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3rd International Workshop on Innovation3rd International Workshop on Innovationand Performance Managementand Performance Management
University of Kent, UKUniversity of Kent, UK1-4 July 20101-4 July 2010
WHY DEA WEIGHTS ARE OFTEN WHY DEA WEIGHTS ARE OFTEN WRONGLY CALCULATED AND WHAT WRONGLY CALCULATED AND WHAT
CAN BE DONE ABOUT ITCAN BE DONE ABOUT IT
Cecilio Mar MolineroCecilio Mar Molinero, , Kent Business School, UKKent Business School, UK
Fabiola PortilloFabiola Portillo, , University of La Rioja, SpainUniversity of La Rioja, Spain
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 2
SummarySummary Production and frontier functions Properties of efficient points The Linear Programming formulation Degeneracy and its graphical interpretation Proposed solution An example Models for non-homogeneous organisations
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 3
IsoquantsIsoquants
Production and frontier functionsProduction and frontier functions
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 4
Budget functionsBudget functions
Production and frontier functionsProduction and frontier functions
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 5
Production possibility frontierProduction possibility frontier
Production and frontier functionsProduction and frontier functions
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 6
Returns lineReturns line
Production and frontier functionsProduction and frontier functions
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 7
DEA-CCR ModelDEA-CCR Model
The Linear Programming formulationThe Linear Programming formulation
R......,1 0
J......,1 0
N......,1 1
1
1
1
1
1
1
1
1
1
,ru
,j v
,i
xu
yv
xu
yv
yv:a.s
xu
yv
e
r
j
R
rirr
J
jijj
R
rorr
J
jojj
J
jojj
R
rorr
J
jojj
ojr v,u
Max
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 8
Empirical IsoquantEmpirical Isoquant
Degeneracy and its graphical interpretationDegeneracy and its graphical interpretation
O
x1
Q’( )
Q’( )
x2
A
B
C
DE
y
y
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 9
Empirical IsoquantEmpirical Isoquant
Degeneracy and its graphical interpretationDegeneracy and its graphical interpretation
O
x1
Q’( )
Q’( )
x2
A
B
C
DE
Technically and economically efficient points
y
y
y
y
O
x1
Q’( )
Q’( )
x2
A
B
C
DE
Technically and economically efficient points
y
y
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 10
Empirical IsoquantEmpirical Isoquant
Degeneracy and its graphical interpretationDegeneracy and its graphical interpretation
O
x1
Q’( )
Q’( )
x2
A
B
C
DETechnically and
economically efficient points
y
y
y
y
O
x1
Q’( )
Q’( )
x2
A
B
C
DETechnically and
economically efficient points
y
y
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 11
The geometry of degeneracyThe geometry of degeneracy
Degeneracy and its graphical interpretationDegeneracy and its graphical interpretation
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 12
The geometry of degeneracyThe geometry of degeneracy
Degeneracy and its graphical interpretationDegeneracy and its graphical interpretation
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 13
The geometry of degeneracyThe geometry of degeneracy
Degeneracy and its graphical interpretationDegeneracy and its graphical interpretation
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 14
The geometry of degeneracyThe geometry of degeneracy
Degeneracy and its graphical interpretationDegeneracy and its graphical interpretation
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 15
Budget line associated with marginal valuesBudget line associated with marginal values
Proposed solutionProposed solution
y
y
y
y
y
y
O
x1
Q’( )
Q’( )
x2
A
B
C
DE
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 16
Budget line associated with marginal valuesBudget line associated with marginal values
Proposed solutionProposed solution
y
y
y
y
y
y
O
x1
Q’( )
Q’( )
x2
A
B
C
DE
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 17
O
x1
Q’( )
Q’( )
x2
A
B
C
DE
Budget line associated with marginal valuesBudget line associated with marginal values
Proposed solutionProposed solution
y
y
y
y
y
y
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 18
Fuente: Beasley(1995)
Dual values associated with the university of Essex
Example: Example: Chemistry departments in UK UniversitiesChemistry departments in UK Universities
Universidad
Transferencias
corrientes
Ingresos por
investigaciones
Numero de estudiantes de carrera
Numero de estudiantes postgrado.
Exeter Cardiff Brunel
Durham Kent Essex
931 483 490 986 714 585
293 531 106 776 269 353
191 117 91 203 132 80
20 23 21 32 24 27
University Basic Research Grant income
Under- Post- graduate graduate students students
Variable
Solución 1
Solución 2
Solución 3
Final
u1 u2 v1 v2
0.00157 0.00023 0.00058 0.03532
0.00165 0.00011 0 0.03723
0.00152 0.00032 0 0.03715
0.00164 0.00012 0.00058 0.03532
Solution 1 Solution 2 Solution 3
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 19
The end?
