Climate,
Journal Year:
2024,
Volume and Issue:
12(12), P. 202 - 202
Published: Nov. 29, 2024
Climate-smart
agriculture
(CSA)
is
a
transformative
approach
to
farming
that
aims
meet
the
demands
of
increasing
food
production
under
growing
pressures
climate
change.
CSA’s
goals
are
boost
agricultural
productivity,
enhance
resilience
impacts,
and
reduce
greenhouse
gas
emissions.
Thus,
study
explored
farmers’
socio-demographic
factors
influencing
adoption
CSA
in
sustainable
crop
production.
The
was
carried
out
Bushbuckridge,
Mpumalanga
province
South
Africa,
with
focus
on
smallholder
producers
area.
surveyed
300
farmers
employed
simple
random
sampling,
structured
questionnaires,
binary
logistic
regression
model
for
data
analysis.
significant
positive
variables
relevant
climate-smart
practices
were
level
education
(p
<
0.014),
household
size
0.007),
farm
experience
0.053),
farmland
fertility
0.047).
Therefore,
be
adopted
by
producers,
targeted
needed
address
this
issue.
support
training
bridge
literacy
gap
among
overall
aim
improving
their
understanding
change
can
mitigate
effects
A
continued
decline
in
food
production
and
productivity
could
render
the
goals
of
achieving
security
eliminating
hunger
far
from
reach-objectives
at
core
first
United
Nations'
Seventeen
Sustainable
Development
Goals.
Hence,
efforts
have
been
made
to
develop
adaptation
strategies
against
drought
stress,
one
which
is
climate-smart
maize
varieties
(CSMVs).
The
study
aims
analyse
effects
CSMVs
on
farmers’
Kaduna
State
Nigeria.
total
260
farmers
a
sample
frame
1,053,
across
three
agricultural
zones
state
were
randomly
selected
interviewed
2022/2023
cropping
season.
Descriptive
statistics,
ordinary
least
squares
regression
ordered
logit
used
analyze
data.
descriptive
statistics
show
that
female
participation
generally
low,
although
relatively
higher
among
adopters
(19%)
than
non-adopters
(16.67%).
Only
10%
access
extension
services
compared
53%
adopters.
While
83.33%
no
formal
education,
only
20%
fall
into
this
category.
OLS
results
shows
adoption
significantly
increases
output,
slightly
average
output
2,467
kg
per
ha
2,220
for
non-adopters.
coefficients
age,
farm
size
credit
positive
statistically
significant
while
gender
was
also
but
negative.
Adoption
contact
predictors
improved
level
education
social
organisation
negative
relationship
with
security.
concludes
be
attributed
availability
information
through
services,
credit,
influence
area.
Agricultural
institutions
non-governmental
organizations
(NGOs)
should
focus
promoting
varieties,
ensuring
women
older
are
adequately
supported,
provide
land
boost
efficiency
order
improve
productivity.
Keywords:
Adopters,
non-Adopters,
(CSMVs),
Food
Consumption
Score
(FCS)
SAGE Open,
Journal Year:
2025,
Volume and Issue:
15(2)
Published: April 1, 2025
There
is
growing
concern
that
climate
change
will
worsen
poverty
and
food
insecurity,
particularly
in
developing
countries,
hindering
the
achievement
of
Sustainable
Development
Goals
(SDG)
1
(No
Poverty)
2
(Zero
Hunger).
Rural
populations
are
expected
to
be
severely
impacted,
as
75%
poorest
people
these
areas,
especially
Africa,
depend
primarily
on
agriculture.
Although
adopting
precision
agriculture
smart
farming
has
been
recommended
counter
adverse
effects
production,
farmers
continue
face
increasing
challenges
from
despite
support
Agricultural
Advisors
(AAs).
The
study
intended
assess
provided
by
AAs
focusing
mainly
dissemination
information
farmers.
This
employed
a
qualitative
research
design,
collecting
data
six
focus
group
discussions
Ezinqoleni
uMzumbe
local
municipalities
Ugu
district
KwaZulu-Natal.
were
analyzed
using
reflexive
thematic
analysis
with
NVivo14
software.
Results
indicate
while
smallholder
area
aware
change,
they
lack
access
relevant
help
them
cope
adapt.
also
reveals
areas
not
providing
useful
or
advice
assist
adapting
leaving
vulnerable
its
effects.
strongly
recommends
South
Africa
currently
policy
capacity
building
should
priority.
By
high-quality
inclusive
sustainable
adaptation
strategies,
better
understand
importance
prioritizing
adaptation.
Land,
Journal Year:
2025,
Volume and Issue:
14(5), P. 1080 - 1080
Published: May 16, 2025
This
study
examines
the
impact
of
structural
characteristics
agricultural
holdings
on
their
performance
and
contribution
to
rural
development
in
EU
countries
over
past
decade
identify
potential
measures
enhance
development.
The
results
paired
samples
t-test
reveal
a
shift
agriculture
between
2010
2020
toward
larger,
more
productive,
capital-intensive
farms
alongside
decline
small-scale
subsistence
farming,
improved
incomes,
economic
growth.
However,
persistent
challenges
such
as
depopulation,
declining
employment,
ongoing
poverty
remain.
A
cluster
analysis
identified
five
distinct
models
reflects
some
notable
transitions:
Eastern
European
increasingly
moved
mixed
farming
(e.g.,
Latvia,
Lithuania,
Hungary)
or
large-scale
commercial
Czech
Republic,
Estonia,
Slovakia),
became
concentrated
Bulgaria
Romania,
Western
Northern
maintained
high
levels
modernization,
with
Ireland
progressing
Netherlands
standing
out
high-tech
model.
clusters
underline
need
for
regionally
tailored
policies.
Hierarchical
regression
shows
that
while
improvements
performance,
particularly
increased
labor
productivity,
contribute
GDP
per
capita
growth,
they
have
limited
poverty.
Therefore,
enhancing
sustainable
requires
comprehensive
integrated
strategies
not
only
promote
productivity-driven
reforms
innovation
advanced
systems
but
also
address
specific
needs
lagging
through
transformation,
capacity
building,
targeted
support.
Mitigation and Adaptation Strategies for Global Change,
Journal Year:
2024,
Volume and Issue:
29(3)
Published: March 1, 2024
Abstract
Climate
change
threatens
the
livelihoods
of
Sub-Saharan
African
farmers
through
increased
droughts.
Livestock
donation
programs
offer
a
potential
solution,
but
their
effectiveness
under
climate
stress
remains
unclear.
This
study
assesses
economic
viability
integrating
climate-smart
technologies
(cowsheds
and
biogas
plants)
into
these
in
Rwanda.
Using
stochastic
benefit–cost
analysis
from
beneficiary
perspective,
we
evaluate
net
gains
for
households
receiving
heifers
compared
to
current
program.
Our
findings
reveal
that
significantly
enhances
viability.
Households
with
cows
can
possibly
realise
benefits
3.5
times
higher
than
program,
ratios
reaching
5:1.
Beyond
benefits,
adopting
reduces
deforestation,
greenhouse
gas
emissions,
respiratory
illness
risks.
demonstrates
livestock
generate
positive
economic,
environmental,
health
leading
more
resilient
sustainable
smallholder
systems.
However,
overcoming
implementation
challenges
requires
tailored
policy
packages
addressing
local
barriers.
