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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 |
| Resumen: | 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 signicant correlation was found between the DEA efciency scores and the non-discretionary variables. This study evaluates the sta tistical correlation between the DEA efciency scores and the available environmental variables. Spatial statistic methods are used to show that the efciency scores are geographically correlated. Furthermore, due to Brazil's environmental diversity and large territory it is unlikely that only one environmental component is sufcient to adjust inefciencies 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 efciency scores, mainly for utilities located in harsh environments and which originally achieved lower efciency scores |
| Asunto: | Energia |
| Idioma: | eng |
| País: | Brasil |
| Editor: | Universidade Federal de Minas Gerais |
| Sigla da Institución: | UFMG |
| Departamento: | ENG - DEPARTAMENTO DE ENGENHARIA PRODUÇÃO FCE - DEPARTAMENTO DE CIÊNCIAS ADMINISTRATIVAS ICX - DEPARTAMENTO DE ESTATÍSTICA |
| Tipo de acceso: | Acesso Restrito |
| Identificador DOI: | 10.1016/j.eneco.2017.04.009 |
| URI: | http://hdl.handle.net/1843/48858 |
| Fecha del 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 en las colecciones: | Artigo de Periódico |
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