PLoS ONE,
Год журнала:
2024,
Номер
19(2), С. e0298548 - e0298548
Опубликована: Фев. 23, 2024
Environmental
protection
talents
training
(EPTT)
is
recognized
as
a
key
prerequisite
for
maintaining
environmental
sustainability,
and
in
order
to
study
the
influence
of
each
player
on
EPTT.
This
paper
innovatively
constructs
tripartite
evolutionary
game
model
government,
university
enterprise.
The
equilibrium
points
stabilization
strategies
participant
are
solved
by
replicating
dynamic
equations,
behaviors
subject
EPTT
analyzed
so
clarify
behavioral
characteristics
optimal
government’s
participation
results
show
that
enterprises
occupy
more
important
position
influencing
government
decisions.
should
reduce
financial
incentives
replace
them
with
greater
policy
support.
Meanwhile,
actively
promote
cultivation
mechanism
integrates
universities
enterprises.
can
provide
decision-making
basis
sustainable
development
Humanities and Social Sciences Communications,
Год журнала:
2024,
Номер
11(1)
Опубликована: Фев. 7, 2024
Abstract
In
the
era
of
digital
economy,
green
value
co-creation
behavior
(DGVCB)
has
replaced
previous
creation.
DGVCB
become
a
tool
for
business
ecosystems
to
gain
sustainable
ecological
advantages
in
today’s
increasingly
complex
market.
At
present,
there
are
few
researches
on
influence
and
network
embedding(DGNE)
innovation
performance(DGIP).
This
paper
faces
institutional
logic
DGVCB,
analyzes
mechanism
DGNE
fragmentation
(DGNF)
context
ecosystem
competition,
then
constructs
causal
relationship
between
DGIP.
Based
326
valid
questionnaires
sample
data,
this
empirically
studies
effects
DGIP
by
using
regression
analysis
method,
verifies
discusses
proposed
theoretical
hypotheses.
The
results
show
that
have
significant
positive
improvement
plays
an
intermediary
role
DGNF
moderating
study
provides
guidance
governance
formulation
cooperation
strategies
enterprises.
Humanities and Social Sciences Communications,
Год журнала:
2024,
Номер
11(1)
Опубликована: Апрель 1, 2024
Abstract
The
building
materials
industry
ranks
first
in
terms
of
carbon
emissions
and
energy
consumption
within
the
industrial
sector.
To
achieve
goal
reducing
emissions,
development
green
intelligent
(GIBMs)
has
become
a
strategic
priority
major
demand
for
country.
Government
support
plays
vital
role
promoting
growth
GIBMs
industry.
This
paper
utilizes
evolutionary
game
theory
Matlab
software
to
analyze
impact
government
regulations
on
research
findings
indicate
following.
i)
Appropriate
control
over
enterprises
is
beneficial
advancement
A
balance
necessary,
as
both
excessive
weak
hinder
industry’s
development.
ii)
Increased
financial
assistance
from
producing
positive
influence.
enables
overcome
technical
barriers,
drive
technological
innovation,
encourage
construction
developers
actively
purchase
these
materials.
iii)
Stronger
punishment
pollutant
by
serves
catalyst
production
GIBMs.
Stricter
penalties
motivate
adopt
more
environmentally
friendly
practices.
iv)
Moderate
strong
investment
infrastructure
significant
impact.
It
prompts
choose
In
response
market
demand,
are
inclined
produce
study
emphasizes
importance
By
implementing
appropriate
measures,
providing
assistance,
imposing
punishments
pollution,
investing
infrastructure,
can
effectively
These
measures
contribute
achieving
double
goals
fostering
sustainable
built
environment.
Digital
technology
is
gradually
penetrating
into
all
kinds
of
business
green
innovation
and
development.
However,
China’s
industrial
Internet
foundation
weak.
Scholars’
researches
on
the
impact
digital
strategic
orientation
(DGSO)
performance
(DGIP)
intermediary
role
model
(DGBMI)
relatively
backward.
