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on Tourism Economics |
| By: | Pillai, Rajasekharan |
| Abstract: | One of the spill-over effects of globalization is the essential transformation of labour market structure. In the wake of service sector revolution, being backed by knowledge revolution, faster mobility and the growth of IT enabled services, the potential of tourism cannot be over looked. This paper attempts to disclose the changing notion of work in the current international scenario. The study focuses on tourism sector, both due to its growth potential and due to its employment significance. The paper explores the new development in labour relations in tourism industry in the Indian perspective. |
| Keywords: | Globalization; Tourism; Labour market; Tourism labour market; labour relations; Service sector; Informalisation; flexible work force; numerical flexibility. |
| JEL: | J50 J53 |
| Date: | 2010–03 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:22994&r=tur |
| By: | Felipa de Mello-Sampayo (ISCTE - Lisbon University Institute - Department of Economics and UNIDE-ERC); Sofia de Sousa-Vale (ISCTE - Lisbon University Institute - Department of Economics and UNIDE-ERC) |
| Abstract: | The tourism and economic growth relationship is investigated for a panel of European countries over the period 1988–2010. The results reveal that the variables contain a panel unit root and they cointegrate in a panel perspective. The findings show that tourism enhance economic growth for some countries in the sample. |
| Keywords: | Tourism, Economic growth, Rank tests, Panel unit root tests, Panel cointegration |
| JEL: | F43 C33 L83 |
| Date: | 2010–05 |
| URL: | http://d.repec.org/n?u=RePEc:isc:wpaper:ercwp0510&r=tur |
| By: | Abidoye, Babatunde; Herriges, Joseph A.; Tobias, Justin |
| Abstract: | Random Utility Maximization (RUM) models of recreation demand are typically plagued by limited information on environmental and other attributes characterizing the available sites in the choice set. To the extent that these unobserved site attributes are correlated with the observed characteristics and/or the key travel cost variable, the resulting parameter estimates and subsequent welfare calculations are likely to be biased. In this paper we develop a Bayesian approach to estimating a RUM model that incorporates a full set of alternative specific constants, insulating the key travel cost parameter from the influence of the unobserved site attributes. In contrast to estimation procedures recently outlined in Murdock (2006), the posterior simulator we propose (combining data augmentation and Gibbs sampling techniques) can be used in the more general mixed logit framework in which some parameters of the conditional utility function are random. Following a series of generated data experiments to illustrate the performance of the simulator, we apply the estimation procedures to data from the Iowa Lakes Project. In contrast to an earlier study using the same data (Egan \textit{et al.} \cite{eganetal}), we find that, with the addition of a full set of alternative specific constants, water quality attributes no longer appear to influence the choice of where to recreate. |
| Keywords: | nonmarket valuation; water quality; discrete choice |
| JEL: | C25 Q25 Q51 |
| Date: | 2010–05–31 |
| URL: | http://d.repec.org/n?u=RePEc:isu:genres:31559&r=tur |
| By: | Evans, Keith; Herriges, Joseph A. |
| Abstract: | A commonly observed feature of visitation data, elicited via a survey instrument, is a greater propensity for individuals to report trip numbers that are multiples of 5's, relative to other possible integers (such as 3 or 6). One explanation of this phenomenon is that some survey respondents have difficulty recalling the exact number of trips taken and instead choose to round their responses. This paper examines the impact that rounding can have on the estimated demand for recreation and the bias that it may induce on subsequent welfare estimates. We propose the use of a latent class structure in which respondents are assumed to be members of either a nonrounding or a rounding class. A series of generated data experiments are provided to illustrate the range of possible impacts that ignoring rounding can have on the estimated parameters of the model and on the welfare implications from site closure. The results suggest that biases can be substantial, particularly when then unconditional mean number of trips is in the range from two to four. An illustrative application is provided using visitation data to Saylorville Lake in central Iowa. |
| Keywords: | recreation demand; count data; rounding |
| JEL: | C25 Q51 |
| Date: | 2010–06–02 |
| URL: | http://d.repec.org/n?u=RePEc:isu:genres:31594&r=tur |