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Policy
Research
Working
Paper10684Dysfunctional
Family
M
anagem
entFam
ily
-
Managed
Businesses
and
the
Qualityof
Management
Pract
icesAsifM.IslamRobertaGattiMiddle
East
and
Nort
h
Africa
RegionOffice
of
t
he
Chief
EconomistJanu
ary
2024Policy
Research
Working
Paper
10684AbstractBetter
managed
firms
p
erform
better.
Existing
evidencehas
shown
that
family-managed
firms
have
p
oorer
man-agement
p
ractices.
Sev
eral
reasons
have
been
p
rop
osed.Limiting
to
family
members
red
u
ces
the
t
alent
p
ool
ofp
otential
managers.
Fam
ily
management
creat
es
disincen-tives
for
other
talented
workers
given
that
the
environmentis
not
m
erit
ocrat
ic.
Family
managers
themselves
may
be
lessmotivated
given
that
they
may
not
have
to
compete
fortheposition.
is
study
scales
up
the
evidence
by
exp
loringthe
relationship
between
family
managers
and
managementp
ractices
for
about
9,000
medium
and
la
rge
firms
across41
develop
ing
and
advanced
economies.e
study
cont
rib
-utes
to
the
literature
by
investigating
several
internal
andexternal
op
erating
f
act
ors
that
attenuate
or
accentuate
therelat
ionship
between
family
management
and
the
qualityof
management
p
ractices.e
engagement
of
governmentsin
terms
of
corrup
tion
and
p
olitical
connections
is
foundto
be
influential.is
paper
is
a
p
roduct
of
the
Office
of
the
Chief
Economist,
Middle
East
and
Nort
h
Africa
Region.
It
is
p
art
of
a
largereff
ort
by
the
World
Bankto
provide
open
access
to
its
research
and
make
a
contribution
to
development
p
olicy
discussionsarou
nd
thew
orld
.
Poli
cy
Research
Working
Pap
ers
are
alsop
osted
on
the
Web
at
http
:///p
rwp
.
eau
t
hors
may
be
contacted
at
aislam
@
w
orld
b
ank.
org.e
Policy
Research
Working
Paper
Series
disseminates
the
findings
of
work
in
progress
to
encourage
the
exchange
of
ideas
about
developmentissues.
An
objective
of
the
series
is
to
get
the
findings
out
quickly,
even
if
the
presentations
are
less
than
fully
polished.
e
papers
carry
thenames
of
the
authors
and
should
be
cited
accordingly.
e
findings,
interpretations,
and
conclusions
expressed
in
this
paper
are
entirely
thoseoftheauthors.eydonotnecessarilyrepresenttheviewsoftheInternationalBankforReconstructionandDevelopment/WorldBankanditsaffiliatedorganizations,orthoseoftheExecutiveDirectorsofthe
World
Bankorthegovernmentstheyrepresent.ProducedbytheResearchSupport
TeamDysfunctional
FamilyManagement:Family-ManagedBusinessesandtheQualityof
ManagementPracticesAsifM.IslamandRobertaGatti1Keywords:ManagementPractices,MiddleEastandNorthAfrica,GovernmentOwnershipJELcodes:L20,L22,L23,O12,M10,G321
RobertaGattiistheChiefEconomistoftheMiddleEastand
NorthAfricaregionatthe
WorldBank.AsifM.IslamisaSeniorEconomistintheChiefEconomistOfficeoftheMiddleEastandNorthAfrica
attheWorldBank.Theopinionsexpressedinthispaperdo
notrepresenttheviewsof
theWorldBankGroup,itsBoardof
Directors,or
theGovernmentstheyrepresent.Allerrorsandomissionsaretheauthors’responsibility.DysfunctionalFamilyManagement:Family-ManagedBusinessesandtheQualityof
ManagementPracticesI.IntroductionFirms
are
a
crucial
engine
of
economic
growth.
How
these
businesses
are
managed
will
determine
howthey
perform.
The
seminal
work
by
Bloom
and
Van
Reenen
(2007)
initiated
a
large
literature
thatdocumented
the
positive
effects
of
good
management
practices.
Firms
that
are
better
managed
are
moreproductive,
have
higher
operating
profits,
are
more
outward
oriented,
and
invest
more
in
research
anddevelopment
(Bruhn
et
al.,
2018;
Bloom
et
al.,
2019;
see
Scur
et
al.,
2021
for
a
summary).
The
productivityof
skilled
labor
may
also
increase
(Gosnell
et
al.,
2020).
The
firms
are
also
more
likely
to
train
their
workers(Islam
and
Gatti,
2023).
Experimental
research
has
validated
these
findings
with
rigorous
identificationstrategies(Bloom
et
al.,2013a;Bloom
et
al.,2020).Family
managed
firms
are
expected
to
have
poorer
management
practices
(see
Tsoutsoura,
2021
for
areview
of
the
recent
literature).
There
are
number
ofreasons
for
this.2
First,
choosing
managers
only
withinthe
family
restricts
the
talent
pool
of
potential
managers,
increasing
the
chances
that
family-managed
firmswillmiss
out
onbetter
qualitymanagers(Bennedsen
et
al.,
2007;
Bloom
and
VanReenen,
2007).
Second,family
membersthat
are
expected
tobecome
managersof
the
family
firm
may
have
disincentivestoworkhard
given
that
they
will
attain
the
position
regardless
of
effort.
Thus,
the
lack
of
competition
createsdisincentives
to
excel.
Villalonga
and
Amit
(2006)
find
that
indescendant-CEO
firms
-
where
the
CEO
isfrom
the
family
but
is
not
the
founder
-
the
conflict
between
family
and
nonfamily
shareholder
firms
ismore
costly
than
the
owner-manager
conflict
in
nonfamily
firms.
Third,
other
managers
or
workers
mayview
this
form
of
nepotism
unfavorably,
therebydiscouraging
their
effort,
and
creating
incentives
for
themto
work
elsewhere.
There
is
also
the
possibility
of
family
conflicts
playing
out,
that
could
demotivateemployees.
There
could
be
reasons
to
expect
the
opposite
–
family
management
could
resolve
the
classicagency
problem
between
owners
and
managers
(Jensen
and
Meckling,
1976;
Fama,
1980).
Owners
mayfind
it
easier
to
monitor
family
members
who
are
managers,
and
thus
the
family
CEOs
are
unlikely
todeviate
from
the
principal’s
objectives.
However,
the
existing
empirical
evidence
has
largely
pointed
tofamily-managed
businesses
having
poorer
management
practices.
Bloom
et
al
(2015)
show
that
family-run2/2011/03/family-firms-need-professional.2firms
do
tend
to
have
poorer
management
practices
for
a
sample
of
10,000
public
and
private
sectormanufacturing
firms
across
35
economies.
Lemos
and
Scur
(2019)
also
find
a
similar
relationship
in
asampleof2,710firmsacross
18economies
andimplement
aninstrumental
variableidentification
strategyfor912firms.We
build
on
this
literature
by
using
unique
data
from
the
2019
EBRD-WIB-World
Bank
Enterprise
Surveys(WBES).
This
data
has
a
special
module
on
family-managed
firms
and
political
connections
on
top
of
thecomprehensive
information
on
internal
and
external
operating
environment
of
businesses
found
in
theregular
World
Bank
Enterprise
Surveys.
These
surveys
were
rolled
out
across
a
similar
timeframe
(2018-2019)
for
developing
and
advanced
economies
across
Europe,
the
Middle
East
and
North
Africa,
andMongolia.
The
module
defines
our
sample
and
enables
this
study
to
make
a
unique
contribution
byexamining
the
relationship
between
family
managers
and
management
practices
for
a
set
of
economies,many
of
which
have
not
been
explored
before.
