% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@INPROCEEDINGS{Rhoden:893989,
author = {Rhoden, Imke and Voit, Ann-Katrin},
title = {{C}hance in the challenge – {P}ositive environmental
externalities in the tourism sector through {C}ovid-19},
school = {FernUniversität in Hagen},
reportid = {FZJ-2021-02966},
year = {2021},
abstract = {Due to the spread of Covid-19, a global pandemic situation
has developed since December 2019, which has serious effects
on the various economic sectors. The tourism sector with
hotel, catering, transport, as well as secondary and
tertiary industries in particular are massively affected, as
the demand for tourism is very sensitive to crises (Fotiadis
et al, 2021, p. 2). Like an external shock, Covid-19 shows a
similar decline in demand for goods in the tourism sector as
can be observed as a result of wars and natural disasters
(Jin et al., 2021, p. 1).Contrasting the negative effects
caused by the pandemic, there also occur other externalities
which exhibit positive developments, especially from an
environmental point of view. Less travel also means that
less greenhouse gases (GHG) are emitted, less littering of
vacation areas can be observed, and the natural habitats of
animals recover through reduced tourism (Wieckowski, 2021,
p. 9).It turns out, however, that the positive externalities
on the environment cannot be observed to the same extent
across all countries and regions and are strongly influenced
by local tourism characteris-tics. Clusters and hot spots
can be observed that are experiencing a particularly
positive development, whereas other areas show less
improvement (Newsome, 2020, p. 2).To analyze the effects of
the European tourism sector on GHG emissions, we model
multiple indicators (e.g. personnel employed in the tourism
sector, number of nights spent at tourist accommodation
es-tablishments, etc.) together with indicators for general
economic activity and mobility. In a spatiotem-poral
approach, we are able to account explicitly for regional and
temporal autocorrelation and thus extracting these effects
from the residuals. Additionally, we introduce the external
shock of the pan-demic as further additive factor in the
model. The model allows estimating the impact of the tourism
sector on GHG emissions, distinguishing them from effects of
the general economic development. We can furthermore
identify in which regions additional factors seem to affect
GHG emissions, thus illus-trating hotspots of GHG emission
reduction created by a reduction in activity also beyond the
tourism sector.According to Coase’s theory of
internalization, tangible solution mechanisms are to be
worked out that enable cost-benefit considerations. Which
region can achieve the highest level of positive
environmen-tal development at which costs? Should a
redistribution mechanism take place here in order to achieve
an overall improvement of the environment, whereby
individual regions internalize less from an eco-nomic point
of view due to higher costs and support other regions that
can exploit high potential for improvement with the use of
fewer monetary resources?Ultimately, classic tax solutions
such as an environmental tax or tourism tax are to be
compared with a negotiated solution based on pollution
certificates as a solution mechanism. This is intended to
weigh up the efficiency of the two methods.},
month = {May},
date = {2021-05-25},
organization = {Workshop on Global Economic Studies,
Hagen (Germany), 25 May 2021 - 26 May
2021},
subtyp = {After Call},
cin = {IEK-STE},
cid = {I:(DE-Juel1)IEK-STE-20101013},
pnm = {1112 - Societally Feasible Transformation Pathways
(POF4-111)},
pid = {G:(DE-HGF)POF4-1112},
typ = {PUB:(DE-HGF)6},
url = {https://juser.fz-juelich.de/record/893989},
}