International Journal of Emerging Markets,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 24, 2024
Purpose
This
study
investigates
the
role
of
interlocking
director
networks
(IDN)
in
driving
corporate
digital
transformation
(CDT)
and
explores
moderating
agency
costs,
diversification
financial
distress.
Design/methodology/approach
The
analysis
uses
data
from
Chinese
A-share
listed
companies
on
Shanghai
Shenzhen
stock
exchanges
2006
to
2021.
A
two-way
fixed-effects
model
is
employed
assess
impact
IDNs
CDT.
Findings
results
indicate
that
positively
affect
Furthermore,
this
effect
enhanced
by
costs
distress,
while
acts
as
a
negative
moderator.
Originality/value
Informal
institutions
such
play
significant
governance
China’s
relational
society.
focuses
influence
informal
transformation,
expanding
understanding
economic
consequences
enriching
literature
factors
influencing
transformation.
Frontiers in Environmental Science,
Journal Year:
2025,
Volume and Issue:
13
Published: Feb. 5, 2025
One
of
the
key
factors
influencing
corporate
sustainable
development
is
green
technology
innovation
(GTI).
Our
study
intends
to
explore
how
digital
transformation
impacts
value
through
GTI.
We
use
panel
data
from
A-share
publicly
listed
firms
in
China
spanning
2012
2022
as
our
sample.
employ
textual
analysis
extract
keywords
correlated
annual
reports,
and
construct
an
indicator
evaluate
corporates.
findings
show
that
significantly
enhances
enterprise
by
improving
innovation.
Furthermore,
market
competition
credit
moderate
mediated
relationship
between
value.
Additionally,
heterogeneity
tests
indicate
has
a
more
significant
influence
on
enhancement
for
heavily
polluting
corporates,
non-high-tech
smaller
This
research
offers
important
recommendations
practitioners
advancing
business
practices
provides
policy
environmental
protection
development.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(10), P. 4314 - 4314
Published: May 20, 2024
Confronted
with
challenges
such
as
escalating
demand,
expanding
energy
consumption,
and
emissions,
China’s
manufacturing
sector
stands
at
a
pivotal
juncture
on
its
path
towards
sustainable
development.
Against
the
backdrop
of
new
wave
technological
revolution
industrial
transformation,
exploring
how
digital
economy
can
foster
growth
in
green
total
factor
productivity
(GTFP),
particularly
amidst
diversification,
holds
significant
importance
for
realizing
development
objectives.
This
study
employs
system
generalized
method
moments
(System
GMM),
encompassing
30
provinces
China,
to
delve
deeply
into
notable
dynamic
correlation
between
index
GTFP.
The
findings
reveal
that
advancement
significantly
influences
GTFP,
underscoring
direct
enduring
impact
productivity.
Key
mechanisms
through
which
promotes
are
identified,
including
resource
optimization,
innovation,
data-driven
decision
making,
transformation
environmentally
behaviors.
By
bridging
gaps
existing
literature,
this
integrates
economic
environmental
perspectives,
emphasizing
necessity
formulating
innovation
policies
aligned
It
provides
richer
insights
role
enhancing
accentuating
potential
technologies
driving
transformation.
With
holistic
approach,
combines
efficiency
sustainability,
offering
crucial
guidance
policymakers
industry
stakeholders
crafting
strategies.
Purpose
Despite
the
growing
importance
of
digital
transformation,
few
studies
have
investigated
its
precise
effects
on
firm
efficiency.
This
research
explores
differential
transformation
profitability
and
marketability
manufacturing
firms.
Design/methodology/approach
We
analyze
relationship
between
efficiency
using
a
dataset
Chinese-listed
firms
from
2011
to
2023.
Findings
The
results
indicate
that
improves
has
U-shaped
with
profitability.
Moreover,
industry
competition
amplifies
positive
effect
but
attenuates
In
contrast,
media
coverage
Originality/value
While
existing
conclusion
about
is
inconsistent,
this
enriches
literature
provides
insights
for
improving
in
terms
both
marketability.
Managerial and Decision Economics,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 3, 2025
ABSTRACT
Enhancing
firms'
ESG
performance
has
become
an
important
issue
for
promoting
sustainable
economic
development.
