1,720,986 research outputs found
Macroeconomia. Dalla teoria alla pratica
No full textLibro di macroeconomia contenente parti teoriche ed eserciz
To fake or not to fake: An empirical investigation on the fine art market
Full text linkAlthough carefully debated in the legal, aesthetic, and philosophical perspectives, the impact of fakes on the art market has been often overlooked by the economic literature. This paper offers a novel perspective on this issue by investigating the effects of the detection of several Alberto Giacometti’s forged sculptures. Using this exceptional quasi-experiment, the aim of the paper is to analyze whether a specific fake detection persistently influences the prices of a market segment or only exerts a short run effect. The Interrupted Time Series Analysis is adopted to evaluate the impact of fakes across percentiles of the return distribution, accounting for the overall trend in sculpture sales over the period 2000–2015. The empirical evidence shows that in the short run different dynamics emerge across percentiles, but in the medium run fake effects on returns are neutralized
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
Are mass tourists sensitive to sustainability?
Full text linkTransition management to tourism sustainability is fundamental for mature and mass tourism destinations. While the literature has largely focused on residents’ evaluations of tourism sustainability, little attention has been devoted to investigate tourists’ perceptions and relevance of environmental practices at the destination. This study fills this gap by analyzing tourists’ evaluations of environmental sustainability experienced during their holiday at a mass and mature tourism destination, by focusing on both tourism-based and complementary products. Mapping and cluster analysis are carried out on a sample of tourists who have chosen an Italian mass and mature tourism destination for their holidays. Findings show that sustainability is a less relevant factor and provides less satisfaction with respect to other aspects. Tourist expectations on environmental sustainability are not met; different perceptions and priorities on environmental sustainability are detected in the different tourist clusters. Managerial and policy strategies can be derived from these results
Beyond numbers: rethinking host professionalism on Airbnb
Full text linkPurpose: We challenge the conventional approach to distinguish between professional and non-professional Airbnb hosts by solely using the number of managed listings. Design/methodology/approach: We leverage the recently released platform policy that categorizes hosts' professionalism by their self-declared status. Our multinomial modeling approach predicts true host status, factoring in the number of managed listings and controlling for listing and host traits. We employ data from five major European cities collected through scraping the Airbnb webpage. Findings: Our research reveals that relying solely on the number of listings managed falls short of accurately predicting the host type, leading to difficulties in evaluating the platform's impact on the local housing market and reducing the effectiveness of policy intervention. Moreover, we advocate using more fine-grained measures to differentiate further between semi-professional and professional hosts who exhibit heterogeneous economic behaviors. Research limitations/implications: Reliable professionalism metrics are essential to curb unethical practices, promote market transparency and ensure a level playing field for all market participants. Originality/value: This work pioneers the revelation of the inadequacy of a commonly used measure for predicting host professionalism accurately
Capitale umano e indici di lettura al tempo della crisi
No full textIl saggio analizza il legame tra indici di lettura e tasso di crescita della produttività del lavoro nelle regioni italiane, utilizzando una pluralità di tecniche econometriche. Nel periodo analizzato, 1995-2016, si evidenzia un indebolimento del legame tra le grandezze in questione, legato alle modifiche delle abitudini di lettura e conoscenza (meno legata al tradizionale supporto cartaceo), alle conseguenze delle crisi economiche che hanno segnato il sistema economico nazionale e alle diverse, se non divergenti, traiettorie socio-economiche delle regioni italiane
Visitor arrivals forecasts amid COVID-19: A perspective from the Europe team
Full text linkIn a context in which the tourism industry is jeopardised by the COVID-19 pandemic, and potentially by other pandemics in the future, the capacity to produce accurate forecasts is crucial to stakeholders and policy-makers. This paper attempts to forecast the recovery of tourism demand for 2021 in 20 destinations worldwide. An original scenario-based judgemental forecast based on the definition of a Covid-19 Risk Exposure index is proposed to overcome the limitations of traditional forecasting methods. Three scenarios are proposed, and ex ante forecasts are generated for each destination using a baseline forecast, the developed index and a judgemental approach. The limitations and potential developments of this new forecasting model are then discussed
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