Government policy on ensuring food security: Bibliometric analysis
Problems and Perspectives in Management,
Год журнала:
2025,
Номер
23(1), С. 496 - 514
Опубликована: Март 19, 2025
Understanding
the
role
of
government
policy
in
advancing
sustainable
development
goals
and
food
sovereignty
is
key
to
building
security
system
resilience.
This
study
leverages
bibliometric
analysis
Scopus
data
using
tools
like
Biblioshiny
explore
global
research
trends
on
interrelationship
between
policies
agrarian
sector
security.
The
methodology
involves
structured
collection,
cleaning,
metadata
keywords,
revealing
growth
publications
since
1980s,
with
significant
increases
post-2000
due
heightened
concerns.
peak
publication
2023
connected
war
Ukraine,
disruptions
it
caused
security,
functioning
grain
corridor
agreements.
From
1922
2000,
studies
focused
broad
themes
agricultural
Between
2001
2010,
attention
shifted
markets,
sovereignty,
production,
Common
Agricultural
Policy.
2011
2025,
expanded
climate-smart
agriculture,
dietary
diversity,
foreign
investment,
technological
advancements
remote
sensing,
highlighting
technology’s
growing
core
such
as
“agricultural
policy,”
“food
security,”
“climate
change,”
“sustainable
agriculture”
emerged
dominant
areas
focus.
Advanced
topics
“machine
learning,”
“remote
sensing,”
“climate-smart
highlight
a
shift
toward
data-driven,
technologically
integrated
solutions
for
China
USA
were
identified
leading
contributors,
producing
most
participating
highest
number
international
collaborations.
Язык: Английский
Green rules & grey markets: Do environmental policies influence the informal economy?
Economics & Sociology,
Год журнала:
2025,
Номер
18(1), С. 313 - 338
Опубликована: Март 1, 2025
The
relationship
between
environmental
policy
stringency
and
the
shadow
economy
is
a
critical
issue,
as
stringent
regulations
can
either
formalise
economic
activities
or
push
businesses
into
informality.
This
study
aims
to
analyse
how
different
types
of
policies
influenced
size
across
24
countries
from
2003
2020.
uses
panel
data
regression
techniques,
including
Fixed
Effects
Random
models,
evaluate
impact
market-based
policies,
command-and-control
regulations,
taxation
on
informal
activities.
results
indicate
that
overall
negatively
correlated
with
economy,
one-unit
increase
in
reducing
by
approximately
2.18
percentage
points.
Market-based
such
carbon
trading
schemes
financial
incentives,
are
more
effective
informality
than
regulations.
However,
high
taxation,
particularly
sulphur
oxide
taxes,
associated
an
suggesting
excessive
regulatory
costs
may
incentivise
tax
evasion
operations.
highlights
importance
balancing
incentives
governance
reforms
ensure
both
sustainability
de-shadowing.
Язык: Английский
Environmentally related taxes and their influence on decarbonization of the economy
Environmental Economics,
Год журнала:
2024,
Номер
15(1), С. 174 - 189
Опубликована: Июнь 3, 2024
Environmental
taxes
ensure
sustainable
development,
but
their
fiscal
and
environmental
effectiveness
differs
for
countries
with
different
socio-economic
characteristics.
This
study
aims
to
compare
the
impact
of
tax
revenues
on
economy’s
decarbonization
(measured
through
carbon
productivity
–
ratio
GDP
dioxide
emissions)
in
countries,
considering
green
technologies
development
emissions.
The
paper
analyzed
OECD
World
Bank
statistical
data
38
2002–2021
using
linear
panel
regression
models
fixed
random
effects
(using
Hausman
test
STATA
18).
To
identify
explicit
latent
patterns
this
influence,
which
are
common
certain
analysis
did
not
consider
each
country
separately
targeted
clusters,
distinguished
by
Ward
Sturges
methods
based
effective
rate
emissions,
total
revenues,
productivity.
positive
influence
level
has
been
confirmed
29
(four
from
six
clusters).
effect
is
largest
USA
(an
increase
1%
leads
an
0.9%
average)
smallest
cluster
including
Austria,
Belgium,
Canada,
Costa
Rica,
Czechia,
Estonia,
France,
Germany,
Hungary,
Iceland,
Korea,
Lithuania,
New
Zealand,
Poland,
Portugal,
Slovakia,
Spain,
Great
Britain
(increase
0.1%).
negative
was
nine
(two
clusters):
Denmark,
Finland,
Israel,
Latvia,
Sweden
(decrease
0.3%)
Greece,
Italy,
Netherlands,
Slovenia
0.21%).
