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on Tourism Economics |
| By: | Chia-Lin Chang (Department of Applied Economics, Department of Finance, National Chung Hsing University, Taiwan); Michael McAleer (National Tsing Hua University, Taiwan; University of Sydney Business School, Australia; Erasmus School of Economics, Erasmus University Rotterdam, and Tinbergen Institute, The Netherlands; Complutense University of Madrid, Spain and Yokohama National Univ) |
| Abstract: | The paper presents an overview of recent topical research on global, energy, health & medical, and tourism economics, and global software. We have interpreted “global” in the title of the Journal of Reviews on Global Economics to cover contributions that have a global impact on economics, thereby making it “global economics”. In this sense, the paper is concerned with papers on global, energy, health & medical, and tourism economics, as well as global software algorithms that have global economic impacts. The topics covered include re-opening the Silk Road to transform Chinese trade, education and skill mismatches, education policy for migrant children, code of practice and indicators for quality management of official statistics, projections of energy use and carbon emissions, multi-fuel allocation for power generation using genetic algorithms, optimal active energy loss with feeder routing and renewable energy for smart grid distribution, demand for narcotics with policy implications, access to maternal and child health services of migrant workers, computer technology to improve medical information, heritage tourism, ecotourism impacts on the economy, society and environment, taxi drivers’ cross-cultural communication problems and challenges, hybrid knowledge discovery system based on items and tags, game development platform to improve advanced programming skills, quadratic approximation of the newsvendor problem with imperfect quality, classification of workflow management systems for emails, academic search engine for personalized rankings, creative and learning processes using game-based activities, personal software process with automatic requirements traceability to support start-ups, and comparing statistical and data mining techniques for enrichment ontology with instances. |
| Keywords: | Global economics; energy economics; health & medical economics; tourism economics; global software |
| JEL: | I15 L86 O13 Q47 Z32 |
| Date: | 2017–06–19 |
| URL: | http://d.repec.org/n?u=RePEc:tin:wpaper:189460&r=tur |
| By: | Natalia Zugravu-Soilita (University of Versailles Saint-Quentin-en-Yvelines); Vincent Geronimi (University of Versailles Saint-Quentin-en-Yvelines); Christine Le Gargasson (University of Versailles Saint-Quentin-en-Yvelines); Jessy Tsang King Sang (University of Versailles Saint-Quentin-en-Yvelines) |
| Abstract: | The relationship between economic specialization in tourism and growth has been extensively explored, both theoretically and empirically. Although results are ambiguous, a general conclusion of nonlinear effects may be drawn. The originality of our work is to suppose the existence of similar nonlinear relationships between specialization in tourism, vulnerability, and sustainability, and to empirically investigate them for island economies. More particularly, beyond certain tourism specialization thresholds, economic growth slows (as shown in the previous studies) while economic vulnerability increases and sustainability decreases (as found in our empirical work). Our analysis is founded on the hypothesis that these thresholds relate to strategic differences in the development of tourism according to the existence and method of mobilizing the heritage resources of insular economies. The level of differentiation of tourist servicesÑevaluated using an indicator of the change in prices charged for tourist services in presence of world heritage sites (UNESCOÕs list)Ñshould moderate the impacts of specializing in tourism on vulnerability and sustainability. We built and explored an original dataset for up to 18 island economies during the period 1990-2008, which are systematically compared with up to 108 non-island countries. By using panel regression analysis, we show that the most suitable strategies for a less vulnerable and a more sustainable development, which may be naturally combined based on each islandÕs specificities, would be: high specialization in heritage tourism, low specialization in luxury tourism, high specialization in mass tourism when there is no valuable heritage, and low specialization in mass tourism in presence of world heritage sites. Illustrative case studies are discussed following a proposed typology of island economies based on their specialization in tourism and the differentiation of the services offered to visitors. |
| Keywords: | insularity, tourism, heritage, vulnerability, sustainability |
| JEL: | Z32 O57 Q01 |
| Date: | 2017–06 |
| URL: | http://d.repec.org/n?u=RePEc:fae:wpaper:2017.11&r=tur |
| By: | Olivier Beaumais (Laboratoire Lieux, Identités, eSpaces et Activités (LISA)); Sauveur Giannoni (Laboratoire Lieux, Identités, eSpaces et Activités (LISA)) |
| Keywords: | hotel rating; rate premium; endogeneity; recursive semi-ordered probit |
| JEL: | L15 L83 C35 |
| Date: | 2017–06 |
| URL: | http://d.repec.org/n?u=RePEc:lia:wpaper:006&r=tur |
| By: | Gabe, Todd; Gayton, Dominic; Robinson, Patrick; McConnon, James; Larkin, Sean |
| Abstract: | This study examines the economic impact of cruise ship passengers visiting Bar Harbor in 2016. The economic impact figures account for passenger expenditures on a variety of goods and services (e.g., meals and drinks, souvenirs, books and paper goods, shore excursions) and the multiplier effects associated with the economic activity of businesses (and their workers) where the visitors spend money. The passenger economic impact analysis is based on 2,231 mail surveys that were completed and returned by visitors associated with 31 ship visits over 24 days between May and October. Guests were surveyed from a mix of small (e.g., American Glory, with a capacity of 49 passengers) and large ships (e.g., Regal Princess, with a capacity of 3,560 passengers), as well as passengers across a variety of cruise lines (e.g., Celebrity, Crystal Cruises, Holland America, Norwegian Cruise Lines, Oceania, Silversea Cruises). The survey respondents spent an average of $108—and $74 of this amount does not include expenditures on cruise-line sponsored tours. The largest expenditure items, other than cruise-line sponsored tours, are meals and drinks, clothing items, and general souvenirs. The cruise ship passengers had an estimated annual economic impact—including multiplier effects—of $20.2 million in local spending, 379 jobs (full- and part-time, and seasonal) and $5.4 million in labor income. |
| Keywords: | Cruise ships, economic impact, tourism, Bar Harbor |
| JEL: | L83 R11 |
| Date: | 2017–02 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:79834&r=tur |