nep-tur New Economics Papers
on Tourism Economics
Issue of 2023‒02‒27
three papers chosen by
Laura Vici
Università di Bologna

  1. Climate and carbon risk of tourism in Europe By Robert Steiger; O. Cenk Demiroglu; Marc Pons; Emmanuel Salim
  2. Dirty Dance: Tourism and Environment By Mr. Serhan Cevik
  3. A tool to nowcast tourist overnight stays with payment data and complementary indicators By Marta Crispino; Vincenzo Mariani

  1. By: Robert Steiger (Leopold Franzens Universität Innsbruck - University of Innsbruck); O. Cenk Demiroglu (Umeå University); Marc Pons (UPC - Universitat Politècnica de Catalunya [Barcelona]); Emmanuel Salim (EDYTEM - Environnements, Dynamiques et Territoires de la Montagne - USMB [Université de Savoie] [Université de Chambéry] - Université Savoie Mont Blanc - CNRS - Centre National de la Recherche Scientifique)
    Abstract: Europe accounts for 51% of international tourist arrivals and the tourism industry provides about 10% of workplaces in Europe. Tourism will be impacted by climate change in a diverse number of ways. At the same time, tourism is also a significant contributor of greenhouse gas emissions. The aim of this article is, therefore, to provide an assessment of climate and carbon risks for the European tourism industry based on a systematic literature review. Climate risk is the dominant category with 313 papers (74%), while 110 papers (26%) were on carbon risks. The following gaps were identified: geographical gaps, especially in countries of the former Soviet Union and former Yugoslavia; a lack of coherent studies on national tourism's and its sub-sectors' emissions; research addressing how climate policies might affect tourism demand; assessments of the integrated carbon and climate risks; lack of evidence on the link between tourism climate indicators and tourism demand; lack of climate change and tourism studies addressing policy and institutional tools for adaptation and implementation of adaptation measures in destinations; and research on rising sea levels and coastal erosion and its impacts on tourism destinations and demand.
    Keywords: Climate risk, carbon risk, tourism, Europe, systematic review, adaptation, mitigation
    Date: 2023
    URL: http://d.repec.org/n?u=RePEc:hal:journl:halshs-03932019&r=tur
  2. By: Mr. Serhan Cevik
    Abstract: Tourism was one of the fastest-growing sectors before the COVID-19 pandemic, accounting for about 10 percent of global GDP. But it has also created a number of challenges including environmental degradation, especially in small island countries where the carbon footprint of tourism constitute substantial share of carbon dioxide (CO2) emissions. This study empirically investigates the impact of tourism on CO2 emissions in a relatively homogenous panel of 15 Caribbean countries over the period 1960–2019. The results show that international tourist arrivals have a statistically and economically significant effect on CO2 emissions, after controlling for other economic, institutional and social factors. Therefore, managing tourism sustainably requires a comprehensive set of policies and reforms aimed at reducing its impact on environmental quality and curbing excessive dependency on fossil fuel-based energy consumption.
    Keywords: Tourism; climate change; CO2 emissions; energy intensity; mitigation; adaptation; tourism constitute; impact of tourism; share of carbon dioxide; climate change mitigation; climate change vulnerability; Greenhouse gas emissions; Caribbean; Global
    Date: 2022–09–09
    URL: http://d.repec.org/n?u=RePEc:imf:imfwpa:2022/178&r=tur
  3. By: Marta Crispino (Bank of Italy); Vincenzo Mariani (Bank of Italy)
    Abstract: This paper proposes a strategy for nowcasting tourist overnight stays in Italy by exploiting payment card data and Google Search indices. The strategy is applied to national and regional overnight stays at a time of a significant and unanticipated shock to tourism flows and payment habits (the COVID-19 pandemic). Our results show that indicators based on payment data are very informative for predicting tourist volumes, both at the national and at the regional level. Instead, the predictive power of Google Search data is more limited.
    Keywords: tourism, time series, payment cards data, Google Trends, nowcasting
    JEL: L83 C53 C55 F47
    Date: 2023–02
    URL: http://d.repec.org/n?u=RePEc:bdi:opques:qef_746_23&r=tur

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