Asia pacific tourism industry: Current trends and future outlook

Singh, Amrik

doi:10.1080/10941669808721988

Cited by 36 publications

(18 citation statements)

References 3 publications

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“…In the context of tourism, four geographical regionsdAmerica, Asia Pacific, Europe, as well as Middle East and Africadare widely studied both by the scholarly community (e.g., Aramberri, 2009;Chen, 2001;Singh, 1997) as well as by destination marketers or organizations such as the United Nations World Tourism Organization (UNWTO, 2013), and the World Economic Forum (Blanke & Chiesa, 2011). Whether travellers' experience meet expectation is in part dependent on the image of the destination (Chen & Hsu, 2000).…”

Section: Introductionmentioning

confidence: 99%

In search of patterns among travellers' hotel ratings in TripAdvisor

2016

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Section: Introductionmentioning

confidence: 99%

In search of patterns among travellers' hotel ratings in TripAdvisor

2016

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“…Amrik Singh (1997) discussed that during the decade of 1990s, the Asia Pacific region (including North East Asia, South East Asia and the Oceania) was the fastest growing tourism regions in the world. In his research, he reviewed the growth and development of the tourism industry in the Asia Pacific region and concluded that the region is expected to maintain a high rate of growth in future.…”

Section: Introductionmentioning

confidence: 99%

Forecasting tourist in-flow in South East Asia: A case of Singapore

Kumar

Sharma

2016

TMS

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This study attempts to forecast tourist inflow in South East Asia and choses Singapore as a case. For Singapore, tourism is one of the major sources of foreign exchange earnings since it has no natural resources to support its economy. Therefore, forecasting of tourist arrivals in the country becomes very important for the reason that the forecasting may help tourism related service industries (e.g. airlines, hotels, shopping malls, transporters and catering services, etc.) to plan and prepare their resources and activities in an optimal way. In this paper, seasonal autoregressive integrated moving average (SARIMA) methodology was considered for making monthly predictions on tourist arrival in Singapore. The best model for forecasting is found out to be (1,0,1)(1,1,0)12 and monthly forecasting were obtained for two years in future. Further, various statistical tests (e.g. Dickey Fuller, KPSS, HEGY, Ljung-Box, Box-Pierce etc.) were applied on the time series for adequacy of best model to fit, residual autocorrelation analysis and for the accuracy of the prediction.Keywords: Forecasting, Seasonal ARIMA, Tourist Arrivals, Singapore. ResumoEste estudo tenta prever o fluxo turístico no Sudeste Asiático e escolhe Singapura como um caso. Para Singapura, o turismo é uma das principais fontes de divisas, uma vez que não possui recursos naturais para sustentar a sua economia. Portanto, a previsão de chegadas de turistas no país torna-se muito importante pelo motivo que a previsão pode ajudar as indústrias de serviços relacionados com o turismo (por exemplo, companhias aéreas, hotéis, centros comerciais, transportadoras e serviços de catering, etc.) para planear e preparar os seus recursos e atividades de uma forma otimizada. Neste trabalho, foi utilizada a metodologia SARIMA de modo a fazer previsões mensais de chegadas turísticas a Singapura. O melhor modelo de previsão é considerado ser (1,0,1) (1,1,0) 12, sendo obtidas previsões mensais num prazo de dois anos relativamente ao futuro. Além disso, vários testes estatísticos (por exemplo Dickey Fuller, KPSS, Hegy, Ljung-Box, BoxPierce etc.) foram aplicados sobre as séries cronológicas para adequação do melhor modelo para o ajuste, da análise de auto correlação residual e para a precisão da previsão.Palabras clave: Previsão, Seasonal ARIMA, chegadas de turistas, Singapura.

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“…Today, travel is seen as an affordable commodity to be enjoyed by all who choose to do so (Singh, 1997). As a result, the proportion of the population that engages in pleasure travel in both the developed and developing world has increased dramatically (Singh, 1997;Toivonen, 2004).…”

Section: Introductionmentioning

confidence: 99%

Non‐travel by Hong Kong residents

McKercher

2009

Journal of Tourism Research

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The study examined non-travel by Hong Kong residents. Cluster analysis was used to segment the non-travelling population into fi ve groups. Overall, two-thirds of nontravellers indicated that taking a pleasure trip each year is unimportant to them. Yet, when asked to identify barriers to travel, lack of interest is cited rarely. Instead, intrapersonal barriers were identifi ed as the most critical barriers by elderly singles and couples with low incomes. Affordability, work and family commitments were identifi ed by all other groups. Nontravellers simply do not have the travel bug and often have to rely on socially acceptable barriers to rationalise their lack of interest.

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Asia pacific tourism industry: Current trends and future outlook

Cited by 36 publications

References 3 publications

In search of patterns among travellers' hotel ratings in TripAdvisor

In search of patterns among travellers' hotel ratings in TripAdvisor

Forecasting tourist in-flow in South East Asia: A case of Singapore

Non‐travel by Hong Kong residents

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