Article
Hospitality, Leisure, Sport & Tourism
Muhammad Khalid Anser, Bosede Ngozi Adeleye, Mosab Tabash, Aviral Kumar Tiwari
Summary: This study examines the relationship between services trade and information and communication technology in sustainable tourism in Asia. The research found that services trade and ICT individually promote tourism, and their interaction is not enough to erode the enhancing impact of services trade. Additionally, the effects of services trade and ICT usage vary significantly across sub-regions and quantiles.
CURRENT ISSUES IN TOURISM
(2022)
Article
Business, Finance
Theodore Panagiotidis, Maurizio Mussoni, Georgios Voucharas
Summary: This study reexamines the tourism-led growth hypothesis and investigates the impact of tourism on economic growth using a panel quantile regression framework. The findings reveal that tourism plays a significant role in the conditional growth distribution for both developing and developed countries, with a higher effect in developed countries. However, tourism specialization is beneficial only for developed countries and brings about negative effects in developing countries. Furthermore, the analysis shows that the reduction in tourism activity due to the COVID-19 pandemic has the most pronounced impact on countries with relatively low growth rates.
INTERNATIONAL JOURNAL OF FINANCE & ECONOMICS
(2023)
Article
Hospitality, Leisure, Sport & Tourism
Yi-Bin Chiu, Wenwen Zhang, Kaixin Ding
Summary: This study reveals a nonlinear relationship between globalization and inbound tourism, indicating that different levels of globalization have varied impacts on inbound tourism development for countries.
JOURNAL OF TRAVEL RESEARCH
(2021)
Article
Green & Sustainable Science & Technology
Jacek Kulpinski, Beata Prukop, Pawel Rut, Aneta Rejman, Pawel Swider, Wojciech J. Cynarski
Summary: The research investigates the significance of castles for cultural tourism in the perspective of Central Europe inhabitants. The survey results indicate that respondents have a wide and diverse range of interests. With a relatively large sample size, the research findings can be considered reliable. The study aims to supplement knowledge, meet educational needs, and explore the prevailing historical traditions in European castles.
Article
Hospitality, Leisure, Sport & Tourism
Hongwei Zhang, Hualin Cao, Cai Yang
Summary: In this paper, we analyze the impact of immigrant preference status on tourism using a global sample from 1990 to 2019, every 5 years. We construct an international migration preference network and calculate relevant structural parameters. The study compares the influence of ordinary immigration relations and important immigration relations on tourism. The findings indicate that countries are exchanging increasingly closely through migration, and the immigrant preference network serves as an extraction of the backbone structure. Moreover, countries with higher immigration rates tend to promote inbound tourism, and countries with stricter immigration controls and tighter immigrant communities are more likely to attract tourists than others.
CURRENT ISSUES IN TOURISM
(2023)
Article
Hospitality, Leisure, Sport & Tourism
Giovanni Liberatore, Paola Biagioni, Camilla Ciappei, Carlo Francini
Summary: This study analyzes tourist flows in the UNESCO World Heritage Historic Centre of Florence before the COVID-19 crisis and assesses the impact of the pandemic on the city. It establishes a system of indicators to measure the carrying capacity of art cities and helps local decision-makers monitor tourism flows and formulate critical policies.
CURRENT ISSUES IN TOURISM
(2023)
Article
Environmental Sciences
Andrea Ghermandi
Summary: This paper synthesizes empirical evidence on the correlation between social media data counts and visits to natural areas. The analysis reveals a strong correlation for the annual number of visits across multiple sites and for the monthly visits at a single site. Using data from multiple social media sources improves this correlation. However, the impact of social media penetration rate and national park designation on the correlation is still uncertain.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Economics
Antonio F. Galvao, Thomas Parker, Zhijie Xiao
Summary: This article develops bootstrap methods for practical statistical inference in panel data quantile regression models with fixed effects. We consider random-weighted bootstrap resampling and formally establish its validity for asymptotic inference. The bootstrap algorithm is simple to implement in practice by using a weighted quantile regression estimation for fixed effects panel data. We provide results under conditions that allow for temporal dependence of observations within individuals, thus, encompassing a large class of possible empirical applications. Monte Carlo simulations provide numerical evidence the proposed bootstrap methods have correct finite sample properties. Finally, we provide an empirical illustration using the environmental Kuznets curve.