This
study
additionally
contributes
to
the
literature
byleveraging
the
surveys
to
uncover
firm
characteristics
and
business
environment
factors
that
may
strengthenorweakentheeffectsoffamilymanagementon
managementpractices.For
around
9,000
medium
and
large
firms
across
manufacturing
and
service
sectors
in
41
countries,
welargely
confirm
the
findings
of
Bloom
et
al
(2015)
that
family
management
is
negatively
correlated
withthe
quality
ofmanagement
practices.
This
is
animportantfindinggiven
the
differences
ofoursample–weexplore
both
manufacturing
and
service
firms,
while
Bloom
et
al
(2015)
only
study
manufacturing
firms.Our
samplealso
consistsoffirms
in
Eastern
Europeand
theMiddle
Eastand
North
Africathatarelargelyomitted
intheBloom(2015)sample.The
extensive
nature
of
the
WBES
allows
us
to
enrich
the
analysis
in
several
ways.
First,
the
surveyscollected
information
on
the
share
of
managers
that
are
family,
providing
some
nuance
on
whether
anyfamily
management
or
all
family
management
is
detrimental
to
management
practices.
We
find
evidencetowards
the
latter.
Second,
the
surveys
allow
for
the
exploration
of
whether
certain
factors
either
exacerbateor
alleviate
the
negative
relationship
between
family
managers
and
the
quality
of
management
practices.These
include
a
range
of
internal
and
external
operating
factors.
Third,
the
surveys
allow
us
to
explorespecificallywhattypes
of
management
practicesarelackinginfamily-runbusinesses.Finally,the
surveysprovideinformation
thatdescribesthe
natureoffamilyrunbusinesses.This
study
uncovers
the
following
key
findings.
First,
family
management
is
negatively
correlated
withmanagement
practices,
more
so
if
all
managers
in
the
firm
are
from
the
same
family.
This
is
true
in
the3sample
regardless
of
income
classification
or
regional
classification.
Second,
bribery
and
politicalconnections
tend
to
exacerbate
the
negative
effects
of
family
management
on
the
quality
of
managementpractices.
This
is
likely
because
bribery
tends
to
disincentivize
good
management
practices
(Athanasouliand
Goujard,
2015),
compounding
the
negative
effects
of
family
managers
on
the
quality
of
managementpractices.
The
weaker
the
competitive
forces,
the
less
pressure
family
managers
face
to
improveperformance
and
adopt
good
management
practices.
Political
connections
accentuate
the
negativerelationshipbetweenfamilymanagementand
managementpractices,possiblyhighlightingtheattenuationof
competitive
forces
to
increase
management
practices
due
to
political
connections.
Similarly,
the
findingsshowthatlack
ofperceivedcompetitors-servingas
aproxyof
competition–alsoaccentuatesthenegativeeffectoffamily
managementon
thequalityofmanagementpractices.One
can
also
expect
that
if
the
pool
of
talented
managers
is
restricted
for
all
firms,
then
the
negative
effectsof
family
management
on
management
practices
may
be
ameliorated
as
all
firms
draw
from
a
limited
talentpool.
We
proxy
for
this
using
the
variable
that
captures
whether
firms
perceive
labor
regulations
to
be
amajor
or
severe
obstacle
to
operations.
The
more
stringent
the
labor
regulations,
the
greater
the
difficultyin
hiring
and
firing,
imposing
constraints
on
the
potential
of
hiring
talented
managers.
Thus,
we
find
thatforfirmsthatfind
laborregulationsburdensome,
therelationshipbetweenfamilymanagementandqualityof
management
practices
is
alleviated.
There
is
also
some
evidence
that
innovative
firms
are
less
likely
tobehamperedby
familymanagers.It
is
alsoworthnotingthatfamilyownership,firmsize,
exporterstatus,foreign
ownership,
manufacturing
sector,
and
female
managers
do
not
play
any
significant
role
(neitherexacerbate
nor
attenuate)
in
the
relationship
between
family
management
and
management
practices.Finally,
when
all
managers
are
from
the
same
family,
these
firms
perform
poorly
in
the
managementpractice
dimensions
of
the
number
of
performance
indicators
monitored,
knowledge
of
production
orserviceprovisiontargets,andnotsurprisingly,
thebasisofbonuses.In
summary,
this
study
contributes
to
the
literature
in
several
ways.
