Analysis of International Tourism Demand for Cambodia

Hor, Chantha; Thaiprasert, Nalitra

doi:10.1007/978-3-319-13449-9_28

Cited by 13 publications

(10 citation statements)

References 17 publications

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“…To empirically analyze the existence of the long-run relationship between the dependent variables (H, Gap, Gini) and the predictors (TIR and GDP c ), the autoregressive distributed lag (ARDL) cointegration technique (Pesaran and Pesaran 1997; Pesaran, Shin, and Smith 2001) has been used (Narayan 2004; Srinivasan, Kumar, and Ganesh 2012; Hor 2015; Kumar et al 2016). The ARDL bounds testing approach was used as it has three advantages in comparison with other traditional cointegration methods: ARDL does not need all the variables of the study to be integrated of the same order; it is consistent and relatively more efficient with finite samples and small-sized data sets (as is the case with our data) than the Johansen and the Jeselius tests (Pesaran and Shin 1999); the third advantage is that by applying the ARDL technique, unbiased estimates of the long-run models (Harris and Sollis 2003) are obtained.…”

Section: Data Methods and Resultsmentioning

confidence: 99%

Does Sun-and-Sea All-Inclusive Tourism Contribute to Poverty Alleviation and/or Income Inequality Reduction? The Case of the Dominican Republic

Oviedo-García

Rodríguez

Vega‐Vázquez

2018

Journal of Travel Research

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Tourism represents one of the most important industries in the world and one of the sectors of fastest growth. An understanding of the relation between tourism and poverty is key for poverty reduction in developing countries. The impact of tourism on the reduction of both poverty and inequality in income distribution is analyzed in this paper in the Dominican Republic (within the Caribbean Community of Small Island Developing States). The Ng and Perron test for analyzing time series stationarity and the AutoRegressive Distributed Lag bounds test were used to determine the existence of long-term relationships. The shortrun dynamic models represented by the Error Correction Models were also estimated. The results showed that income from tourism has not alleviated poverty and has clearly failed to reduce inequality in the distribution of wealth. Finally, management implications are also provided for public and private bodies wishing to achieve sustainable tourism.

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Section: Data Methods and Resultsmentioning

confidence: 99%

Does Sun-and-Sea All-Inclusive Tourism Contribute to Poverty Alleviation and/or Income Inequality Reduction? The Case of the Dominican Republic

Oviedo-García

Rodríguez

Vega‐Vázquez

2018

Journal of Travel Research

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“…The results indicated that in the long run, for price-sensitive tourists, Thailand and Singapore could be regarded as substitutes for the Philippines and Jeju Island. Hor and Thaiprasert (2015) examined international tourism demand from six regions to Cambodia and found that tourism demand for Cambodia is significantly associated with relative prices in four out of six cases. More recently, Chi (2020) investigated the effects of bilateral and third-country exchange rate volatility on Korean tourism demand for Japan, Philippines, Singapore, Taiwan, and the US.…”

Section: Literature Reviewmentioning

confidence: 99%

Is there complementarity or substitutability among Hawaiian islands? Evidence from the autoregressive distributed lag approach

Chi

2020

Current Issues in Tourism

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Despite the growing importance of competitive tourism markets in Hawaii, little is known about the dynamic effects of relative and substitute prices on US tourism demand for Hawaii. This paper estimates own-and crossprice elasticities with respect to airfare and hotel room prices among Hawaiian islands (Oahu, Hawaii Island, Maui, and Kauai). Using the autoregressive distributed lag approach, the results indicate that US real income is the key short-and long-run force driving tourism demand for Hawaiian islands. The estimated own-price elasticities indicate that in the long run, US tourists are more sensitive to airfare than to hotel room prices. Regarding cross-price elasticities, eight out of 12 coefficients of cross-airfare variables are statistically significant, but they have mixed signs. Rising airfares in Oahu reduce the number of US visitor arrivals in Hawaii Island, Maui, and Kauai, revealing complementary relationships between Oahu and its adjacent islands. In the short run, Maui exhibits a positive cross-price elasticity with respect to hotel room rates for Oahu, Hawaii Island, and Kauai, finding evidence of short-run substitutability between Maui and its neighbouring islands.

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“…Historically, many academic researches mostly mentioned on economic growth and especially tried to statistically investigate market behaviours in financial or tourism sectors around the world. For instances, Kraipornsak (2011), Marire and Sunde (2012), Tsaurai and Odhiambo (2013), Alberti et al (2014), Bozkurt et al (2015), Hor (2015), Sohag et al (2015), Konarasinghe (2016), and Pomsuwan and Soontayatron (2017). Differently, Bayesian statistics was applied to extend the ability of the unit root testing, PVAR model, and the Granger-causality analysis.…”

Section: Literature Reviewmentioning

confidence: 99%

Identification of the Connection between Tourism Demand and Economic Growth in ASEAN-3

Wannapan

Chaiboonsri

Sriboonchitta

2018

IJTGM

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This paper is based on the Bayesian inference to explore two purposes. First, the specific objective is proposed to consider an empirical analysis employing the panel Bayesian vector autoregressive (PBVAR) model. Secondly, the empirical study is aimed to analyse the driven factor between tourism demands and service sectors by adapting Granger-causality Bayesian test. Technically, the simulated computation called Markov chain Monte Carlo (MCMC) approach is employed to investigate the research's findings. Yearly time-series data of tourism growth (tourist arrivals) and economic growth (service sectors) in ASEAN-3 countries such as Singapore, Thailand, and Malaysia were observed during 1996-2015. The empirical results of this study will deeply clarify the linkage between tourism demands and economy in ASEAN-3 countries and give recommendations to more assure that a suitable tourism policy is appropriately activated.

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Analysis of International Tourism Demand for Cambodia

Cited by 13 publications

References 17 publications

Does Sun-and-Sea All-Inclusive Tourism Contribute to Poverty Alleviation and/or Income Inequality Reduction? The Case of the Dominican Republic

Does Sun-and-Sea All-Inclusive Tourism Contribute to Poverty Alleviation and/or Income Inequality Reduction? The Case of the Dominican Republic

Is there complementarity or substitutability among Hawaiian islands? Evidence from the autoregressive distributed lag approach

Identification of the Connection between Tourism Demand and Economic Growth in ASEAN-3

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