Язык: Английский
Governmental approaches to food security management: A bibliometric analysis
Environmental Economics,
Год журнала:
2024,
Номер
15(2), С. 22 - 41
Опубликована: Июль 19, 2024
The
government’s
duty
is
to
guarantee
unimpeded
access
food.
Thus,
relevant
public
policies,
individual
methods
and
tools,
approaches,
strategic
decisions
are
always
the
focus
of
attention
scientists,
politicians,
government
officials.
Recognizing
critical
importance
this
imperative,
study
aims
conduct
a
bibliometric
analysis
that
sheds
light
on
scientific
landscape
administration
food
security.
paper
conducts
publications
(using
VosViewer
–
from
1990
February
2024
using
Scopus
WoS
scientometric
databases);
monographs/textbooks
Google
Books
Ngram
Viewer
for
1990–2019);
trend
Trends
2004
2024).
showed
an
exponential
increase
in
number
since
2000,
with
peaks
2008
(financial
crisis),
2019–2020
(COVID-19),
2023
(threat
security
due
military
conflicts).
clustering
papers
by
content
most
significant
(red)
cluster
unites
research
links
agricultural
development,
sustainable
climate
change,
water
supply.
spatial
revealed
leadership
belongs
scientists
United
States
China.
largest
funders
Chinese
institutions.
It
also
reflected
regional
differences
focus.
In
particular,
Italy,
Switzerland,
France
emphasize
innovation
quality
standards,
while
China
Australia
increasing
yields
storage
technologies.
Язык: Английский
NEW AML TOOLS: ANALYZING ETHEREUM CRYPTOCURRENCY TRANSACTIONS USING A BAYESIAN CLASSIFIER
Financial and credit activity problems of theory and practice,
Год журнала:
2024,
Номер
4(57), С. 274 - 288
Опубликована: Авг. 31, 2024
The
emergence
of
cryptocurrencies
as
a
form
digital
payments
has
contributed
to
the
numerous
opportunities
for
implementation
effective
and
efficient
financial
transactions,
however,
new
fraud
money
laundering
schemes
have
emerged,
anonymity
decentralization
inherent
in
complicate
process
monitoring
transactions
control
by
governments
law
enforcement
agencies.
This
study
aims
develop
mechanism
analyzing
Ethereum
cryptocurrency
using
Bayesian
classifier
identify
potentially
suspicious
that
may
be
related
terrorist
financing
laundering.
approach
makes
it
possible
consider
probabilistic
characteristics
their
interrelationships
increase
accuracy
detecting
anomalous
illegal
transactions.
For
analysis,
data
on
currency
from
June
2020
December
2022
were
taken.
developed
involves
determining
set
transaction
graph
nodes
potential
use
forming
intervals
permissible
values.
article
presents
an
oriented
graph,
with
being
entities
conducting
arcs
between
nodes.
In
assessing
risks
laundering,
number/amount
respective
node,
balance
these
(absolute
value),
type
node
considered.
analysis
showed
among
100
largest
network,
11
identified
having
«critical»
risk
level,
most
closely
connected
identified.
methodology
can
used
not
only
analyze
but
also
other
similar
networks.
Язык: Английский
CORRUPTION RISKS IN THE CONTEXT OF REGIONAL FINANCIAL SECURITY: ANALYSIS BASED ON KOHONEN NEURAL NETWORKS
Socio-economic relations in the digital society,
Год журнала:
2024,
Номер
3(53), С. 68 - 77
Опубликована: Сен. 30, 2024
During
the
war,
threats
to
national
security
related
illegal
financial
transactions
with
aggressor
country,
circumvention
of
sanctions,
fraud
in
distribution
investment
and
humanitarian
aid,
earmarked
funds
for
reconstruction
destroyed
infrastructure,
new
schemes
legalizing
dirty
money
are
becoming
more
acute.
Therefore,
study
risks
at
regional
level
Ukraine
is
a
primary
step
towards
understanding
specifics
corruption,
identifying
main
factors
that
shape
them,
developing
targeted
measures
overcome
them.