It
complements
analysis
in
the
literatureby
investigating
the
relationship
between
family
management
and
quality
of
management
practices
for
asample
thathasnot
been
exploredby
previous
studies.
Itthen
extends
the
analysis
by
showing
how
certainkey
factors,
including
corruption,
competition,
and
political
connections,
accentuate,
while
stringentregulationsand
innovationamelioratethisrelationship.
It
alsoprovidessomenuance–showing
thatamixof
family
and
non-family
managers
may
not
be
as
detrimental
to
management
practices
as
having
allmanagement
be
family
members.
The
rest
of
the
paper
is
structured
as
follows.
Section
II
describes
thedata.SectionIIIexplainstheempiricalstrategy.SectionIVpresents
the
results,and
SectionV
concludes.4II.DataThe
main
source
of
firm-level
data
is
the
EBRD-EIB-World
Bank’s
Enterprise
Surveys
(WBES)
conductedaround2018-2019.
Thechoiceof
thisparticularsetofWBESisbecausetheycontainquestionsonfamilymanagement
that
are
not
available
for
the
regular
Enterprise
Surveys
carried
out
by
the
World
Bank.
Thisset
of
surveys
were
a
joint
venture
between
the
European
Bank
for
Reconstruction
and
Development(EBRD),
the
European
Investment
Bank
(EIB)
and
the
World
Bank
(see
EIB-EBRD-WB
2022).
Data
isavailable
for
41
economies
encompassing
developing
and
advanced
economies
in
Europe,
the
Middle
Eastand
North
Africa
(MENA)
region,
and
Mongolia.
The
surveys
have
a
section
on
management
practices
thatwas
only
implemented
for
medium
and
large
firms
(those
with
at
least
20
permanent,
full-time
employees),where
management
practices
were
more
likely
to
matter.
The
surveys
also
contain
the
standard
World
BankEnterprise
Surveys
modules,
collecting
information
on
a
representative
sample
of
formal
(registered)private
firms
operating
in
manufacturing
or
service
sectors.
The
WBES
data
are
fully
comparable
acrosscountries
and
are
collected
via
face-to-face
interviews
with
business
owners
or
top
managers
by
using
aglobal
methodology.
The
data
have
been
widely
used
by
several
studies
to
explore
the
private
sector
indeveloping
economies
(Paunov,
2016;
Besley
and
Mueller,
2018;
Chauvet
and
Ehrhar,
2018;
Hjort
andPoulsen,2019).Oneadvantageofthisroundofsurveysisthattheyconsistof
asetofeconomiessurveyedaround
a
similar
timeframe,
employing
a
consistent
survey
instrument
and
methodology.
These
surveyswerelargely
completedbeforetheCOVID-19pandemicoutbreak.The
key
outcome
variable
is
the
quality
of
management
practices,
following
the
methodology
implementedby
Bloom
et
al.
(2013b).
This
consists
of
eight
components:
(i)
Problem
resolution,
(ii)
Number
ofperformance
indicators
measured,
(iii)
Level
of
ease
or
difficulty
to
achieve
production
or
service
provisiontargets,
(iv)
Knowledge
of
production
or
service
provision
targets,
(v)
Basis
of
manager
bonuses,
(vi)Length
of
focus
of
production
targets,
(vii)
Promotion
of
non-managers,
and
(viii)
Dismissal
ofunderperforming
managers.
The
scoring
for
each
component
is
provided
in
table
A4.
The
managementpractices
module
is
only
implemented
for
medium
and
large
firms.
Figure
1
provides
the
managementpracticesscoresfortheeconomiesin
thesample.The
main
variable
of
interest
is
the
presence
of
family
members
in
management.
