The impact of artificial intelligence on the energy consumption of corporations: The role of human capital
Energy Economics,
Год журнала:
2025,
Номер
unknown, С. 108231 - 108231
Опубликована: Янв. 1, 2025
Язык: Английский
Impact of Regional Artificial Intelligence Development on Corporate Environmental Information
Finance research letters,
Год журнала:
2025,
Номер
unknown, С. 107413 - 107413
Опубликована: Апрель 1, 2025
Язык: Английский
The role of artificial intelligence in reducing carbon emissions: evidence from Chinese manufacturing firms
Applied Economics,
Год журнала:
2025,
Номер
unknown, С. 1 - 18
Опубликована: Март 3, 2025
Язык: Английский
Impact of Artificial Intelligence on Corporate Green Transformation
Finance research letters,
Год журнала:
2025,
Номер
unknown, С. 107427 - 107427
Опубликована: Апрель 1, 2025
Язык: Английский
Does AI elevate corporate ESG performance? A supply chain perspective
Business Strategy and the Environment,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 16, 2024
Abstract
As
a
pivotal
catalyst
for
sustainable
development,
the
evolution
and
integration
of
AI
are
propelling
both
companies
society
toward
more
efficient
trajectory.
Utilizing
multi‐period
difference‐in‐difference
(DID)
model,
study
assesses
impact
2019
China
Artificial
Intelligence
Pilot
(AIP)
policy
on
corporate
environmental,
social,
governance
(ESG).
The
study's
findings
following:
(1)
Optimizing
through
artificial
intelligence
(AI),
AIP
has
significantly
bolstered
ESG
performance
in
pilot
areas.
(2)
Mechanistic
analysis
demonstrates
that
elevates
by
bolstering
efficiency
supply
chains.
(3)
Heterogeneity
testing
shows
exerts
pronounced
effect
non‐state‐owned
companies,
with
high
energy
consumption,
those
new
sector.
This
manuscript
furnishes
empirical
insights
evaluating
implications
development
initiatives.
Язык: Английский
Can energy transition improve the quality of life for the population?–Empirical analysis of 30 provinces in China
Energy,
Год журнала:
2024,
Номер
unknown, С. 133938 - 133938
Опубликована: Ноя. 1, 2024
Язык: Английский
Latent Information in the Evolving Energy Structure
Journal of Global Information Management,
Год журнала:
2024,
Номер
32(1), С. 1 - 21
Опубликована: Ноя. 10, 2024
Recent
studies
indicate
that
Artificial
Intelligence
(AI)
technology,
characterized
by
its
integration
of
information
and
communication
technology
attributes,
exerts
a
multifaceted
influence
on
the
energy
system.
The
authors
employ
Difference-in-Differences
(DID)
Triple-Difference
(DDD)
models
to
investigate
effects
AI.
research
initially
demonstrates
AI
may
exhibit
dual
attributes
constraining
structure.
Specifically,
rapid
development
tends
increase
proportion
fossil
fuel-based
electricity
generation
while
optimizing
consumption
renewable
energy.
Furthermore,
degradation
structure
stems
from
surge
in
AI,
which
capacity
is
unable
satisfy.
Lastly,
industrial
agglomeration
construction
digital
economy
have
positive
impacts
energy;
technological
innovation
aids
mitigating
negative
shocks
This
study
provides
new
perspective
role
transition.
Язык: Английский
Analysis of Energy System Transformations in the European Union
Energies,
Год журнала:
2024,
Номер
17(23), С. 6181 - 6181
Опубликована: Дек. 7, 2024
Achieving
climate
neutrality
has
become
an
environmental
goal
for
all
European
Union
(EU)
Member
States.
Thanks
to
numerous
projects
and
subsidies,
EU
countries
are
able
achieve
the
of
decarbonizing
energy
sources.
The
aim
presented
study
is
assess
validity
States’
actions
reduce
CO2
emissions
based
on
data
provided
by
Eurostat.
combines,
using
regression,
financial
outlays
dictated
protection,
share
renewable
energy,
total
in
individual
This
shown
that,
despite
differences
use
sources,
States
economic
growth
symbiosis
with
environment.
Язык: Английский