Travel &amp;Tourism Competitiveness: A Study of World's Top Economic Competitive Countries

Cîrstea, Ştefan Dragoş

doi:10.1016/s2212-5671(14)00588-7

Cited by 33 publications

(20 citation statements)

References 6 publications

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“…TCI is an index calculated by World Economic Forum (WEF, 2017), computed from 14 complementary pillars (TCI_01 -TCI_14), which is measuring the attractiveness of each country to develop tourism business activities within its territory. Although it can be subject for reinterpretations (Croes and Kubickova, 2013;Pulido-Fernández and Rodríguez-Díaz, 2016), TCI has been successfully used in several studies focused on tourism behaviour at international level (Cîrstea, 2014;Seetaram, Forsyth and Dwyer, 2016;Rehman Khan, et al, 2017), being an integrated and comprehensive tool for tourism analysis and observation. For the purpose of analysis, we decided to use for the study the 14 pillars which are forming the TCI for a more detailed vision on tourism attractiveness.…”

Section: Methodsmentioning

confidence: 99%

Determinants and Implications of the Tourism Multiplier Effect in EU Economies. Towards a Core-Periphery PatternS

Pascariu¹,

Ibănescu²

2018

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Tourism is considered an opportunity for ensuring sustainable growth and reducing economic gaps for many less developed countries and regions. Being one of the most dynamics industries, tourism proves to be strongly resilient, with a high level of involvement and multiplication for receiver economies. The multiplication potential is, however, dependent upon a series of factors (endogenous and exogenous), insufficiently analysed in the literature, and the impact on growth and convergence is controversial. This paper aims to bring additional insights from this perspective, the main purpose of the research being to identify the macroeconomic determinants responsible for the higher values of the tourism multiplier effect and to highlight the potential of this industry to reduce the disparities between the economies of the European Union EU. Using the Stepwise regression and a series of indicators that associate the economic, social and spatial dimensions of European tourism, the main determinants of multiplier effects (on GDP and job creation) are identified and, then, the processes of multiplication from the perspective of centre-periphery dynamics are analysed. The research results indicated that tourism development in the Union reflects a centre-periphery model and has a high potential for contributing to reducing intra-EU disparities.

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Section: Methodsmentioning

confidence: 99%

Determinants and Implications of the Tourism Multiplier Effect in EU Economies. Towards a Core-Periphery PatternS

Pascariu¹,

Ibănescu²

2018

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“…The performance of the TTCI is used as a tourism industry development guideline for many developing nations, although some indices have been adjusted to fit nations' unique concerns (Lall, 2001). Cîrstea (2014) used the TTCI to analyse the 15 most competitive nations, including France, Germany, the US, Japan, and Singapore, and concluded that these nations were not a homogenous group. That is, differences exist among the nations, and each nation has its own advantages.…”

Section: Egm Including Prominent Factors In Taiwan's Tourismmentioning

confidence: 99%

“…Studies by Song and Li (2008) have determined the influence of the relative commodity price level on travel and tourism. Other studies have indicated that factors such as the security of the travelling spot, gourmet food, and scenic views are crucial for tourism decisions (Cîrstea, 2014;Enright & Table 1 Total number of tourists from the major nations to Taiwan, 2001Taiwan, -2017 Year Total number of tourists Newton, 2004). Marti and Puertas (2016) noted that in Europe, the tourism industry is important for reducing poverty and regional differences.…”

Section: Introductionmentioning

confidence: 99%

The effect of China's open-door tourism policy on Taiwan: Promoting or suppressing tourism from other countries to Taiwan?

Liou

Hsu

2020

Tourism Management

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A B S T R A C TThis study employs an extended gravity model to analyse the complementarity or competitiveness relationship of the number of inbound tourists and corresponding tourism revenue between China and 19 other nations under the implementation of China's Open-door Tourism Policy to Taiwan in 2008. A simulation for 2018-2021 demonstrates the sustained impact of this policy. The results show that the number of tourists to Taiwan from China reached its peak in 2015 at 41% and will decrease to 9% by 2021. The corresponding tourism revenue will decrease from 49% to 11% over the same period. The results also show that if the number of tourists from China remains above 836,772, the number of tourists from Japan, Hong Kong, Australasia, North America, and Europe will still increase. However, the number of tourists from South Korea and South and Southeast Asia will increase continuously regardless of tourists from China, even far below 836,772.

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“…La competitividad de un destino turístico, es vital para la supervivencia en el mercado (Cîrstea, 2014) y está determinada por su posición en el mercado turístico internacional (Gomezelj & Mihalič, 2008).…”

Section: Competitividad Y Turismounclassified

Diagnóstico de competitividad del turismo en Boyacá (Colombia)

Moreno¹,

Ávila²

2017

Rev. fac. cien. econ.

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ResumenEste artículo presenta un diagnóstico del turismo de Boyacá (Colombia). Para tal efecto se realizó el estudio en siete destinos turísticos mediante la cadena de valor. Se efectuaron 368 entrevistas a empresarios, turistas, habitantes y gobierno. Dentro de las conclusiones se tiene que Boyacá y sus destinos turísticos requieren incrementar su competitividad, sin embargo, los diversos problemas que se encuentran en las cadenas de valor de los destinos turísticos impiden el logro de este objetivo. Palabras clave: Turismo; Cadena de valor; Competitividad; Colombia. DIAGNOSIS OF COMPETITIVENESS OF TOURISM IN BOYACÁ (COLOMBIA) AbstractThis article presents a diagnosis of tourism in Boyacá (Colombia). For this purpose, the study was carried out in seven tourist destinations through the value chain. 368 interviews were conducted with businessmen, tourists, inhabitants and government. Within the conclusions it was found that Boyacá and its tourist destinations require to increase its competitiveness. However diverse problems located in the tourist destinations value chains prevent the achievement of this objective.

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Travel &Tourism Competitiveness: A Study of World's Top Economic Competitive Countries

Cited by 33 publications

References 6 publications

Determinants and Implications of the Tourism Multiplier Effect in EU Economies. Towards a Core-Periphery PatternS

Determinants and Implications of the Tourism Multiplier Effect in EU Economies. Towards a Core-Periphery PatternS

The effect of China's open-door tourism policy on Taiwan: Promoting or suppressing tourism from other countries to Taiwan?

Diagnóstico de competitividad del turismo en Boyacá (Colombia)

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