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dc.contributor.author
Dubois, Federico
dc.contributor.author
Zabaloy, María Florencia
dc.contributor.author
Ibañez Martín, María María
dc.date.available
2024-11-29T10:55:24Z
dc.date.issued
2023-05
dc.identifier.citation
Dubois, Federico; Zabaloy, María Florencia; Ibañez Martín, María María; Modeling energy consumption to measure energy poverty in households in Buenos Aires (Argentina), 2017-2018; Hungarian Central Statistical Office; Regional Statistics; 14; 2; 5-2023; 374-400
dc.identifier.issn
2063-9538
dc.identifier.uri
http://hdl.handle.net/11336/248966
dc.description.abstract
Energy poverty is a complex,multidimensional problem that affectspeople’s quality of life. Its study has becomean important pillar of the public policyagenda and the literature in Latin America.Using the 10% indicator, this paper aimed tomodel the energy consumption ofhouseholds in Argentina to estimate theenergy expenditure of each and thusdetermine which households are in a situationof energy poverty. For the empirical analysisThe authors used the 2017–2018 NationalHousehold Expenditure Survey of Argentina,and urban households in the interior of theprovince of Buenos Aires were selected as acase study. After characterizing the mainenergy consumption habits of the sample,energy poverty was assessed. The analysisshows that for the study period (2017–2018),a significant number of households sufferedfrom energy poverty; that is, they spent morethan 10% of their income on energyexpenditures. The findings indicate that theDemand Model is consistent, as the degree ofadjustment is 0.1% in the demand forelectricity and natural gas and 0.3% in thedemand for liquefied petroleum gas. Inaddition, 462,143 households (28.3% of thesample analyzed) in the interior of theprovince of Buenos Aires experienced energydeprivation when considering the 10%indicator. On the other hand, by means of the2M indicator, the results show that 518,686households were in energy poverty (31.8% ofthe sample analyzed).
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Hungarian Central Statistical Office
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
ENERGY CONSUMPTION
dc.subject
ENERGY POVERTY
dc.subject
MODELLING
dc.subject
ARGENTINA
dc.subject.classification
Economía, Econometría
dc.subject.classification
Economía y Negocios
dc.subject.classification
CIENCIAS SOCIALES
dc.title
Modeling energy consumption to measure energy poverty in households in Buenos Aires (Argentina), 2017-2018
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2024-11-27T09:44:41Z
dc.identifier.eissn
2064-8243
dc.journal.volume
14
dc.journal.number
2
dc.journal.pagination
374-400
dc.journal.pais
Hungría
dc.description.fil
Fil: Dubois, Federico. Universidad Nacional de San Martín. Escuela de Ciencia y Tecnología; Argentina
dc.description.fil
Fil: Zabaloy, María Florencia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; Argentina
dc.description.fil
Fil: Ibañez Martín, María María. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; Argentina
dc.journal.title
Regional Statistics
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.ksh.hu/statszemle_archive/regstat/2024/2024_02/rs140207.pdf
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.15196/RS140207
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