Eco-agricultural
technology
is
crucial
to
alleviating
agricultural
resource
scarcity
and
environ-mental
pressures.
However,
financial
constraint
affects
its
successful
promotion.
Digital
finance
has
a
significant
impact
on
farmers,
but
existing
research
lacks
an
exploration
of
the
digital
farmers'
adoption
eco-agricultural
technology.
This
study
focuses
Rice–Crayfish
Co-cultivation
Technology
as
example.
It
utilizes
survey
data
from
1,063
households
in
China.
An
Endogenous
Switching
Probit
model
employed
solve
self-selection
bias.
The
results
reveal
several
key
findings.
First,
average
treatment
effect
treated
51.5%.
indicates
that
if
farmers
who
use
were
stop
using
it,
probability
adopting
rice–crayfish
co-cultivation
would
decrease
by
Therefore,
beneficial
for
this
Second,
heterogeneity
analysis
reveals
greater
promoting
older
those
with
lower
education
levels,
higher
proportions
income.
suggests
reliance
services
among
vulnerable
groups.
Third,
promotes
constraints,
expanding
information
channels,
increasing
social
capital
accumulation.
Overall,
findings
offer
valuable
insights
for-mulating
supportive
policies.
Agriculture,
Год журнала:
2024,
Номер
14(10), С. 1677 - 1677
Опубликована: Сен. 25, 2024
Exploring
the
adoption
of
green
production
technologies
by
farmers
(GTA)
is
great
significance,
given
context
global
climate
change
and
sustainable
agricultural
development.
This
article
starts
from
perspective
transformation
farmland
transfer
market,
based
on
research
data
2076
farmers,
uses
endogenous
disposal
effect
model
to
examine
its
impact
GTA.
The
results
indicate
that
China’s
market
has
a
significant
“greening”
agriculture.
Specifically,
paid
farmland,
written
leases,
clear
lease
forms
promote
GTA,
while
acquaintance
transactions
are
not
conducive
it.
Participation
in
increased
likelihood
GTA
18.7%
statistically
at
1%
level.
However,
level
technology
ordinary
remains
low,
achieving
development
agriculture
long
arduous
task.
Mechanism
analysis
shows
can
effectively
enhance
increasing
scale
operations,
farmers’
income,
mechanization
levels.
When
targets
new
business
entities,
such
as
family
farms,
professional
cooperatives,
enterprises,
it
significantly
promotes
findings
suggest
deepening
reform
promoting
large-scale
strengthening
application
technologies,
improving
mechanization,
accelerating
process
all
essential
steps
toward
enhancing
and,
ultimately,
Journal of Cleaner Production,
Год журнала:
2023,
Номер
434, С. 139762 - 139762
Опубликована: Ноя. 15, 2023
Rational
decision
or
moral
norm
factors
are
often
used
to
explain
pro-environmental
behavior.
However,
the
types
of
that
influence
farmers'
high-cost
production
behavior
(climate
change
adaptation
and
mitigation)
have
not
been
explored.
In
response,
this
study
constructed
competitive
models
from
multi-theoretical
perspective,
including
Theory
Planned
Behavior
(TPB)
Value-Identity-Personal
(VIP)
model,
which
demonstrated
rational
decision-making
factors,
respectively.
We
collected
data
912
farmers
in
Jiangsu
Shaanxi
provinces
China
by
means
a
questionnaire
survey
empirically
tested
explanatory
power
via
partial
least
squares-structural
equation
modeling
(PLS-SEM).
The
findings
suggested
perceived
behavioral
control
attitudes,
better
predictors
climate
coping
than
such
as
subjective
norms.
There
remained
disconnect
between
willingness
mitigate
formed
actual
behavior,
who
actually
adopted
mitigative
climate-change
behaviors
still
faced
difficulties
had
no
over
outcome.
addition,
effect
altruistic
values
on
mitigating
(which
predicts
future
benefits)
was
more
pronounced.
These
pointed
rationality
primary
driver
motivation
agricultural
production,
whereas
morality
weak.