Nowadays,
the
application
of
big
data
technology
may
have
a
significant
impact
on
performance,
but
research
in
this
area
remains
relatively
insufficient.
Based
quasi‐natural
experiment
national
comprehensive
experimental
zone
pilot
policy
(NBDCEZs)
China,
study
employs
panel
from
1383
Chinese
nonfinancial
listed
firms
2009
to
2022.
We
utilize
difference‐in‐differences
(DID)
method
explore
development
performance.
The
results
indicate
that
implementation
NBDCEZs
positive
effect
enhancing
mechanism
analysis
suggests
effectively
improves
by
strengthening
information
disclosure
quality
and
alleviating
financing
constraints.
Additionally,
heterogeneity
finds
effects
are
more
pronounced
state‐owned
firms,
with
higher
financial
risk,
regions
lower
levels
informatization.
This
provides
insights
policymakers
business
decision‐makers
era
digital
economy.
Managerial and Decision Economics,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 6, 2025
ABSTRACT
Beyond
improving
financial
performance,
enterprise
digital
transformation
(EDT)
also
contributes
to
social
and
environmental
well‐being.
This
study
aims
investigate
the
impact
mechanism
of
EDT
on
environmental,
social,
governance
(ESG)
performance
applies
fixed‐effects
model
regress
panel
data
Chinese
listed
companies
from
2009
2022.
We
find
that
promotes
ESG
by
optimizing
internal
controls
information
disclosure
quality,
with
blockchain
contributing
more
prominently.
positive
effect
is
significant
among
enterprises
are
state‐owned,
larger,
polluting.
Further
analysis
shows
improves
leads
value
increase
financing
constraint
alleviation.
Our
findings
guide
governments
actively
promote
EDT,
facilitate
green
low‐carbon
transitions,
incentivize
practices.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(7), P. 3170 - 3170
Published: April 3, 2025
Corporate
environmental,
social,
and
governance
(ESG)
performance
has
emerged
as
a
critical
focus
of
societal
academic
interest.
This
study
employs
an
empirical
analysis
utilizing
sample
Chinese
A-share
listed
companies
to
investigate
the
relationship
between
ESG
green
technology
innovation.
The
results
demonstrate
that
significantly
enhances
innovation,
with
digital
transformation
acting
moderating
variable
in
this
relationship.
Furthermore,
reveals
corporate
social
responsibility
internal
mechanisms
exert
more
substantial
influence
on
innovation
compared
other
dimensions.
Notably,
impact
is
pronounced
among
firms
non-polluting
industries
those
operating
regions
characterized
by
higher
levels
marketization.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: April 8, 2025
Abstract
Under
the
“dual
carbon”
goals,
heavily
polluting
enterprises
face
dual
pressures
to
reduce
both
pollution
and
carbon
emissions,
necessitating
urgent
exploration
of
effective
pathways
for
coordinated
emission
reductions.
This
study
investigates
potential
digital
transformation
in
achieve
synergistic
First,
entropy
method
is
employed
measure
enterprise
digitalization
pollutant
levels,
spatial–temporal
evolution
characteristics
regional
reductions
are
analyzed.
Subsequently,
using
panel
data
from
Yangtze
River
Economic
Belt,
examines
impact
on
reduction,
its
underlying
mechanisms,
moderating
effects
environmental
policies
these
relationships.
Robustness
tests
confirm
synergy
between
emissions.
The
findings
reveal
that
contributes
reduction
emissions
enterprises,
primarily
through
two
pathways:
integration
internal
innovation
resources
collaborative
engagement
external
networks.
Furthermore,
air
control
low-carbon
city
initiatives
significantly
enhance
digitalization.
Interestingly,
located
downstream
regions
River,
those
with
smaller
operational
scales,
or
facing
strong
financing
constraints,
demonstrate
more
pronounced
transformation.
Based
conclusions,
we
recommend
governments
focus
strengthening
either
“pollution
reduction”
“carbon
policies,
as
alone
can
yield
benefits.
Additionally,
tailoring
local
conditions
maximize
economic
