Persona:
Muñoz Martínez, César

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ORCID
0000-0002-2255-1757
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Muñoz Martínez
Nombre de pila
César
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2022 - 20243
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Fecha de finalización: 2024 × Fecha de inicio: 2020 ×

Resultados de la búsqueda

Mostrando 1 - 3 de 3
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    Publicación
    Modelling the effect of weather on tourism: does it vary across seasons?
    (Taylor & Francis, 2023) Muñoz Martínez, César::virtual::3939::600; Muñoz Martínez, César; Muñoz Martínez, César; Muñoz Martínez, César
    Weather conditions are important determinants of tourism demand. After reviewing the main contributions of previous research on the role of climatic variables in tourism demand functions, we explore different modelling alternatives to introduce temperature and rainfall in a gravity model. The dataset used comprises interregional tourism flows by Spanish residents from 2011 to 2015. We first estimate a benchmark model with both temperature and rainfall at the destination expressed in levels, and then consider some extensions to this model. In particular, special attention is paid to analyzing whether the sensitivity that tourists may have to weather factors can change across seasons. Other modelling issues examined include the relationship between climatic variables at the destination and at home, the influence of weather in previous periods (lagged values of temperature and rain), the variability of the weather variables (captured by the standard deviation of these variables), or whether the effect of temperature varies with the climatic characteristics of the region. Our empirical results confirm that spring and summer tourism in Spain is more sensitive to weather conditions, that the number of domestic overnight stays in Spain is strongly influenced by changes in the difference in temperature between tourists’ home and destination regions, that the estimated parameters of lagged weather variables are higher than those corresponding to the travelling months, that temperature variability in the destination region reduces tourism demand, and that the effect of temperature on destination choice for residents in moderate-climate regions is lower than for residents in other types of regions.
  • Miniatura
    Publicación
    Empirical Analysis of Ethical Principles Applied to Different AI Uses Cases
    (UNIR-Universidad Internacional de La Rioja, 2022-12) López Rivero, Alfonso José; Beato, M. Encarnación; Muñoz Martínez, César; Cortiñas Vázquez, Pedro Gonzalo
    In this paper, we present an empirical study on the perception of the ethical challenges of artificial intelligence groups in the classification made by the European Union (EU). The study seeks to identify the ethical principles that cause the greatest concern among the population, analyzing these characteristics among different actors. The main study analyses the difference between Information and Communications Technology (ICT) professionals and the rest of the population. Along with this study, we conducted a gender study; in addition, we studied differences between university students, classified as future professionals who can work in Artificial Intelligence, and other university students. We believe that this work is a starting point for an informed debate in the scientific community and industry on the ethical implications of artificial intelligence based on the classification of ethical principles made by the EU, which can be extrapolated to any analysis carried out on the use of data to apply them in algorithms based on Artificial Intelligence.