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Data
Envelopment
Analysis
(DEA)數(shù)據(jù)包絡(luò)分析Over
4000
published
articlesfrom
1978
to
2021DEAWhat
it
isConceptsFarrell
measures
of
EfficiencytechnicalallocativescaleRunning
DEADangers
of
DEA◆Data
Envelopment
Analysis
(DEA)This
method
is
a
special
but
importantapplication
of
linear
programming.DEA
is
widely
applied
to
evaluate
theperformance
of
Decision
Making
Units(DMUs)
such
as
private
firms,
publicagencies,
schools,
and
hospitals.Important
FeaturesEfficiency
(Productivity)
ManagementRelative
Measure
vs.
Absolute
Measure(Social
Science)
(Natural
Science)Multi-Dimensional
Analysisvs.
Cost
/
Benefit
Analysis(1)
Relative
Comparison(2)
Multiple
Inputs
and
Outputs(3)
Efficiency
Measurement
(0%-100%)
(4)
Avoid
the
Specification
Error
betweenInputs
and
Outputs(5)
Production/Cost
AnalysisImportant
FeaturesData
Envelopment
Analysis
(DEA)
A
mathematical
optimisation
techniquewhere
the
unknown
variablesaretheweightsWork
through
some
examples
to
explain
Start
with
a
simpleexample
of
8
similarorganisations
(decision
making
unitsDMUs)
producing
two
outputs
using
asingle
inputConcepts0
1
2
3
4
5
6
7
8
9Table
1.
Single
Input
and
Single
Output
Case654Sales3210EmployeeFigure
1.
Comparisons
of
Branch
StoresEfficiencyFrontierABCDFGEH0
1
2
3
4
5
6
7
8
9EfficiencyFrontierACB
DFGEHRegression
LineEmployeeFigure
2.
Regression
Line
vs.
Frontier
LineB:
the
best
storeThe
efficiency
of
the
other
stores
are
determin1
=
B
>
E
>
D>
C
>
H
>
A
=
G
>
F
=
0.4654Sales3210Table
2.
Efficiency0
12
3
4Employee43Sales210Figure
3.
Improvement
of
Store
AA1ABA2Table
3.
Two
Inputs
and
One
Output
CaseFigure
4.
Two
Inputs
and
One
Output
CaseProduction
Possibility
SetEfficient
FrontiersAEDCH
IFGB014553Area/Sales20
1
2
3
4Employee/SalesFigure
5.
Improvement
of
Store
AADEA1PTable
4.
One
Input
and
Two
Outputs
CaseProduction
Possibility
SetFigure
6.
One
Input
and
Two
Outputs
CaseDMUInputOut1Out2O1/IO2/I145450451012555281769.63.2375525525774601925763.29.6510010010001106552453304.5675516516533890450360549603603006510563641966.53.511611534152.56.812603301205.52誰最有效?W1=1
,
W2=0W1=1
,
W2=0W1=0
,
W2=1W1=0
,
W2=1W1=0.5
,
W2=0.5W1=0.5
,
W2=0.5W1=0.75
,
W2=0.25W1=0.75
,
W2=0.25W1=0.25
,
W2=0.75W1=0.25
,
W2=0.75樣本與實(shí)際Solid
lines
connectiDMUs
1,2,3,4,5Represents
anefficiency
frontierproduction
possibilicurve.Contrast
with“theoretical
fronti(broken
curve)
–
DEAefficiency
is
relatithe
sample
–
but
is
obest
estimateEfficiencies
for
all
DMUsmust
not
exceed
100%10.0
w1
+
1.0
w2
<=1
unit
19.6
w1
+
3.2
w2
<=
1
unit
27.0
w1
+
7.0
w2
<=
1
unit
33.2
w1
+
9.6
w2
<=
1
unit
41.0
w1
+
10.0
w2
<=
1
unit
54.5
w1
+
6.0
w2
<=
1
unit
63.2
w1
+
3.2
w2
<=
1
unit
75.0
w1
+
4.0
w2
<=
1
unit
86.0
w1
+
5.0
w2
<=1
unit
96.5
w1
+
3.5
w2
<=
1
unit
102.5
w1
+
6.8
w2
<=
1
unit
115.5
w1
+
1.5
w2
<=1
unit
12w1,
w2
>=
0生產(chǎn)可能集合的形成Max
10w1
+
1
w2St
10
w1
+
1
w2
=
1(only
active
constraintAnd
all
otherconstraints
inactiveA
solution:
w1
=0.1,
w2
=010w1
+
1w2
=
1.0(100%
efficient)DMU1DMU6Max
4.5
w1
+
6.0
w2
St
7.0
w1
+
7.0
w2
=
1
(activeconstraint
3)3.2
w1
+
9.6
w2
=
1
(activeconstraint
4)
And
all
other
constraintsinactiveUnique
solution:
w1=0.05803,
w2
=0.08484.5
w1
+
6.0
w2
=
0.77Peers
are
DMUs
3
and
4DMU6DEA
softwareFree
softwareEMS
–Holger
Scheel
DEA
---
Free
downloadDEAP
–
Tim
Coelli
–Free
downloadOther
softwareSaitech
–
Cooper,
Seiford
and
Tone
softwareFrontier
AnalysisWarwick
DEAEMQC
-
Fare
and
Grosskopf中文MaxDEALP
FormulationTable
5.
