Productive Efficiency in the Steam-Electric Generating Industry

Seitz, Wesley D.

doi:10.1086/259794

Cited by 79 publications

(32 citation statements)

References 3 publications

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“…Output is the annual net power produced by each generating unit, measured in megawatt hours (MWh). Productivity in electricity generation has been traditionally calculated using these variables (Seitz, 1971, Färe et al, 1985, Pollitt, 1995, Coelli et al 1998, and assuming that the plants' objective is to minimise inputs for a given level of output. We report the results of such a conventional analysis of our data in the next section.…”

Section: Data and Resultsmentioning

confidence: 99%

Generating efficiency: economic and environmental regulation of public and private electricity generators in Spain

Arocena

Price

2002

International Journal of Industrial Organization

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Economic regulation of firms with market power has placed increasing emphasis on incentive-based regulation such as price caps. We focus on the effect of regulation as distinct from ownership, and identify the effect of two different regulatory schemes on both publicly and privately owned Spanish electricity generators. Publicly owned generators were more efficient under cost of service regulation; private (but not public) firms responded to incentive regulation by increasing efficiency, bringing their productivity to similar levels. We introduce some novelty in modelling efficiency, including three pollutants and declared plant availability as outputs, and we test for the effect of environmental regulation in reducing pollutants.

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Section: Data and Resultsmentioning

confidence: 99%

Generating efficiency: economic and environmental regulation of public and private electricity generators in Spain

Arocena

Price

2002

International Journal of Industrial Organization

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“…DEA was first introduced and formalized in linear programming by Seitz (1971) for multiinputs and single output cases. Later, Charnes et al (1978) proposed a multi-inputs and multi-outputs DEA model based on the assumption of constant returns to scale implying that firms are operating at optimal scale.…”

Section: Methodsmentioning

confidence: 99%

Branch expansion and banking efficiency in Sri Lanka’s post‐conflict era

Thilakaweera

Harvie

Arjomandi

2016

Journal of Asian Economics

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This study assesses changes in the technical efficiency of commercial banks in Sri Lanka following the end of armed conflict in 2009. The weighted aggregate-efficiency technique, based on a group-wise heterogeneous subsampling bootstrap approach, is employed to compare efficiency levels during the periods 2007-2009 and 2010-2013. This technique allows for heterogeneity in environmental and regulatory conditions between the two periods while assuming homogeneity within each period. Our results reveal that the banking sector experienced a significant efficiency improvement post-conflict even with unprecedented branch expansion. The findings, therefore, controvert the mainstream view that bank efficiency declined with rapid industry expansion. Further, we conclude that geographical expansion of the banking sector is a viable and effective policy tool to achieve broad-based and inclusive growth for emerging economies like Sri Lanka, particularly in a period of post-conflict recovery.

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“…The use of linear programming by Farrell influenced research by Boles (1966), Bressler (1966), Seitz (1966) and Sitorus (1966) and eventually the development of Data Envelopment Analysis (DEA) by Charnes, Coopers and Rhodes (1978). The influence from Farrell is also definite for the works by Aigner and Chu (1968), Seitz (1971), Timmer (1971), Afriat (1972) and Richmond (1974) -direct collaborators for the SFA development.…”

Section: Stochastic Frontier Analysis -Sfamentioning

confidence: 94%

Econometric Inefficiency Estimates in a Competitive Environment

Rivera

Costantin

Martin

2008

RECADM

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The objective of this paper is to apply a Cobb-Douglas, Translog Stochastic Production Function and Data Envelopment Analysis -particularly the Malmquist index -in order to estimate increases or decreases of inefficiencies over time as well as the sources of TFP changes for the main Brazilian grain crops -namely, rice, beans, maize, soybeans and wheat -throughout the most recent data available comprising the period [2001][2002][2003][2004][2005][2006]. According to the Cobb Douglas model, the greatest elasticity presented is that of harvested area, followed by agricultural credit and limestone. The Translog production function presents an amelioration of aggregate productivity over time and, in a decreasing order, the Brazilian regions that have presented the greatest relative degree of efficiency are the Northeast, North, Southeast, South and Center-West regions. The results indicate that, although there have been positive changes in TFP for the sample analyzed, a decline in the use of technology has been evidenced for all the principal Brazilian grain crops between 2005/2007 -period in which we observe a remarkable downfall in the use of inputs in Brazilian agriculture.

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Productive Efficiency in the Steam-Electric Generating Industry

Cited by 79 publications

References 3 publications

Generating efficiency: economic and environmental regulation of public and private electricity generators in Spain

Generating efficiency: economic and environmental regulation of public and private electricity generators in Spain

Branch expansion and banking efficiency in Sri Lanka’s post‐conflict era

Econometric Inefficiency Estimates in a Competitive Environment

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