The
specific
questionasked
in
the
survey
instrument
is
“What
percentage
of
the
key
management
positions
of
this
firm
areoccupied
by
members
of
this
family?”
We
use
two
variables
in
the
analysis.
First,
we
use
this
exact
variabletocapturetheintensityoffamilymanagement.Second,
we
capturefirms
where
all
management
is
family.5This
is
achieved
through
a
binary
variable
that
attaints
a
value
of
1
if
the
response
to
the
question
is
100percent,
and0otherwise.
Using
bothvariablesallows
theanalysisto
make
adistinctionbetween
firmsthatare
entirely
managed
by
family,
and
those
that
are
partially
managed
by
family.
The
average
share
of
familymanagers
is
about
40.7
percent.
Around
32
percent
of
medium
and
large
businesses
in
the
sample
areentirely
managed
by
family
(Table
1).
Figure
2
provides
the
country
averages
for
the
percentage
of
firmsthat
areentirely
familymanaged.
Theshareoffamilymanagement
for
eachcountryispresentedinfigure3.Data
for
the
control
variables
are
also
obtained
from
the
Enterprise
Surveys.
These
encompass
standardfirm-level
characteristics
and
the
operating
environment
including
firm
size,
age,
outward
orientation,quality
certification,
access
to
finance,
manager
experience
in
the
sector,
and
perceptions
of
laborregulations
as
a
constraint.
Whether
the
firm
is
owned
by
the
same
family,
and
the
presence
of
politicalconnectionsarealsoincludedas
controlvariablesand
arenot
collectedin
thestandardESbut
werepart
ofthe
extended
questions
in
this
round
of
the
surveys.
The
specific
information
on
family
ownership
isobtained
from
the
survey
question:
“What
percentage
of
the
firm
is
owned
by
the
same
family?
(If
morethan
one
family,
refer
to
the
one
with
largest
ownership).”
The
information
on
political
connections
isobtained
from
the
following
survey
question:
“Has
the
owner,
CEO,
top
manager,
or
any
of
the
boardmembers
of
this
firm
ever
been
elected
or
appointed
to
a
political
position
in
this
country?”
The
rationalefor
the
control
variables
is
detailed
in
the
empirical
strategy
section.
Summary
statistics
are
provided
intable1.Table
A1
provides
some
description
of
the
nature
of
family-managed
firms.
Entirely
family-managed
firmshave
lower
management
scores
than
other
firms.
About
81
percent
of
fully
family-managed
firms
are
ofmedium
size,
compared
to
72
percent
for
other
firms.
Around
12
percent
of
fully
family-managed
firms
arelarge,
compared
to
24
percent
of
other
firms.
Entirely
family-managed
firms
are
also
less
likely
to
beforeign-owned
(5.53
vs.
13.89
percent),
and
more
likely
to
have
female
managers
(17.57
vs13.50
percent).Furthermore,
fully
family-managed
firmshavea
largershare
of
family
owners
(96vs
32
percent)
and
havemore
managerial
experience
(24
vs
20
years).
They
are
however
less
likely
to
be
politically
connected
(5vs
9
percent).
These
differences
are
statistically
significant
at
least
at
the
5
percent
level.
There
are
nostatistically
significant
differences
between
entirely
family-managed
firms
and
the
rest
with
regards
toexporting
status,
access
to
finance
(in
terms
of
loans
or
bank
accounts),
firm
age,
quality
certification,perceptions
of
labor
regulations
as
a
major
or
severe
constraint,
innovation,
bribery,
whether
the
firm
startedformally
orwhethertheyhaveoneor
no
competitor.6A
setofextendedquestions
in
the
surveyexplorehowmanagersoflargefirmsuse
theirtime.
We
leveragethis
information
to
explore
whether
family
managers
behave
differently
from
non-family
managers.Managertimeallocationiscaptured
in
termsofhow
frequently
theyinteractwithotherdecisionmakersinthe
organization
(COO,
CAO,
board
members),
suppliers,
and
employees.
