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Training on Regulation A webinar for the European Copper Institute Webinar 6: Efficiency Assessments Dr. Konstantin Petrov / Dr. Daniel Grote 11.1.2009
Agenda 11/01/2010 a)  TOTEX versus OPEX benchmarking 3.  Application of efficiency results a)  Overview 2.  Methods for efficiency assessments c)  Data Envelopment Analysis b)  Performance indicators b)  Efficiency convergence speed 1.  Why measure efficiency? c)  Supporting schemes e)  Virtual network models d)  Parametric Approaches
1. Why measure efficiency? 11/01/2010 ,[object Object],[object Object],Major Reasons Cap regulation Actual Cost Current price level Current price + Inflation Current price + Inflation – productivity growth Efficiency gains time Influenced by company Influenced by company Set by regulator
1. Why measure efficiency? 11/01/2010 Definition of efficiency  Efficiency =  Outputs Inputs + “ Correction for Environment” Distribution Company e.g. # employees, fuel, operational costs,  Input Factors e.g. # customers, delivered energy (kWh), peak load (kW) Output Factors e.g. firm size, network topology, climate, topography, terrain, task complexity  Environmental Factors
1. Why measure efficiency? 11/01/2010 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Reasons for efficiency changes
1. Why measure efficiency? 11/01/2010 Efficiency assessment and price control Efficiency Assessment Efficiency  Scores Efficiency  Improvement  Targets Integration in  Price  Control Allowed Revenue (Tariffs) Efficiency Interface Benchmarking ,[object Object],[object Object],[object Object],[object Object],[object Object],Conversion ,[object Object],[object Object],[object Object],[object Object],Integration ,[object Object],[object Object],[object Object],[object Object]
1. Why measure efficiency? 11/01/2010 Practical Relevance of Benchmarking and the X-factor ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
2. Methods for efficiency assessments 11/01/2010 Overview (1) Benchmarking Methods Partial Methods Total Methods Non-parametric Parametric Reference Networks (Virtual Networks) Index Methods Data Envelopment Analysis (DEA) Stochastic Frontier Analysis (SFA) Ordinary Least Squares (OLS)  Corrected Ordinary Least Squares (COLS)  Total Factor Productivity (TFP) Uni-dimensional ratios Performance Indicators Linear programming Econometrics Engineering Models Total methods can be based on the average performance or the efficient frontier of comparable companies
2. Methods for efficiency assessments 11/01/2010 Overview (2) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
2. Methods for efficiency assessments 11/01/2010 Overview (3) Efficiency Score A  B  C  D E Measures of relative inefficiencies towards best performance   Conversion (definition of efficiency increase targets) Companies
2. Methods for efficiency assessments 11/01/2010 Performance Indicators ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
2. Methods for efficiency assessments 11/01/2010 Index methods – Total Factor Productivity (TFP) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Input factors Output factors
2. Methods for efficiency assessments 11/01/2010 Frontier methods ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
2. Methods for efficiency assessments 11/01/2010 Data Envelopment Analysis (DEA) (1) Output 1 Input 1 Input 2 Data Envelope A B C D E most efficient companies F F’ Inefficiency Input minimisation Inefficiency Output 2 Data Envelope A B C D E F most efficient companies F’ Output maximisation G G’
2. Methods for efficiency assessments 11/01/2010 Data Envelopment Analysis (DEA) (2) ,[object Object],[object Object],[object Object],Outputs Inputs A B C constant returns to scale frontier variable returns to scale frontier F F’
2. Methods for efficiency assessments 11/01/2010 Data Envelopment Analysis (DEA) (3) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
2. Methods for efficiency assessments 11/01/2010 Data Envelopment Analysis (DEA) (4) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
2. Methods for efficiency assessments 11/01/2010 Parametric / Econometric approaches – Regression analysis Corrected OLS (COLS) Ordinary Least Square (OLS) Most efficient observation  Input (Costs) Output Stochastic Frontier Analysis (SFA)
