Small Firm Electricity Demand in Las Cruces, New Mexico, USA
Descripción del Articulo
Research examining small commercial and industrial electricity usage patterns have historically received less attention than residential electricity consumption patterns. This study examines electricity as an input to small firm commercial and industrial (CIS) production in Las Cruces, the second la...
Autores: | , , , |
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Formato: | artículo |
Fecha de Publicación: | 2023 |
Institución: | Pontificia Universidad Católica del Perú |
Repositorio: | PUCP-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:repositorio.pucp.edu.pe:20.500.14657/195333 |
Enlace del recurso: | https://revistas.pucp.edu.pe/index.php/economia/article/view/27318/25589 https://doi.org/10.18800/economia.202301.004 |
Nivel de acceso: | acceso abierto |
Materia: | Derived Input Demand Duality Theory Electricity Las Cruces Metropolitan Economy https://purl.org/pe-repo/ocde/ford#5.02.01 |
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Fullerton, Jr., Thomas M.Pastor, Daniel J.Pokojovy, MichaelYurachek, Andrew T.2023-08-25T14:45:30Z2023-08-25T21:32:45Z2023-08-25T14:45:30Z2023-08-25T21:32:45Z2023-08-23https://revistas.pucp.edu.pe/index.php/economia/article/view/27318/25589https://doi.org/10.18800/economia.202301.004Research examining small commercial and industrial electricity usage patterns have historically received less attention than residential electricity consumption patterns. This study examines electricity as an input to small firm commercial and industrial (CIS) production in Las Cruces, the second largest metropolitan economy in the state of New Mexico, using annual frequency data from 1978 to 2018. Those data include labor, per capita personal income, price measures for electricity and natural gas, and weather variables. The long-run and short-run elasticities of the data are then estimated using an autoregressive distributed lag model (ARDL). In the long-run, the CIS derived-demand curve is found to be upward sloping, and Las Cruces CIS customers use natural gas as a complementary input. Real per capita income is also found to have a positive impact in the long-run, while weather impacts are found to be ambiguous. In the short-run, the Las Cruces CIS derived-demand curve is downward sloping, CIS customers use natural gas as a substitute factor, and weather extremes are found to be positively correlated with small firm electricity usage.application/pdfengPontificia Universidad Católica del PerúPEurn:issn:2304-4306urn:issn:0254-4415info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/4.0/Economía; Volume 46 Issue 91 (2023)reponame:PUCP-Institucionalinstname:Pontificia Universidad Católica del Perúinstacron:PUCPDerived Input DemandDuality TheoryElectricityLas Cruces Metropolitan Economyhttps://purl.org/pe-repo/ocde/ford#5.02.01Small Firm Electricity Demand in Las Cruces, New Mexico, USAinfo:eu-repo/semantics/articleArtículo20.500.14657/195333oai:repositorio.pucp.edu.pe:20.500.14657/1953332025-03-21 15:33:14.126https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessmetadata.onlyhttps://repositorio.pucp.edu.peRepositorio Institucional de la PUCPrepositorio@pucp.pe |
dc.title.en_US.fl_str_mv |
Small Firm Electricity Demand in Las Cruces, New Mexico, USA |
title |
Small Firm Electricity Demand in Las Cruces, New Mexico, USA |
spellingShingle |
Small Firm Electricity Demand in Las Cruces, New Mexico, USA Fullerton, Jr., Thomas M. Derived Input Demand Duality Theory Electricity Las Cruces Metropolitan Economy https://purl.org/pe-repo/ocde/ford#5.02.01 |
title_short |
Small Firm Electricity Demand in Las Cruces, New Mexico, USA |
title_full |
Small Firm Electricity Demand in Las Cruces, New Mexico, USA |
title_fullStr |
Small Firm Electricity Demand in Las Cruces, New Mexico, USA |
title_full_unstemmed |
Small Firm Electricity Demand in Las Cruces, New Mexico, USA |
title_sort |
Small Firm Electricity Demand in Las Cruces, New Mexico, USA |
author |
Fullerton, Jr., Thomas M. |
author_facet |
Fullerton, Jr., Thomas M. Pastor, Daniel J. Pokojovy, Michael Yurachek, Andrew T. |
author_role |
author |
author2 |
Pastor, Daniel J. Pokojovy, Michael Yurachek, Andrew T. |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Fullerton, Jr., Thomas M. Pastor, Daniel J. Pokojovy, Michael Yurachek, Andrew T. |
dc.subject.en_US.fl_str_mv |
Derived Input Demand Duality Theory Electricity Las Cruces Metropolitan Economy |
topic |
Derived Input Demand Duality Theory Electricity Las Cruces Metropolitan Economy https://purl.org/pe-repo/ocde/ford#5.02.01 |
dc.subject.ocde.none.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#5.02.01 |
description |
Research examining small commercial and industrial electricity usage patterns have historically received less attention than residential electricity consumption patterns. This study examines electricity as an input to small firm commercial and industrial (CIS) production in Las Cruces, the second largest metropolitan economy in the state of New Mexico, using annual frequency data from 1978 to 2018. Those data include labor, per capita personal income, price measures for electricity and natural gas, and weather variables. The long-run and short-run elasticities of the data are then estimated using an autoregressive distributed lag model (ARDL). In the long-run, the CIS derived-demand curve is found to be upward sloping, and Las Cruces CIS customers use natural gas as a complementary input. Real per capita income is also found to have a positive impact in the long-run, while weather impacts are found to be ambiguous. In the short-run, the Las Cruces CIS derived-demand curve is downward sloping, CIS customers use natural gas as a substitute factor, and weather extremes are found to be positively correlated with small firm electricity usage. |
publishDate |
2023 |
dc.date.accessioned.none.fl_str_mv |
2023-08-25T14:45:30Z 2023-08-25T21:32:45Z |
dc.date.available.none.fl_str_mv |
2023-08-25T14:45:30Z 2023-08-25T21:32:45Z |
dc.date.issued.fl_str_mv |
2023-08-23 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.other.none.fl_str_mv |
Artículo |
format |
article |
dc.identifier.uri.none.fl_str_mv |
https://revistas.pucp.edu.pe/index.php/economia/article/view/27318/25589 |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.18800/economia.202301.004 |
url |
https://revistas.pucp.edu.pe/index.php/economia/article/view/27318/25589 https://doi.org/10.18800/economia.202301.004 |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.none.fl_str_mv |
urn:issn:2304-4306 urn:issn:0254-4415 |
dc.rights.es_ES.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.uri.*.fl_str_mv |
https://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0/ |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.es_ES.fl_str_mv |
Pontificia Universidad Católica del Perú |
dc.publisher.country.none.fl_str_mv |
PE |
dc.source.es_ES.fl_str_mv |
Economía; Volume 46 Issue 91 (2023) |
dc.source.none.fl_str_mv |
reponame:PUCP-Institucional instname:Pontificia Universidad Católica del Perú instacron:PUCP |
instname_str |
Pontificia Universidad Católica del Perú |
instacron_str |
PUCP |
institution |
PUCP |
reponame_str |
PUCP-Institucional |
collection |
PUCP-Institucional |
repository.name.fl_str_mv |
Repositorio Institucional de la PUCP |
repository.mail.fl_str_mv |
repositorio@pucp.pe |
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score |
13.784664 |
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).