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The inbound event tourists drawn to an Australian destination to participate in one of 14 annual international auto racing (AR) events can be sectioned to release each group’s behavioural perspectives around their tourism-related impacts on the destination. The paper aims to discuss these issues.

Inbound event tourists attending the destination are surveyed during the three-day major event. Each respondent displays non-uniform, personally driven agendas and varying degrees of local tourism acceptance.

Inbound event tourists self-select into one of six psychologically framed AR sport groupings, and exhibit micro-differences that can then be used to align local tourism around future.

The authors do not consider locals attending this international series AR event, but project their destination tourism and event impacts to be less than those of inbound event tourists. Totally, 90 per cent of inbound AR event tourists each fit one of six motive groups and each group exhibits behaviours, decision-making and spending patterns which can be later optimized in preparation for the destination’s next major event.

AR attendees self-select into just one behavioural attendance motive. Group approaches unlock new understanding of event attendees and their behaviours. Inbound event tourists spend 2 to 1 on the destination’s tourism vs its major event. Destinations targeting inbound event tourists should grow their spend ratio by bundling local tourism offerings into short length-of-stay requirements offering conservatively priced (under $100/activity), adventure focused, tourism options.

This study links inbound event tourist groupings; acquisitions; stay patterns and spending. It captures the economic components and their relative impact on the destination. By combining all the sub-groups of inbound (and local) AR event attendees, a better representation of their economic impact on the destination can be determined.

This study aims to present a holistic synopsis of the current scientific structure of inbound tourism research and suggest further research directions.

A 30-year bibliometric analysis was conducted using the Web of Science Core Collection database through CiteSpace, covering 568 Social Sciences Citation Index articles.

This study systematically identifies the evolution of scientific structures and emerging research trends in the inbound tourism field. The findings show that: co-authorship patterns reveal a trend of international cooperation; the evolution of research themes is consistent with the development of the macro-environment and inbound tourism industry, the most recent focus being on sustainable development of destinations; varied multivariate data analysis methods dominate current empirical analysis; there exist three major research dimensions in the inbound tourism field; and unilateral political factors in destinations and bilateral linkage factors affecting inbound tourism demand have aroused research interest increasingly.

This study helps scholars and practitioners understand the current issues and needs of the inbound tourism industry and develops a future research agenda to promote the industry’s continuous development.

This study is the first attempt to provide insights into the theoretical development of inbound tourism over the past three decades from the perspective of a knowledge-based platform and further facilitate sustainable development of the industry.

本篇论文旨在全面地梳理入境旅游研究的整体知识架构, 进而提出未来研究方向。

本篇论文基于文献计量法, 运用CiteSpace对从Web of Science Core Collection数据库中检索得到的30年间568篇社会科学引文索引文献进行分析。

本篇论文系统地梳理了入境旅游领域知识架构的演化和新兴研究趋势, 填补了现有研究空白。结果揭示：（1）作者协作模式展现出国际化合作趋势; （2）入境旅游领域研究主题的演化趋势与宏观环境和国际旅游的发展阶段相吻合, 并且目的地可持续发展的研究成为热点; （3）目前实证分析主要采用各种多元数据分析方法; （4）入境旅游领域的研究可以归纳为三个主要研究方向; （5）单边政治因素和国家双边联系因素对入境旅游需求的影响逐渐成为近年研究热点。

本篇论文提出了未来研究方向, 有助于学界和业界人士掌握入境旅游产业的现状和需要, 从而推动该产业的可持续发展。

本篇论文首次从知识平台视角出发, 揭示了过去三十年间入境旅游的理论发展情况。

关键词 入境旅游, 文献计量法, 知识架构, 知识平台, 未来研究方向, CiteSpace

文章类型 ：研究型论文

El objetivo de este estudio es presentar una sinopsis holística de la actual estructura científica de la investigación turística entrante y sugerir nuevas direcciones de investigación.

Se condujo un análisis bibliométrico de 30 años utilizando la base de datos de recopilación de datos de la red de ciencias básicas a través de CiteSpace, que abarcó 568 artículos del Índice de Citación de Ciencias Sociales.

