Abstract
Agri-environmental
schemes
(AESs)
play
a
pivotal
role
in
aligning
agricultural
practices
with
environmental
objectives,
promoting
sustainable
land
management,
and
conserving
biodiversity.
This
article
presents
comprehensive
synthesis
of
recent
advancements
AES
research
within
the
European
Union
context,
focusing
on
ecological,
economic,
socio-political
dimensions.
Through
systematic
review
literature
published
since
2013,
we
identify
emerging
trends,
gaps,
priorities,
providing
novel
insights
into
effectiveness.
We
examine
factors
that
influence
participation
such
as
biodiversity,
habitat
fragmentation,
ecosystem
services.
also
explore
economic
influencing
farmer
participation,
including
financial
incentives,
income
stability,
cost–benefit
analysis.
Furthermore,
investigate
dimensions
AES,
institutional
frameworks,
stakeholder
engagement,
trust
programme
implementation.
Key
findings
highlight
need
for
adaptive
management
strategies,
incentive
structures
aligned
inclusive
governance
mechanisms
to
enhance
Our
underscores
importance
context-specific
approaches
account
farm
characteristics,
socio-economic
factors,
arrangements.
Practical
implications
policymakers,
practitioners,
stakeholders
are
discussed,
emphasizing
evidence-based
policymaking
iterative
learning
agriculture
conservation.
Sustainable Development,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 1, 2025
ABSTRACT
Gender
dynamics
in
agricultural
sustainability,
particularly
within
the
framework
of
Agri‐Environmental‐Climate‐Schemes
(AECS),
play
a
critical
role
advancing
green
entrepreneurship.
This
study
explores
gender‐based
differences
adoption
and
intensity
AECS
practices
among
Hungarian
farms,
emphasising
implications
for
gender
equality
sustainable
development.
Utilising
Farm
Accountancy
Data
Network
panel
data
from
2014
to
2021,
we
apply
Blinder‐Oaxaca
Recentered
Influence
Function
decomposition
models
dissect
disparities
engagement
between
male‐
female‐headed
farms.
Findings
indicate
that,
while
male‐headed
farms
receive
greater
subsidies
due
larger
economic
scales
resource
availability,
demonstrate
comparable
levels
when
controlled
these
factors.
These
insights
highlight
potential
gender‐sensitive
policies
European
Union's
Common
Agricultural
Policy
empower
female
farmers
entrepreneurship
practices.
The
study's
findings
contribute
broader
understanding
gender's
influence
on
development
agriculture,
with
significant
policy
frameworks
that
support
inclusive
climate‐resilient
globally.
Sustainability,
Год журнала:
2025,
Номер
17(2), С. 796 - 796
Опубликована: Янв. 20, 2025
Climate
change
and
environmental
degradation
present
significant
ongoing
challenges
to
the
agricultural
sector.
Formal
education
has
been
shown
equip
farmers
with
knowledge
skills
needed
improve
their
performance
address
these
problems.
However,
there
is
a
notable
gap
in
literature
regarding
comprehensive
review
of
how
farmers’
impacts
outcomes.
This
paper
aims
bridge
that
by
synthesizing
results
studies
exploring
role
explaining
performance.
To
this
end,
we
conducted
systematic
existing
literature.
We
organised
resulting
127
into
thematic
groups
provide
corresponding
overviews.
Subsequently,
vote-count
analysis
reported
direction
statistical
significance
effects
associations
between
observe
reporting
at
variable
level
rather
than
overall
study
may
have
led
importance
for
specific
being
overlooked.
suggest
way
variables
are
constructed
can
influence
studies,
leaving
open
interpretation.
The
findings
requisite
evidence
base
inform
development
effective
policy
measures
enhance
sustainability
farming.
PLOS Sustainability and Transformation,
Год журнала:
2025,
Номер
4(3), С. e0000162 - e0000162
Опубликована: Март 3, 2025
Much
of
the
land
across
European
Union
(EU)
is
threatened
by
unsustainable
land-use
through
intensive
farming.
To
help
combat
this,
Agri-Environmental
Schemes
(AESs)
are
provided
EU
to
encourage
farmers
use
a
portion
their
aid
with
environmental
goals
such
as
sustainable
farming,
bio-diversity
or
landscape
recovery.
Farmers
in
given
opportunity
take
on
an
AES
for
monetary
payment
that
based
choice
scheme
and
amount
dedicated
it.
If
we
know
can
accurately
predict
which
adopt
AES,
then
if
intended
benefits
environment
according
likely
be
achieved.
As
preliminary
step,
develop
generalised
linear
model
coupled
microsimulation
fed
data
from
Farm
Accountancy
Data
Network
uptake.
We
find
able
approximately
70%
farmers’
decisions
whether
27
countries
EU.
In
future,
this
used
predict,
example,
chosen
schemes
adopted
will
lead
benefits,
changes
offered
may
affect
adoption.
