A DEA Travel–Tourism Competitiveness Index

Martı́n, Juan Carlos; Mendoza, Cira; Román, Concepción

doi:10.1007/s11205-015-1211-3

Cited by 57 publications

(41 citation statements)

References 35 publications

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“…In addition, the TTCI has been issued by the WEF since 2007, and eight editions have been published up to 2017. As a comprehensive and systematic collection of data on destination competitiveness [36], TTCI is very effective in judging the strengths and weaknesses of a country's tourism development [37]. Therefore, the indicators and the results of the TTCI have been increasingly employed by scholars in evaluating destination competitiveness [12,14,15,19,[36][37][38][39][40].…”

Section: Evaluation Of Tcmentioning

confidence: 99%

The Coupling Coordination Relationship between Tourism Competitiveness and Economic Growth of Developing Countries

Wang

Liu

2020

Sustainability

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On the basis of the coupling coordination degree (CCD) model and information entropy weight method, this study examined the relationship between tourism competitiveness and economic growth of 56 developing countries from 2008 to 2017. The results show that: (1) the overall status of the CCD between tourism competitiveness and economic growth was in a state of unbalance that was mainly caused by the lag of economic growth, which demonstrates the important contribution of tourism in developing regions. (2) the CCD has been gradually improving since 2008, and the differences amongst the CCDs of developing countries have been shrinking and (3) the spatial distribution of the CCD between tourism competitiveness and economic growth has heterogeneity.

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Section: Evaluation Of Tcmentioning

confidence: 99%

The Coupling Coordination Relationship between Tourism Competitiveness and Economic Growth of Developing Countries

Wang

Liu

2020

Sustainability

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“…One example with large international recognition is the Travel and Tourism Competitiveness Index developed by the World Economic Forum (2008), which uses a very large set of quantitative indicators. Based on this index, several authors applied different methodologies in order to refine the analysis of particular aspects of tourism competiveness: Mazanek et al (2007) selected a particular group of indicators in order to provide an explanatory model for tourism competitiveness; Navickas, Malakauskaite (2009) oriented the use of these indicators to questions related with innovation; Webster, Ivanov (2014) analysed the relation between this index and the contribution of tourism for economic growth; Martín et al (2017) proposed a definition of a benchmark position and country profiles regarding tourism competitiveness.…”

Section: The Region As the Territorial Level Of Analysismentioning

confidence: 99%

Territory and Sustainable Tourism Development: a Space-Time Analysis on European Regions

Romão

Guerreiro

Rodrigues

2017

REGION

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Abstract. In the long run, tourism competitiveness depends on the sustainable use of territorial assets: the differentiation of destinations depends on the integration of cultural and natural resources into the tourism supply, but also on their preservation over time. Using advanced spatial econometric techniques this work analyses the relationships between regional tourism competitiveness, the dynamics of tourism demand and investment, as well as the existence of natural resources and cultural assets in the European context. Despite the close relationship between tourism activities and the characteristics of the territories, the application of methods of spatial analysis in tourism studies is still scarce and the results of this work clearly show their potential for this field of research. Among the main findings of this paper, it was observed that natural resources do not have the expected positive impacts on regional tourism competitiveness and that European regions with more abundant natural resources are often developing unsustainable forms of mass tourism with low value added and little benefits for the host communities. The existence of spatial correlation effects suggests that positive spillovers arising from tourism dynamics in neighbourhood regions prevail over potential negative effects related to the competition between destinations. Policy and managerial implications of these results are discussed and further research questions are proposed.

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“…There are different techniques and proposals based on: (1) cross-efficiency DEA models (Sexton et al 1986, Doyle, Green 1994, Adler et al 2002; (2) super-efficiency models (Andersen, Petersen 1993, Zhu 1996, Seiford, Zhu 1998; and (3) virtual efficiency models (Bazargan, Vasigh 2003, Martín, Román 2006, Barzegarinegad et al 2014, Martín et al 2017). …”

Section: Methodsmentioning

confidence: 99%

Regional Spanish Tourism Competitiveness. A DEA-MONITUR approach

Martı́n

Mendoza

Román

2017

REGION

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Abstract. The aim of this paper is to analyse the regional tourist competitiveness performance in Spain. We use the seven pillars of tourism from a very detailed and complete database carried out by the Spanish Government -MoniTUR 2010 as primary data. Thus, we calculate several regional tourist competitiveness indices using data envelopment analysis (DEA) to analyse the robustness of the results obtained in the ranking of the tourist competitiveness for the 17 Spanish Autonomous Communities. Our results are robust to the use of two different modelling strategies: (1) input and output variables selection; and (2) virtual and super efficiency DEA models. Madrid and La Rioja are found to be the most competitive regions; meanwhile other inland regions of Spain like Extremadura and Aragón are the least competitive. The position of each of the laggard Autonomous Communities should be analysed by their respective destination management organizations (DMOs) in order to envisage adequate corrective measures.

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A DEA Travel–Tourism Competitiveness Index

Cited by 57 publications

References 35 publications

The Coupling Coordination Relationship between Tourism Competitiveness and Economic Growth of Developing Countries

The Coupling Coordination Relationship between Tourism Competitiveness and Economic Growth of Developing Countries

Territory and Sustainable Tourism Development: a Space-Time Analysis on European Regions

Regional Spanish Tourism Competitiveness. A DEA-MONITUR approach

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