Current Issues in Tourism,
Год журнала:
2023,
Номер
unknown, С. 1 - 20
Опубликована: Дек. 27, 2023
Despite
discussions
on
the
rise
of
short-term
rentals
and
their
socioeconomic
consequences,
there
are
limited
theoretical
underpinnings
explaining
suppliers’
decisions
to
join
or
leave
rental
market.
On
basis
prospect
theory,
we
analyze
economic
gains
losses
involved
in
(not)
host
impact
such
market
actors’
decisions.
Using
a
panel
dataset
short-
long-term
markets
Manhattan,
New
York
(2017–2022),
analyzed
increases
decreases
Airbnb
supply
using
spatial
model.
We
find
that
have
different
elasticity
losses.
A
risk-seeking
attitude
is
observed
market,
whereas
exhibit
risk-averse
attitude.
The
findings
highlight
attitudes
toward
heterogeneity
International Journal of Financial Studies,
Год журнала:
2024,
Номер
12(4), С. 117 - 117
Опубликована: Ноя. 28, 2024
This
paper
examines
the
quantile
connectedness
between
Real
Estate
Investment
Trusts
(REITs),
housing
market
sentiment,
and
stock
sentiment
in
U.S.
over
period
January
2014
June
2022
using
vector
autoregression
(QVAR)
model.
We
find
modest
spillover
effects
at
median
(8.51%),
which
become
more
pronounced
extreme
tails
(between
50.51%
59.73%).
The
COVID-19
pandemic
amplifies
these
interconnections.
REITs
are
net
receivers
but
transmitters
quantiles,
while
mainly
transmits
during
normal
conditions
receives
highly
bullish
markets.
Home
purchase
shifts
from
fluctuating
roles
before
to
being
a
transmitter
post-2021.
Overall,
negative
shocks
have
greater
impact
than
positive
ones,
exhibit
stock-like
behavior.
These
findings
underscore
importance
for
fund
managers
investors
consider
volatility
both
real
estate
markets,
especially
conditions.
Land,
Год журнала:
2022,
Номер
11(9), С. 1375 - 1375
Опубликована: Авг. 23, 2022
As
a
powerful
actor
in
the
global
food
system,
China
experienced
significant
drop
crop
production
from
1998
to
2003,
which
posed
substantial
threat
national
security
and
led
establishment
of
13
major
grain-producing
areas
(MGPA).
Although
some
qualitative
research
has
found
that
MGPA
policy
plays
an
important
role
ensuring
security,
quantitative
evidence
on
effect
its
potential
mechanism
remains
scarce.
Based
China’s
interprovincial
panel
data
2018,
this
study
used
difference-in-differences
(DD)
estimation
strategy
analyze
treatment
by
taking
assignment
as
quasi-experiment.
The
results
showed
enforcement
significantly
increased
production,
especially
terms
grain,
rice
wheat
yields.
average
grain
yields
were
raised
27.5%.
event
analysis
effects
sustainable
following
years
implementation.
This
also
explored
alternative
causal
channels
mainly
expanding
planting
areas,
improving
level
mechanization
increasing
transfer
payments.
These
findings
demonstrate
effectiveness
developing
country
setting,
could
enlighten
policymakers
less
well-developed
countries
boosting
maintaining
security.
ISPRS International Journal of Geo-Information,
Год журнала:
2023,
Номер
12(9), С. 371 - 371
Опубликована: Сен. 6, 2023
Determining
the
optimal
planning
scale
for
urban
life
circles
and
analyzing
associated
built
environment
factors
are
crucial
comprehending
regulating
residential
differentiation.
This
study
aims
to
bridge
current
research
void
concerning
nonlinear
hierarchical
relationships
between
differentiation
under
multiscale
effect.
Specifically,
six
indicators
were
derived
from
crowdsourcing
data:
diversity
of
function
(DBEF1),
density
(DBEF2),
blue–green
(BGE),
traffic
accessibility
(TA),
population
vitality
(PV),
shopping
(SV).
Then,
a
gradient
boosting
decision
tree
(GBDT)
was
applied
derive
analysis
these
indicators.
Finally,
interpretability
machine
learning
leveraged
quantify
relative
importance
housing
prices.
The
results
indicate
structure
inflection
point
effect
on
premiums.
Notably,
impact
trend
prices
within
15
min
circle
remains
stable.
crowd
behavior,
as
depicted
by
PV
SV,
emerges
most
significant
factor.
