Issue |
SHS Web Conf.
Volume 35, 2017
3rd International Conference on Industrial Engineering (ICIE-2017)
|
|
---|---|---|
Article Number | 01044 | |
Number of page(s) | 3 | |
Section | Sustainable Development of Industrial Enterprises | |
DOI | https://doi.org/10.1051/shsconf/20173501044 | |
Published online | 26 June 2017 |
Features of forecasting the development of enterprise structures of the regions in the conditions of global economic change
Higher School of Economics and Management, South Ural State University (NIU), Chelyabinsk, Russia
* Corresponding author: dec_eib@mail.ru
The article substantiates the role of theory in predicting the development of the economies of all levels, in the development of enterprise structures of different scales. The basis for economic and social analysis is the system parameters, which may vary depending on the conditions of economic development, the goals and objectives of the planning period. Prediction of enterprise structures of regional trends should contribute to solving the problem of increasing the productivity and efficiency of the leading sectors of the economy of the region in a globalized economy. Monitoring and forecasting of structural change of business development in a particular region involves the development and formation of appropriate administrative, institutional and financial structures for the creation of investment attractiveness and optimize resource utilization. Keywords – business structures, region, methods of forecasting, economic globalization, management of economic social development and the cluster approach.
© Owned by the authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.