Gang Li

University of Surrey · School of Hospitality and Tourism Management (SHTM)

The tourism industry is vulnerable to external shocks. Various crises inevitably impact the tourism industry and tourist destinations negatively but at the same time bring opportunities to examine destination resilience in response to a real shock that is hard to simulate. To manage a crisis more effectively, two critical issues should be addressed...

Big data contain a vast amount of information which is valuable for researchers and decision-makers both in normal and crisis situations. This bibliometric study aims to present the progress, theoretical foundations, and intellectual structure of big data analytics in the hospitality and tourism research domain. Literature records were collected vi...

The online P2P accommodation market, including Airbnb, encourages accommodation hosts to upload profile photos. However, the inclusion of a profile photo may carry consequences such as appearance discrimination. Using secondary Airbnb data from Beijing, China, this study investigates the presence of the “beauty premium” in the relatively low-priced...

This paper provides a novel longitudinal analysis of the stability of risk preferences in the travel domain, and how these are impacted by major life events during a crisis. Analysis of a four-wave survey during COVID-19 demonstrates strong inter-temporal stability of most risk preferences. It also reveals greater stability of generic risk traits a...

Due to the limitations of existing tourism demand forecasting models, data with frequencies lower than those of the tourism demand need to be processed in advance and cannot be directly used in a model, which leads to the loss of timeliness and accuracy in tourism demand forecasting. Taking the inbound tourism of the United States prior to and duri...

Business failure prediction or survival analysis can assist corporate organizations in better understanding their performance and improving decision making. Based on aspect-based sentiment analysis (ABSA), this study investigates the effect of customer-generated content (i.e., online reviews) in predicting restaurant survival using datasets for res...

Time series bagging has been deemed an effective way to improve unstable modelling procedures and subsequent forecasting accuracy. However, the literature has paid little attention to decomposition in time series bagging. This study investigates the impacts of various decomposition methods on bagging forecasting performance. Eight popular decomposi...

This study examined the relationships between abusive supervision, subordinates' work engagement and their emotional labour on a daily basis. Based on an experience sampling study of 95 frontline hospitality employees over 10 working days, the results revealed the complex consequences of abusive supervision on subordinates in the hospitality indust...

Although there has been increasing focus on the employment mobility associated with migration and return, a number of important research gaps can be identified. First, there has been greater focus on occupational mobility than on changes in economic activity, although it is their interaction which determines welfare outcomes. Moreover, most studies...

The presence of hosts' profile photo on peer-to-peer accommodation platforms is likely to influence consumers' judgments and purchase behavior. Based on the stimulus-organism-response theory and mental imagery theory, this study examines the existence and mechanisms of beauty premium via experimental designs. Results indicate that consumers tend to...

In this study, we used deonance theory, attribution theory, spillover effects, and power distance to explore how abusive supervision influences bystanders in the hospitality and tourism industry. In-depth semi-structured interviews revealed an integrated representation of bystanders' emotional and behavioural reactions, ranging from negative emotio...

This study advances the contextual understanding of knowledge management practices adopted by tourism consultants in the setting of tourism development projects. It goes beyond the traditional understanding of the bounded nature of firms to analyse knowledge management issues through a project-based multi-layered perspective, namely project ecology...

This study investigated whether regional differences in economic, socio-psychological, and environmental distance affect tourists' destination choices. Taking Hangzhou, China, as a case, macro- and micro-level data were integrated to examine the effects of multi-dimensional distance on the city's tourism demand via a panel gravity model. All six di...

Recall of tourism experiences evokes pleasant affect tied to the trip, which leads to mood and behavioral intentions. Based on experimental design with two studies, this research investigates the mood-repairing role of tourism memory, memory characteristics, and affective and behavioral consequences of tourism memory. Study 1 confirmed that both po...

Through a systematic review of recent publications on residents’ quality of life (QOL) in relation to tourism development (TD), this study surveys associated dynamics and emerging trends. Several patterns are observed: i) geographic areas of interest have expanded from developed economies to developing economies; ii) an array of theories and concep...

