Incentive regulation and performance measurement of Taiwan’s incineration plants: an application of the four-stage DEA method

The aim of this paper is to provide a technical efficiency assessment of Taiwan’s incineration plants as the basis of incentive regulation schemes. We integrate the four-stage approach with Simar and Wilson’s (in J Econom 136:31–64, 2007) double bootstrapping to filter out the impacts of external variables in the efficiency measurement. Empirical results show that there is room for 15 % cost reductions and capacity, ownership, location and experience are all influential in improving the performance of these plants. We also demonstrate how the results can be applied to modify a yardstick incentive scheme.

[1]  H. O. Fried,et al.  Accounting for Environmental Effects and Statistical Noise in Data Envelopment Analysis , 2002 .

[2]  Toshiyuki Sueyoshi,et al.  Tariff structure of Japanese electric power companies: An empirical analysis using DEA , 1999, Eur. J. Oper. Res..

[3]  Rajiv D. Banker,et al.  Evaluating Contextual Variables Affecting Productivity Using Data Envelopment Analysis , 2008, Oper. Res..

[4]  Toshiyuki Sueyoshi,et al.  Data envelopment analysis for environmental assessment: Comparison between public and private ownership in petroleum industry , 2012, Eur. J. Oper. Res..

[5]  John Ruggiero,et al.  Non-discretionary inputs in data envelopment analysis , 1998, Eur. J. Oper. Res..

[6]  P. W. Wilson,et al.  Two-stage DEA: caveat emptor , 2011 .

[7]  Daniel Santín,et al.  Alternative approaches to include exogenous variables in DEA measures: A comparison using Monte Carlo , 2009, Comput. Oper. Res..

[8]  Marcelo Resende,et al.  Efficiency measurement and regulation in US telecommunications: A robustness analysis , 2008 .

[9]  Won Yang,et al.  Improvement of operating conditions in waste incinerators using engineering tools. , 2007, Waste management.

[10]  I. Vogelsang Incentive Regulation and Competition in Public Utility Markets: A 20-Year Perspective , 2002 .

[11]  Peter Bogetoft,et al.  DEA and Activity Planning under Asymmetric Information , 2000 .

[12]  Rajiv D. Banker,et al.  The Use of Categorical Variables in Data Envelopment Analysis , 1986 .

[13]  David Hawdon,et al.  Efficiency, performance and regulation of the international gas industry—a bootstrap DEA approach , 2003 .

[14]  Timothy Coelli,et al.  An Introduction to Efficiency and Productivity Analysis , 1997 .

[15]  Harold O. Fried,et al.  Incorporating the Operating Environment Into a Nonparametric Measure of Technical Efficiency , 1999 .

[16]  Per J. Agrell,et al.  DEA and Dynamic Yardstick Competition in Scandinavian Electricity Distribution , 2005 .

[17]  P. W. Wilson,et al.  Estimation and inference in two-stage, semi-parametric models of production processes , 2007 .

[18]  Paul R. Kleindorfer,et al.  Regulatory Economics: Twenty Years of Progress? , 2002 .

[19]  Simon Cowan,et al.  Regulatory Reform: Economic Analysis and British Experience , 1994 .

[20]  Marcelo Resende,et al.  Efficiency and regulatory issues in the Brazilian water and sewage sector: an empirical study , 2004 .

[21]  Aidan R. Vining,et al.  Ownership and Performance in Competitive Environments: A Comparison of the Performance of Private, Mixed, and State-Owned Enterprises , 1989, The Journal of Law and Economics.

[22]  M. Delmas,et al.  Deregulation Process, Governance Structures and Efficiency: The U.S. Electric Utility Sector , 2003 .

[23]  António Afonso CROSS-COUNTRY EFFICIENCY OF SECONDARY EDUCATION PROVISION A SEMI-PARAMETRIC ANALYSIS WITH INPUTS , 2006 .

[24]  David Schap,et al.  Public Enterprise: Retrospective Review and Prospective Theory , 2005 .

[25]  Chen Lin,et al.  Incorporating Service Quality into Yardstick Regulation: An Application to the Peru Water Sector , 2008 .

[26]  Subhash C. Ray,et al.  Data envelopment analysis, nondiscretionary inputs and efficiency: an alternative interpretation , 1988 .

[27]  Rajiv D. Banker,et al.  Efficiency Analysis for Exogenously Fixed Inputs and Outputs , 1986, Oper. Res..

[28]  S. Grosskopf Statistical inference and nonparametric efficiency: A selective survey , 1996 .

[29]  Pedro Simões,et al.  Incentive regulation and performance measurement of the Portuguese solid waste management services , 2009, Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA.

[30]  F. Wilcoxon Individual Comparisons by Ranking Methods , 1945 .

[31]  A. Shleifer,et al.  A Theory of Yardstick Competition , 1985 .

[32]  M. A. Muñiz,et al.  Separating managerial inefficiency and external conditions in data envelopment analysis , 2002, Eur. J. Oper. Res..

[33]  H. Lilliefors On the Kolmogorov-Smirnov Test for Normality with Mean and Variance Unknown , 1967 .

[34]  P. W. Wilson,et al.  Comparing mean efficiency and productivity scores from small samples: A bootstrap methodology , 1995 .

[35]  Subhash C. Ray,et al.  Resource-Use Efficiency in Public Schools: A Study of Connecticut Data , 1991 .

[36]  Peter Bogetoft,et al.  DEA-based yardstick competition: The optimality of best practice regulation , 1997, Ann. Oper. Res..

[37]  Peter M. Bentler,et al.  Practical Issues in Structural Modeling , 1987 .