Spatial statistical methods applied to the 2015 brazilian energy distribution benchmarking model: accounting for unobserved determinants of inefficiencies

Guilherme Dôco Roberti Gil; Marcelo Azevedo Costa; Ana Lúcia Miranda Lopes; Vinícius Diniz Mayrink

Use este identificador para citar ou linkar para este item: http://hdl.handle.net/1843/48858

Tipo:	Artigo de Periódico
Título:	Spatial statistical methods applied to the 2015 brazilian energy distribution benchmarking model: accounting for unobserved determinants of inefficiencies
Autor(es):	Guilherme Dôco Roberti Gil Marcelo Azevedo Costa Ana Lúcia Miranda Lopes Vinícius Diniz Mayrink
Resumo:	In 2015 the Brazilian regulator presented a DEA benchmarking model to set the regulatory operational cost goals, to be reached in four years for 61 electricity distribution utilities. The DEA model uses: adjusted operational cost as the input variable, seven output variables and weight restrictions. Although non-discretionary variables or en vironmental variables are available in the dataset, the regulator argued that no statistically signicant correlation was found between the DEA efciency scores and the non-discretionary variables. This study evaluates the sta tistical correlation between the DEA efciency scores and the available environmental variables. Spatial statistic methods are used to show that the efciency scores are geographically correlated. Furthermore, due to Brazil's environmental diversity and large territory it is unlikely that only one environmental component is sufcient to adjust inefciencies across the Brazilian territory. Thus, a new combined environmental variable is proposed. Finally, a second stage model using the proposed environmental variable and accounting for a spatial latent struc ture is presented. Results show major differences between original and corrected efciency scores, mainly for utilities located in harsh environments and which originally achieved lower efciency scores
Assunto:	Energia
Idioma:	eng
País:	Brasil
Editor:	Universidade Federal de Minas Gerais
Sigla da Instituição:	UFMG
Departamento:	ENG - DEPARTAMENTO DE ENGENHARIA PRODUÇÃO FCE - DEPARTAMENTO DE CIÊNCIAS ADMINISTRATIVAS ICX - DEPARTAMENTO DE ESTATÍSTICA
Tipo de Acesso:	Acesso Restrito
Identificador DOI:	10.1016/j.eneco.2017.04.009
URI:	http://hdl.handle.net/1843/48858
Data do documento:	2017
metadata.dc.url.externa:	http://www.sciencedirect.com/science/article/pii/S0140988317301160doi:10.1016/j.eneco.2017.04.009
metadata.dc.relation.ispartof:	Energy Economics
Aparece nas coleções:	Artigo de Periódico

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