Este estudio identifica sistemáticamente la evolución de estructuras científicas y las tendencias de investigación emergentes en el campo del turismo entrante. Las conclusiones muestran que: i) las pautas de coautoría han revelado una tendencia a la cooperación internacional; ii) la evolución de los temas de investigación es coherente con el desarrollo del macro-entorno y de la industria del turismo entrante, centrándose más recientemente en el desarrollo sostenible de los destinos; iii) los diversos métodos de análisis de datos multivariados predominan en el análisis empírico actual; iv) existen tres grandes dimensiones de investigación en el ámbito del turismo entrante; y v) los factores políticos unilaterales en los destinos y los factores de vinculación bilateral que afectan a la demanda turística entrante han despertado un interés cada vez mayor a la investigación.

Este estudio ayuda a los académicos y los profesionales a entender problemas y necesidades actuales de la industria turística entrante y desarrollar una futura guía de investigación para fomentar el desarrollo continuo de la industria.

Este estudio es el primer intento de proporcionar información sobre el desarrollo teórico del turismo entrante en las últimas tres décadas, desde la perspectiva de la plataforma basada en un conocimiento y facilitar aún más el desarrollo sostenible de la industria.

Turismo entrante, Bibliométrica, Estructura científica, Plataforma basada en el conocimiento, Agenda de investigación futura, CiteSpace

Revisión bibliográfica

The purpose of this paper is to investigate the correlation and mechanism between international students and inbound tourism.

Taking 269 prefecture-level cities in China as a sample, bringing international students and inbound tourism into the same analytical framework, the paper applies the fixed-effects model, instrumental variables model and mediating effects model to investigate the impact of international students on inbound tourism.

International students significantly contribute to the increase in inbound tourists and tourism revenue in China, which remain valid after a series of robustness tests. When the relocation data of Chinese urban universities and faculties in the 1950s are used as an instrumental variable for the potential endogenous problems of international students, the results are still valid. Heterogeneity research shows that the impact of international students on inbound tourism has heterogeneous effects in different regions. In addition, the mechanism analysis shows that international students promote China’s inbound tourism mainly through two channels: the economic growth effect and the human capital effect.

This paper provides evidence of the correlation between international students and inbound tourism in developing countries. However, as the data for the study are all from China, caution should be taken when applying the findings of this paper to other regions.

This paper provides evidence on the causal relationship between international students and inbound tourism in developing countries. However, as the data for the study are all from China, caution should be taken when applying the findings of this paper to other regions.

This paper creatively finds out the instrumental variables of international students with academic education to deal with the potential endogenous problems, and then identifies the causal relationship between international students and inbound tourism.

This paper creatively finds out the instrumental variables of international students to deal with the potential endogenous problems and then identifies the correlation between international students and inbound tourism.

本文将研究样本扩大到中国266个地级市, 将留学生和入境旅游纳入同一分析框架, 从游客规模和旅游收入两个方面衡量入境旅游规模, 并调查留学生对入境旅游规模的影响及其机制。

本文通过使用面板数据的固定效应模型、工具变量和的中介效应, 考察国际学生与入境旅游之间的因果关系。

留学生显著促进了中国入境旅游收入和游客数量的增长, 经过一系列稳健测试后, 上述结果仍然成立; 以20世纪50年代中国城市高校和院系的搬迁数据作为国际学生应对潜在内生性问题的工具变量, 结果仍然有效; 异质性研究表明, 留学生入境旅游效应在不同的时间和地区具有异质性; 在机制分析中, 留学生促进中国入境旅游主要通过三个渠道：经济增长效应、人力资本效应和外商投资效应。

本文为发展中国家提供了国际学生与入境旅游之间因果关系的证据。但由于研究数据均来自中国, 将本文的研究结果应用于其他地区时需谨慎。

本文为发展中国家提供了国际学生与入境旅游之间因果关系的证据。但由于研究数据均来自中国, 将本文的研究结果应用于其他地区时需谨慎。

本文创造性地找出留学生学历教育的工具变量以应对潜在的内生性问题, 进而识别留学生与入境旅游之间的因果关系。

本文创造性地找出留学生学历教育的工具变量以应对潜在的内生性问题, 进而识别留学生与入境旅游之间的因果关系。

Tomando como muestra 266 ciudades de China a nivel de prefectura, e integrando a los estudiantes internacionales y el turismo receptor en el mismo marco analítico, el documento aplica el modelo de efectos fijos, el modelo de variables instrumentales y el modelo de efectos mediadores para investigar el impacto de los estudiantes internacionales en el turismo receptor.

