International competitive advantages in tourism: An eclectic view

Algieri, Bernardina; Aquino, Antonio; Succurro, Marianna

doi:10.1016/j.tmp.2017.11.003

Cited by 42 publications

(35 citation statements)

References 34 publications

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“…It concluded that Mediterranean countries have a high competitive advantage in the tourism sector. However, Croatia and Greece have strong levels of competitiveness (Algieri et al, 2018). Kuşat (2019) also aimed to determine the comparative advantages and advantages of Turkey and 5 countries with the highest tourism income in the tourism sector.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of Specialization and Competition Level in Turkey's Tourism Sector

Erkan

Bozduman

2019

Kocaeli Üniversitesi Sosyal Bilimler Dergisi

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Tourism sector has become quite important in recent years due to its contributions to the balance of payments, employment and national income of both developed and developing countries. In order for countries to become a stronger global actor today, they need to increase their global competitiveness not only in the product markets and industry, but also in the tourism sector. In this perspective, in this study, which covers the period 2003-2017, the level of specialization and competitiveness in the tourism sector, which is a key role for the Turkish economy, were analyzed and "the Revealed Comparative Advantages" approach was used in the analyses. The Balassa index was used to determine the level of competition. In order to determine the level of specialization, the Net Trade index and the Export Import Ratio index were used. According to the results of the analysis, Turkey has provided expertise in the tourism sector and has a moderate competitive edge.

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Section: Literature Reviewmentioning

confidence: 99%

Analysis of Specialization and Competition Level in Turkey's Tourism Sector

Erkan

Bozduman

2019

Kocaeli Üniversitesi Sosyal Bilimler Dergisi

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“…Even, in some cases, international competitive advantages also played an important role to attract international tourism demand (Simionescu et al, 2017). Algieri et al (2018) had studied this for European countries recently and found that, specific factors which related to trade theories 115 able to cause on the international competitive advantages in the context of demand for tourism for 28 European countries which in line with Crouch (2011) and Mazanec et al (2007) or Wróblewski et al (2017) empirical findings.…”

Section: Introductionmentioning

confidence: 78%

How Real Oil Prices and Domestic Financial Instabilities are Good for GCC Countries Tourism Demand in Malaysia?

Loganathan

Štreimikienė

Mursitama

et al. 2018

Economics &Amp; Sociology

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Malaysia, located in the heart of Southeast Asia, is a multicultural country whose 'green' and 'blue' tourism attractions have become the main tourism spot for the Cooperation Council for the Arab States of the Gulf (GCC) tourists. We employed the Threshold Error Correction (TECM) cointegration and the nonlinear causality estimates to capture the nexus between real energy prices and financial stability for the GCC countries' tourism demand in Malaysia using the monthly-based dataset covering the period since 1995 till 2017. The main TECM estimate shows that real energy price fluctuations and financial instability condition in Malaysia positively boost tourists' arrivals from the GCC countries to Malaysia. Indeed, there is evidence of an asymmetric speed of adjustment of the GCC countries' tourism demand with 25.9% and 36.7% of positive and negative deviations, respectively. In addition, this study found a strong evidence of unidirectional nonlinear causal relations running from real energy prices to tourism demands; and also bidirectional causalities running from tourism demand to financial stability. These findings will be helpful for tourism policy makers in Malaysia while drawing a future roadmap to increase the numbers of the GCC tourists' arrivals in future years.

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Section: Resultsmentioning

confidence: 99%

“…Furthermore, policy interventions can guidance for tourism planning and development, thereby creating a favorable tourism environment [52]. Also crucial for effective tourism planning is maintaining the quality of tourists' experiences and shaping their perceptions of places and lifestyles [52, 53]. To increase the number of visitors to Taiwan, the government and major tour operators must tailor their marketing efforts to each individual territory and strive to construct and maintain Taiwan's positive image using various methods.…”

Section: Resultsmentioning

confidence: 99%

“…Given the dynamic effect of nationality, travel agencies could improve their inclusive group packages to generate diversified images. Moreover, a culture of cooperation between different and heterogeneous actors in the business value chain should be fostered [52]. Another necessary approach for Taiwan's destination managers to expand their market reach is to explore potential products that may lure newly emerging markets to Taiwan, such as the younger generation Y segment, while continuing to attract the older Baby Boomer generation [55].…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Particle Swarm Optimization-Based Support Vector Regression for Tourist Arrivals Forecasting

Liu¹,

Chang²,

Li³

et al. 2018

Computational Intelligence and Neuroscience

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The tourism industry has become one of the most important economic sectors for governments worldwide. Accurately forecasting tourism demand is crucial because it provides useful information to related industries and governments, enabling stakeholders to adjust plans and policies. To develop a forecasting tool for the tourism industry, this study proposes a method that combines feature selection (FS) and support vector regression (SVR) with particle swarm optimization (PSO), named FS–PSOSVR. To ensure high forecast accuracy, FS and a PSO algorithm are employed to, respectively, select reliable input variables and to identify the optimal initial parameters of SVR. The proposed method was tested using a data set of monthly tourist arrivals to Taiwan from January 2006 to December 2016. The results reveal that the errors obtained using FS–PSOSVR are comparatively smaller than those obtained using other methods, indicating that FS–PSOSVR is an effective method for forecasting tourism demand.

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International competitive advantages in tourism: An eclectic view

Cited by 42 publications

References 34 publications

Analysis of Specialization and Competition Level in Turkey's Tourism Sector

Analysis of Specialization and Competition Level in Turkey's Tourism Sector

How Real Oil Prices and Domestic Financial Instabilities are Good for GCC Countries Tourism Demand in Malaysia?

Particle Swarm Optimization-Based Support Vector Regression for Tourist Arrivals Forecasting

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