2. Methods for efficiency assessments 11/01/2010 Ordinary Least Squares (OLS) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
2. Methods for efficiency assessments 11/01/2010 Corrected Ordinary Least Squares (COLS) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
2. Methods for efficiency assessments 11/01/2010 Stochastic Frontier Analysis (SFA) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
2. Methods for efficiency assessments 11/01/2010 Virtual network models ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
3. Application of efficiency results 11/01/2010 TOTEX versus OPEX benchmarking ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
3. Application of efficiency results ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],TOTEX versus OPEX benchmarking
3. Application of efficiency results 11/01/2010 Efficiency convergence speed ,[object Object],[object Object],[object Object],[object Object],Allowed revenue Initial level Initial one-off cut 1 2 3 4 5 Regulatory period Proportional decrease
3. Application of efficiency results 11/01/2010 Supporting Schemes ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Germany (2009-2013) Norway (1997-2001) KA b,0 Year 1  Year 10 KA dnb,t Permanently  Controllable  costs (base year) KA vnb,0 Temporary non - controllable costs Max. 60% of total costs after deducting of  (permanently) non-controllable cost (proportionally over 10 years) - non-controllable costs - 15% Profit floor level (tariff increase) Profit cap level (tariff reduction)) Dead band 8,3% 2 % Profit floor level (tariff increase) Profit cap level (tariff reduction)) Dead band
Summary ,[object Object],[object Object],[object Object],[object Object]
End of webinar 6 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Regulation A webinar efficiency assessment methods

  • 1. Training on Regulation A webinar for the European Copper Institute Webinar 6: Efficiency Assessments Dr. Konstantin Petrov / Dr. Daniel Grote 11.1.2009
  • 2. Agenda 11/01/2010 a) TOTEX versus OPEX benchmarking 3. Application of efficiency results a) Overview 2. Methods for efficiency assessments c) Data Envelopment Analysis b) Performance indicators b) Efficiency convergence speed 1. Why measure efficiency? c) Supporting schemes e) Virtual network models d) Parametric Approaches
  • 3.
  • 4. 1. Why measure efficiency? 11/01/2010 Definition of efficiency Efficiency = Outputs Inputs + “ Correction for Environment” Distribution Company e.g. # employees, fuel, operational costs, Input Factors e.g. # customers, delivered energy (kWh), peak load (kW) Output Factors e.g. firm size, network topology, climate, topography, terrain, task complexity Environmental Factors
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  • 8. 2. Methods for efficiency assessments 11/01/2010 Overview (1) Benchmarking Methods Partial Methods Total Methods Non-parametric Parametric Reference Networks (Virtual Networks) Index Methods Data Envelopment Analysis (DEA) Stochastic Frontier Analysis (SFA) Ordinary Least Squares (OLS) Corrected Ordinary Least Squares (COLS) Total Factor Productivity (TFP) Uni-dimensional ratios Performance Indicators Linear programming Econometrics Engineering Models Total methods can be based on the average performance or the efficient frontier of comparable companies
  • 9.
  • 10. 2. Methods for efficiency assessments 11/01/2010 Overview (3) Efficiency Score A B C D E Measures of relative inefficiencies towards best performance Conversion (definition of efficiency increase targets) Companies
  • 11.
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  • 14. 2. Methods for efficiency assessments 11/01/2010 Data Envelopment Analysis (DEA) (1) Output 1 Input 1 Input 2 Data Envelope A B C D E most efficient companies F F’ Inefficiency Input minimisation Inefficiency Output 2 Data Envelope A B C D E F most efficient companies F’ Output maximisation G G’
  • 15.
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  • 18. 2. Methods for efficiency assessments 11/01/2010 Parametric / Econometric approaches – Regression analysis Corrected OLS (COLS) Ordinary Least Square (OLS) Most efficient observation Input (Costs) Output Stochastic Frontier Analysis (SFA)
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