Agriculture,
Год журнала:
2024,
Номер
14(4), С. 611 - 611
Опубликована: Апрель 13, 2024
Eco-agricultural
technology
is
crucial
in
alleviating
agricultural
resource
scarcity
and
environmental
pressures.
However,
financial
constraints
affect
its
successful
promotion.
Digital
finance
significantly
impacts
farmers.
existing
research
neglects
the
impact
of
digital
on
farmers’
adoption
eco-agricultural
technology.
This
study
focuses
rice-crayfish
co-cultivation
It
utilizes
survey
data
from
1063
households
China.
An
endogenous
switching
probit
model
employed
to
solve
self-selection
bias.
The
results
are
as
follows:
First,
average
treatment
effect
51.5%.
indicates
that
if
farmers
who
use
were
stop
using
it,
probability
adopting
would
decrease
by
Therefore,
beneficial
for
this
Second,
heterogeneity
analysis
shows
promoting
a
greater
older
farmers,
those
with
lower
education
levels
higher
proportions
income.
suggests
reliance
services
among
vulnerable
groups.
Third,
promotes
constraints,
expanding
information
channels,
increasing
social
capital
accumulation.
Overall,
findings
offer
valuable
insights
formulating
supportive
policies.
Technological Forecasting and Social Change,
Год журнала:
2024,
Номер
204, С. 123430 - 123430
Опубликована: Май 13, 2024
Achieving
'net-zero'
has
become
a
major
concern
for
governments
worldwide.
For
this
momentous
transition
to
be
realised,
individual
citizens
must
motivated
adopt
'cleaner'
innovative
technologies
reduce
their
carbon
footprint.
Against
backdrop,
our
study
investigates
factors
that
may
encourage
or
inhibit
the
intention
renewable
energy
(specifically
Solar
photovoltaics
(PV))
among
home-owning
Saudi
consumers.
Drawing
on
theory
of
planned
behaviour,
we
examine
relationship
between
demographic
variables
and
consumers'
attitudes
toward
(RE)
new
RE
technology.
Our
findings
reveal
lack
consumer
knowledge
about
is
obstacle
PV
adoption
Moreover,
environmental
beliefs
not
lead
directly
an
RE,
even
though
it
associated
with
favourable
Finally,
social
influence
crucial
when
promoting
These
are
essential
considerations
policymakers
note
act
constructing
policy.
Journal of Dairy Science,
Год журнала:
2023,
Номер
107(5), С. 2968 - 2982
Опубликована: Дек. 14, 2023
Precision
dairy
tools
(PDT)
can
provide
timely
information
on
individual
cow's
physiological
and
behavioral
parameters,
which
lead
to
more
efficient
management
of
the
farm.
Although
economic
rationale
behind
adoption
PDT
has
been
extensively
discussed
in
literature,
socio-psychological
aspects
related
these
technologies
have
received
far
less
attention.
Therefore,
this
paper
proposes
a
model
that
builds
upon
theory
planned
behavior
develops
hypotheses
regarding
cognitive
constructs,
their
interaction
with
farmers'
perceived
risks
social
networks,
overall
influence
adoption.
These
are
tested
using
generalized
structural
equation
for
(a)
automatic
milking
systems
(AMS)
farms
(b)
usually
adopted
AMS.
Results
show
is
affected
directly
by
intention,
effects
subjective
norms,
control,
attitudes
mediated
through
intention.
A
unit
increase
control
score
associated
an
marginal
probability
AMS
0.05
0.19,
respectively.
Subjective
norms
0.009
0.05,
results
suggest
exerts
stronger
PDT,
particularly
compared
norms.
Technology-related
networks
0.026
0.10,
Perceived
negatively
affect
0.042
0.16,
respectively,
having
negative
attitudes,
self-confidence,
intentions.
imply
integrating
farmers
within
knowledge-sharing
minimizing
technologies,
enhancing
confidence
ability
use
significantly
enhance
uptake.