JOURNAL OF BUSINESS & ECONOMIC STATISTICS
(2023)
Article
Hospitality, Leisure, Sport & Tourism
David Boto-Garcia, Matias Mayor
Summary: This paper analyzes the short-term resilience of domestic tourism demand in Spain to COVID-19 during the re-opening of the economy. The study highlights the factors that contribute to the resilience of the hotel industry, including price variations, pre-pandemic demand levels, the epidemiological situation, and non-pharmaceutical interventions. The results show that provinces with higher pre-pandemic demand have better withstood the pandemic shock, but there are variations across clusters.
ANNALS OF TOURISM RESEARCH
(2022)
Article
Economics
Takuya Ishihara
Summary: This study develops a novel estimation method for quantile treatment effects (QTE) and applies it to estimate the distributional effects of insurance provision on household production and TV watching on child cognitive development.
JOURNAL OF BUSINESS & ECONOMIC STATISTICS
(2023)
Article
Mathematics
Paravee Maneejuk, Woraphon Yamaka, Wilawan Srichaikul
Summary: This study examines the nonlinear impact of tourism development on economic growth in Southeast Asian countries and proposes a Generalized Maximum Entropy (GME) estimator to deal with the overparameterization problem. The findings show that international tourist arrivals have a nonlinear effect on economic growth, while other factors do not exhibit a nonlinear relationship. The GME estimator performs better than the ordinary least squares and the fixed effect estimators in estimating the nonlinear effect. The empirical results indicate positive impacts of tourism growth, gross capital formation, real effective exchange rate, international tourism expenditure, and tourism receipts on Southeast Asian economic growth.
Article
Multidisciplinary Sciences
Ricard Grebol Jimenez, Judit Vall Castello
Summary: In the last few decades, the number of suicides has been on the rise in several developed countries. The dualisation of the labor market with widespread use of temporary contracts has increased job instability, particularly affecting individuals with lower education levels. A reform in Spain in 1984 liberalizing the use of fixed-term contracts showed long-term effects, increasing the suicide mortality rate by at least 25.3% in affected cohorts. The results suggest important policy implications for national suicide prevention plans.
Article
Green & Sustainable Science & Technology
Xie Yao, Farah Durani, Qasim Raza Syed, Hooi Hooi Lean, Mosab I. Tabash
Summary: The purpose of this study is to examine the impact of tourism on green growth in BRICS countries. The findings indicate that tourism promotes green growth in both the long and short term. Therefore, measures to encourage tourism development are recommended to boost green growth.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Hospitality, Leisure, Sport & Tourism
Andreas Psarras, Theodore Panagiotidis, Andreas Andronikidis
Summary: The growth of tourism in Greece may have spillover effects on tourist safety, particularly in relation to road traffic accidents. This study analyzes data from 51 regions in Greece from 2000 to 2017 to investigate the impact of tourism on road accidents. The findings reveal that tourism significantly affects road accidents in Greece, with foreign tourists having a greater influence on severe injuries and fatalities compared to domestic tourists.
CURRENT ISSUES IN TOURISM
(2023)
Article
Development Studies
Fikret Korhan Turan, Zeynep Tosun
Summary: This research investigates the factors influencing artwork prices and their specific effects using a data set from a contemporary art gallery in Istanbul. The study finds that factors such as production technique, number of editions, artist gender, education level, and field of study significantly affect artwork prices. Specifically, artworks created by female artists with a graduate level education tend to have higher prices, while increasing the number of editions has a negative impact on artwork prices.
