Knowledge Workers and Regional Economic Disparities in Italy: A Data-Driven Analysis
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 3, 2025
Abstract
The
article
analyzes
knowledge
workers'
values
across
Italian
regions.
Metric
analysis
is
carried
out
by
using
the
ISTAT-BES
database.
To
assess
whether
any
regional
grouping
present,
based
on
worker
values,
paper
applies
clustering
k-means
algorithm
and
then
optimizes
it
with
Silhouette
coefficient.
data
show
that
optimal
number
of
clusters
corresponds
to
k=3,
but
this
a
suboptimal
value
It
followed
panel
in
order
check
for
metric
relationships
between
set
innovation-related
variables
observed
results
increase
presence
cultural
creative
employment
regular
internet
users,
while
they
decrease
higher
household
access,
increased
mobility
university
graduates,
research
intensity.
Finally,
machine
learning
identifies
most
efficient
prediction
future
workers
optimizing
metrics
R-squared
Mean
Absolute
Error.
Findings
also
come
discussion
context
North-South
divide
characterizes
JEL
CODE:
O3,
O31,
O32,
O33,
O34
Language: Английский
Knowledge Workers across the Italian Regions
Published: March 29, 2024
In
the
following
article
I
take
into
consideration
role
of
knowledge
workers
in
Italian
regions.
The
analysed
data
refers
to
ISTAT-BES
database.
metric
analysis
consists
an
in-depth
trends
regions
and
macro-regions,
followed
by
clustering
with
k-Means
algorithm,
application
machine
learning
algorithms
for
prediction,
presentation
econometric
model
panel
methods
date.
results
are
also
critically
discussed
light
North-South
divide
economic
policy
implications.
Language: Английский
Knowledge Workers across the Italian Regions
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 27, 2024
Abstract
In
the
following
article
I
take
into
consideration
role
of
knowledge
workers
in
Italian
regions.
The
analysed
data
refers
to
ISTAT-BES
database.
metric
analysis
consists
an
in-depth
trends
regions
and
macro-regions,
followed
by
clustering
with
k-Means
algorithm,
application
machine
learning
algorithms
for
prediction,
presentation
econometric
model
panel
methods
date.
results
are
also
critically
discussed
light
North-South
divide
economic
policy
implications.
JEL
CODE:
O3,
O31,
O32,
O33,
O34
Language: Английский
Knowledge Workers across the Italian Regions
SSRN Electronic Journal,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Jan. 1, 2024
In
the
following
article
I
take
into
consideration
role
of
knowledge
workers
in
Italian
regions.
The
analysed
data
refers
to
ISTAT-BES
database.
metric
analysis
consists
an
in-depth
trends
regions
and
macro-regions,
followed
by
clustering
with
k-Means
algorithm,
application
machine
learning
algorithms
for
prediction,
presentation
econometric
model
panel
methods
date.
results
are
also
critically
discussed
light
North-South
divide
economic
policy
implications.
Language: Английский
Knowledge Workers in the Italian Regions
Published: March 26, 2024
In
the
following
article
I
take
into
consideration
role
of
knowledge
workers
in
Italian
regions.
The
analysed
data
refers
to
ISTAT-BES
database.
metric
analysis
consists
an
in-depth
trends
regions
and
macro-regions,
followed
by
clustering
with
k-Means
algorithm,
application
machine
learning
algorithms
for
prediction,
presentation
econometric
model
panel
methods
date.
results
are
also
critically
discussed
light
North-South
divide
economic
policy
implications.
Language: Английский