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Title: Persistent and transient cost efficiency—an application to the Swiss hydropower sector

Abstract

Electricity prices on the European market have decreased significantly over the past few years, resulting in a deterioration of Swiss hydropower firms’ competitiveness and profitability. One option to improve the sector’s competitiveness is to increase cost efficiency. The goal of this study is to quantify the level of persistent and transient cost efficiency of individual firms by applying the generalized true random effects (GTRE) model introduced by Colombi et al. (Journal of Productivity Analysis 42(2): 123–136, 2014) and Filippini and Greene (Journal of Productivity Analysis 45(2): 187–196, 2016). Applying this newly developed GTRE model to a total cost function, the level of cost efficiency of 65 Swiss hydropower firms is analyzed for the period between 2000 and 2013. A true random effects specification is estimated as a benchmark for the transient level of cost efficiency. The results show the presence of both transient as well as persistent cost inefficiencies. The GTREM predicts the aggregate level of cost inefficiency to amount to 21.8% (8.0% transient, 13.8% persistent) on average between 2000 and 2013. These two components differ in interpretation and implication. From an individual firm’s perspective, the two types of cost inefficiencies might require a firm’s management to respond with differentmore » improvement strategies. The existing level of persistent inefficiency could prevent the hydropower firms from adjusting their production processes to new market environments. From a regulatory point of view, the results of this study could be used in the scope and determination of the amount of financial support given to struggling firms.« less

Authors:
 [1]; ORCiD logo [2];  [3]
  1. Centre for Energy Policy and Economics, Zurich (Switzerland). Department of Management, Technology and Economics; University of Lugano (Switzerland). Department of Economics
  2. Centre for Energy Policy and Economics, Zurich (Switzerland). Department of Management, Technology and Economics; Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States). MIT Energy Initiative, Joint Program on the Science and Policy of Global Change
  3. New York University, New York, NY (United States). Department of Economics, Stern School of Business
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1413515
Grant/Contract Number:  
AC05-76RL01830
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Productivity Analysis
Additional Journal Information:
Journal Volume: 49; Journal Issue: 1; Journal ID: ISSN 0895-562X
Publisher:
Springer
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; 29 ENERGY PLANNING, POLICY, AND ECONOMY; 13 HYDRO ENERGY; Efficiency measurement; Stochastic frontier analysis; Persistent and transient cost efficiency; Hydropower

Citation Formats

Filippini, Massimo, Geissmann, Thomas, and Greene, William H. Persistent and transient cost efficiency—an application to the Swiss hydropower sector. United States: N. p., 2017. Web. doi:10.1007/S11123-017-0522-6.
Filippini, Massimo, Geissmann, Thomas, & Greene, William H. Persistent and transient cost efficiency—an application to the Swiss hydropower sector. United States. doi:10.1007/S11123-017-0522-6.
Filippini, Massimo, Geissmann, Thomas, and Greene, William H. Mon . "Persistent and transient cost efficiency—an application to the Swiss hydropower sector". United States. doi:10.1007/S11123-017-0522-6. https://www.osti.gov/servlets/purl/1413515.
@article{osti_1413515,
title = {Persistent and transient cost efficiency—an application to the Swiss hydropower sector},
author = {Filippini, Massimo and Geissmann, Thomas and Greene, William H.},
abstractNote = {Electricity prices on the European market have decreased significantly over the past few years, resulting in a deterioration of Swiss hydropower firms’ competitiveness and profitability. One option to improve the sector’s competitiveness is to increase cost efficiency. The goal of this study is to quantify the level of persistent and transient cost efficiency of individual firms by applying the generalized true random effects (GTRE) model introduced by Colombi et al. (Journal of Productivity Analysis 42(2): 123–136, 2014) and Filippini and Greene (Journal of Productivity Analysis 45(2): 187–196, 2016). Applying this newly developed GTRE model to a total cost function, the level of cost efficiency of 65 Swiss hydropower firms is analyzed for the period between 2000 and 2013. A true random effects specification is estimated as a benchmark for the transient level of cost efficiency. The results show the presence of both transient as well as persistent cost inefficiencies. The GTREM predicts the aggregate level of cost inefficiency to amount to 21.8% (8.0% transient, 13.8% persistent) on average between 2000 and 2013. These two components differ in interpretation and implication. From an individual firm’s perspective, the two types of cost inefficiencies might require a firm’s management to respond with different improvement strategies. The existing level of persistent inefficiency could prevent the hydropower firms from adjusting their production processes to new market environments. From a regulatory point of view, the results of this study could be used in the scope and determination of the amount of financial support given to struggling firms.},
doi = {10.1007/S11123-017-0522-6},
journal = {Journal of Productivity Analysis},
number = 1,
volume = 49,
place = {United States},
year = {2017},
month = {11}
}

