Statistical model of investment evolution in European Union in the context of blockchain system

Author:

Anghel Mădălina-Gabriela1,Anghelache Constantin2,Barbu Cristian Marian1,Dumbravă Gabriel Ștefan3

Affiliation:

1. ”Artifex” University of Bucharest , Romania

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

3. The Bucharest University of Economic Studies , Romania

Abstract

Abstract The economic growth of the national economy, within international bodies, as well as in the European Union, is a priority under the present conditions. Capital placement in geographic areas is based on effective opportunity studies. Such an analysis involves access to databases that satisfy the criteria for selecting the place of investment. At the same time, the media interested in attracting national or international investments can take such a decision on the basis of the data that will lead it to the optimal decision. Usually study of the market and the investment fields is insufficient and as such the effectiveness of the project is reduced. Under the very big data base, investors will have the chance to have information that needs to be used in a short time, and such opportunities need to be endowed with ultra-modern information systems. The issue of national and international investment is of utmost interest for any Member State of the European Union. In this respect, major projects will be developed involving as many member countries as possible, provided that everyone has the supremacy (to provide benefits) in a particular project sub-domain. Only specialization can provide the path to a viable and yet prolific economic and scientific cooperation. Through its directives, the European Union pursues both the individual development of each country and, above all, the complex development of the whole of the Union. In the big data era, investments, attracting them or entering into intra-Community economic cooperation provide a much faster course.

Publisher

Walter de Gruyter GmbH

Reference15 articles.

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

2. Anghel, M.G., Anghelache, C., Avram, D. & Burea, D. (2017). Foreign direct investment as an accumulated share of national wealth. Romanian Statistical Review, Supplement, 10, 37-46.

3. Anghel, M.G., Anghelache, C., Stanciu, E. & Popovici, M. (2016). The substantiation of the investment decision. Romanian Statistical Review, Supplement, 8, 94-103.

4. Anghelache, C. (2018). Bilanțul economic al României la 100 de ani, Bucureşti: Editura Economică.

5. Anghelache, C., Anghelache, G.V., Niţă, G. & Sacală, C. (2015). Study on evolution of foreign direct investment flows – model analysis. Romanian Statistical Review Supplement, 10, 120-127.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3