A Dynamic Panel Data Analysis of Climate and Tourism Demand

Li, Hengyun; Song, Haiyan; Li, Li

doi:10.1177/0047287515626304

Cited by 80 publications

(62 citation statements)

References 69 publications

(95 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Last, system GMM estimator can improve the efficiency and finite-sample properties. This estimator has been widely applied in tourism related studies (e.g., Balli, Balli, & Louis, 2016;Etzo, Massidda, & Piras, 2014;Li, Song, & Li, 2017).…”

Section: Estimator: System Gmmmentioning

confidence: 99%

High‐speed rail and tourism in China: An urban agglomeration perspective

Yang

Cui

2018

Journal of Tourism Research

View full text Add to dashboard Cite

This work aims to provide a comprehensive analysis of the association between high‐speed rail (HSR) operation and tourist arrivals in China. A panel data of 238 prefecture‐level cities from 2003 to 2013 is analyzed, using both system generalized method of moments estimation and synthetic control methods. Nationwide, HSR implementation generates sizable tourist inflows, with stronger effect for international arrivals than for domestic ones. Furthermore, heterogeneous HSR impacts are identified through the lens of urban agglomeration: (a) Connection with core cities is quintessential in channeling international customers to the hinterlands, and (b) national cores and hinterlands benefit prominently whereas regional cores lose from HSR accessibility.

show abstract

Section: Estimator: System Gmmmentioning

confidence: 99%

High‐speed rail and tourism in China: An urban agglomeration perspective

Yang

Cui

2018

Journal of Tourism Research

View full text Add to dashboard Cite

show abstract

“…For tourists, a benevolent climate is one of the main attractions for many destinations. Empirical studies have identified various climaterelated attributes influencing tourists' travel decisions (Hamilton & Lau, 2006;Law & Cheung, 2007;Li, Song, & Li, 2017;Rosselló-Nadal, Riera-Font, & Cárdenas, 2011). Among these attributes, air quality is particularly interesting for policymakers, because it can be controlled to some extent through regulations or incentives to decrease air pollutant emissions.…”

Section: Introductionmentioning

confidence: 99%

Air pollution and tourism demand: A case study of Beijing, China

Zhou

Jiménez

Rodríguez

et al. 2019

Journal of Tourism Research

View full text Add to dashboard Cite

This paper analyses the relationship between air pollution and tourism demand in Beijing. The study method is based on a gravity model, in which air quality variables are incorporated into the model of tourism demand. The results obtained show that air pollution has a negative influence on tourism flows and that this effect is more pronounced for inbound than for domestic tourism. The findings also show that a simple index such as the classification of good and bad air‐quality days is a good representation of the air pollution factors taken into account by tourists in their travel decision.

show abstract

“…Otro elemento clave respecto del factor clima, es el tiempo de ocio, entendidos como determinantes de la elección de un destino de viaje, juicio que es compartido por otros estudios, confirmando que el clima no únicamente influye en la decisión de viajar a un destino en particular (Li, et al, 2017), sino que también es un factor clave que afecta la experiencia de viaje y, por consiguiente, determina la intención de repetir la visita en posteriores ocasiones. Es así como Wilson y Becken, 2011, encontraron además que la gente de países muy calurosos o muy fríos viajan más, al tiempo que, los países tropicales, son los que atraen a más turistas.…”

Section: Revisión De La Literaturaunclassified

Nivel de Satisfacción e Intención de Repetir la Visita Turística. El Caso del Cantón Playas, en Ecuador

et al. 2018

View full text Add to dashboard Cite

* Autor a quien debe ser dirigida la correspondencia.Recibido Mar. 14, 2017; Aceptado May. 16, 2017; Versión final Jul. 5, 2017, Publicado Feb. 2018 Resumen La presente investigación estudia la relación entre los diversos atributos que explican la satisfacción percibida por el turista y su influencia en la intención de repetir la visita turística al Cantón Playas, Ecuador. En el estudio se consideran algunas características socio-demográficas de los encuestados tales como estado civil, edad, ingreso mensual, ciudad de origen y el hecho de viajar solo o acompañado. Se aplicó una encuesta a una muestra final de 556 turistas en dos instancias de feriados locales. Se utilizó un análisis de regresión logística binaria como herramienta para determinar la probabilidad de repetir la visita turística. Los principales resultados del modelo evidenciaron que las variables socio-demográficas nivel de educación, ciudad de origen y viajar acompañado, así como atributos relacionados a la variedad de la oferta turística, precio, clima y los canales de distribución son estadísticamente significativos. En otras palabras, aquellos que respondieron positivamente a los cuatro atributos, tienen un alto grado de estudio, viven en zonas aledañas y viajan acompañados y tienen mayores probabilidades de repetir la visita al cantón Playas. Palabras clave: satisfacción turística; repetición de visita; regresión logística binaria; atributos turísticos. Level of Satisfaction and Intention of Repeating the Touristic Visit. The Case of Canton Playas, in Ecuador AbstractThis work studies the relationship between various attributes that may explain the perceived satisfaction of tourists and their influence on the intention of repeating the visit to the Cantón Playas, Ecuador. The study considers some socio-demographic characteristics of the respondents such as marital status, age, monthly income, city of origin and whether they travel alone or accompanied. A survey was applied to a final sample of 556 tourists in two periods of local holidays. A binary logistic regression analysis was used as a tool to determine the likelihood of repeating the visit. The main results of the model showed that the sociodemographic variables level of education, city of origin and accompanied traveling, as well as attributes related to the variety of the touristic offer, price, climate and distribution channels are statistically significant. In other words, those who responded positively to the four attributes have a high level of education, live in surrounding areas and travel accompanied, are more likely to repeat the visit to Playas.

show abstract

A Dynamic Panel Data Analysis of Climate and Tourism Demand

Cited by 80 publications

References 69 publications

High‐speed rail and tourism in China: An urban agglomeration perspective

High‐speed rail and tourism in China: An urban agglomeration perspective

Air pollution and tourism demand: A case study of Beijing, China

Nivel de Satisfacción e Intención de Repetir la Visita Turística. El Caso del Cantón Playas, en Ecuador

Contact Info

Product

Resources

About