Frequency
of
engagement
isrecorded
in
five
buckets:
(i)
Never,
(ii)
Once
a
week,
(iii)
Between
2
and
4
times
a
week,
(iv)
Daily,
and(v)
More
than
once
a
day.
Table
A2
shows
that
that
there
is
no
statistically
significant
difference
betweenfamily
managers
and
non-family
managers
across
the
five
buckets
along
the
dimensions
of
other
decisionmakers,
suppliers,
andemployees.This
suggeststhat
thedifferencein
the
qualityofmanagementpracticesis
not
due
to
differential
levels
of
engagement
across
the
organizations
between
family
managers
andvarious
actors.Oratleast,
family
managers
of
large
firms
appear
to
allocate
their
timesimilarly
to
those
ofnon-family
managers.
Note
that
this
sample
is
not
exactly
comparable
with
the
previous
results
as
it
onlypertains
tolarge
firms
inthe
sample
of
analysis.
However,
there
is
a
negative
relationship
between
familymanagementand
managementpracticesforthissampleoflargefirms.3III.
EmpiricalStrategyThe
following
equation
is
estimated
for
the
pooled
cross-section
sample
using
Ordinary
Least
Squares(OLS).=+++++012345++++1+(1)67Whereis
theaverage
managementpracticesscore.
Thefamily
management
variable()iseither
(i)
the
share
of
key
managers
that
are
family
members
or
(ii)
a
binary
variable
equal
to
1
if
all
keymanagers
are
family,
and
zero
otherwise.
To
control
for
as
many
confounding
factors
as
possible,
severalfirm-level
variables
are
accounted
for.
These
include
the
share
of
family
owners
(measured
by
the
number
of
full-time
employees
(
),
firm
age
(
),
manager
experience
in
the
samesector
(
),political
connections
interms
of
whether
theowner,
CEO,
top
manager,or
any
ofthe
board
members
of
the
firm
have
ever
been
elected
or
appointed
to
a
political
position
in
their
country),
firm
size
as().Wealsoaccountforwhether
thesectorofactivity
is
in
themanufacturing
sector().3Thefindings
areavailableuponrequest.7Other
control
variables
(
)
include
whether
the
firm
is
an
exporter
(defined
as
firms
with
10%
or
more
ofsales
directly
exported),
is
foreign
owned
(defined
as
firms
with
10%
or
more
private
foreign
ownership),the
presence
of
a
checking
or
savings
account,
quality
certification,
bribery,
competition,
and
whether
thefirm
perceives
labor
regulations
to
bea
majororsevere
constrainttooperations.
Countryfixedeffects
()are
included
to
account
for
time
invariant
country-specific
omitted
variables.
is
the
standard
error
termwith
the
usual
desirable
properties.
Survey
weights
are
used,
and
the
standard
errors
are
clustered
at
thelocation-sector-sizestratalevel.The
identification
strategy
is
to
exploit
cross-sectional
variation
in
family
management
and
the
quality
ofmanagement
practices
to
establish
the
relationship
between
the
two.
The
assignment
of
family
managementto
firms
may
not
be
random,
thereby
raising
endogeneity
concerns.
While
one
cannot
completely
rule
outthepossibilityofsimultaneitybias,it
isunlikelythatthepresenceof
familymanagementisdeterminedbythe
quality
of
management
practices.
A
greater
concern
is
omitted
variable
bias
that
may
be
correlated
withfamily
management
and
management
practices.
To
address
this,
we
account
for
as
many
possible
controlvariables
as
possible.
An
important
determinant
of
the
quality
of
management
practices
is
the
degree
ofcompetitionthefirm
isexposedto.
These
can
come
intheformofforeign
directinvestmentandtradethatincrease
exposure
to
competition
and
thereby
the
quality
of
management
practices
(Bloom
et
al.,
2016).These
are
proxied
by
exporter
status
and
foreign
ownership
in
the
estimations.
We
account
for
familyownership
as
it
is
likely
to
influence
the
quality
of
management
practices
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