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Francisco Juárez-Tárraga

Biographic Data

ID9698982
NAMEFrancisco Juárez-Tárraga
GIVEN NAMESFrancisco
FAMILY NAMEJuárez-Tárraga
SIGNATUREJUÁREZ-TÁRRAGA F
AFFILIATIONSUniversity of Alicante
ORCID0000-0002-8341-537X
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2024
H-INDEX0
  • The life cycle and competitive position of tourism destinations

    Jesús Navarro-Navarro, Francisco Juárez-Tárraga et al.•ARTICLE•Current Issues in Tourism•2024

    The competitiveness of tourism destinations depends on their degree of development or maturity. This article uses cluster analysis methods to establish the position in the life cycle of destinations in a pool of 154 countries. The article also explores their evolution between 2007 and 2017 doing a static comparative exercise. The position in the life cycle is determined by using confidence intervals for the means of the main variables. Following …

  • Confidence intervals as a tool to determine the thresholds of the life cycle of destinations

    Francisco Juárez-Tárraga, José Francisco Perles Ribes et al.•ARTICLE•Current Issues in Tourism•2023

    Butler’s TALC (Tourism Area Life Cycle Model) is a descriptive model that has become one of the most influential and widely referenced approaches in the analysis of tourism area development. However, from an empirical point of view, and despite many attempts, the model encounters difficulties when making it operational. This article advocates the use of statistical confidence intervals as a useful tool for determining the various stages through w…

  • Synchronisation among short-term rental markets, co-movements and cycles in 39 European cities

    Open Access•Paloma Taltavull de La Paz, Raul Pérez Sánchez et al.•ARTICLE•Cities•2023•References: 58

    This paper presents new evidence of the short-term rental market's prices and transactions from a daily time-series perspective in 39 European cities from 2015 to 2020. It uses Airbnb micro datasets to build time-series cycles by extracting the original observations containing total bookings (rent transactions), rental units supply, and asking rent, with a daily periodicity. The cycles show the periods in which short-rental activity was more rele…

No prominent works on this page.

  • Confidence intervals as a tool to determine the thresholds of the life cycle of destinations

    Francisco Juárez-Tárraga, José Francisco Perles Ribes et al.•ARTICLE•Current Issues in Tourism•2023

    Butler’s TALC (Tourism Area Life Cycle Model) is a descriptive model that has become one of the most influential and widely referenced approaches in the analysis of tourism area development. However, from an empirical point of view, and despite many attempts, the model encounters difficulties when making it operational. This article advocates the use of statistical confidence intervals as a useful tool for determining the various stages through w…

  • Synchronisation among short-term rental markets, co-movements and cycles in 39 European cities

    Open Access•Paloma Taltavull de La Paz, Raul Pérez Sánchez et al.•ARTICLE•Cities•2023•References: 58

    This paper presents new evidence of the short-term rental market's prices and transactions from a daily time-series perspective in 39 European cities from 2015 to 2020. It uses Airbnb micro datasets to build time-series cycles by extracting the original observations containing total bookings (rent transactions), rental units supply, and asking rent, with a daily periodicity. The cycles show the periods in which short-rental activity was more rele…

  • The life cycle and competitive position of tourism destinations

    Jesús Navarro-Navarro, Francisco Juárez-Tárraga et al.•ARTICLE•Current Issues in Tourism•2024

    The competitiveness of tourism destinations depends on their degree of development or maturity. This article uses cluster analysis methods to establish the position in the life cycle of destinations in a pool of 154 countries. The article also explores their evolution between 2007 and 2017 doing a static comparative exercise. The position in the life cycle is determined by using confidence intervals for the means of the main variables. Following …

Business (2 works) · Cruise Tourism Development and Management (2 works) · Destinations (2 works) · Diverse Aspects of Tourism Research (2 works) · Economics (2 works) · Geography (2 works) · Marketing (2 works) · Tourism (2 works) · Cointegration (1 work) · Computer Science (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae