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      Central Banks Digital Currency: Detection of Optimal Countries for the Implementation of a CBDC and the Implication for Payment Industry Open Innovation

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      Journal of Open Innovation: Technology, Market, and Complexity
      MDPI AG

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          Abstract

          This article analyzes the current situation of Central Bank Digital Currencies (CBDCs), which are digital currencies backed by a central bank. It introduces their current status, and how several countries and currency areas are considering their implementation, following in the footsteps of the Bahamas (which has already implemented them in its territory), China (which has already completed two pilot tests) and Uruguay (which has completed a pilot test). First, the sample of potential candidate countries for establishing a CBDC was selected. Second, the motives for implementing a CBDC were collected, and variables were assigned to these motives. Once the two previous steps had been completed, bivariate correlation statistical methods were applied (Pearson, Spearman and Kendall correlation), obtaining a sample of the countries with the highest correlation with the Bahamas, China, and Uruguay. The results obtained show that the Baltic Sea area (Lithuania, Estonia, and Finland) is configured within Europe as an optimal area for implementing a CBDC. In South America, Uruguay (already included in the comparison) and Brazil show very positive results. In the case of Asia, together with China, Malaysia also shows a high correlation with the three pioneer countries, and finally, on the African continent, South Africa is the country that stands out as the most optimal area for implementing a CBDC.

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          Interpreting Kendall’s Tau and Tau- U for single-case experimental designs

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            USO DE LA CORRELACIÓN DE SPEARMAN EN UN ESTUDIO DE INTERVENCIÓN EN FISIOTERAPIA

            El análisis de Correlación de Spearman, es un método estadístico no paramétrico, que pretende examinar la intensidad de asociación entre dos variables cuantitativas. Con base en una investigación clínica real en fisioterapia, el presente artículo ilustra el sustrato teórico subyacente a la aplicación de éste método. Tiene como objetivo ayudar a estudiantes, fisioterapeutas e investigadores a entender su aplicabilidad en muestras pequeñas y en aquellas que no tienen una distribución normal, condiciones muy frecuentes en la investigación en fisioterapia, y puntualizar sobre la interpretación de los resultados.
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              Cryptocurrency market structure: connecting emotions and economics

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                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
                Journal
                Journal of Open Innovation: Technology, Market, and Complexity
                JOItmC
                MDPI AG
                2199-8531
                March 2021
                February 24 2021
                : 7
                : 1
                : 72
                Article
                10.3390/joitmc7010072
                512f39bb-0954-4e79-9616-e53f0220628a
                © 2021

                https://creativecommons.org/licenses/by/4.0/

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