Spatial Economic Analysis,
Journal Year:
2023,
Volume and Issue:
18(4), P. 431 - 436
Published: Sept. 27, 2023
This
editorial
summarises
the
papers
in
issue
18(4)
(2023).
The
first
paper
investigates
attitudes
towards
civic
engagement
relation
to
living
closer
individuals
with
same
social
status.
second
develops
a
Bayesian
estimator
of
dynamic
multivariate
spatial
ordered
probit
(DMSOP)
model.
third
examines
impact
drug-related
activities
on
violent
crime.
fourth
web-scrapes
data
from
individual
firms
provide
better
understanding
determinants
innovation.
fifth
tests
forecasting
performance
post-crises
years
panel
(SDPD)
models
reformulated
first-differences.
sixth
applies
count-data
econometric
model
explain
early-stage
(GE)
business
creation.
seventh
patient
migration
flows
among
cantons
and
hospitals
using
gravity
extended
lags
hospital
efficiency
score
as
an
explanatory
variable.
eighth
studies
whether
decision
migrate
pursue
tertiary
education
negatively
affects
student
achievement
at
university
level
distance
increases.
Research Policy,
Journal Year:
2023,
Volume and Issue:
52(10), P. 104886 - 104886
Published: Sept. 5, 2023
Novel
combinations
of
technologies
are
usually
the
result
collaborative
work
that
builds
on
existing
knowledge.
Albeit
inventors
and
their
respective
communities
tend
to
be
specialized,
inventor
collaborations
across
differently
specialized
peers
have
potential
generate
co-inventor
networks
provide
access
a
diverse
set
knowledge
facilitate
production
radical
novelty.
Previous
research
has
demonstrated
short
in
large
enables
innovative
outcomes
regional
economies.
However,
how
connections
network
different
technological
domains
matter
what
impact
they
might
is
still
unknown.
The
present
investigation
focuses
'atypical'
as
indicated
patent
documents.
In
particular,
role
specializations
linked
innovation
European
regions
analyzed.
Our
results
confirm
share
atypical
patents
growing
where
bridging
ties
establish
cohesive
sub-networks.
Furthermore,
evidence
suggests
strong
specialization
fosters
because
these
manage
increase
scale
scope
novel
combinations.
Thus,
bridges
between
favor
outcomes.
shows
not
diversity
per
se,
but
links
variously
can
foster
innovation.
Regional Studies,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 17
Published: Jan. 2, 2025
The
shift
to
a
bioeconomy
necessitates
radical
innovations
move
from
fossil-
bio-based
economy,
with
bioclusters
playing
crucial
role
by
fostering
collaboration
among
wide
range
of
co-located
actors
find
solutions.
Through
novel
methodological
approach
in
regional
studies
(i.e.,
archetypal
analysis),
this
study
discusses
the
specificities
and
analyses
relational
properties
within
European
bioclusters'
knowledge
networks.
Results
suggest
four
It
is
rare
observe
transition
biocluster
networks
one
archetype
group
another.
findings
provide
data-driven
typology,
offering
insights
into
designing
informed
place-based
policies.
EPJ Data Science,
Journal Year:
2024,
Volume and Issue:
13(1)
Published: July 30, 2024
Abstract
With
the
increasing
pervasiveness
of
Information
and
Communication
Technology
(ICT)
in
fabric
economic
activities,
corporate
digital
divide
has
become
a
crucial
issue
for
assessment
(IT)
competencies
gap
between
firms
territories.
little
granular
data
available
to
measure
phenomenon,
most
studies
have
used
survey
data.
To
address
this
empirical
gap,
we
scanned
homepages
182,705
Italian
companies
extracted
ten
characteristics
related
their
footprint
develop
new
index
assessment.
Our
results
show
significant
according
size,
sector
geographical
location,
opening
perspectives
monitoring
data-driven
analysis.
REGION,
Journal Year:
2024,
Volume and Issue:
11(1), P. 55 - 78
Published: April 8, 2024
The
bioeconomy
represents
a
transformative
approach
to
economic
development
and
sustainability
by
harnessing
biological
resources
knowledge
produce
goods,
services,
energy
while
reducing
dependence
on
non-renewable
resources.
In
order
understand
support
the
bioeconomy,
scholars
policymakers
rely
an
accurate
measurement
monitoring
of
biobased
activities.
However,
existing
statistical
frameworks
industry
classifications
often
fall
short
in
capturing
unique
characteristics
complexities
bioeconomy.
This
article
addresses
this
challenge
developing
methodological
for
comprehensive
mapping
We
build
novel
data
set
firms
Germany
using
web-mining
machine
learning
techniques.
enables
detailed
analysis
activities,
providing
valuable
insights
into
spatial
organization
paper
demonstrates
applicability
testing
several
stylized
facts
about
Our
research
contributes
better
understanding
bioeconomy's
regional
impacts
offers
resource
researchers
interested
geography
make
aggregated
version
freely
available
online.
Journal of Economic Geography,
Journal Year:
2023,
Volume and Issue:
24(2), P. 241 - 262
Published: Dec. 25, 2023
Abstract
Firms
may
seek
non-redundant
information
through
inter-firm
relations
beyond
their
geographic
and
cognitive
boundaries
(i.e.,
with
firms
in
other
regions
active
different
fields).
Little
is
known
about
the
conditions
under
which
benefit
from
this
high-risk/high-gain
strategy.
We
created
a
digital
layer
of
600,000
German
by
using
websites’
textual
relational
content.
Our
results
suggest
that
strong
(relations
common
third
partners)
between
fields
inter-regional
are
positively
associated
firm’s
innovation
level.
also
found
specific
combination
weak
confers
greater
benefits.
