Perspectives of the development of world economy in the blockchain conditions and Big Data

Author:

Anghelache Constantin1,Anghel Mădălina-Gabriela2,Dumbravă Gabriel Ștefan3,Dumitru Daniel3

Affiliation:

1. The Bucharest University of Economic Studies / “Artifex” University of Bucharest , Romania

2. ”Artifex” University of Bucharest , Romania

3. The Bucharest University of Economic Studies , Romania

Abstract

Abstract Blockchain is a concept that tends to revolutionize the world of finance in a technological leap that allows fast, secure and decentralized transactions. The Blockchain technology is used in virtual coins (bitcoin) conditions, with a high innovation potential, applicable in various areas, with the advantage of storing databases, resulting in an unprecedented level of transparency in the private or public area. Interestingly, under the bitcoin conditions, the black chain system uses a decentralized peer-to-peer payment system. Practically, the bitcoin can be considered as the most appropriate triple game accounting system. All of these considerations are developing in the big data era, which is defined as a large, diverse, high-volume information base requiring new forms of processing. Big data is important for businesses because based on these, strategic and marketing decisions can be made to optimize the activity in the market conditions and consumer preferences. European Union directives provide for measures to ensure the development of all states and, in this context, the community. At the same time, some measures provide for a more accelerated development for states with a low accession. For this, funds have been made from which important amounts are allocated to these states. The complex development of the European Union aims, in fact, to improve the quality of life (standard of living) in all Member States. At the European community level there are databases usable in economic analyzes. Also, Eurostat is the institution with the most complex databases. Recently, the Conference of the Directors of the Institute of Statistics in the European States analyzed the perspective of calculating the indicators in the context of the big data to be implemented. The article focuses on the concrete study of the use of large data in the calculation of the indicators that underlie the comparability between the EU Member States.

Publisher

Walter de Gruyter GmbH

Reference19 articles.

1. Anderson, A., Semmelroth, D. (2015). Statistics for Big Data, John Wiley & Sons, New Jersey.

2. Anghelache, C., Anghel, M.G., Bodo, G. (2017). Theoretical aspects of the role of information in the process of decisions/risks modeling. Romanian Statistical Review Supplement, 6, 102-111.

3. Anghelache, C., Anghelache, G.V. and Anghel, M.G. (2016). Analysis of the Evolution of Romanian Foreign Commercial Exchange. Romanian Statistical Review, Supplement, Issue 3, pp. 82-90.

4. Anghelache, C., Stanciu, E., Prodan, L. (2014). Production and marketing of IT goods and services. International Symposium “Programs for Romania’s Economic Recovery in the „Horizon 2020” Perspective”, December 2014, Bucharest, 120 – 126.

5. Barber, S., Boyen, X., Shi, E., Uzun, E. (2012). Bitter to better - How to make bitcoin a better currency, Proceedings 16th International Conference Financial Cryptography and Data Security (FC’12), 399-414.

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