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on Tourism Economics |
| By: | James Mak (University of Hawaii at Manoa) |
| Abstract: | This article recounts the early years of one of the most successful tourist destinations in the world, Hawaii, from about 1870 to 1940. Tourism began in Hawaii when faster and more predictable steamships replaced sailing vessels in trans-Pacific travel. Governments (international, national, and local) were influential in shaping the way Hawaii tourism developed, from government mail subsidies to steamship companies, local funding for tourism promotion, and America's protective legislation on domestic shipping. Hawaii also reaped a windfall from its location at the crossroads of the major trade routes in the Pacific region. The article concludes with policy lessons. |
| Keywords: | Hawaii, tourism, tourism development |
| Date: | 2015–02 |
| URL: | http://d.repec.org/n?u=RePEc:hai:wpaper:201503&r=tur |
| By: | Mendola Daria (Department of Economics, Business and Statistics (SEAS), University of Palermo); Serena Volo (School of Economics and Management - Free University of Bolzano, Italy.) |
| Abstract: | Composite indicators are a useful tool to synthetize and monitor multidimensional phenomena and in the last decade they are pervading several domains of tourism studies. This study includes a systematic review of destination competitiveness definitions, concepts and measures and the evaluation of existing composite indicators through the application of an enriched version of the OECD technical guideline to build composite indicators. The results and the knowledge gained through the analysis of the selected indicators provide tourism scholars and practitioners involved in measuring destinations’ competitiveness with both an assessment of available indicators´ ability to capture tourism competitiveness complexity and a statistical toolbox to assess their effectiveness in empirical evaluations. |
| Keywords: | destination competitiveness, composite indicators, competitiveness determinants, tourism performance, index. |
| Date: | 2015–01 |
| URL: | http://d.repec.org/n?u=RePEc:bzn:wpaper:bemps23&r=tur |
| By: | Iova, Radu Andrei; Lascar, Elena |
| Abstract: | The purpose of this paper is to discuss the conceptual and solid dimension of the sustainable development of Ostrov area, Constanta county, regarding the rural and wine tourism and wine, and their correlation and determination of the relationship between them. The research is both a theoretical one, which exposes the ideas on this aspect, but also a practical one, which can show the efficiency and sustainability of applying a development plan. The ultimate purpose is to provide a theoretical and methodological, but also an applicative background for the development of Ostrov area. The suggested aspects have a relevant importance for development, because it determines the areas that are attractive and repulsive, managing to highlight proposals for the development strategy of the area. This approach is based on the use of some qualitative data, analyzing and forecasting the dynamics of the commune and area, and the tourism potential generating image, and finally ideas to improve and promote the existing situation through an integrative management. The main theme of this paper is to highlight and capitalize the importance of Ostrov area, for which, through the rural and wine tourism, the sustainable development becomes a certainty. |
| Keywords: | development potential, sustainable tourism, rural tourism, wine tourism, wine tasting tourism |
| JEL: | P49 Q01 R11 |
| Date: | 2014–11–20 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:61766&r=tur |
| By: | Oscar Claveria (Department of Econometrics. University of Barcelona); Enric Monte (Department of Signal Theory and Communications. Polytechnic University of Catalunya.); Salvador Torra (Department of Econometrics & Riskcenter-IREA. Universitat de Barcelona) |
| Abstract: | This study attempts to assess the forecasting accuracy of Support Vector Regression (SVR) with regard to other Artificial Intelligence techniques based on statistical learning. We use two different neural networks and three SVR models that differ by the type of kernel used. We focus on international tourism demand to all seventeen regions of Spain. The SVR with a Gaussian kernel shows the best forecasting performance. The best predictions are obtained for longer forecast horizons, which suggest the suitability of machine learning techniques for medium and long term forecasting. |
| Keywords: | Forecasting, support vector regressions, artificial neural networks, tourism demand, Spain JEL classification: C02, C22, C45, C63, E27, R11 |
| Date: | 2015–01 |
| URL: | http://d.repec.org/n?u=RePEc:aqr:wpaper:201506&r=tur |
| By: | Necula, Diana; Necula, Raluca |
| Abstract: | The paper is analysing the evolution of the main indicators that characterize tourism and agrotourism in Buzau County, emphasizing the contribution that the Merei Parish has in attracting tourists in this area , by calculating the weight held by the number of the touristic structures, of the housing capacity, the arrivals and overnights of the tourists from the registered total in Buzau County. The Merei Parish represents one of the key points of attraction for both Romanian and foreign tourists, benefiting from many views, a treatment resort, an area that is favorable to the development of the majority of types of tourism, including agrotourism, also being an area where agrotouristical activities can take place and high quality products can be produced in order to trade them in boarding houses. |
| Keywords: | tourism, agrotourism, Buzău Parish, Merei County |
| JEL: | Q19 R19 |
| Date: | 2014–11–20 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:61768&r=tur |
| By: | Christian Longhi (Université Nice Sophia Antipolis; GREDEG-CNRS); Sylvie Rochhia (Université Nice Sophia Antipolis; GREDEG-CNRS) |
| Abstract: | This paper analyses the effects of the Internet on the organizations and the markets in the tourism industry. It enlightens its deepening impact on incumbent organizations and markets from Web 1.0 to Web 2.0 though the analysis of the dynamics of the long tail, i.e. of the distribution of activities in tourism. Innovation is gone from exploitation to exploration of the long tail, towards the emergence of non-profit or for-profit Knowledge Intensive Service Suppliers allowing 'prosumers' to find solutions to run themselves their activities, through users generated resources. Contrasting results appear, the growing autonomy of the tail from the head of distribution in the tourism industry, i.e. the development of global innovative market places inside the long tail itself, but still the reemergence of power laws, of tails within the tails as the basic shapes of activities in this platform economy. Skewed distributions appear indeed as the 'normal' characteristic of the economic activity, the traditional market one as well as the so-called 'sharing' one, which stands as a new form of the globalization. |
| Keywords: | Tourism, Knowledge Intensive Service Suppliers, Sectoral Systems of Innovation and Production, Long Tail, Organization of the Industry, Internet |
| JEL: | L83 L86 L31 O33 |
| Date: | 2015–01 |
| URL: | http://d.repec.org/n?u=RePEc:gre:wpaper:2015-07&r=tur |