3rd International Workshop on Innovation3rd International Workshop on Innovationand Performance Managementand Performance Management
University of Kent, UKUniversity of Kent, UK1-4 July 20101-4 July 2010
NON-HOMOGENEITY IN DATA NON-HOMOGENEITY IN DATA ENVELOPMENT ANALYSISENVELOPMENT ANALYSIS
Cecilio Mar MolineroCecilio Mar Molinero, , Kent Business School, University of Kent, UKKent Business School, University of Kent, UK
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 21
SummarySummary Production and frontier functions Properties of efficient points The Linear Programming formulation Degeneracy and its graphical interpretation Proposed solution An example Models for non-homogeneous organisations
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 22
Teaching and ResearchTeaching and Research
Models for non-homogeneous organisationsModels for non-homogeneous organisations
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 232323Cecilio Mar Molinero- UPCCecilio Mar Molinero- UPC
— An equation for the T function
— An equation for the R function
— An equation for the overall unit to be assessed
— To be efficient you need to be efficient at each activity and efficient overall
Models for non-homogeneous organisationsModels for non-homogeneous organisations
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 24
―This model was used forThis model was used for
NHS trusts in the UKNHS trusts in the UK
Police forces in SpainPolice forces in Spain
Railways in the US (not published) and TaiwanRailways in the US (not published) and Taiwan
Information system architectureInformation system architecture
― There has been a review paper in 2010There has been a review paper in 2010
― It is non-linear in the constraints and It is non-linear in the constraints and “simplifications” have been published.“simplifications” have been published.
― Not related to Network DEA (Fare and Not related to Network DEA (Fare and Grosskopft) as both models are Grosskopft) as both models are contemporaneous.contemporaneous.
Models for non-homogeneous organisationsModels for non-homogeneous organisations
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 25
― The model is homogeneous: all units The model is homogeneous: all units use the same inputs to produce the same use the same inputs to produce the same outputs, and have the same internal outputs, and have the same internal structure.structure.
― Properties studied by means of Kuhn Properties studied by means of Kuhn Tucker theory.Tucker theory.
― To progress we need to look at To progress we need to look at envelopment formulation for DEAenvelopment formulation for DEA
Models for non-homogeneous organisationsModels for non-homogeneous organisations
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 26
Models for non-homogeneous organisationsModels for non-homogeneous organisations
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 27
Unit of assessment that engages only in one activityUnit of assessment that engages only in one activity
Models for non-homogeneous organisationsModels for non-homogeneous organisations
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 28
Models for non-homogeneous organisationsModels for non-homogeneous organisations
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 29
Example: Socially responsible financial Example: Socially responsible financial institutions in Boliviainstitutions in Bolivia
Models for non-homogeneous organisationsModels for non-homogeneous organisations
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 30
―Example: Socially responsible Example: Socially responsible financial institutions in Boliviafinancial institutions in Bolivia
―In Ross Wyatt’s PhD we looked at In Ross Wyatt’s PhD we looked at efficiency in various types of financial efficiency in various types of financial institutions in Bolivia: NGOs, Building institutions in Bolivia: NGOs, Building Societies, Consumer Cooperatives, Societies, Consumer Cooperatives, Commercial Banks, and so on.Commercial Banks, and so on.
―These make microcredit loans, These make microcredit loans, mortgage loans, commercial loans, and mortgage loans, commercial loans, and consumer loans.consumer loans.
Models for non-homogeneous organisationsModels for non-homogeneous organisations
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 31
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 32
―The idea can be extended to activities that The idea can be extended to activities that take place in sequence: supply chains are the take place in sequence: supply chains are the obvious example.obvious example.
―In this case we are not interested in In this case we are not interested in specialisation versus diversification, but in vertical specialisation versus diversification, but in vertical integration.integration.
―The model allows for The model allows for
outsourcingoutsourcing
selling partly manufactured componentsselling partly manufactured components
buying intermediate componentsbuying intermediate components
Models for non-homogeneous organisationsModels for non-homogeneous organisations
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 33
―Example from Huiling Zhao’s PhD: Example from Huiling Zhao’s PhD: Primary schools in Kent.Primary schools in Kent.
Children in Kent can attend school from Children in Kent can attend school from ages four to seven (infant schools) and from ages four to seven (infant schools) and from the ages of seven to eleven (middle the ages of seven to eleven (middle schools).schools).
They can also attend schools from ages They can also attend schools from ages four to eleven (primary schools).four to eleven (primary schools).
Taking into account poverty (free meals), Taking into account poverty (free meals), special needs incidence, and funding, which special needs incidence, and funding, which system delivers the best test results at 11?system delivers the best test results at 11?
Models for non-homogeneous organisationsModels for non-homogeneous organisations
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 34
Models for non-homogeneous organisationsModels for non-homogeneous organisations
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 35
Models for non-homogeneous organisationsModels for non-homogeneous organisations
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 36
Models for non-homogeneous organisationsModels for non-homogeneous organisations
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 37
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 38
Models for non-homogeneous organisationsModels for non-homogeneous organisations
3rd International Workshop on Innovation and Performance Management, University of Kent, UK, 1-4 July 2010 39
Questions?Questions?
Models for non-homogeneous organisationsModels for non-homogeneous organisations