El propósito de este documento es investigar la relación causal y el mecanismo entre los estudiantes internacionales y el turismo receptor.

Los estudiantes internacionales contribuyen significativamente al aumento de los turistas entrantes y de los ingresos por turismo en China, que siguen siendo válidos tras una serie de pruebas de solidez. Cuando utilizamos los datos de reubicación de las universidades y facultades urbanas chinas en la década de 1950 como variable instrumental para los posibles problemas endógenos de los estudiantes internacionales, los resultados siguen siendo válidos. La investigación de la heterogeneidad muestra que el impacto de los estudiantes internacionales en el turismo receptor tiene efectos heterogéneos en las distintas regiones. Además, el análisis del mecanismo muestra que los estudiantes internacionales promueven el turismo receptor de China principalmente a través de tres canales: el efecto del crecimiento económico, el efecto del capital humano y el efecto de la inversión extranjera.

Este trabajo aporta pruebas sobre la relación causal entre los estudiantes internacionales y el turismo receptor en los países en desarrollo. Sin embargo, como todos los datos del estudio proceden de China, hay que ser prudentes a la hora de aplicar los resultados de este trabajo a otras regiones.

Este documento aporta pruebas sobre la relación causal entre los estudiantes internacionales y el turismo receptor en los países en desarrollo. Sin embargo, dado que todos los datos del estudio proceden de China, debe tenerse precaución a la hora de aplicar los resultados de este documento a otras regiones.

Este trabajo descubre de forma creativa las variables instrumentales de los estudiantes internacionales con formación académica para hacer frente a los posibles problemas endógenos y, a continuación, identifica la relación causal entre los estudiantes internacionales y el turismo receptor.

Este trabajo descubre de forma creativa las variables instrumentales de los estudiantes internacionales para tratar los posibles problemas endógenos, y luego identifica la relación causal entre los estudiantes internacionales y el turismo receptor.

The purpose of this paper is to examine whether the institutions play a role in tourism development and international recognition, specifically the influence of marketization on the international tourists’ inbound arrivals in different Chinese provinces.

This paper constructs a demand model of tourism and empirically analyzes the relationship between marketization and inbound tourism demand with the panel data of the provinces of China and NERI Index of Marketization.

Marketization does have an influence on inbound tourism demand of China. Specially, the relationship between government and market, the development of product market, the market intermediary organizations and the legal system environment can increase the demand of the foreign tourists to visit China, although the magnitudes are different.

This paper argues that the qualities of marketization intuitions are important in increasing inbound tourism, given that it can bring better tourism experience and improve the international recognition. Strengthening the legislation and protecting the legitimate rights and interests of consumers can attract more international travelers to China. Market distribution of competitive economic resources, reducing political intervention into corporate activities and relieving tax burdens of enterprises can improve the competitiveness and the service qualities of Chinese domestic tourism firms.

This paper leads the discussions of institutions and tourism. It combines the consumer theory and uses static and dynamic panel data models to analyze the influencing factors of Chinese tourism. It argues that Chinese inbound tourism shall develop with the systemic marketization progress in China.

Accurate foreign tourist arrivals forecasting can help public and private sectors to formulate scientific tourism planning and improve the allocation efficiency of tourism resources. This paper aims to address the problem of low prediction accuracy of Chinese inbound tourism demand caused by the lack of valid historical data.

A novel hybrid Chinese inbound tourism demand forecasting model combining fractional non-homogenous discrete grey model and firefly algorithm is constructed. In the proposed model, all adjustable parameters of the fractional non-homogenous discrete grey model are optimized simultaneously by the firefly algorithm.

The data sets of annual foreign tourist arrivals to China are used to verify the validity of the proposed model. Experimental results show that the proposed method is effective and can be used as a useful predictor for the prediction of Chinese inbound tourism demand.

The method proposed in this paper is effective and can be used as a feasible approach for forecasting the development trend of Chinese inbound tourism.

World Heritage Sites (WHSs), as crucial tourist attractions, have been demonstrated to promote inbound tourism development; however, no study has analyzed its impact on the origin distribution of inbound tourist flows (ODITFs), leaving a research gap. This study aims to apply power law to assess ODITFs and explore the impact of WHSs on ODITFs.