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Works referenced in this record:

Transcendental Logarithmic Production Frontiers
journal, February 1973

  • Christensen, Laurits R.; Jorgenson, Dale W.; Lau, Lawrence J.
  • The Review of Economics and Statistics, Vol. 55, Issue 1
  • DOI: 10.2307/1927992

Efficiency Measurement in Network Industries: Application to the Swiss Railway Companies
journal, July 2005

  • Farsi, Mehdi; Filippini, Massimo; Greene, William
  • Journal of Regulatory Economics, Vol. 28, Issue 1
  • DOI: 10.1007/s11149-005-2356-9

A Bayesian stochastic frontier analysis of Chinese fossil-fuel electricity generation companies
journal, March 2015


Technical efficiency in competing panel data models: a study of Norwegian grain farming
journal, September 2012

  • Kumbhakar, Subal C.; Lien, Gudbrand; Hardaker, J. Brian
  • Journal of Productivity Analysis, Vol. 41, Issue 2
  • DOI: 10.1007/s11123-012-0303-1

A Computationally Efficient Quadrature Procedure for the One-Factor Multinomial Probit Model
journal, May 1982

  • Butler, J. S.; Moffitt, Robert
  • Econometrica, Vol. 50, Issue 3
  • DOI: 10.2307/1912613

Reconsidering heterogeneity in panel data estimators of the stochastic frontier model
journal, June 2005


An analysis of factors that influence the technical efficiency of Malaysian thermal power plants
journal, May 2012


The translog function and the substitution of equipment, structures, and labor in U.S. manufacturing 1929-68
journal, March 1973


The measurement and sources of technical inefficiency in the Indonesian weaving industry
journal, August 1981


Efficiency assessment and benchmarking of thermal power plants in India
journal, January 2012


On the estimation of technical inefficiency in the stochastic frontier production function model
journal, August 1982


Economies of scale, technical change and persistent and time-varying cost efficiency in Indian banking: Do ownership, regulation and heterogeneity matter?
journal, July 2017

  • Badunenko, Oleg; Kumbhakar, Subal C.
  • European Journal of Operational Research, Vol. 260, Issue 2
  • DOI: 10.1016/j.ejor.2017.01.025

Fixed and Random Effects in Stochastic Frontier Models
journal, January 2005


Examining the cost efficiency of Chinese hydroelectric companies using a finite mixture model
journal, March 2013


Formulation and estimation of stochastic frontier production function models
journal, July 1977


A Cost Function Approach to the Measurement of Elasticities of Factor Demand and Elasticities of Substitution
journal, May 1974

  • Binswanger, Hans P.
  • American Journal of Agricultural Economics, Vol. 56, Issue 2
  • DOI: 10.2307/1238771

Closed-skew normality in stochastic frontiers with individual effects and long/short-run efficiency
journal, February 2014

  • Colombi, Roberto; Kumbhakar, Subal C.; Martini, Gianmaria
  • Journal of Productivity Analysis, Vol. 42, Issue 2
  • DOI: 10.1007/s11123-014-0386-y

Resource rent taxation and benchmarking—A new perspective for the Swiss hydropower sector
journal, May 2010


Efficiency analysis of hydroelectric generating plants: A case study for Portugal
journal, January 2008


Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error
journal, June 1977

  • Meeusen, Wim; van Den Broeck, Julien
  • International Economic Review, Vol. 18, Issue 2
  • DOI: 10.2307/2525757

Incorporating both undesirable outputs and uncontrollable variables into DEA: The performance of Chinese coal-fired power plants
journal, September 2009


Production frontiers with cross-sectional and time-series variation in efficiency levels
journal, October 1990


The determinants of cost efficiency of hydroelectric generating plants: A random frontier approach
journal, September 2007


Estimation of a Production Frontier Model: with Application to the Pastoral zone of Eastern Australia
journal, December 1977


Performance analysis of US coal-fired power plants by measuring three DEA efficiencies
journal, April 2010


Persistent and transient productive inefficiency: a maximum simulated likelihood approach
journal, April 2015


Evaluation of thermal power plant operational performance in Taiwan by data envelopment analysis
journal, February 2010


An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias
journal, June 1962


Economies of scale in the Swiss hydropower sector
journal, December 2007