The Impact of Food Import Competition Effects on Water–Land–Food System Coordination: A Perspective from Land Use Efficiency for Food Production in China
Ziqiang Li,
No information about this author
Weijiao Ye,
No information about this author
Ciwen Zheng
No information about this author
et al.
Agriculture,
Journal Year:
2025,
Volume and Issue:
15(8), P. 819 - 819
Published: April 9, 2025
The
exchange
of
food
commodities
significantly
contributes
to
alleviating
the
strain
on
land
used
for
agricultural
production
by
linking
areas
rich
in
with
those
facing
resource
limitations.
This
study
employs
entropy
weight–TOPSIS
method
measure
water–land–food
system,
utilizes
a
two-way
fixed-effects
model
examine
impact
import
competition
coordination
and
applies
spatial
Durbin
explore
spillover
effects
this
impact.
findings
indicate
following:
(1)
average
level
WLF
system
China
stands
at
0.317,
showing
considerable
variability.
all
regions
initially
decreased
then
increased
period
studied,
northeast
region
exhibiting
highest
coordination.
(2)
competitive
effect
domestic
foreign
costs
driven
imports
has
positive
system.
For
every
100,000
hectares
saved
through
effect,
China’s
increases
0.002.
However,
once
exceeds
1.5
million
hectares,
importing
country’s
market
becomes
excessive
starts
have
negative
effect.
(3)
Split-sample
regression
revealed
that
is
stronger
southern
compared
northern
region.
Additionally,
increase
more
pronounced
major
than
non-major
areas.
(4)
Based
results
econometric
model,
not
only
within
but
also
positively
impacts
neighboring
regions.
(5)
use
efficiency
acts
as
conduit
Language: Английский
Does digital literacy affect farmers’ adoption of agricultural social services? An empirical study based on China Land Economic Survey data
Yanfei Wang,
No information about this author
Guandong Xu,
No information about this author
Jie Cao
No information about this author
et al.
PLoS ONE,
Journal Year:
2025,
Volume and Issue:
20(4), P. e0320318 - e0320318
Published: April 23, 2025
Agricultural
social
services
(ASS)
are
crucial
in
alleviating
resource
constraints
and
advancing
agricultural
modernization.
Using
the
data
derived
from
China
Land
Economic
Survey
(CLES2022),
this
study
empirically
investigates
how
digital
literacy
influences
farmers’
adoption
of
ASS,
employing
both
Probit
Propensity
score
matching
(PSM)
models.
Additionally,
it
explores
mediating
roles
long-term
production
vision
part-time
employment
degrees
relationship.
The
findings
are:
(1)
exhibited
a
statistically
significant
positive
effect
on
ASS
at
1%
level.
Moreover,
impact
varied
among
participants
technology
training,
different
education
levels,
varying
levels
risk
preference;
(2)
act
as
mediators,
enhancing
ASS.
Based
these
findings,
recommendations
have
been
developed
to
improve
literacy,
promote
enhance
well
degree
part-time.
Language: Английский
The Role of Agricultural Socialized Services in Unlocking Agricultural Productivity in China: A Spatial and Threshold Analysis
Yu Bai,
No information about this author
Yuheng Wei,
No information about this author
Ruofan Liao
No information about this author
et al.
Agriculture,
Journal Year:
2025,
Volume and Issue:
15(9), P. 957 - 957
Published: April 28, 2025
Amid
global
economic
transformation,
a
persistent
productivity
gap
exists
between
developed
and
developing
nations
in
agriculture
sector,
shaped
by
technological
advancements
shifting
resource
allocation
patterns.
Agricultural
socialized
services
(ASS),
defined
as
organized
systems
providing
technical
support,
mechanization
assistance,
information
services,
market
linkages,
optimization
to
farmers,
have
emerged
critical
mechanisms
for
agricultural
development.
In
economies,
these
catalyze
gains
labor
through
the
integration
of
advanced
technologies
farming
practices.
Using
panel
data
from
30
Chinese
provinces
during
2011
2022,
this
study
investigates
relationship
ASS
ALP,
focusing
on
regional
heterogeneity,
threshold
effects,
spatial
spillovers.
The
combination
econometric
methods
analysis
was
selected
its
unique
capacity
capture
both
geographic
interdependencies
nonlinear
relationships
that
characterize
development
processes.
These
thresholds
at
5.254
8.478
represent
points
where
impact
ALP
significantly
changes
magnitude,
revealing
evolves
across
different
stages
highlights
notable
disparities
ASS.
Specifically,
is
more
effective
eastern,
central
key
food-producing
regions,
while
relatively
weak
western
non-food-producing
regions.
Spatial
spillover
indicates
create
positive
externalities,
extending
beyond
their
immediate
implementation
zones
facilitating
inter-provincial
cooperation
findings
provide
crucial
guidance
policymakers
service
providers
optimize
delivery
strategies.
By
identifying
variations,
research
offers
evidence-based
support
government
officials
designing
targeted
policies
enterprises
region-specific
models
foster
sustainable
growth
diverse
landscapes.
Language: Английский
How Socialized Services Affect Agricultural Economic Resilience—Empirical Evidence from China
Heng Zhang,
No information about this author
Xiuguang Bai,
No information about this author
Mao Zhao
No information about this author
et al.
Agriculture,
Journal Year:
2024,
Volume and Issue:
14(10), P. 1773 - 1773
Published: Oct. 8, 2024
Socialized
services
are
crucial
for
addressing
the
issue
of
“who
will
farm
land”
and
subsequently
enhancing
agricultural
economic
resilience
(AER).
However,
few
studies
have
examined
mechanisms
effects
socialized
on
AER.
Consequently,
this
study
aims
to
elucidate
impact
AER,
with
objective
providing
new
policy
recommendations
AER
ensuring
food
security.
Based
provincial
panel
data
from
China
spanning
2009
2021,
paper
examines
using
a
two-way
fixed
model,
mediated
threshold
model.
The
findings
reveal
that
significantly
enhance
Mechanism
analysis
indicates
by
accelerating
substitution
machinery
manpower
promoting
efficiency
labor
division.
Heterogeneity
in
regions
high
grain
cropping
ratios
internet
penetration
rates,
enhancement
effect
is
stronger.
Further
uncovers
significant
nonlinear
becomes
more
pronounced
when
surpasses
0.4689.
argues
process
constructing
modern
business
system,
it
essential
focus
improving
differentiated
service
system
development
rural
digital
infrastructure.
Language: Английский