Research in International Business and Finance,
Год журнала:
2024,
Номер
69, С. 102286 - 102286
Опубликована: Фев. 23, 2024
This
study
examines
the
potential
bidirectional
linkage
between
reputational
risk
exposure
associated
with
Environmental,
Social
and
Governance
(ESG)
factors
market
valuation
in
banking
sector.
We
build
a
monthly
panel
dataset
for
19
European
listed
banks
from
2012
to
2020.
employ
Bayesian
Panel
Vector
Autoregressive
model
examine
dynamics
two
variables
of
interest.
The
findings
show
an
inverse
causality
ESG
banks'
suggests
that
impact
shocks
on
is
more
significant
high-exposed
banks.
Our
results
are
consistent
stakeholder
slack
resources
theories
highlight
importance
influencing
valuation.
Moreover,
demonstrates
how
prior
financial
performances
exposure.
These
insights
provide
guidance
can
manage
their
risks
enhance
brand
identity
value.
Inizio
modulo
Sustainability,
Год журнала:
2023,
Номер
15(8), С. 6781 - 6781
Опубликована: Апрель 17, 2023
While
the
literature
has
examined
key
role
of
green
finance
policy
on
firms’
innovation
and
environmental
performance,
little
attention
been
paid
to
environmental,
social,
governance
(ESG)
which
is
increasingly
important
stakeholders.
Exploiting
heterogeneity
in
exposure
pilot
zones
China
2017
as
a
quasi-natural
experiment,
this
paper
employs
difference-in-differences
model
explore
effect
ESG
performance.
Based
data
listed
manufacturing
firms
during
2013–2020,
our
results
indicate
that
could
promote
Moreover,
overall
positive
driven
mainly
by
pillar.
Utilizing
subsample
estimation
triple
differences
method,
we
further
find
higher
performance
with
less
financial
constraints,
economically
more
developed
zones,
state-owned
enterprises
(SOEs).
Mechanism
analysis
indicates
promotes
even
if
it
worsens
constraints.
Our
study
contributes
research
both
impacts
relationship
between
constraints
well
structure.
Borsa Istanbul Review,
Год журнала:
2024,
Номер
24(2), С. 324 - 340
Опубликована: Янв. 5, 2024
Under
the
UN
sustainable
development
goals
(SDGs),
United
States
(US)
and
China
have
ambitious
environmental,
social,
governance
(ESG)
investment
plans.
However,
dichotomy
is
found
in
literature
about
how
rising
ESG
practices
affect
firm
value
(FV).
This
study
examines
linear
nonlinear
effect
of
on
FV
growth-option
(GV)
moderates
this
connection
real-option
framework.
We
use
data
5220
listed
US
Chinese
firms
from
2018
to
2022
with
a
generalized
method
moments
model.
The
empirical
results
confirm
that
nonlinearly
FV,
implying
turn
trajectory
positive
negative,
degree
varies
across
sample
but
more
pronounced
at
than
firms.
also
find
GV
negatively
nexus
between
sample.
Our
endogeneity-adjusted
pass
robustness
tests
important
policy
implications.
Heliyon,
Год журнала:
2024,
Номер
10(5), С. e26757 - e26757
Опубликована: Фев. 27, 2024
In
line
with
Sustainable
Development
Goals,
firms
are
increasingly
incorporating
Environmental,
Social,
and
Governance
(ESG)
considerations
in
their
investment
strategies.
The
effect
of
firms'
climate
change
risk
(FCCR)
on
Value
(FV),
how
such
engagements
moderate
this
effect,
is
a
prominent
subject
debate
among
scholars,
investors,
policymakers.
To
examine
these
dynamics,
we
analyze
dataset
1771
Unites
States
(US)-listed
from
2006
to
2021
quantify
the
FCCR
FV.
We
use
generalized
method
moments
model
achieve
our
objectives.
major
findings
summarized
as
follows:
First,
has
negative
significant
Second,
ESG
investments
positively
significantly
influence
Third,
FCCR-FV
relationship.
confirm
estimations
robust
under
different
Finally,
article
provides
fresh
perspective
management
policy
implications
for
managers,
regulators
US.
suggest
that
investing
an
important
strategic
catalyst
US
firms.
Journal of Cleaner Production,
Год журнала:
2024,
Номер
453, С. 142188 - 142188
Опубликована: Апрель 10, 2024
This
study
contributes
to
the
existing
literature
by
examining
how
carbon
regulation
initiatives
influence
corporations'
ESG
actions
in
real
estate
sector,
with
a
special
focus
on
Environmental
(E)
performance.
Specifically,
it
investigates
if
stringent
regulations
like
emissions
trading
systems
(ETS)
enhance
corporates'
performance
analyzing
data
of
listed
across
37
countries
rated
MSCI.
Our
findings
indicate
that
implementing
ETS
leads
heightened
environmental
responsibility
sector.
supports
North's
(1990)
institutional
theory,
highlighting
impact
organizational
behavior
and
business
strategies.
channel
analysis
suggests
leverages
ETS-driven
participate
green
building
initiatives.
However,
does
not
find
comparable
effects
taxes.
research
highlights
pivotal
role
shaping
sustainable
practices
Sustainable Development,
Год журнала:
2022,
Номер
31(2), С. 1027 - 1037
Опубликована: Окт. 31, 2022
Abstract
AI
and
data
are
key
strategic
resources
enablers
of
the
digital
transition.
Artificial
Intelligence
(AI)
also
intimately
related
to
a
company's
environment,
social,
governance
(ESG)
performance
generation
sustainability
impacts.
These
impacts
increasingly
scrutinized
by
markets
other
stakeholders,
as
ESG
both
valuation
risk
assessments.
It
an
entity's
potential
contribute
good,
but
it
relates
risks
concerning,
for
example,
alignment
with
current
coming
regulations
frameworks.
There
is
currently
limited
information
on
lack
unified
approach
need
tools
systematically
assessing
disclosing
capabilities.
I
here
propose
protocol,
which
flexible
high‐level
tool
evaluating
such
impacts,
engendering
increased
awareness
better
governance,
stakeholder
communication.
Journal of International Money and Finance,
Год журнала:
2022,
Номер
131, С. 102785 - 102785
Опубликована: Дек. 6, 2022
This
study
examines
the
association
between
firms'
ESG
reputational
risk
and
financial
performance
under
EU
regulatory
policy
changes
COVID-19
period.
Analyzing
a
panel
of
1,816
European
listed
firms
during
period
2007–2021,
we
document
evidence
that
with
lower
have
reduced
information
asymmetry,
are
less
constrained
perform
better.
To
establish
causality,
design
quasi-natural
experiment
focusing
on
2014/95/EU
directive
non-financial
disclosing
exogenous
shock.
Our
findings
robust
to
several
estimation
techniques
address
endogeneity,
self-selection,
model
sensitivity.
