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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