Application of Vector Measure Construction Methods to estimate growth factors of fundamental importance for the economy on the example of nations in transition
Author(s) -
Danuta Miłaszewicz,
Mateusz Piwowarski,
Kesra Nermend
Publication year - 2020
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2020.09.262
Subject(s) - openness to experience , quality (philosophy) , measure (data warehouse) , economy , empirical research , element (criminal law) , computer science , economics , economic system , data mining , statistics , mathematics , political science , psychology , social psychology , philosophy , epistemology , law
The article attempts to analyse the fundamental factors of economic growth in the selected countries of Central and Eastern Europe and Central Asia, which in the early 1990s introduced a market system in their economies. The economies under studies were analysed by indicators characterizing fundamental growth factors, time and cross-sectional analyses and the economies were compared and classified using the Vector Measure Construction Method (VMCM). The empirical part of the study was preceded by a presentation of the nature and significance of fundamental factors of economic growth and a description of the relationships between them. The results of the analysis indicate that for various group of countries distinguished in terms of development another fundamental growth factors were important. For the richest countries international integration (economy openness) seems to be the most relevant element, while for the least developed countries - geographic location and the institution quality are the most important.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom