Open Access
Article
SciPap-895
Econometric Analysis of Machine-Building Enterprises´ Sustainability in the Context of Neosystem Paradigm
by
Maryna Kravchenko 1,*
1 “Igor Sikorsky Kyiv Polytechnic Institute”, Faculty of Management and Marketing, Management Department, National Technical University of Ukraine, Peremogy ave. 37, Kyiv 03056, Ukraine
* Authors to whom correspondence should be addressed.
Abstract: Sustainability of business entities is one of the most actual unsolved problems in economics and management. Our research was devoted to its elaboration in the context of a new system-structural (neosystem) methodological paradigm, which implies a priori separation of all economic systems into four types depending on their spatial and temporal localization. Thus just a set of four different types of systems may be economic sustainable. The purpose of this work was to test the hypothesis that the economic sustainability of the enterprise caused by the level of balance of its four subsystems and can be determined on the basis of its measurement. It represents the results of the econometric analysis of 16 machine-building enterprises of Ukraine for the period of 2004-2015, conducted by the methods of Data Mining technology. We have determined the indexes of the enterprises’ subsystems, estimated their mutual balance and on the basis of all estimates – the indexes of system balance of the enterprises. To test our hypothesis, we have compared the indexes of system balance with the results of traditional estimation of sustainability conducted on the basis of generally accepted financial ratios. This allowed to confirm the hypothesis and to identify the systemstructural character of the imbalances of the subsystems inherent to the machinebuilding enterprises.
Keywords: Balance Of Economic System, Economic Sustainability Of Enterprise, Neosystem Methodological Paradigm, Machine Building
JEL classification: B49 - Other, C12 - Hypothesis Testing: General, C23 - Panel Data Models • Spatio-temporal Models, L60 - General
SciPap 2017, 25(3), 895
Received: 9 November 2016 / Accepted: 23 October 2017 / Published: 5 December 2017