The COVID-19 pandemic has brought sweeping changes to global tourism alongside large-scale travel restrictions, posing complex challenges to entrepreneurs and firms seeking to find their footing in a turbulent climate. This study presents a theoretical framework linking uncertainty, capital, and innovation to analyse how bed-and-breakfast small and...

This study analyses how Covid-19 shapes individuals’ international tourism intentions in context of bounded rationality. It provides a novel analysis of risk which is disaggregated into tolerance/aversion of and competence to manage risks across three different aspects: general, domain (tourism) and situational (Covid-19). The impacts of risk are a...

As one of the first studies to explore the joint consumption of both leisure and pandemic-related tourism products in former pandemic epicenters, this research expands the scope of dark tourism to include former pandemic epicenters. The motivational determinants of intention to visit leisure and pandemic-related sites are empirically identified usi...

This study proposes a general nesting spatiotemporal (GNST) model in an effort to improve the accuracy of tourism demand forecasts. The proposed GNST model extends the general nesting spatial (GNS) model into a spatiotemporal form to account for the spatial and temporal effects of endogenous and exogenous variables as well as unobserved factors. As...

The economic effects of tourism industry during periods of crisis, such as the COVID-19 pandemic, have received significant attention in recent years. The future is likely to pose a range of new challenges and opportunities to sustainable tourism. This paper employs the Markov-switching vector autoregressions (MSVAR) model to investigate the sustai...

Recall of tourism experiences is a decisive factor in tourists' future behavior and decision making when choosing destinations. Understanding the phenomenology of tourism memory can enable tourism organizations to enter a more competitive marketplace. Although extensive literature has addressed how to provide memorable tourism experiences, limited...

Purpose This study aims to examine whether and when real-time updated online search engine data such as the daily Baidu Index can be useful for improving the accuracy of tourism demand nowcasting once monthly official statistical data, including historical visitor arrival data and macroeconomic variables, become available. Design/methodology/appro...

Limited historical data are the primary cause of the failure of tourism forecasts. Bayesian bootstrap aggregation (BBagging) may offer a solution to this problem. This study is the first to apply BBagging to tourism demand forecasting. An analysis of annual and quarterly tourism demand for Hong Kong shows that BBagging can, in general, improve the...

A project commissioned by VisitScotland

This is a report for a collaborative project "Economic and Social Impacts of Arts in Surrey" conducted by a research team in the School of Hospitality and Tourism Management at the University of Surrey, in partnership with Yvonne Arnaud Theatre, The Lightbox and Watts Gallery – Artists’ Village.

Although numerous studies have focused on forecasting international tourism demand, minimal light has been shed on the factors influencing the accuracy of real-world ex ante forecasting. This study evaluates the forecasting errors across various prediction horizons by analyzing the annually published forecasts of the Pacific Asia Tourism Associatio...

Service providers in tourism and hospitality are beginning to welcome robots as a customer service option. Given this trend, it is important to explore the factors driving tourists’ willingness to adopt such new technology. This study focuses on the role of crowding, an environmental factor widely observed in destinations susceptible to over-touris...

Using survey data from the China Family Panel Studies project, this study explores factors influencing Chinese households' tourism consumption. The Heckman model is employed to decompose households' travel decision-making process into two stages: first deciding whether to engage in travel and tourism and then determining the level of tourism consum...

The ongoing COVID-19 pandemic has negatively influenced the global tourism industry. Despite the documented negative impacts of diseases on tourism demand and people's perceived health risk, researchers have seldom examined the psychological responses of tourists travelling during an infectious disease outbreak. We therefore conducted three studies...

Based on internet big data from multiple sources (i.e., the Baidu search engine and two online review platforms, Ctrip and Qunar), this study forecasts tourist arrivals to Mount Siguniang, China. Key findings of this empirical study indicate that (a) tourism demand forecasting based on internet big data from a search engine and online review platfo...

This study investigates whether tourism forecasting accuracy is improved by incorporating spatial dependence and spatial heterogeneity. One- to three-step-ahead forecasts of tourist arrivals were generated using global and local spatiotemporal autoregressive models for 37 European countries and the forecasting performance was compared with that of...

