In Malaysia, a country that ranks among the world's most recognised medical tourism destinations, medical tourism is identified as a potential economic growth engine for both medical and non-medical sectors. A state-level analysis of economic impacts is important, given differences between states in economic profiles and numbers, origins, and expenditure of medical tourists. We applied input-output (I-O) analysis, based on state-specific I-O data and disaggregated foreign patient data. The analysis includes nine of Malaysia's states. In 2007, these states were visited by 341,288 foreign patients, who generated MYR1,313.4m ($372.3m) output, MYR468.6m ($132.8m) in value added, and over 19,000 jobs. Impacts related to non-medical expenditure are more substantial than impacts related to medical expenditure, and indirect impacts are a substantial part of total impacts. We discuss management and policy responses and formulate recommendations for data collection.
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Presentation about relationship between experiences and economic impacts of events
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There are substantial differences between models of the economic impacts of tourism. Not only do the nature and precision of results vary, but data demands, complexity and underlying assumptions also differ. Often, it is not clear whether the models chosen are appropriate for the specific situation to which they are applied. The goal of this article is to provide an overview and evaluation of criteria for the selection of economic impact models. A literature review produced 52 potential criteria, subdivided into 10 groups. Based on an analysis of experts' opinions, the perceived importance of each criterion was determined and a set of essential criteria created. To illustrate the usage of these essential criteria, five models (export base, Keynesian, ad hoc, input-output and computable general equilibrium) were evaluated and compared based on their performance on these criteria. This paper builds on the existing literature by showing that it is possible to make a more informed choice among economic impact models of tourism.
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In tourism and recreation management it is still common practice to apply traditional input-output (IO) economic impact models, despite their well-known limitations. In this study the authors analyse the usefulness of applying a non-linear input-output (NLIO) model, in which price-induced input substitution is accounted for. For large changes in final demand, a NLIO model is more useful than a traditional IO model, leading to higher or lower impacts. For small changes in final demand input substitution is less likely. In that case the application of the NLIO may lead to the same results as a traditional IO model. To analyse changes of subsidies, a traditional IO model is not an option. A more flexible model, such as the NLIO, is required. The NLIO model forces researchers to make choices about capacity constraints, factor mobility and the substitution elasticity, which can be difficult but create flexibility and allow for more realism.
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The increasingly multifaceted nature of event impacts makes them even more attractive as a potential solution to a range of urban and regional problems. As a result, competition to stage major cultural and sporting events is intensifying, and the cost of bidding is also rising. Given that such bidding processes only produce one winner, this means that a growing number of disappointed cities have to justify the costs of bidding for major events. In this context, we analyse the bidding process for the European Capital of Culture in the Netherlands (2018) and its impacts on local social structures. In particular the article focuses on the less tangible, non-economic effects of bidding for events, establishing a framework based on network formation, public support for the bidding process and social cohesion. The conclusions point to the key role of sociality and networking for events, which should therefore be developed throughout the bidding process for successful impacts, whether the event is won or not.
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Economische impact World Rowing Championships 2014 Van 24 tot 31 augustus 2014 vond op de Bosbaan in Amsterdam de World Rowing Championships (WRC) plaats. Met het oog op de verdere ontwikkeling van het evenement wil de World Rowing Federation (FISA inzicht krijgen in de economische impact van dit evenement. Zij heeft de Hogeschool van Amsterdam in samenwerking met Hogeschool Inholland en Sport2B gevraagd hier onderzoek naar te doen. Daarnaast heeft de FISA enkele aanvullende vragen geformuleerd over de tevredenheid van bezoekers en vrijwilligers. Bezoekers Het bezoekersaantal wordt geschat op 40.000, waarvan 30.000 unieke bezoekers. Buitenlandse bezoekers besteedden gemiddeld 77 euro per dag, Nederlandse bezoekers 27 euro en Amsterdamse bezoekers 20 euro. De bezoekers waren goed voor 28.500 overnachtingen in de dagen rondom het evenement. De totale bestedingsimpuls gerealiseerd door bezoekers bedroeg 3,1 miljoen. Deelnemers In totaal namen 1.800 atleten en begeleiders deel aan het evenement. Conservatief geschat gaven de deelnemers gemiddeld 25 euro per dag uit. De totale additionele uitgaven van atleten en begeleiders komen daarmee op 534.000 euro. In totaal waren de atleten goed voor 19.500 overnachtingen. De totale uitgaven voor de accommodatie komen daarmee op meer dan 2 miljoen euro. Zes nationale teams hebben als voorbereiding op WRC in juni deelgenomen aan de International Rowing Regatta Amsterdam (IRRA), dit genereerde een lokale economische impact van 149.000 euro. De totale bestedingsimpuls gerealiseerd door deelnemers bedroeg 2,7 miljoen euro. Organisatie en media Het saldo van in- en uitgaande geldstromen veroorzaakt door de organisatie en de media bedroeg 0,8 miljoen euro. De totale directe en indirecte economische impact: 9,2 miljoen euro.
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In tourism management, traditional input-output models are often applied to calculate economic impacts, including employment impacts. These models imply that increases in output are translated into proportional increases in labour, indicating constant labour productivity. In non-linear input- output (NLIO) models, final demand changes lead to substitution. This causes changes in labour productivity, even though one unit of labour ceteris paribus still produces the same output. Final demand changes can, however, also lead to employees working longer, harder and/or more efficiently. The goal of this article is to include this type of 'real' labour productivity change into an NLIO model. To do this, the authors introduce factor augmenting technical change (FATC) and a differentiation between core and peripheral labour. An NLIO model with and without FATC is used to calculate the regional economic impacts of a 10% final demand increase in tourism in the province of Zeeland in the Netherlands. Accounting for real productivity changes leads to smaller increase in the use of labour, as productivity increases allow output to be produced using fewer inputs.
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