Furthermore,
this
also
categorizes
into
common
high-end
residences,
thereby
unveiling
that
distinct
neighborhoods
exhibit
varying
degrees
dependence
environment.
exerts
formation
differentiation,
with
exhibiting
increased
sensitivity
at
smaller
scale.
Conversely,
is
amplified
larger
Under
dual
influence
effect,
framework
can
dynamically
adapt
uncertainty
changes
in
policies
markets.
provides
strong
theoretical
support
exploring
scale,
alleviating
promoting
group
fairness.
International Journal of Housing Markets and Analysis,
Год журнала:
2023,
Номер
unknown
Опубликована: Июль 22, 2023
Purpose
This
paper
aims
to
examine
the
dynamic
impacts
of
COVID-19
pandemic
and
government
policy
on
real
house
price
indices
in
five
emerging
economies,
namely,
Brazil,
China,
Thailand,
Turkey
South
Africa.
Design/methodology/approach
The
authors
use
local
projection
method
with
a
panel
data
set
these
countries
spanning
from
January
2020
July
2021.
Findings
number
confirmed
positive
cases
raised
housing
prices,
whereas
containment
measures
reduced
them.
Both
conventional
unconventional
monetary
implemented
by
central
banks
cope
helped
increase
prices.
These
effects
were
strengthened
US
via
globalized
financial
markets.
Originality/value
First,
while
previous
researches
typically
concentrated
developed
countries,
investigate
economies
where
proportionally
more
people
badly
affected
pandemic.
Second,
enabled
crisis
Third,
best
authors’
knowledge,
this
is
first
study
evaluating
influences
easing
prices
during
Buildings,
Год журнала:
2023,
Номер
13(9), С. 2334 - 2334
Опубликована: Сен. 14, 2023
The
real
estate
market
constitutes
one
of
the
major
sectors
that
was
influenced
by
COVID-19
pandemic.
It
is
therefore
useful
to
understand
ways
in
which
has
changed
dynamics
market,
establishing
new
trends
different
segments.
health
crisis
upset
consolidated
“human
normality”
spreading
behaviors
and
involving
almost
all
sectors.
Among
economic
fields,
identification
temporary
permanent
impacts
on
fundamental
assess
consequences
worldwide
evaluate
countries’
resilience
ability.
aim
research
provide
a
systematic
literature
review
existent
academic
insights
order
identify
aspects
have
been
mainly
addressed
regarding
market’s
from
grasp
how
changed.
Thus,
through
five
structured
steps—from
formulation
questions
an
analysis
discussion
selected
papers
for
drafting
overall
conclusions—102
published
period
between
second
half
2020
first
2023
collected
Scopus
Google
Scholar
were
reviewed
examined.
findings
reveal
(i)
housing
most
analyzed,
(ii)
2021
2022
scientifically
prolific,
(iii)
US
studied,
(iv)
American
authors
active
subject,
(v)
“article”
type
paper
published.
These
results
basis
future
developments
dynamics,
supporting
implementation
recovery
plan
strategies
decision-making
processes
operators
improving
sector.
ISPRS International Journal of Geo-Information,
Год журнала:
2024,
Номер
13(8), С. 286 - 286
Опубликована: Авг. 16, 2024
Second-hand
housing
transactions
constitute
a
significant
segment
of
the
real
estate
market
and
are
vital
for
its
robust
development.
The
dynamics
these
mirror
preferences
buyers,
their
spatial
temporal
analysis
elucidates
evolving
patterns
buyer
behavior.
This
study
introduces
an
innovative
grid
density
clustering
algorithm,
dubbed
RScan
which
integrates
Bayesian
optimization
with
techniques.
composite
methodology
is
employed
to
assess
outcomes,
optimize
hyperparameters,
facilitate
detailed
visualization
transaction
activity
across
various
regions.
Focusing
on
Shenyang,
major
urban
center
in
Northeast
China,
research
spans
from
2018
2023,
exploring
second-hand
spatio-temporal
attributes.
results
reveal
fluctuations
intensity
different
Shenyang
regions,
although
core
areas
high
remain
constant.
These
regions
display
heterogeneous
pattern
irregularly
stepped
clustered
distributions,
notable
absence
uniformly
high-activity
zones.
pioneers
novel
methodological
framework
investigating
transactions,
offering
crucial
insights
development
policy
formulation
Shenyang.
