst rada:

ipc2021.popconf.org

Citiraj ovu publikaciju:

Ivanda, Krešimir; Strmota, Marin
Household size and composition as a driver of energy poverty: Evidence from census data in non-OECD countries // IUSSP International Population Conference 2021
Hyderābād, Indija, 2021. str. 1-4 (poster, podatak o recenziji nije dostupan, prošireni sažetak, znanstveni)
Ivanda, K. & Strmota, M. (2021) Household size and composition as a driver of energy poverty: Evidence from census data in non-OECD countries. U: IUSSP International Population Conference 2021.
@article{article, author = {Ivanda, Kre\v{s}imir and Strmota, Marin}, year = {2021}, pages = {1-4}, keywords = {Multiregional demography, Economic analysis, Cross-country comparative analyses, Inequality}, title = {Household size and composition as a driver of energy poverty: Evidence from census data in non-OECD countries}, keyword = {Multiregional demography, Economic analysis, Cross-country comparative analyses, Inequality}, publisherplace = {Hyder\={a}b\={a}d, Indija} }
@article{article, author = {Ivanda, Kre\v{s}imir and Strmota, Marin}, year = {2021}, pages = {1-4}, keywords = {Multiregional demography, Economic analysis, Cross-country comparative analyses, Inequality}, title = {Household size and composition as a driver of energy poverty: Evidence from census data in non-OECD countries}, keyword = {Multiregional demography, Economic analysis, Cross-country comparative analyses, Inequality}, publisherplace = {Hyder\={a}b\={a}d, Indija} }




Contrast
Increase Font
Decrease Font
Dyslexic Font