This study applied the power law of rank-size distribution to calculate ODITFs in 167 countries/regions from 1997 to 2018 and used the panel data model to analyze the effect of WHSs on ODITFs.

WHSs could positively impact ODITFs to be more even. Among them, a cultural WHS shows a more pronounced effect on ODITFs, while the effect of natural WHSs is negligible.

This study advances knowledge about the impact of WHSs on inbound tourism from the standpoint of ODITFs, contributing to the inbound tourist flows theory and tourist attraction theory. In a realistic sense, WHSs, as crucial tourist attractions, could make ODITFs more even, implying that destination management organizations could gain higher growth of incremental tourists from tail markets rather than head markets when increasing tourist attractions.

全球视角下联合国教科文组织世界遗产（whs）对入境游客源地分布的影响

世界遗产地（WHS）作为重要的旅游景点, 已被证明可以促进入境旅游的发展。然而, 目前没有研究分析其对入境游客源地分布（ODITF）的影响。本文旨在应用幂律评估入境游客源地分布, 并探讨世界遗产对入境游客源地分布的影响。

本研究应用序位-规模分布的幂律计算1997年至2018年167个国家/地区的入境游客源地分布, 并使用面板数据模型分析世界遗产对入境游客源地分布的影响。

世界遗产可以对入境游客源地分布产生积极影响, 使入境游客源地分布更加均匀。其中, 世界文化遗产对入境游客源地分布的影响更为显着, 而世界自然遗产的影响可以忽略不计。

本文从入境游客源地分布的角度, 推进了世界遗产对入境旅游影响的认识, 为入境旅游流理论和旅游景点理论做出了贡献。在现实意义上, 世界遗产作为重要的旅游景点, 可以使入境游客源地分布更加均衡, 这意味着目的地管理组织在增加旅游景点时, 可以从尾部市场获得更多的游客增量。

El impacto del Patrimonio de la Humanidad de la UNESCO en la distribución del origen de los flujos turísticos entrantes desde una perspectiva global

Resumen

se ha demostrado que el Patrimonio de la Humanidad de la UNESCO, como atracciones turísticas cruciales, promueven el desarrollo del turismo receptor; sin embargo, ningún estudio ha analizado su impacto en la distribución del origen de los flujos turísticos entrantes (DOFTE), lo que deja un vacío en la investigación. Este documento tiene como objetivo aplicar la ley de potencias para evaluar la DOFTE y explorar el impacto del Patrimonio sobre ella.

este estudio aplicó la ley de potencias de la distribución del tamaño del rango para calcular la DOFTE en 167 países/regiones desde 1997 hasta 2018 y utilizó el modelo de datos de panel para analizar el impacto del Patrimonio de la Humanidad en la DOFTE.

el Patrimonio de la Humanidad podría influir positivamente en la DOFTE para que sea más uniforme. Entre ellos, el Patrimonio cultural muestra un efecto más pronunciado sobre la DOFTE, mientras que el efecto del Patrimonio natural es insignificante.

este artículo avanza en el conocimiento del impacto del Patrimonio de la Humanidad en el turismo entrante desde la perspectiva de la DOFTE, contribuyendo a la teoría de los flujos turísticos entrantes y a la teoría de la atracción turística. En un sentido realista, el Patrimonio de la Humanidad, como atracciones turísticas cruciales, podrían hacer que la DOFTE fuera más uniforme, lo que implica que las organizaciones de gestión de destinos (OGD) podrían obtener un mayor crecimiento de turistas incrementales procedentes de los mercados secundarios en lugar de los mercados principales al aumentar las atracciones turísticas.

This study empirically examines the moderating role of geopolitical risk on the tourism–economic growth nexus by applying a recent geopolitical risk indicator developed by Caldara and Iacoviello (2022) in a cross-country panel data growth model context for a sample of 24 countries.

A Dummy Variable Least Squares panel data model, nonparametric covariance matrix estimator and SYS-GMM estimation techniques are employed for the analysis. The authors capture the GPR moderating effect by disaggregating the cross-country sample according to low versus high country GPR score and through a GPR interaction coefficient. Several controls are included in the models such as gross fixed capital formation and—consistent with Barro (1990)—government consumption. Trade openness is used to account for the export-led growth effect. In line with neoclassical growth theory (e.g. Barro, 1991), the authors also include the real interest rate, to account for policy makers' commitment to macroeconomic stability, financial depth, as a proxy for financial development, population growth and the level of secondary school education. The authors also control for unobserved country-specific and time-invariant effects.

