The Scientific World JOURNAL,
Journal Year:
2025,
Volume and Issue:
2025(1)
Published: Jan. 1, 2025
Background:
Foreign
direct
investment
(FDI)
is
a
steadfast
contributor
to
capital
flows
and
plays
an
indispensable
role
in
driving
economic
advancement
emerging
as
pivotal
avenue
for
financing
growth
Bangladesh.
Therefore,
this
study
identifies
the
factors
that
influence
FDI
inflows
Moreover,
authors
explored
more
appropriate
model
predicting
by
comparing
efficacy
of
other
models’
predictions.
Methods:
This
based
on
secondary
data
over
period
1973
2021
collected
from
publicly
accessible
website
World
Bank.
A
generalized
additive
(GAM)
was
implemented
describing
proper
splines.
The
model’s
performance
assessed
using
modified
R
‐squared,
Bayesian
information
criterion
(BIC),
Akaike
(AIC).
Results:
Findings
depict
significant
nonlinear
relationship
between
Bangladesh’s
key
indicators,
including
GDP,
trade
openness,
external
debt,
gross
formation,
national
income
(GNI)
government
rates
exchange,
total
reserves,
natural
resource
rent.
It
also
observed
GAM
(
2
=
0.987,
I
C
608.03,
B
658.28)
outperforms
multiple
linear
regressions
polynomial
regression
FDI,
emphasizing
superiority
capturing
complex
relationships
improving
predictive
accuracy.
Conclusion:
along
with
covariates
considered
study.
believed
study’s
findings
would
assist
taking
efficient
initiatives
management
proactive
indicator
optimization
empower
resilience
foster
sustainable
growth.
analysis
revealed
its
related
risk
follow
pattern.
recommends
reliable
method
suggest
can
guide
policymakers
developing
strategies
increase
inflows,
stimulate
growth,
ensure
development
Water Science & Technology Water Supply,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 13, 2025
ABSTRACT
Agriculture
is
predominantly
practiced
in
the
Cuddalore
district,
Tamil
Nadu,
India.
The
aim
of
this
research
work
to
examine
groundwater
suitability
for
drinking
and
irrigation
activities
identify
factors
influencing
quality.
Physicochemical
parameters
such
as
pH,
total
dissolved
solids,
calcium,
magnesium,
sodium,
potassium,
chloride,
sulphate,
bicarbonate
nitrate
are
obtained
62
samples
(pre-monsoon
post-monsoon
seasons).
Based
on
water
quality
index
(DWQI),
most
were
good
purposes
region.
with
elevated
DWQI
needs
treatment
before
consumption.
EC,
Na%,
SAR,
MH
KR
integrated
produce
a
single
(IWQI);
it
showed
that
region
agricultural
usage.
Only
few
poor
In
these
areas,
surface
rainwater
should
be
considered
alternative
sources.
There
slight
decrease
concentration
ions
during
due
dilution
dissolution
processes.
A
multilinear
regression
model
also
developed
predict
IWQI.
scatter
diagram
between
various
depicts
geochemical
process
anthropogenic
sources
influence
Applied Water Science,
Journal Year:
2025,
Volume and Issue:
15(3)
Published: Feb. 19, 2025
Abstract
Groundwater
is
an
essential
source
for
drinking
purposes;
hence,
a
qualitative
analysis
necessary
groundwater
resources.
This
study
aims
to
assess
the
impacts
of
dynamic
land
use
cover
(LULC)
and
climatic
conditions
on
quality
purposes.
The
investigative
research
used
water
index
(WQI)
analyze
identified
using
LULC
map
conditions.
It
extends
integrated
combined
approach
different
aspects.
provides
comprehensive
understanding
how
various
factors
influence
quality.
total
area
classified
as
excellent,
good,
poor,
very
unfit
consumption
based
WQI.
results
concluded
that
only
10.17%
has
excellent
quality,
19.97%
good
9.013%
5.73%
have
poor
respectively,
55%
consumption.
indicated
areas
with
agricultural
expansion,
urban
development,
some
natural
such
topographic
features
high
soil
erodibility
led
dissolved
solids,
electrical
conductivity
levels,
heavy
metals.
main
lead
contamination
include
expansion
development.
On
other
hand,
conditions,
variations
in
temperature
precipitation,
also
influenced
aids
examining
perspectives,
which
will
lend
hand
managers
make
suitable
decisions
sustainable
development
plans
conserve
economically
important
region.
The Scientific World JOURNAL,
Journal Year:
2025,
Volume and Issue:
2025(1)
Published: Jan. 1, 2025
Background:
Foreign
direct
investment
(FDI)
is
a
steadfast
contributor
to
capital
flows
and
plays
an
indispensable
role
in
driving
economic
advancement
emerging
as
pivotal
avenue
for
financing
growth
Bangladesh.
Therefore,
this
study
identifies
the
factors
that
influence
FDI
inflows
Moreover,
authors
explored
more
appropriate
model
predicting
by
comparing
efficacy
of
other
models’
predictions.
Methods:
This
based
on
secondary
data
over
period
1973
2021
collected
from
publicly
accessible
website
World
Bank.
A
generalized
additive
(GAM)
was
implemented
describing
proper
splines.
The
model’s
performance
assessed
using
modified
R
‐squared,
Bayesian
information
criterion
(BIC),
Akaike
(AIC).
Results:
Findings
depict
significant
nonlinear
relationship
between
Bangladesh’s
key
indicators,
including
GDP,
trade
openness,
external
debt,
gross
formation,
national
income
(GNI)
government
rates
exchange,
total
reserves,
natural
resource
rent.
It
also
observed
GAM
(
2
=
0.987,
I
C
608.03,
B
658.28)
outperforms
multiple
linear
regressions
polynomial
regression
FDI,
emphasizing
superiority
capturing
complex
relationships
improving
predictive
accuracy.
Conclusion:
along
with
covariates
considered
study.
believed
study’s
findings
would
assist
taking
efficient
initiatives
management
proactive
indicator
optimization
empower
resilience
foster
sustainable
growth.
analysis
revealed
its
related
risk
follow
pattern.
recommends
reliable
method
suggest
can
guide
policymakers
developing
strategies
increase
inflows,
stimulate
growth,
ensure
development
