Big data in smart tourism: challenges,issues and opportunities

In the era of digital transformation, Big Data have assumed a crucial role in changing the global travel and providing significant challenges and opportunities for established companies, as well as new entrants into the tourism industry. All these companies can get valuable information on Big Data for predicting tourist demand, enabling better decision-making, managing knowledge flows and interaction with customers, and providing the best service in a more efficient and effective way. This can result in improved productivity, increased customer satisfaction, personalized marketing campaigns, and more efficient operations. However, open research issues about the role of Big Data in the tourism industry can be still recognized. With these premises, this Editorial aims to present the articles included in the special issue of Current Issues in Tourism titled ‘Big data in smart tourism: challenges, issues and opportunities’, which has called for research contributing to the recent debates on the implications and challenges of the adoption of Big Data to improve the competitiveness of tourism destinations and companies. Main topics considered by the accepted articles include a literature review proposing a novel theoretical investigative frameworks, metrics and critical dimensions, and empirical investigations of the use of Big Data in different tourism contexts.     

Firm-Level Evidence on International Stock Market Comovement *

We explore the link between international stock market comovement and the extent to which firms operate globally. Using stock returns and balance sheet data for companies in 20 countries, we estimate a factor model that decomposes stock returns into global, country-and industry-specific shocks. We find a large and statistically significant link for global shocks. A firm raising its international sales by 10 percent raises the exposure of its stock return to global shocks by two percent. This link has grown stronger over time since the mid-1980s. We find no similarly robust link between international sales and exposure to country-specific shocks. * We are grateful to Marcelle Chauvet, Kathryn Dominguez, Kristin Forbes, Geert Rouwenhorst, Dan Waggoner, participants in the Atlanta Fed Finance Brown Bag, the IMF conference on “Global Linkages”, and the Kiel Institute for World Economics workshop on multinationals for their suggestions. We are especially grateful to Franklin Allen, Marco Pagano, and two anonymous referees for extensive comments on earlier drafts of this paper. Finally, we wish to thank Menzie Chinn for sharing his capital account liberalization measure, Iskander Karibzhanov for translating some of our code into C and Young Kim for excellent research assistance.     

RARE SHOCKS,GREAT RECESSIONS

We estimate a DSGE (dynamic stochastic general equilibrium) model where rare large shocks can occur, by replacing the commonly used Gaussian assumption with a Student's t‐distribution. Results from the Smets and Wouters (American Economic Review 2007; 97 : 586–606) model estimated on the usual set of macroeconomic time series over the 1964–2011 period indicate that (i) the Student's t specification is strongly favored by the data even when we allow for low‐frequency variation in the volatility of the shocks, and (ii)) the estimated degrees of freedom are quite low for several shocks that drive US business cycles, implying an important role for rare large shocks. This result holds even if we exclude the Great Recession period from the sample. We also show that inference about low‐frequency changes in volatility—and, in particular, inference about the magnitude of Great Moderation—is different once we allow for fat tails. Copyright © 2014 John Wiley & Sons, Ltd.     

Local Labor Supply Responses to Immigration

How natives adjust is central to an understanding of the impact of immigration in destination countries. Using detailed labor force data for Malaysia for 1990–2010, we provide estimates of native responses to immigration on multiple extensive margins and rare evidence for a developing country. Instrumental variable estimates show that increased immigration to a state causes substantial internal inward migration, consistent with the fact that immigration increases the demand for native workers. Relocating Malaysian workers are accompanied by their spouses (three‐quarters of whom are housewives) and children who attend school. We find that these effects are concentrated among middle‐ and lower‐skilled Malaysians.     

A Comparison of Residents' Perceptions in Two Cruise Ports in the Mediterranean Sea

This paper examines residents' perceptions of a wide set of externalities exerted by the development of cruise tourism. The research involved data collection in two ports located in the two largest Mediterranean islands, Sicily and Sardinia, during the summer peak of the cruise season 2011. These two cruise destinations are especially interesting as they are characterized by a distinct life cycle. The empirical findings show that the two groups of residents have statistically equal perceptions on cruise activity in their destination. A correspondence analysis shows that residents have an overall positive attitude on the development of cruise tourism with respect to social, cultural and economic impacts. Nevertheless, they also feel that cruise activity has a negative impact, especially on the environment. Heterogeneity in occupation is explicitly taken into account. These findings provide directions for local policy‐makers. Copyright © 2012 John Wiley & Sons, Ltd.     

Determinants of spatial knowledge spillovers in Italian provinces

Statistical evidence suggests that the relevance of knowledge spillovers has increased over time. In this paper we focus on regional knowledge spillovers and adopt a new econometric transformation that allows inference on potential inter-regional knowledge spillovers, accounting for spatial interdependencies.Determinants of inter-regional knowledge spillovers are explained with a sample of 103 Italian provinces. We find that a region’s absorptive capacity, measured by local R&D expenditure and social capital, implies a reduction of outward knowledge spillovers.Identification is based on the use of Two Stages Least Squares and Fixed Effects estimates.     

Optimal education and pensions in an endogenous growth model

In OLG economies with life-cycle saving and exogenous growth, competitive equilibria in general fail to achieve optimality because individuals accumulate amounts of physical capital that differ from the one that maximizes welfare along a balanced growth path (the Golden Rule). With human capital, a second potential source of departure from optimality arises, related to education decisions. We propose to recover the Golden Rule of physical and also human capital accumulation. We characterize the optimal policy to decentralize the Golden Rule balanced growth path when there are no constraints for individuals to finance their education investments, and show that it involves education taxes. Also, when the government subsidizes the repayment of education loans, optimal pensions are positive.     

Countercyclical contingent capital

We analyze the optimal capital structure of a bank issuing countercyclical contingent capital, i.e., notes to be converted into common shares in poor macroeconomic conditions. A comparison of the main effects produced by the countercyclical asset with the simple equity-debt capital structure, the non-countercyclical contingent capital and the countercyclical callable bond is conducted. We demonstrate that this type of asset reduces the spread of straight debt and is effective in reducing the asset substitution incentive. The reduction of bankruptcy costs is strong only when the countercyclicality feature is removed. Contingent capital is useful for macroprudential regulation and we show that the countercyclical feature is important depending on priorities (moderate the asset substitution incentive or reduce bankruptcy costs).     

Embodied Technological Change,Learning‐by‐doing and the Productivity Slowdown*

The productivity slowdown in the US economy since the first oil shock has recently been associated with a larger decline rate of the relative price of equipment investment and a smaller rate of disembodied technical change. We set up a growth model in which learning‐by‐doing is the engine of both embodied and disembodied technological progress. A shift in the relative efficiency of learning‐by‐doing from the consumption to the investment sector is shown to imply a technological reassignment consistent with the above‐mentioned evidence. This result derives from the interaction between the obsolescence costs inherent in embodiment and the learning‐by‐doing engine.