How does digital government affect carbon intensity at the global level? New perspective of resource allocation optimization
Yanchao Feng,
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Gaoxiang Liu,
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Xiangxu Meng
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et al.
Resources Policy,
Journal Year:
2024,
Volume and Issue:
94, P. 105108 - 105108
Published: May 30, 2024
Language: Английский
Can government digital transformation improve corporate energy efficiency in resource-based cities?
Jiaomei Tang,
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Wanting Li,
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Jin‐Li Hu
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et al.
Energy Economics,
Journal Year:
2024,
Volume and Issue:
141, P. 108043 - 108043
Published: Nov. 13, 2024
Language: Английский
A Machine Learning and Fuzzy Logic Model for Optimizing Digital Transformation in Renewable Energy: Insights into Industrial Information Integration
Journal of Industrial Information Integration,
Journal Year:
2024,
Volume and Issue:
42, P. 100734 - 100734
Published: Nov. 1, 2024
Language: Английский
Discovering the E-Government and COVID-19 Effect on Sustainable Development: Novel Findings from the China Provinces
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(13), P. 5437 - 5437
Published: June 26, 2024
This
paper
investigates
the
effect
of
E-government
(EG)
and
COVID-19
on
environmental
sustainability
(ES),
considering
Load
Capacity
Curve
(LCC)
in
Chinese
provinces,
which
employs
panel
MMQR
method.
study
reveals
that
initiatives
positively
impact
sustainability,
with
a
1%
increase
effectiveness
leading
to
rise
ES
between
0.05%
0.40%.
Conversely,
has
pronounced
negative
particularly
at
medium
quantiles.
The
results
also
report
non-LCC
hypothesis
provinces.
Dumitrescu–Hurlin
(DH)
causality
outcome
indicates
bi-directional
causal
association
practices
unidirectional
link
from
sustainability.
These
findings
highlight
policy
implication
critical
role
promoting
despite
challenges
posed
by
economic
demographic
factors.
Language: Английский