Purpose: This paper aims to provide researchers and practitioners with an understanding of abusive supervision in the context of hospitality. It seeks to conduct a comprehensive review of the area and offer recommendations for future research by exploring the antecedents, consequences, mechanisms, and designs of research on abusive supervision. De...

Purpose This study aims to provide researchers in hospitality management with a comprehensive understanding of the experience sampling method (ESM) and to engage them in the use of ESM in their future research. With this critical discussion of the advantages and challenges of the method, researchers can apply it appropriately to deepen and broaden...

Purpose The purpose of this paper is to provide a short review of tourism forecasting literature and general summary of the trends and developments in tourism forecasting and point out directions for future research in the next 75 years. Design/methodology/approach This is a general literature overview. Findings Key trends are identified for next...

The conditions which determine the acquisition of skills by migrants are still poorly understood. This paper addresses two of those conditions: the temporality of the acquisition of competences, whether the number and duration of migrations matter, as well as the spatiality, or the variation across countries of origin and return. Based on a large-s...

Air pollution is becoming a serious socio-environmental problem in many modern societies and poses significant economic threats to popular tourism destinations. Despite the documented consequences of air pollution on tourism demand, studies have seldom examined its impact on individuals’ psychological states, especially in the tourism context. Thro...

Combination is an effective way to improve tourism forecasting accuracy. However, empirical evidence is limited to point forecasts. Given that interval forecasts can provide more comprehensive information, it is important to consider both point and interval forecasts for decision-making. Using Hong Kong tourism demand as an empirical case, this stu...

In this study, we investigate the causal relationships between international tourism growth and regional economic expansion in China, and more importantly, disclose the factors determining the occurrence of these relationships. The empirical results reveal that 10 out of 29 regions experienced tourism-led growth (TLG) during 1978 to 2013, whereas n...

This study investigated the two main dimensions of small tourism enterprises' (STEs') community social responsibility and their impact on firms' objective and subjective performance. It also explored the moderating effects of STE owners' demographics on the relationships between the two community social responsibility dimensions and firm performanc...

Corporate philanthropy (CP) is receiving increased attention, especially in transitional countries, such as China. Focusing on Chinese tourism attraction companies that operate on public tourism resources and have close relationships with their surrounding communities, this study investigates the factors driving firms’ CP behaviour from a community...

Increasing levels of global and regional integration have led to tourist flows between countries becoming closely linked. These links should be considered when modeling and forecasting international tourism demand within a region. This study introduces a comprehensive and accurate systematic approach to tourism demand analysis, based on a Bayesian...

The purpose of this research is to propose an index approach to study the impact of travel experience on tourists' satisfaction and the further impact on their sense of well-being. Based on the latest development of tourist satisfaction research, that is, the tourist satisfaction indices, this innovative study further extends the two-stage framewor...

This paper reviews literature on travel destination choice and organizes these studies systematically. A “cell–system” structure is proposed to describe the psychological process of travel destination choice. When forming decisions on vacations, tourists gather information on potential destinations and evaluate visit intentions among potential dest...

Research on migration intentions is relatively fragmented, traditionally drawing conclusions from relatively small survey samples, focussing on individual countries, or relying on public opinion polls which provide very few explanatory variables. This paper addresses these limitations by developing a multi-level model of an extensive range of macro...

Multivariate forecasting methods are intuitively appealing since they are able to capture the interseries dependencies, and therefore may forecast more accurately. This study proposes a multiseries structural time series method based on a novel data restacking technique as an alternative approach to seasonal tourism demand forecasting. The proposed...

This study develops a global vector autoregressive (global VAR or GVAR) model to quantify the cross-country co-movements of tourism demand and simulate the impulse responses of shocks to the Chinese economy. The GVAR model overcomes the endogeneity and over-parameterisation issues found in many tourism demand models. The results show the size of co...

Globalization characterizes the economic, social, political, and cultural spheres of the modern world. Tourism has long been claimed as a crucial force shaping globalization, while in turn the developments of the tourism sector are under the influences of growing interdependence across the world. As globalization proceeds, destination countries hav...

