Abstract

Industry is one of the important sectors of the economy of any country in the world. At the same time, statistics show that the industrial complexes of many countries are developing unevenly, with periodic changes in the structure and volume of production under the influence of many internal and external factors. Ukraine's industrial complex is also undergoing spatial and structural distortions, but these trends do not always correspond to those formed in the world's leading countries in the direction and pace of change, although today the industrial complex of Ukraine is the most important structural part of Ukraine's economy, a third of fixed assets and more than 30% of the employed population. As one of the largest spheres of social production in the country, industrial production determines the level of its socio-economic development, the specialization of the economy and the extent of participation in the territorial division of labor. Properly chosen strategy for the development of industrial production, the appropriate volume and structure of production, a reasonable volume of sales allows all participants in production to achieve their financial goals. This is due to the importance of studying the activities of industrial enterprises. The article constructs nonlinear models of multiple regression, which describe the main trends in industrial production, the effect of external and internal factors on the economic performance of industry in general and industrial enterprises in the western region of Ukraine. It is established that innovative transformations in industrial production have led to the renewal of fixed assets and have had a positive effect on the dynamics of economic results. At the same time, this process was accompanied by a reduction in the number of people employed in industry. It is revealed that the influential factors of the external environment include economic conditions of management, and among the factors of the internal environment – the management of innovation and innovation activity of economic entities. It is recommended to expand the set of tools at the expense of distribution-lag, autoregressive, simulative and other econometric models to describe the relationship between the economic performance of enterprises and factor characteristics.

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