The research finds that the interaction term of geopolitical risk significantly contributes to the predictive ability of the regression and provides empirical evidence that confirms that only in low geopolitical risk countries international tourism positively and significantly contributes to economic growth. Important theoretical and policy implications flow from these findings.

The study not only contributes to advancing academic knowledge on the tourism–growth nexus, it also has impact beyond academia. Many countries have in the past pursued and many continue to pursue, tourism specialization and/or tourism-led growth strategies based on the theoretically well-established and empirically validated positive link between inbound tourism and economic growth. The findings alert policy makers in such countries to the significant moderating role that geopolitical risk plays in affecting the above-mentioned relationship and to the importance of prioritizing geopolitical stability as a policy precursor for the successful implementation of such strategies.

Tourism industry is a highly complex system surrounded by many uncertainties because of its innumerable connections with other supporting systems. Considering tourism, a grey system, the current study proposes optimistic–pessimistic method (OPM). This technique can aid in improving forecast accuracy of four tourism-related indicators, inbound tourism to China, outbound tourism from China, revenues collected through inbound tourism and expenses incurred on outbound tourism.

The study integrates OPM into EGM and then using the secondary data collected from the World Bank database, predicts the four tourism-related indicators. The mean absolute percentage error steered the performance of the models.

One of the main contributions of the study lies in its overall evaluation of one of the major travel and tourism countries of the world in light of four crucial indicators. The study highlights, four tourism-related indicators' recent information, contains more valuable information about the future.

OPM represents a novel application of concept of whitenization of interval grey number in grey forecasting theory.

The objective of this research is to assess whether two events, the 9‐21 Earthquake in 1999 and the Severe Acute Respiratory Syndrome outbreak in 2003, had a temporary or long‐term impact on the inbound tourism demand from Japan. Furthermore, a comparative study is conducted to assess whether intervention analysis produces better forecasts compared with forecasts without intervention analysis.

The data adopted in this study consist of monthly visitor arrivals from Japan to Taiwan for the period January 1979‐September 2006. The first 321 observations ( January 1979‐September 2005) are used to develop two tentative models, with and without intervention analyses, and then compare with the known values (October 2005‐September 2006) for accuracy testing.

Experimental results show that the effect of both disasters on Japanese inbound tourism presented only temporarily, and the forecasting efficiency of ARIMA with intervention is superior to that of a model without intervention.

The study had difficulty accurately delineating the rebound in Japanese tourist based on monthly data. There are other factors that might influence a rebound, such as people' fading memories or the purpose of visitation. The geographic proximity of Taiwan to Japan could also account for perceived risk factors.

The results indicate that the Japanese inbound arrivals sharply dropped following both of the two disastrous occurrences, suggesting that the Japanese tourists are likely to be responsive to prompt marketing strategies and messages. The practical implication for tourism operators include the usefulness of reinforcing the package holiday by establishing an attractively priced travel package or offering a package with a variety of highly desirable or unique features to increase competition.

This study is a first attempt in the tourism literature to model Japanese demand for travel to Taiwan after these two traumatic crises.

In this paper, the authors investigate the inbound tourism demand elasticities of the Middle East and North African (MENA) countries. The authors emphasize the role of external and internal conflicts, world gross domestic product and relative prices over the period 1995–2017.

This study applies the heterogeneous panel data estimators based on the fully modified-OLS (FM-OLS), dynamic-OLS (DOLS) and the recently developed method of moments quantile regression (MMQR).

The empirical results indicate that the effect of external and internal conflicts on inbound tourism demand is negative and inelastic with external conflict having a stronger effect. The effect of both classifications of conflicts diminishes as the market share of the tourist destination increases. In addition, the role of the world GDP on tourism demand is positive and elastic, suggesting that tourism is a luxury good while an increase in relative prices diminishes inbound tourism demand.

The paper, therefore, concludes that if policy measures are not put in place to curtail incidences of conflicts, economic growth in these countries may suffer setbacks. This by implications could affect the attainment of the sustainable development goals (SDGs) targets.