To
analyze
corruption
regions
city
Kyiv,
this
article
uses
base
10
indicators
covering
key
aspects
support,
economic
activity,
public
opinion,
trust
government,
digital
transformation
provide
holistic
picture
development.
Clustering
by
risk,
which
was
implemented
using
Kohonen's
self-organizing
maps,
allowed
identify
4
groups
Ukrainian
similar
characteristics:
Cluster
1
(Vinnytsia,
Lviv
Ternopil
regions)
–
high
development
medium
risks;
2
(Volyn,
Dnipropetrovs'k,
Donetsk,
Zhytomyr,
Ivano-Frankivsk,
Kharkiv,
Khmelnytskyi
Chernihiv
an
average
moderate
3
(Zakarpattia,
Kirovohrad,
Rivne
-
problems
governance;
(Zaporizhzhia,
Luhansk,
Mykolaiv,
Odesa,
Poltava,
Sumy,
Kherson,
Cherkasy,
Chernivtsi
Kyiv)
risks.
The
clustering
facilitates
individualized
anti-corruption
strategies
each
group
regions.
results
allow
us
focus
efforts
on
most
problematic
areas
develop
programs
effectively
reduce
Язык: Английский
Cognitive mapping of the economy of trust
Economics & Sociology,
Год журнала:
2024,
Номер
17(3), С. 237 - 266
Опубликована: Сен. 1, 2024
The
concept
of
trust
has
been
extensively
explored
by
governments,
researchers,
and
academic
communities
focusing
on
public
authorities
the
financial
system,
albeit
in
separate
contexts.
Trust
plays
a
vital
role
both
sectors,
influencing
various
aspects
governance,
economic
stability,
societal
well-being.
However,
relationship
interdependencies
between
government
system
remain
relatively
unexplored.
In
addressing
this
gap,
study
aims
to
improve
understanding
socio-economic
provide
framework
for
analysing
complex
causal
mechanisms
developments
sectors
using
concepts.
To
achieve
this,
adopts
Fuzzy
Cognitive
Mapping
(FCM)
method
combination
with
fuzzy
Delphi
(FDM)
as
methodological
approach.
results
highlight
that
even
small
decline
can
have
severe
repercussions
stability
deposit
levels,
exchange
rate
prevalence
non-performing
loans.
Additionally,
violations
sector
also
impact
development
sector,
resulting
decreased
government,
fiscal
tax
revenues,
bond
purchases.
demonstrated
when
is
eroded
simultaneously,
complexities
extent
negative
consequences
are
amplified.
These
findings
emphasize
interconnected
nature
dynamics
underscore
importance
comprehensive
approach
trust-related
challenges.
Язык: Английский
ASSESSMENT OF IMPLICIT AND EXPLICIT ILLICIT REGION FINANCIAL FLOWS, CONDUCTED THROUGH THE FRAUDULENT ACTIONS OF LOCAL AUTHORITIES: THEORETICAL BASIS
Financial and credit activity problems of theory and practice,
Год журнала:
2024,
Номер
6(59), С. 432 - 445
Опубликована: Дек. 30, 2024
Estimating
illicit
financial
flows
is
crucial
for
increasing
transparency
and
fighting
corruption
at
the
regional
level.
This
study
aims
to
develop
a
comprehensive
methodology
assessing
both
hidden
overt
arising
from
fraudulent
activities
of
local
authorities.
The
proposed
involves
modelling
estimating
volume
capital
based
on
convergence
elements
descriptive
canonical
analysis,
as
well
Minkowski
metric.
scientific
methodological
approach
considers
30
relevant
indicators
that
allow
most
complete
assessment
mediated
by
public
officials.
algorithm
developed
provides
following
steps:
(1)
formation
data
sample
factors;
(2)
division
factors
into
four
groups
means
logical
analysis:
first
group
–
loss
resources
implicit
illegal
flows;
second
-
explicit
third
probability
accumulation
fourth
(3)
checking
multicollinearity;
(4)
determining
presence
intergroup
relationships
direction
influence
formed
analysis;
(5)
normalizing
input
statistical
database;
(6)
optimizing
number
factor
principal
component
(7)
construction
an
integral
indicator,
metric;
(8)
graphical
visualization
rating
quantitative
categories
level
indicator;
(9)
formalization
qualitative
Harrington
scale
flows.
Язык: Английский