This study examines the role of tourism development in reducing regional income inequality in China. First, the theoretical foundation for how tourism affects regional income inequality is discussed. Second, based on the conditional convergence framework, this study proposes a spatiotemporal autoregressive model to capture spatial and temporal depe...

This study uses a gravity framework to model tourism demand for the Caribbean. The basic model is augmented by Linder’s hypothesis—tourist flows are partly determined by the similarity in preferences between the destination and source markets—and climate distance, which measures the gap between climate conditions in origin and destination countries...

This study uses a system-of-equations approach to model the substitution relationship between Australian domestic and outbound tourism demand. A new price variable based on relative ratios of purchasing power parity index is developed for the substitution analysis. Short-run demand elasticities are calculated based on the estimated error correction...

Addressing the call for a better understanding of tourist behavior in relation to post-disaster destinations, this study explores the motivations and intentions of potential domestic tourists (from non-hit areas) to visit Sichuan, China in the aftermath of an earthquake. Drawing on dark tourism theories, this study offers a more comprehensive insig...

This is one of three studies commissioned by the European Commission, DG Enterprise and Industry (DG ENTR) in 2012-2013 in order to build a comprehensive picture of Accessible Tourism in the European Union (EU). The present study focuses on the demand side of Accessible Tourism. The ‘Mapping the skills and training needs to improve accessibility in...

The article introduces an integrated market-segmentation and tourism yield estimation framework for inbound tourism. Conventional approaches to yield estimation based on country of origin segmentation and total expenditure comparisons do not provide sufficient detail, especially for mature destinations dominated by large single-country source marke...

This study's purpose is to investigate the effects of self-congruence and functional congruence on tourists' destination choice. The present research contributes to the gap in the consumer behavior literature by examining the relationships among self-congruence, functional congruence, and destination choice. Based on a sample of 367 British residen...

This study utilizes almost ideal demand system (AIDS) models to examine Hong Kong's competitiveness as an international tourist destination in comparison with its competitors. The empirical findings of the study shed new light on the destination competitiveness literature and demonstrate that a destination's competitiveness should be examined from...

This study aims to assess Mainland Chinese tourists' satisfaction with the UK and Hong Kong using a Tourist Satisfaction Index (TSI) approach. Based on a survey with Mainland Chinese tourists in the UK who also visited Hong Kong recently, this study computes the overall destination TSIs and sectoral TSIs for both Hong Kong and the UK. The results s...

This paper aims to provide the most up-to-date survey of tourism economics research and to summarise the key trends in its recent development. Particular attention is paid to the research progress made over the last decade in respect of approaches, methodological innovations, emerging topics, research gaps, and directions for future research. Remar...

This study considers the dynamics of the consumption behaviour of tourists from an economic perspective. The evolution of various demand elasticities is explored using a time-varying parameter almost ideal demand system model. The top four source markets for tourism in Hong Kong are examined, and three major tourist expenditure categories, includin...

This study develops a tourist satisfaction assessment system based on a dual-model framework and demonstrates its general applicability. The first model concerns tourist satisfaction and its key antecedents and consequences. Structural equation modelling is employed to investigate the relationships amongst the constructs in the theoretical framewor...

Empirical evidence has shown that seasonal patterns of tourism demand and the effects of various influencing factors on this demand tend to change over time. To forecast future tourism demand accurately requires appropriate modelling of these changes. Based on the structural time series model (STSM) and the time-varying parameter (TVP) regression a...

This study investigates the performance of combination forecasts in the context of international tourism demand. Five econometric and two time-series models are employed to generate individual forecasts. Six combination methods are then employed, and their forecasting performance evaluated, using data on UK outbound tourism demand in seven destinat...

The purpose of this study is to test a two-step tourist satisfaction index framework empirically. The first step estimates sectoral-level satisfaction indexes based on a structural equation model, and the second obtains an overall tourist satisfaction index by conducting second-order confirmatory factor analysis. This study is a pilot test of the t...

With the increasing number of international students travelling to well-developed countries for higher education, there has been a growing interest in exploring the factors that influence their academic performance during their overseas studies. This study aims to give an insight into international students’ learning experience by investigating the...

