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Productivity change and innovation in Norwegian electricity distribution companies

Title
Productivity change and innovation in Norwegian electricity distribution companies
Type
Article in International Scientific Journal
Year
2012
Authors
E. Bjørndal
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
M. Bjørndal
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Journal
Vol. 63 No. 7
Pages: 982-990
ISSN: 0160-5682
Publisher: Taylor & Francis
Indexing
Publicação em ISI Web of Science ISI Web of Science
COMPENDEX
INSPEC
Scientific classification
FOS: Engineering and technology > Other engineering and technologies
CORDIS: Social sciences > Economics > Management studies
Other information
Authenticus ID: P-002-8NP
Abstract (EN): Regulators of electricity distribution networks have typically applied Data Envelopment Analysis (DEA) to cross-section data for benchmarking purposes. However, the use of panel data to analyse the impact of regulatory policies on productivity change over time is less frequent. The main purpose of this paper is to construct a Malmquist productivity index to examine the recent productivity change experienced by Norwegian distribution companies between 2004 and 2007. The Malmquist index is decomposed in order to explore the sources of productivity change, and to identify the innovator companies that pushed the frontier forward each year. The input and output variables considered are those used by the Norwegian regulator. In order to reflect appropriately the exogenous conditions where the companies operate, the efficiency model used in this paper incorporates geography variables as outputs of the DEA model. Unlike the model used by the regulator, we included virtual weight restrictions in the DEA formulation to correct the biases in the DEA results that may be associated to a judicious choice of weights by some of the companies.
Language: English
Type (Professor's evaluation): Scientific
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