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Efficiency in Swedish Power Grids: A Two-Stage Double Bootstrap DEA Approach for Estimating the Effects from Environmental Variables
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Economics.
2018 (English)Independent thesis Advanced level (degree of Master (Two Years)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This paper uses a two-stage Data Envelopment Analysis approach to model the technical efficiency among the ~150 local electricity grids in Sweden. The analysis sets out to capture their heterogeneous environment and firm characteristics that might affect their efficiency. A novel aspect in this paper is the inclusion of the shares of distributed power from Small- and Micro-Scale producers such as wind farms and solar panels as environmental variables. To draw inference on how the environmental and firm specific factors affect the firms operatingthe grids, a Double Bootstrap Approach is employed. This is accompanied and compared tomore naïve modelling approaches often used in the literature. The general findings in this paper are that Density, the Fraction of Wires underground and Small-Scale production is associated with higher efficiency as well as large geographical differences. The policy implications from this study are that the regulator should incentivise firms to increase their share of wires that are underground but it also presents a modelling framework for future studies of power grids and other regulated industries.

Place, publisher, year, edition, pages
2018.
National Category
Economics
Identifiers
URN: urn:nbn:se:umu:diva-149852OAI: oai:DiVA.org:umu-149852DiVA, id: diva2:1228355
Available from: 2018-06-28 Created: 2018-06-28 Last updated: 2018-06-28Bibliographically approved

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Citation style
  • apa
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  • de-DE
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  • en-US
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  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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