Regionalized Discount Rate to Evaluate Renewable Energy Projects in Colombia

<p>In this paper we are interested in estimating the discount rate for electricity generation projects using renewable resources. More precisely we estimate the weighted average cost of capital (WACC). One of the most important feature of this research is that our WACC must be differentiated b...

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Main Authors: Jorge Barrientos Marín, Fernando Villada
Format: Article
Language:English
Published: EconJournals 2020-01-01
Series:International Journal of Energy Economics and Policy
Online Access:https://www.econjournals.com/index.php/ijeep/article/view/8924
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spelling doaj-9888c9d8b7bc42beaaebcec88cab0a7b2020-11-25T03:39:27ZengEconJournalsInternational Journal of Energy Economics and Policy2146-45532020-01-011023323364347Regionalized Discount Rate to Evaluate Renewable Energy Projects in ColombiaJorge Barrientos Marín0Fernando VilladaUniversity of Antioquia<p>In this paper we are interested in estimating the discount rate for electricity generation projects using renewable resources. More precisely we estimate the weighted average cost of capital (WACC). One of the most important feature of this research is that our WACC must be differentiated by regions, which is a challenging purpose taking into account that Colombia is a country with many regions that greatly differ among themselves. This goal requires estimating a risk parameter for each region, in this case for each state of the country, which would have the immediate effect of regionalizing the WACC for renewables non-conventional generation energy projects. it is worth noting that the emerging market bond index (EMBI+) is not a useful measurement of risk at regional level, so we have to look for a variables set in order to capture that risk. We propose to consider variables associated with corruption and violence levels in each state of the country in order to identify regional WACC.</p><p><strong>Keywords: </strong>electricity generation, renewable energy resources, weighted average cost of capital, country and regional risk.</p><p><strong>JEL Classifications</strong>: C21, G11, G12, G18, Q33, Q42</p><p>DOI: <a href="https://doi.org/10.32479/ijeep.8924">https://doi.org/10.32479/ijeep.8924</a></p>https://www.econjournals.com/index.php/ijeep/article/view/8924
collection DOAJ
language English
format Article
sources DOAJ
author Jorge Barrientos Marín
Fernando Villada
spellingShingle Jorge Barrientos Marín
Fernando Villada
Regionalized Discount Rate to Evaluate Renewable Energy Projects in Colombia
International Journal of Energy Economics and Policy
author_facet Jorge Barrientos Marín
Fernando Villada
author_sort Jorge Barrientos Marín
title Regionalized Discount Rate to Evaluate Renewable Energy Projects in Colombia
title_short Regionalized Discount Rate to Evaluate Renewable Energy Projects in Colombia
title_full Regionalized Discount Rate to Evaluate Renewable Energy Projects in Colombia
title_fullStr Regionalized Discount Rate to Evaluate Renewable Energy Projects in Colombia
title_full_unstemmed Regionalized Discount Rate to Evaluate Renewable Energy Projects in Colombia
title_sort regionalized discount rate to evaluate renewable energy projects in colombia
publisher EconJournals
series International Journal of Energy Economics and Policy
issn 2146-4553
publishDate 2020-01-01
description <p>In this paper we are interested in estimating the discount rate for electricity generation projects using renewable resources. More precisely we estimate the weighted average cost of capital (WACC). One of the most important feature of this research is that our WACC must be differentiated by regions, which is a challenging purpose taking into account that Colombia is a country with many regions that greatly differ among themselves. This goal requires estimating a risk parameter for each region, in this case for each state of the country, which would have the immediate effect of regionalizing the WACC for renewables non-conventional generation energy projects. it is worth noting that the emerging market bond index (EMBI+) is not a useful measurement of risk at regional level, so we have to look for a variables set in order to capture that risk. We propose to consider variables associated with corruption and violence levels in each state of the country in order to identify regional WACC.</p><p><strong>Keywords: </strong>electricity generation, renewable energy resources, weighted average cost of capital, country and regional risk.</p><p><strong>JEL Classifications</strong>: C21, G11, G12, G18, Q33, Q42</p><p>DOI: <a href="https://doi.org/10.32479/ijeep.8924">https://doi.org/10.32479/ijeep.8924</a></p>
url https://www.econjournals.com/index.php/ijeep/article/view/8924
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