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on Tourism Economics |
| By: | Mina Dragouni; George Filis; Nikolaos Antonakakis |
| Abstract: | In this study, we employ the novel measure of a VAR-based spillover index, developed by Diebold and Yilmaz (2012) to investigate the time-varying relationship between tourism and economic growth in selected European countries. Overall, the findings suggest that (i) the tourism-economy relationship is not stable over time in terms of both its magnitude and direction, (ii) the relationship exhibits patterns in its magnitude and/or direction during major economic events, such as the Great Recession of 2007 and the Eurozone debt crisis of 2010, and (iii) the impact of these economic events on the relationship between the tourism sector and the economy is more apparent to Cyprus, Greece, Portugal and Spain, which are the European countries that have experienced the most severe economic downturn since 2009. These results are important to tourism actors and policy makers, suggesting that they should pay particular attention to this time-varying relationship and the factors that influence it when designing their tourism strategies. In addition, the findings of this study carry significant implications for researchers, as they underline a strand of the literature which deserves further attention. |
| Keywords: | Tourism-Led Economic Growth, Economic-Driven Tourism Growth, Spillovers, Time-Varying Relationship, Variance Decomposition, European Countries |
| JEL: | C32 F43 L83 O52 |
| Date: | 2013–08 |
| URL: | http://d.repec.org/n?u=RePEc:wsr:wpaper:y:2013:i:128&r=tur |
| By: | Giusti, Antonio; Grassini, Laura; Viviani, Alessandro |
| Abstract: | There are several variables used in the study of tourism demand. In this paper we propose to compare a traditional variable (nights spent in Italy by residents) with a variable on expenditure for domestic tourism of Italian households. These data sources, provided by the Italian National Statistical Office (ISTAT), are compared each other, in order to increase the knowledge of the phenomenon under consideration. The analysis, covering the period 1997-2009, reveals interesting similarities and divergences between the two series. |
| Keywords: | Tourism, Time series, Seasonality |
| JEL: | C23 D12 L83 |
| Date: | 2013–07–23 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:48572&r=tur |
| By: | Vaz, Eric (Ryerson University); Campos, Ana Claudia (University of Algarve) |
| Abstract: | The challenge of measuring at municipal level tourism density has been a daunting task for both statisticians and geographers. The reason of this is enforced by the fact that administrative areas, such as municipalities, tend to be large spatial administrative units, sharing a large demographic asymmetry of tourist demand within the municipality. The rationale is that geographic characteristics such as coastal line, climate and vegetation, play a crucial role in tourist offer, leaning towards the conclusion that traditional census at administrative Level are simply not enough to interpret the true distribution of tourism data. A more quantifiable method is necessary to assess the distribution of socio-economic data. This is developed by means of a dasymetric approach adding on the advantages of multi-temporal comparison. This paper adopts a dasymetric approach for defining tourism density per land use types using the CORINE Land Cover dataset. A density map for tourism is calculated, creating a modified areal weighting (MAW) approach to assess the distribution of tourism density per administrative municipality. This distribution is then assessed as a bidirectional layer on the land use datasets for two temporal stamps: 2000 and 2006, which leads to (i) a consistent map on a more accurate distribution of tourism in Algarve, (ii) the calculation of tourism density surfaces, and (iii) a multi-locational and temporal assessment through density crosstabulation. Finally a geovisual interpretation of locational analysis of tourism change in Algarve for the last decade is created. This integrative spatial methodology offers unique characteristics for more accurate decision making at regional level, bringing an integrative methodology to the forefront of linking tourism with the spatio-temporal clusters formed in rapidly changing economic regions. |
| Keywords: | Dasymetric Mapping; Tourism Density; Land Use Dynamics; Tourism Analysis |
| JEL: | L83 O44 R12 R15 R52 |
| Date: | 2013–08–02 |
| URL: | http://d.repec.org/n?u=RePEc:ris:cieodp:2013_022&r=tur |
| By: | Sumner la Croix (University of Hawaii Economic Research Organization Department of Economics, University of Hawai‘i–Mānoa Global Public Health and Population Studies Program, University of Hawai‘i–Mānoa); Lauren Gabriel (William S. Richardson School of Law, University of Hawai‘i–Mānoa) |
| Abstract: | This report provides an update on the potential impact of marriage equality in Hawai‘i on the state’s economy in light of the U.S. Supreme Court’s recent DOMA and Proposition 8 decisions. We find that marriage equality is likely to lead to substantial increases in Hawai‘i visitor arrivals, visitor spending, and state and county general excise tax revenues due to pent-up demand for same-sex marriage. Over the 2014-2016 period, we estimate that additional visitor spending due to marriage equality would amount to $217 million. The additional gains in visitor spending are time-sensitive: Spending by U.S. same-sex couples and their guests on honeymoons and marriages will be diverted to other states until Hawai‘i recognizes marriage equality. |
| Keywords: | same-sex, marriage, visitors, spending, tourism, Hawai‘i |
| JEL: | J12 K36 I18 |
| Date: | 2013–07 |
| URL: | http://d.repec.org/n?u=RePEc:hai:wpaper:201312&r=tur |
| By: | Jessica Schoner; David Levinson (Nexus (Networks, Economics, and Urban Systems) Research Group, Department of Civil Engineering, University of Minnesota) |
| Abstract: | Bike share systems are an emerging technology in the United States and worldwide, but little is known about how people integrate bike share trip segments into their daily travel. Through this research, we attempt to fill this knowledge gap by studying how people navigate from place to place using the Nice Ride Minnesota bike share system in Minneapolis and St. Paul. We develop a theoretical model for bike share station choice inspired by research on transit route choice literature. We then model people’s choice of origin station using a conditional logit model to evaluate their sensitivity to time spent walking, deviation from the shortest path, and a set of station amenity and neighborhood control variables. As expected, people prefer to use stations that do not require long detours out of the way to access. However, commuters and non-work travelers differ in how they value the walking portion of their trip, and what station amenities and neighborhood features increase a station’s utility. The results from this study will be important for planners who need a better understanding of bike share user behavior in order to design or optimize their system. The findings also provide a strong foundation for future study about comprehensive route choice analysis of this new bicycling technology. |
| Keywords: | destination choice, station choice, bicycling, bike sharing |
| JEL: | R41 R42 |
| Date: | 2013 |
| URL: | http://d.repec.org/n?u=RePEc:nex:wpaper:stationchoice&r=tur |
| By: | Arthur (Yan) Huang; David Levinson (Nexus (Networks, Economics, and Urban Systems) Research Group, Department of Civil Engineering, University of Minnesota) |
| Abstract: | WThis research investigates how land use and road network structure influence home-based single-destination choice in the context of trip chains, using the in-vehicle GPS travel data in the Minneapolis-St. Paul Metropolitan area. We propose a new choice set formation approach which combines survival analysis and random selection. Our empirical findings reveal that: (1) Accessibility and diversity of services at the destination influences individuals’ destination choice. (2) Route-specific network measures such as turn index, speed discontinuity, and trip chains’ travel time saving ratio also display statistically significant effects on destination choice. Our approach contributes to methodologies in modeling destination choice. The results improve our understanding on travel behavior and have implications on transportation and land use planning. |
| Keywords: | destination choice, GPS, accessibility, non-work travel |
| JEL: | R14 R41 R42 |
| Date: | 2013 |
| URL: | http://d.repec.org/n?u=RePEc:nex:wpaper:singledestchoice&r=tur |