Factors Associated with Electricity Losses: A Panel Data Perspective

<p>Electricity losses are an important problem worldwide that shuld be mitigated, since they generate an impact on CO<sub>2</sub> emissions and drive a possible rate increase. The benefits of the reduction of such losses are savings, a better environment and less infrastructure nee...

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Main Authors: Hugo Briseño, Omar Rojas
Format: Article
Language:English
Published: EconJournals 2020-08-01
Series:International Journal of Energy Economics and Policy
Online Access:https://econjournals.com/index.php/ijeep/article/view/9599
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spelling doaj-54b1130141204f6188f3a3aec102ec2e2020-11-25T03:44:38ZengEconJournalsInternational Journal of Energy Economics and Policy2146-45532020-08-011052812864699Factors Associated with Electricity Losses: A Panel Data PerspectiveHugo Briseño0Omar Rojas1Universidad Panamericana. Escuela de Ciencias Económicas y EmpresarialesUniversidad Panamericana. Escuela de Ciencias Económicas y Empresariales.<p>Electricity losses are an important problem worldwide that shuld be mitigated, since they generate an impact on CO<sub>2</sub> emissions and drive a possible rate increase. The benefits of the reduction of such losses are savings, a better environment and less infrastructure needs, amongst others. However, in order to generate reductions, it is imperative to measure the factors associated with such losses. Thus, the objective of this study is to explore the factors associated with electricity losses in the world. A database of 91 countries and 10 years of available data, from 2005 to 2014, was built, with variables taken according to our literature review and obtaind from different publicly available sources. A  panel data model with international information was then tested in order to find the determinants of power losses. The model with the best fit was one with random effects. Our results show that the variables unemployment and crime were significant and positive at one percent, while urbanization and education were significant and negative also at one percent. Finally, we provide some policy implications on the evidence of how electricity losses are associated with low education, high unemployment, high homicide rates, and less urbanization.</p><p><strong>Keywords:</strong> Electricity losses, T&amp;D losses, electricity theft, non-technical losses, power losses, random effects.</p><p><strong>JEL Classifications:</strong> L94, N70, Q41</p><p>DOI: <a href="https://doi.org/10.32479/ijeep.9599">https://doi.org/10.32479/ijeep.9599</a></p>https://econjournals.com/index.php/ijeep/article/view/9599
collection DOAJ
language English
format Article
sources DOAJ
author Hugo Briseño
Omar Rojas
spellingShingle Hugo Briseño
Omar Rojas
Factors Associated with Electricity Losses: A Panel Data Perspective
International Journal of Energy Economics and Policy
author_facet Hugo Briseño
Omar Rojas
author_sort Hugo Briseño
title Factors Associated with Electricity Losses: A Panel Data Perspective
title_short Factors Associated with Electricity Losses: A Panel Data Perspective
title_full Factors Associated with Electricity Losses: A Panel Data Perspective
title_fullStr Factors Associated with Electricity Losses: A Panel Data Perspective
title_full_unstemmed Factors Associated with Electricity Losses: A Panel Data Perspective
title_sort factors associated with electricity losses: a panel data perspective
publisher EconJournals
series International Journal of Energy Economics and Policy
issn 2146-4553
publishDate 2020-08-01
description <p>Electricity losses are an important problem worldwide that shuld be mitigated, since they generate an impact on CO<sub>2</sub> emissions and drive a possible rate increase. The benefits of the reduction of such losses are savings, a better environment and less infrastructure needs, amongst others. However, in order to generate reductions, it is imperative to measure the factors associated with such losses. Thus, the objective of this study is to explore the factors associated with electricity losses in the world. A database of 91 countries and 10 years of available data, from 2005 to 2014, was built, with variables taken according to our literature review and obtaind from different publicly available sources. A  panel data model with international information was then tested in order to find the determinants of power losses. The model with the best fit was one with random effects. Our results show that the variables unemployment and crime were significant and positive at one percent, while urbanization and education were significant and negative also at one percent. Finally, we provide some policy implications on the evidence of how electricity losses are associated with low education, high unemployment, high homicide rates, and less urbanization.</p><p><strong>Keywords:</strong> Electricity losses, T&amp;D losses, electricity theft, non-technical losses, power losses, random effects.</p><p><strong>JEL Classifications:</strong> L94, N70, Q41</p><p>DOI: <a href="https://doi.org/10.32479/ijeep.9599">https://doi.org/10.32479/ijeep.9599</a></p>
url https://econjournals.com/index.php/ijeep/article/view/9599
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