Building composite indicators in tourism studies: Measurements and applications in tourism destination competitiveness

Mendola, Daria; Volo, Serena

doi:10.1016/j.tourman.2016.08.011

Cited by 141 publications

(136 citation statements)

References 43 publications

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“…Academics have focused increasing attention on TC over the past decades, and relevant studies have focused on comprehensive frameworks [5][6][7], measurement index [6,[8][9][10] and the comparison of destination competitiveness [11][12][13]. Nevertheless, the TC-EG nexus has been largely ignored.…”

Section: Introductionmentioning

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: Introductionmentioning

confidence: 99%

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

Wang

Liu

2020

Sustainability

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“…For example, Gooroochurn and Sugiyarto [6] used data from the competitiveness monitor scale proposed by the World Travel and Tourism Council, which measures TDC through the development of eight key indicators, using confirmatory factor analysis, in order to calculate an aggregate index; Croes [7] proposed a more accurate TDC index, using the most important factors affecting the competitiveness of island destinations; Croes and Kubickova [8] proposed an alternative TCI, which they apply to the Central American region; some authors used data from the TTCI of the WEF for an global analysis of tourism competitiveness [9][10][11][12], while other authors used other information sources pertain to specific destinations [13][14][15]. In this regard, it is worth mentioning the research works by Mendola and Volo [16] that offered the methodological foundations to build composite indicators in tourism and evaluated a set of currently available composite indicator.…”

Section: Literature Reviewmentioning

confidence: 99%

Sustainability as a Key Factor in Tourism Competitiveness: A Global Analysis

Rodríguez‐Díaz

Fernández

2019

Sustainability

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The aim of this study is to analyze the relationship between sustainability and tourism competitiveness and potential differences in these parameters between geographical regions. The Travel and Tourism Competitiveness Index (TTCI) of the World Economic Forum is most commonly used to measure tourism competitiveness, however, this index has been criticized by some academics. We propose a synthetic indicator (I mα ) using the multicriteria double reference point method, which can measure tourism competitiveness more accurately by applying different degrees of substitutability among pillars. The Sustainable Development Index (SDG Index) frames the implementation of Sustainable Development Goals and was used to analyze sustainability data. The new tourism competitiveness index (I mα ) was obtained at both the global and regional level. It is important to note that some countries have a different ranking in the regional and global tourism competitiveness indexes, which shows a different behaviors among regions. The relationship between sustainability and tourism competitiveness is positive in all the analyses performed, though it is stronger when calculated without allowing substitutability, especially when considering the regional index. These trends show the value of this regional study of tourism competitiveness, because in addition to helping managers develop strategies to improve tourism competitiveness, it allows them to know the effect that these strategies will have on sustainability.

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“…Ivanov and Webster (2014) have demonstrated the impact of tourism competitiveness on the economic growth, based also on TTCI, in a cross-section analysis of 131 countries. Mendola and Volo (2017) have developed different methodologies for assessing tourism competitiveness indicators, starting from the evaluation of the effectiveness of the currently available composite indicators.…”

Section: Review Of the Scientific Literaturementioning

confidence: 99%

Cee-16: A Cluster Analysis Based on Tourism Competitiveness and Correlations With Major Determinants

Popescu¹,

Oehler-Şincai²,

Bulin³

et al. 2018

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The purpose of this paper is to identify the main groups of CEE-16 countries in terms of tourism competitiveness. Competitiveness, as part of the supply side, is addressed in view of the supply-demand correlations, and we consider the attractiveness of tourist destinations from the tourists' perspective as the link between the two sides. For the analysis are selected exactly the 16 countries participating in the 16+1 platform initiated by China in 2011, tourism being one of the components of sectoral cooperation in this framework. We demonstrate that tourism infrastructure (its upgrading and development) is one of the main determinants of tourism competitiveness, even surpassing in importance the tourism assets. In this context, the "China factor" might play a significant role for the CEE-16 in terms of spurring competitiveness, as it is not antagonistic, but complementary with other determinants of competitiveness, including the EU funds. From the perspective of attractiveness, 16+1 cooperation can boost Chinese tourists' arrivals in the region. In order to test these hypotheses, as part of the methodology, the authors calculate a specific travel and tourism competitiveness index (STTCI), starting from the main objectives of the 16+1 cooperation platform, namely prioritization, openness, environmental sustainability, transport infrastructure and specific infrastructure for tourism services. The authors correlate this STTCI with other qualitative indicators and obtain two categories of clusters among the CEE-16 countries. In Romania's case, one can remark the following paradox. The cumulative amount of investment in tourism during 2000-2017 is the largest among the CEE-16 countries, corresponding to its tourism assets and the necessity to connect them; however, Romania lags behind most of the analyzed countries in terms of qualitative indicators such as revealed comparative advantage, direct productivity and multiplier effect of GDP. Therefore, the cluster it belongs to does not reflect its real tourism assets.

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Building composite indicators in tourism studies: Measurements and applications in tourism destination competitiveness

Cited by 141 publications

References 43 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

Sustainability as a Key Factor in Tourism Competitiveness: A Global Analysis

Cee-16: A Cluster Analysis Based on Tourism Competitiveness and Correlations With Major Determinants

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