Therefore,
it
particularly
important
to
divide
dimensions
DGSO
from
perspective
DGBMI
describe
mechanism
DGIP.
In
this
study,
multiple
regression
approach
was
used
test
effect
The
mediating
explored
through
562
questionnaires.
addition,
study
divides
three
dimensions:
market
(GMO),
(DGTO),
government
orientation.
divided
two
efficiency
type
integration
type.
results
are
as
follows.
(1)
GMO,
DGTO
have
positive
effects
improvement
(2)
GMO
has
a
greater
(IDGBMI).
influence
efficient
(EDGBMI)
more
significant.
(3)
Government
EDGBMI.
DGIP
can
be
realized
EDGBMI
IDGBMI.
essence
research
help
enterprises
understand
characteristics
internal
external
environment
make
digital-green
strategy-oriented
choices
improve
their
This
certain
theoretical
contribution
elucidating
DGBMI.
also
provides
practical
basis
for
enterprises’
practice
based
own
environmental
optimization
matching
competitiveness.
Resources Environment and Sustainability,
Год журнала:
2023,
Номер
14, С. 100135 - 100135
Опубликована: Сен. 9, 2023
Exploring
the
impact
of
technological
innovation
on
carbon
efficiency
is
conducive
to
achieving
a
better
low-carbon
transition
and
thus
reaching
sustainable
development
goals.
However,
academic
community
still
has
no
consensus
about
efficiency.
China
vast
country
with
differences
in
resource
endowment
economic
different
regions.
Therefore,
this
paper
first
assesses
level
emission
through
panel
data
30
provinces
China.
Then,
PVAR
(Panel
Vector
Autoregressive)
model
utilized
explore
regional
The
findings
reveal
that:
First,
shows
continuous
trend,
but
as
whole
relatively
low.
Technological
western
far
behind
that
eastern
Second,
China's
generally
at
high
trend
from
rise
fall.
higher
than
central
China,
Third,
impulse
response
reveals
influence
experienced
change
negative
positive
impact.
initial
negative,
largest
seen
(-0.100),
followed
by
area
(-0.050),
finally
region
(-0.005).
After
one
period,
turned
have
effect
emission,
having
most
(0.060),
(0.010),
ranking
last
(0.001).
above
implications
for
formulation
policies
regions
improve
emissions
accordance
local
conditions.
Ecological Indicators,
Год журнала:
2023,
Номер
157, С. 111147 - 111147
Опубликована: Ноя. 9, 2023
Green
technology
innovation
(GTI)
is
one
of
the
most
important
factors
influencing
agricultural
carbon
emission
intensity
(ACEI).
Various
studies
have
explored
impact
GTI
on
ACEI,
but
path
mechanism
has
not
been
fully
explained.
This
study
incorporates
and
ACEI
into
constant
elasticity
substitution
(CES)
production
function
constructs
a
theoretical
model
to
analyse
their
direct
mechanisms.
Drawing
effect
theory
Marshall–Arrow–Romer
(MAR)
externalities
theory,
this
introduces
two
regulatory
mechanisms:
optimization
energy
structure
industry
agglomeration
(AIG).
Additionally,
it
explores
pathway
mechanisms
under
influence
spatial
spillover
effects
based
Tobler's
first
law
geography.
Then,
taking
Jiangsu
Province
in
China
as
case
study,
empirical
tests
are
conducted
using
LSDVC
dynamic
SAR
models.
The
results
follows.
(1)
effectively
inhibits
directly,
significantly
positive
reduction
short
long
terms.
(2)
Energy
positively
regulates
reduction,
nearby
cities
may
help
restrain
local
city
term.
(3)
AIG
regulating
reducing
moderating
(4)
When
both
pathways
employed
simultaneously,
or
neighbouring
areas
expected
become
ineffective.
These
findings
useful
for
solving
problem
by
managing
transfer
distribution
between
different
regions,
considering
effects.