Hospital
CaseEfficiency
of
the
j
th
DMUEfficiency
of
the
j
th
DMUNow,
assuming
that
Hospital
(B)
is
evaluated
byDEA,
we
haveMaxs.t.Maxs.t.Efficiency
of
the
k
th
DMUMaxs.t.根本問題的一般表述DMU
DMU1
2DMUnx
11X21v1v2…………x12x22……x
1nX
2n……vmxm1xm2xmnu1u2……y11y12……y12y12……y1ny1n……usys1ys2ysn決策單元評(píng)估指標(biāo)……投入產(chǎn)出……………………………………CCR
modelR
:
A
Reference
SetPrimal
ProblemDual
ProblemSecond-stage:
SlackReference
Set:Table
1.6
:
2
inputs
–
1
output
CaseExample
ProblemPrimal
ProblemDual
ProblemDFE0Figure
1.7
:
Efficiency
of
DMU
AAA1CEfficiency
FrontierTable
1.7
:
Results
of
DEAReference
SetDMU
Efficiency0.167
0.167
0.8330.182
0.091
0.7270
0
00
0
00.200
0.2000.250
0.1250.5000100010001000A
0.833B
0.727C
1D
1E
1F
10
1
1
2.0
0
0Software:
EMS
ResultsBCC
modelVariable
Returns
to
ScaleCCR
modelBCC
modelBCC
model:
Dual
Problem0OutputInputFigure
2.1
:
Efficiency
Frontier
and
Production
Possibil(A)Efficiency
Frontier
of
CCR
modelEfficiency
Frontier
of
BCC
modeb(C)a(B)cdeCCR有效與BCC有效OutputInputFrontier
of
CCR
modelbaFrontier
of
BCC
modelcdPABRCost
Analysis0Efficiency
Frontier
of
CCR
modelEfficiency
Frontier
of
BCC
modeEdkgjihc
befPDual
ProblemAn
Economic
InterpretationLabourMin
combinationsrequired
(isoquant)Due
to
Michael
Farrell
(1957)Technical
efficiency
=
OB/OACapitalABOOther
thingsequal
=
outputAn
Economic
Interpretation(Output
maximisation
orientation)Output
1(e.g.
calls)Technical
efficiency
=
OB/OAOutput
2(e.g.
lines)DCOOther
thingsequal
=
inputsMax
combinations
achieveable(production
frontier)Economic
Interpretation
(3)
The
isoquant
and
production
frontier
are
not
knowndirectly,
but
might
be
estimated
from
known
data,
usingpiecewise
interpolationCapitalLabourMin
combinationsrequired
(isoquant)ABOEFGHJKLB
is
an
artificialobservation
-
acombination
ofF
and
GAllocative
efficiencyLabourMin
combinationsrequired
(isoquant)Depends
on
knowing
pricesAE
=
min
cost/actual
cost
=
OD/
OBCapitalABOCEfficientIsocostlineDInputPQR
AOutputMT.E.
=
PR/PAS.E.
=
PQ/PRT.&
S.E
=
PQ/PAOhis
is
input
orientation.
What
about
output
orientation?Running
DEAPurpose
-
built
softwareExcel/Solver
macrosOrganise
data
for
input
Identify
inputs,
outputs
andnoncontrollablesRunInterpretHow
reliable
is
DEA?
Depends
on
whether
frontier
can
bepopulated
by
efficient
firms:number
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