SUSTAINABLE DEVELOPMENT
(2023)
Article
Statistics & Probability
F. Marta L. Di Lascio, Simone Giannerini
STATISTICAL PAPERS
(2019)
Correction
Statistics & Probability
F. Marta L. Di Lascio, Andrea Menapace, Maurizio Righetti
STATISTICAL METHODS AND APPLICATIONS
(2020)
Article
Statistics & Probability
F. Marta L. Di Lascio, Andrea Menapace, Maurizio Righetti
STATISTICAL METHODS AND APPLICATIONS
(2020)
Article
Biology
D. L. Gonzalez, S. Giannerini, R. Rosa
Article
Biology
Diego L. Gonzalez, Simone Giannerini, Rodolfo Rosa
Article
Computer Science, Artificial Intelligence
Silvana S. S. Cardoso, Julyan H. E. Cartwright, Jitka Cejkova, Leroy Cronin, Anne De Wit, Simone Giannerini, Dezso Horvath, Alirio Rodrigues, Michael J. Russell, C. Ignacio Sainz-Diaz, Agota Toth
Article
Mathematics, Applied
Berenice Rojo-Garibaldi, David Alberto Salas-de-Leon, Maria Adela Monreal-Gomez, Simone Giannerini, Julyan H. E. Cartwright
Article
Environmental Sciences
F. Marta L. Di Lascio, Andrea Menapace, Maurizio Righetti
Summary: The study examines the complex relationship between meteorological variables and thermal energy demand in district heating systems, proposing a mixture copula-based approach. The optimal model, a mixture of unstructured Student-t and flipped Clayton copula, differentiates the magnitude of dependence in each tail and exhibits heavy-tailed and asymmetric dependence. By deriving the conditional copula-based probability function, useful insights are provided for the production management phase of local energy utilities.
ENVIRONMENTAL AND ECOLOGICAL STATISTICS
(2021)
Article
Multidisciplinary Sciences
Simone Giannerini, Diego Luis Gonzalez, Greta Goracci, Alberto Danielli
Summary: Circular codes play a significant role in protein coding sequences, correlating strongly with translation speed, codon influence, and protein synthesis levels. They are absent at the beginning of coding sequences but occur stably 40 codons after the initiator codon, hinting at translation elongation process. Additionally, codon influence on translation is related to the strong-weak dichotomy of the first two bases of the codon.
SCIENTIFIC REPORTS
(2021)
Article
Mathematics
Simone Giannerini, Greta Goracci
Summary: Testing for complex serial dependence in economic and financial time series is an important task. The R package tseriesEntropy provides a solution by introducing the entropy metric S-rho and implementing tests for both continuous and categorical data. The nonparametric tests, based on S-rho, have been shown to be powerful and require minimal assumptions. Our methods showcase the presence of complex dependence in commodity price time series, indicating the need for an appropriate nonlinear specification.
Article
Environmental Sciences
F. Marta L. Di Lascio, Andrea Menapace, Roberta Pappada
Summary: Investigating thermal energy demand is crucial for sustainable cities and the use of renewable sources. This article proposes a novel copula-based dissimilarity measure for analyzing district heating demand and explores its application to cluster variables. The method can better distinguish objects with low dissimilarity and considers a weighted version that incorporates spatial location.
Article
Statistics & Probability
Silvia Cagnone, Simone Giannerini, Lucia Modugno
ANNALS OF APPLIED STATISTICS
(2017)
Proceedings Paper
Computer Science, Artificial Intelligence
F. Marta L. Di Lascio, Fabrizio Durante, Piotr Jaworski
SOFT METHODS FOR DATA SCIENCE
(2017)
Article
Business, Finance
Franco Visani, F. Marta L. Di Lascio, Silvia Gardini
JOURNAL OF INTERNATIONAL ACCOUNTING AUDITING AND TAXATION
(2020)
