Analyzing the Efficiency of Travel and Tourism in the European Union

Barišić, Petra; Cvetkoska, Violeta

doi:10.1007/978-3-030-21990-1_10

Cited by 12 publications

(14 citation statements)

References 30 publications

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“…On the other hand, the BCC model measures the pure technical efficiency. The efficiency frontier given by the CCR model is in the form of a convex cone, while the efficiency frontier given by the BCC model represents the convex hull [93]. Therefore, there is a higher number of DMUs marked as efficient by the BCC model.…”

Section: Methodsmentioning

confidence: 99%

Comparison of the Results of a Data Envelopment Analysis Model and Logit Model in Assessing Business Financial Health

Horváthová

Mokrišová

2020

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This paper focuses on business financial health evaluation with the use of selected mathematical and statistical methods. The issue of financial health assessment and prediction of business failure is a widely discussed topic across various industries in Slovakia and abroad. The aim of this paper was to formulate a data envelopment analysis (DEA) model and to verify the estimation accuracy of this model in comparison with the logit model. The research was carried out on a sample of companies operating in the field of heat supply in Slovakia. For this sample of businesses, we selected appropriate financial indicators as determinants of bankruptcy. The indicators were selected using related empirical studies, a univariate logit model, and a correlation matrix. In this paper, we applied two main models: the BCC DEA model, processed in DEAFrontier software; and the logit model, processed in Statistica software. We compared the estimation accuracy of the constructed models using error type I and error type II. The main conclusion of the paper is that the DEA method is a suitable alternative in assessing the financial health of businesses from the analyzed sample. In contrast to the logit model, the results of this method are independent of any assumptions.

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Section: Methodsmentioning

confidence: 99%

Comparison of the Results of a Data Envelopment Analysis Model and Logit Model in Assessing Business Financial Health

Horváthová

Mokrišová

2020

Information

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“…When using this model orientation, the model determines proportional increase of outputs that would lead to maximization of outputs for a given level of inputs. The non-oriented DEA model is a model in which the input variables are simultaneously reduced and the output variables are increased in order for the DMUs to become efficient [16][17][18][19].…”

Section: Data Envelopment Analysis (Dea): Theoretical Background and ...mentioning

confidence: 99%

Application of Data Envelopment Analysis (DEA) in Information and Communication Technologies

Čiković

Lozić

2022

Teh. glas. (Online)

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The consistent improvements and fast-growing trend of information and communication technology (ICT) have impacted all areas of society and the economy. In 2020, with the sudden pandemic of COVID-19, businesses worldwide faced great challenges and had to transform and become digital-native enterprises by using data analytics, digital business platforms and personalized customer approaches. In such a digital era, innovation, entrepreneurial dynamism and ICT are the key ingredients for business' success and sustainability. Furthermore, it has become very clear that the influence of the ICT industry on economic growth is immense. Therefore, it should not come as a surprise that the interest in research of the ICT industry is great. Data Envelopment Analysis (DEA) is the leading non-parametric mathematical technique for assessing performance and measuring efficiency of complex entities called Decision-Making-Units (DMUs), by conversion of multiple input variables to multiple output variables. DEA has experienced rapid growth in use in many areas ever since its introduction by Charnes, Cooper and Rhodes in 1978. The purpose of this paper is to present and describe Data Envelopment Analysis as the leading mathematical programming technique for data analysis and to provide an extensive literature review, to identify the studies implementing the DEA methodology in Information and Communication Technologies (ICT) and to present its findings. Furthermore, this study's goal is to inspire and encourage researchers to employ this methodology in the fields of ICT and to give guidance for future research in this area.

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“…The formation of a supranational tourism development policy requires appropriate analysis of the situation and sound scientific recommendations (Van der Schyff et al, 2019). The information and analytical framework of such a policy include a wide range of issues, the most common and important of which in the EU are the following: analysis of tourism performance in individual countries and the EU as a whole, assessment of the impact on GDP and employment at the macro level, including policy effectiveness (Barišić & Cvetkoska, 2020); assessment of tourism potential of countries and regions (Aytuğ & Mikaeili, 2017); analysis of tourism geography, forecasting tourist attractiveness and load, modeling of tourist flows between coun-tries (Nielsen & Kaae, 2008); study of development trends of certain areas or types of tourism, for example, urban (Pasquinelli & Bellini, 2017) and rural (Ruukel et al, 2020) tourism, as well as tourism in coastal areas (Holleran, 2020); identifying comparative advantages of countries in tourism and their drivers (Algieri et al, 2016).…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of asymmetry factors in the development of the EU tourism industry

Polyakov

Bilozubenko

Nebaba

et al. 2020

Innovative Marketing

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The effects of the economic recession and the COVID-19 crisis call for more active support for the tourism industry. To pursue a supranational tourism policy and create a favorable marketing environment at the national level, it is necessary to consider the objective differences between member states and their characteristics in the field of tourism. This study aims to highlight the main factors that characterize the asymmetry of the tourism industry in the EU countries, which allows ensuring the competitiveness of national tourism companies through the formation of an appropriate marketing strategy. The research methodology includes calculation of the asymmetry coefficient and cluster and classification analysis based on Eurostat data.At the first stage, 27 indicators were selected that characterize the structural proportions of the tourism industry and the intensity of tourism in the EU countries. Based on the calculation of the asymmetry coefficient, a high level of heterogeneity of the tourism industry parameters in the EU countries for each of the indicators was demonstrated. At the second stage, clustering (algorithm – k-means, metric – Euclidean distance) of the EU countries was carried out according to the selected indicators. As a result, eight clusters were obtained, which showed asymmetry in developing national tourism sectors in the EU. At the third stage, as a result of classification (method – decision trees), seven combinations of indicators were identified, which completely distinguish the resulting clusters of the EU countries. The parameters included in these combinations are, in fact, the main factors of the asymmetry in the development of the EU tourism industry.Based on the analysis of the asymmetric development of the tourism industry by country, it is possible to determine its growth points and competitiveness drivers in the EU internal market and identify marketing strategies.

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Analyzing the Efficiency of Travel and Tourism in the European Union

Cited by 12 publications

References 30 publications

Comparison of the Results of a Data Envelopment Analysis Model and Logit Model in Assessing Business Financial Health

Comparison of the Results of a Data Envelopment Analysis Model and Logit Model in Assessing Business Financial Health

Application of Data Envelopment Analysis (DEA) in Information and Communication Technologies

Analysis of asymmetry factors in the development of the EU tourism industry

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