Adrián Más-Ferrando
Biographic Data
| ID | 9699232 |
|---|---|
| NAME | Adrián Más-Ferrando |
| GIVEN NAMES | Adrián |
| FAMILY NAME | Más-Ferrando |
| SIGNATURE | MÁS-FERRANDO A |
| AFFILIATIONS | University of Alicante |
| ORCID | 0000-0002-8127-2715 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
The digital skills divide in wages in Spain: A comparison between tourism and other driving industries
This study examines, for the first time, how the digital skills gap affects wage inequalities in the tourism industry compared to other key economic sectors, with Spain as a case study. Using data from the Survey on Equipment and Use of Information and Communication Technologies in Households (ICT_H), the research applies ordinal and interval logistic regressions. The findings confirm that access to technology and digital skills are positively li…
Methodological proposal to determine explosive tourism growth: A warning for unsustainable development
Sustainability is a crucial aspect of tourism growth and development. This paper suggests the adaptation of a methodology originally designed for analysing explosive behaviour in financial market time series to assess the explosive behaviour of demand pressure in tourist destinations. The proposed methodology could function as an early warning system for potential issues such as over-tourism by identifying further unsustainable growth in destinat…
Is the tourism-led growth hypothesis valid after the Covid-19 pandemic? The case of Spain
This paper analyses the validity of the tourism-led economic growth hypothesis (TLEGH) for the case of Spain after the COVID pandemic. Advanced tests (dynamic and nonlinear) of non-causality Granger are carried out on time series of tourist arrivals and income as well as the evolution of GDP between the period 1955-2022. After performing an analysis with data up to 2019, we then examine whether the introduction of COVID modifies the conclusions o…
Evaluating machine learning techniques for predicting tourist occupancy: An experiment with pre- and post-pandemic Covid-19 data
This paper analyses the prediction capacity of machine learning techniques under severe demand shocks. Specifically, three methods – Naive Bayes, Random Forest and Support Vector Machine – are tested in predicting rental occupancy for tourist accommodation in the city of Madrid. We compare two different scenarios: firstly, the predictive capacity in the years prior to COVID-19 and, secondly, the ability to anticipate demand behaviour once the pan…
La revolución digital en el sector turístico. Oportunidad para el turismo en España
La industria turística más tradicional está experimentando una penúltima revolución industrial que requiere no solo de un proceso de adaptación continua por parte de los agentes implicados, sino también de un análisis de sus consecuencias. El sector turístico en España supone un pilar fundamental en su economía y empleo, sin embargo, nos encontramos ante un sector que no crea su propia innovación, haciendo que la especialización turística español…
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La revolución digital en el sector turístico. Oportunidad para el turismo en España
La industria turística más tradicional está experimentando una penúltima revolución industrial que requiere no solo de un proceso de adaptación continua por parte de los agentes implicados, sino también de un análisis de sus consecuencias. El sector turístico en España supone un pilar fundamental en su economía y empleo, sin embargo, nos encontramos ante un sector que no crea su propia innovación, haciendo que la especialización turística español…
Is the tourism-led growth hypothesis valid after the Covid-19 pandemic? The case of Spain
This paper analyses the validity of the tourism-led economic growth hypothesis (TLEGH) for the case of Spain after the COVID pandemic. Advanced tests (dynamic and nonlinear) of non-causality Granger are carried out on time series of tourist arrivals and income as well as the evolution of GDP between the period 1955-2022. After performing an analysis with data up to 2019, we then examine whether the introduction of COVID modifies the conclusions o…
Evaluating machine learning techniques for predicting tourist occupancy: An experiment with pre- and post-pandemic Covid-19 data
This paper analyses the prediction capacity of machine learning techniques under severe demand shocks. Specifically, three methods – Naive Bayes, Random Forest and Support Vector Machine – are tested in predicting rental occupancy for tourist accommodation in the city of Madrid. We compare two different scenarios: firstly, the predictive capacity in the years prior to COVID-19 and, secondly, the ability to anticipate demand behaviour once the pan…
The digital skills divide in wages in Spain: A comparison between tourism and other driving industries
This study examines, for the first time, how the digital skills gap affects wage inequalities in the tourism industry compared to other key economic sectors, with Spain as a case study. Using data from the Survey on Equipment and Use of Information and Communication Technologies in Households (ICT_H), the research applies ordinal and interval logistic regressions. The findings confirm that access to technology and digital skills are positively li…
Methodological proposal to determine explosive tourism growth: A warning for unsustainable development
Sustainability is a crucial aspect of tourism growth and development. This paper suggests the adaptation of a methodology originally designed for analysing explosive behaviour in financial market time series to assess the explosive behaviour of demand pressure in tourist destinations. The proposed methodology could function as an early warning system for potential issues such as over-tourism by identifying further unsustainable growth in destinat…
Diverse Aspects of Tourism Research (4 works) · Tourism (4 works) · Economics (3 works) · Business (2 works) · Cruise Tourism Development and Management (2 works) · Econometrics (2 works) · Geography (2 works) · Novelty (2 works) · Political science (2 works) · Psychology (2 works)