1,721,002 research outputs found
Multinational companies and wage inequality in the host country: The case of Ireland
No full textIn this paper, the authors analyze the impact of multinational companies on wage inequality in a host country. Based on a model, in which the introduction of new technologies leads to increases in the demand for skilled labour and, therefore, to rising wage inequality, they econometrically study the Irish manufacturing sector between 1979 and 1995. They examine inequality between wages for skilled and unskilled labour within the same manufacturing sector. Their results indicate that there is an inverted-U relationship between wage inequality and multinationals, i.e., with the increasing presence of multinationals, wage inequality first increases, reaches a maximum, and decreases eventually
The tourism economics of marginal and mature mountains. The case of the Regional Park of Corno alle Scale (Apennines), Italy
Full text linkThis study outlines a methodological procedure for assessing the economic impact of alternative territorial development projects in small areas by investigating the Regional Park of Corno alle Scale, in Northern Apennines, Italy. This is a Marginal and Mature Mountain (3M) destination suffering from displacement and population ageing since the 1980s and now attempting to regenerate its economy through tourism-based development projects. This process requires a prior understanding of the tourism impact on the local economy and the tourists’ behavioural intentions and attitudes, both issues addressed by this paper. Findings from a visitors’ survey undertaken in 2019-20 are merged with Input-Output tables to build a local Tourism Satellite Account, enabling to estimate the contribution of tourism to the local economy. This way, the economic impact of alternative development projects can be assessed, thus informing policy-makers on investments that can reshape local development but endanger natural and socio-cultural resources
Modelling international monthly tourism demand at the micro destination level with climate indicators and web-traffic data
Full text linkWe investigate if and how climate indicators and web-traffic data may improve the estimates of demand functions’ parameters, considering specific origins and destinations. Overall, augmented demand functions show better fit and more reliable price and income elasticities whether the demand is measured with arrivals or with overnights. However, heterogeneity stemming from the main type of tourism (business vs. cultural vs. sea and sun) affects both the web-based and the climate indicators better describing tourists demand as well as their optimal lags. Our findings highlight the utility of such prompt and territorial detailed information for local policymakers, showing, however, how sensitive different demand segments are to policy intervention
A comparison of hotel ratings between verified and non-verified online review platforms
Full text linkPurpose: This study aims to compare the rating dynamics of the same hotels in two online review platforms (Booking.com and Trip Advisor), which mainly differ in requiring or not requiring proof of prior reservation before posting a review (respectively, a verified vs a non-verified platform). Design/methodology/approach: A verified system, by definition, cannot host fake reviews. Should also the non-verified system be free from “ambiguous” reviews, the structure of ratings (valence, variability, dynamics) for the same items should also be similar. Any detected structural difference, on the contrary, might be linked to a possible review bias. Findings: Travelers’ scores in the non-verified platform are higher and much more volatile than ratings in the verified platform. Additionally, the verified review system presents a faster convergence of ratings towards the long-term scores of individual hotels, whereas the non-verified system shows much more discordance in the early phases of the review window. Research limitations/implications: The paper offers insights into how to detect suspicious reviews. Non-verified platforms should add indices of scores’ dispersion to existing information available in websites and mobile apps. Moreover, they can use time windows to delete older (and more likely biased) reviews. Findings also ring a warning bell to tourists about the reliability of ratings, particularly when only a few reviews are posted online. Originality/value: The across-platform comparison of single items (in terms of ratings’ dynamics and speed of convergence) is a novel contribution that calls for extending the analysis to different destinations and types of platform
Booking in the Rain. Testing the Impact of Public Information on Prices
Full text linkWeather forecasts are a rare example of public information which is, at the same time, relevant for agents' decisions and entirely exogenous for both sides of the (tourism) market. We develop a model where signals of good weather have a positive impact on accommodation prices, the effect being stronger the higher the accuracy of the forecast and the ex-ante uncertainty in weather conditions. Using data from a sea and sun destination, we estimate an augmented hedonic price model and find that results robustly support the theory. We also find that the response of prices to weather forecasts is larger for upper-scale hotels than for low-and mid-scale hotels, a result we link to the superior pricing capability of the former
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
High tide, low price? Flooding alerts and hotel prices in Venice
Full text linkThis research explores the effects of High Tide alerts on hotel prices in Venice, a city that is vulnerable to the impacts of extreme climate events due to its fragile ecosystem and a long history of floods in the city center. By analyzing and combining price data from Booking.com with publicly available information on tides and weather, this study uses regression discontinuity design to test for changes in hotel prices when tide levels reach a critical threshold. The results offer insights into the sensitivity of hotel prices to weather alerts and provide valuable information on the potential impact of climate change on Venice’s tourism-driven economy, with implications for the cost–benefit analysis of activating protective barriers for lagoon protection
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