This study aims to predict the recovery of the Hong Kong tourism industry from the current global financial and economic crisis. Based on the latest statistics available, this study provides updated forecasts of tourist arrivals to Hong Kong from 10 key source markets over the period 2010–2015. The forecasts include annual and quarterly forecasts o...

Tourist arrivals and tourist expenditure, in both aggregate and per capita forms, are commonly used measures of tourism demand in empirical research. This study compares these two measures in the context of econometric modelling and the forecasting of tourism demand. The empirical study focuses on demand for Hong Kong tourism by residents of Austra...

The dynamic system-of-equations approach has been used to analyze the demand for outbound tourism among a number of destinations. However, this approach has not been applied to the context of the tourist consumption of different products in a given destination. Given the importance of understanding tourists' consumption behavior to destination mana...

This study examines the usefulness of the theory of transaction cost economics (TCE) for the online travel market and investigates customer satisfaction and loyalty with the transaction cost over the Internet taken into account. Using structural equation modelling (SEM), the authors identify the relationships among the antecedents (uncertainty, per...

This study provides a comprehensive comparison of the performance of the commonly used econometric and time-series models in forecasting seasonal tourism demand. The empirical study is carried out based on the demand for outbound leisure tourism by UK residents to seven destination countries: Australia, Canada, France, Greece, Italy, Spain and the...

This study is one of the first attempts to apply rigorous statistical tests to examine whether a significant difference exists in the forecast accuracy between alternative models in the context of tourism demand forecasting. Two econometric models have been analysed in this study: the traditional regression-based static model and the TVP model. The...

Greater China, including Mainland China, Hong Kong, Macau, and Taiwan, contributes significantly to both regional and global tourism developments. Empirical research on tourism demand modeling and forecasting has attracted increasing attention of scholars both within and beyond this region. One hundred eighty articles are identified that were publi...

Tourism demand is the foundation on which all tourism-related business decisions ultimately rest. Governments and companies such as airlines, tour operators, hotels, cruise ship lines, and recreation facility providers are interested in the demand for their products by tourists. The success of many businesses depends largely or totally on the state...

Air transport is a prominent sector of today’s service economy. It comprises the aviation industry (airlines, airports and ancillary services) and the civil aerospace sector (aircraft manufacturing and maintenance). In addition to its well-established linkages with local, regional and national economies, civil aviation is explicitly related to tour...

This paper reviews the published studies on tourism demand modelling and forecasting since 2000. One of the key findings of this review is that the methods used in analysing and forecasting the demand for tourism have been more diverse than those identified by other review articles. In addition to the most popular time-series and econometric models...

This study evaluates the forecasting accuracy of five alternative econometric models in the context of predicting the quarterly international tourism demand in 25 countries or country groupings. Tourism demand is measured in terms of tourist expenditure by inbound international visitors in a destination. Two univariate time series models are includ...

DOI: 10.1177/0047287508321199 This study investigates the performance of combination forecasts in comparison to individual forecasts. The empirical study focuses on the U.K. outbound leisure tourism demand for the United States. The combination forecasts are based on the competing forecasts generated from seven individual forecasting techniques. Th...

This paper reviews the published studies on tourism demand modelling and forecasting since 2000. One of the key findings of this review is that the methods used in analysing and forecasting the demand for tourism have been more diverse than those identified by other review articles. In addition to the most popular time series and econometric models...

DOI: 10.1300/J073v21n04_02 Tourism forecasting plays an important role in tourism planning and management. Various forecasting techniques have been developed and applied to the tourism context, amongst which econometric forecasting has been winning an increasing popularity in tourism research. This paper therefore aims to introduce the latest devel...

DOI: 10.1177/0047287506291596 The advantages of error correction models (ECMs) and time varying parameter (TVP) models have been discussed in the tourism forecasting literature. These models are now combined to give a new single-equation model, the time varying parameter error correction model (TVP-ECM), which is applied for the first time in the c...

This study develops time varying parameter (TVP) linear almost ideal demand system (LAIDS) models in both long-run (LR) static and short-run error correction (EC) forms. The superiority of TVP-LAIDS models over the original static version and the fixed-parameter EC counterparts is examined in an empirical study of modelling and forecasting the dema...