deaR-Shiny: An Interactive Web App for Data Envelopment Analysis

Benítez, Rafael; Coll-Serrano, Vicente; Bolós, Vicente J.

doi:10.3390/su13126774

Cited by 15 publications

(10 citation statements)

References 64 publications

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“…Fig 4 shows the graphical results of the different tourism centres’ efficiency scores depending on the used model. This figure is known as a reference plot, and it is extracted by using the deaR-shiny web interface [ 60 ]. This figure is formed of three sub-figures ( Fig 4A–4C ) that represented the results of DEA-CCR, DEA-BCC, and FDH analysis models, respectively.…”

Section: Resultsmentioning

confidence: 99%

“…Consequently, running the two models in this research is more appropriate and helps to understand the real reasons behind the efficiency scores. Secondly, running DEA and FDH in parallel was recommended by many researchers who conducted the efficiency analysis in their articles [ 60 , 61 ]. Some researchers have even gone further by inventing a new method that mixed the DEA and FDH models, which reflects the strong relationship between these two models [ 62 ].…”

Section: Methodsmentioning

confidence: 99%

“…To calculate the efficiency measurements in this paper, the Benchmarking package from the R programing language was used [ 59 ]. Additionally, the results were visualized by using the novel web interactive interface (deaR-Shiny), which was devised by Benitez, Coll-Serrano, and Bolós in 2021 [ 60 ].…”

Section: Methodsmentioning

confidence: 99%

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Tourism centres efficiency as spatial unites for applying blue economy approach: A case study of the Southern Red Sea region, Egypt

et al. 2022

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This study aims to assess and analyse the efficiency of the tourism centres in the Southern Red Sea region, Egypt to apply coastal tourism development through the blue economy perspective. According to this aim, the study used two efficiency methods: Data Envelopment Analysis (DEA) and Free Disposal Hull (FDH). A total of 29 tourism centres were selected to conduct the DEA and FDH methods. These efficiency methods (DEA-FDH) used inputs and outputs variables to estimate the efficiency of the tourism centres. The selected inputs were the length of the shoreline (km), area (ha), tourism investments (million EGP), quality of coral reefs, numbers of hotels, and tourism accommodation capacity. While the outputs were employees’ number and tourists’ number. The results indicate that, generally, the tourism centres in the Southern Red Sea region of Egypt showed high-efficiency scores, which reflects their good preparedness to implement the various coastal tourism development strategies from the blue economy perspective. The tourism centres in the Safaga-Quseir tourism sector were the most efficient ones, regardless of the efficiency models used. While the tourist centres representing the Ras Banas tourism sector were the least efficient centres in the whole sample (29 tourism centres).

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Tourism centres efficiency as spatial unites for applying blue economy approach: A case study of the Southern Red Sea region, Egypt

et al. 2022

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“…The selected sample is represented by the 27 European countries and the year under analysis is 2021, considering the World Bank data on economic growth and the last report of the European Commission on Digital Economy and Society Index (European Commission, 2022b). Performing Data Analysis Envelopment method was supported by an academic solution, namely Data Envelopment Analysis in R (Benítez et al, 2021).…”

Section: Methodsmentioning

confidence: 99%

European Efficiency or Inefficiency in Economic Growth Through Digital Transformation

Georgescu

Lungu

Bogoslov

et al. 2023

Sci. Ann. Econ. Bus.

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The current global changes bring to the fore the importance of the innovation and digital transformation for economic development. Under the previous assumption, an objective evaluation of the economic growth discrepancies, considering the digitalization process, is required. The main goal of the present research is to analyse the economic growth of the European countries, based to the digitalization process, by using an input-output method. Under these circumstances, a Data Envelopment Analysis (DEA) was performed, considering the digitalization dimensions of DESI Index as input and the economic growth (annual %) as output. Based on the proposed model, the results highlighted the bidirectional relationship between economic growth and digitalization. Consistent with the research results, the European countries can be divided in two main categories: the efficient and the inefficient. On one hand, we can find the relatively efficient European states in terms of achieving the economic growth through digitalization (Ireland, Romania, Croatia and Greece). On the other hand, there is a numerous list of the inefficient ones, including important countries like Finland, Germany or France. Obviously, a remarkable aspect related to their situation is that, considering the national available inputs, an output maximization will be possible. According to the proposed model, the efficient countries can serve as peers or optimal benchmarks for solving the issue of relative inefficiency, by adapting and implementing their good practices.

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“…Data Envelopment Analysis (DEA) is a mathematical programming technique widely used to evaluate the relative efficiency of a set of homogeneous Decision Making Units (DMUs) consuming the same inputs (different quantities) to produce the same outputs (different quantities) (Benítez et al, 2021). DEA is a non-parametric and linear programming-based method.…”

Section: Data Envelopment Analysis Methodsmentioning

confidence: 99%

Performance Evaluation of Public Hospitals with Data Envelopment Analysis (DEA) Method

Ersoy,

Küsbeci

2023

The Journal of International Scientific Researches

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In recent years, the importance of health services has been increasing due to the improvement in people's quality of life, technological developments in the field of medicine and the aging of the population around the world. Hospitals, which are one of the main institutions of the health care system, are expected to reduce their expenditure values and improve their service quality. For this reason, health systems, and especially hospitals, need to constantly control their performance and provide quality service in order to identify and eliminate their inefficient resources. Although there are different methods used in the evaluation of efficiency in the field of health, Data Envelopment Analysis (DEA) is known as the most frequently used method. This study, it is aimed to carry out efficiency measurements of public hospitals for 81 provinces in Turkiye. In the study, efficiency analyzes were performed using input-oriented CCR and CCR-super-efficiency (SE). According to the results of the CCR model, 33 DMUs are efficient. and 48 DMUs are inefficient. Using the CCR-SE model, the efficient provinces were ranked. As a results of the CCR model, it has been determined which DMUs should be taken as a reference for inefficient DMUs to be efficient.

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deaR-Shiny: An Interactive Web App for Data Envelopment Analysis

Cited by 15 publications

References 64 publications

Tourism centres efficiency as spatial unites for applying blue economy approach: A case study of the Southern Red Sea region, Egypt

Tourism centres efficiency as spatial unites for applying blue economy approach: A case study of the Southern Red Sea region, Egypt

European Efficiency or Inefficiency in Economic Growth Through Digital Transformation

Performance Evaluation of Public Hospitals with Data Envelopment Analysis (DEA) Method

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