SHS Web Conf.
Volume 35, 20173rd International Conference on Industrial Engineering (ICIE-2017)
|Number of page(s)||5|
|Section||Sustainable Development of Industrial Enterprises|
|Published online||26 June 2017|
Development of industry in Far East of Russia based on use of innovative investment attraction practice
1 Far Eastern Federal University (FEFU), Engineering school, 690018 Russky Island, Russia
2 Student in Far Eastern Federal University (FEFU), Engineering school, 690018 Russky Island, Russia
* Corresponding Author: firstname.lastname@example.org
The article considers the issues relevant at the present stage of economic development of the Far East of the Russian Federation. One of instruments of this economic development of the region is forming the territories of the advancing development which can be considered as one of the possible ways of interaction of industrial enterprises of the subjects of the Far Eastern Federal District with partners from the Asia-Pacific states. The features of the territories of the advancing development, the criteria for classification of the subjects of the Far East as the territories of the advancing development, and the main preferences for the residents of these territories are noted. The algorithms for the estimation of prospects of the activities of the territories of the advancing development are also given in the article. Based on the conducted theoretical researches, the criteria for evaluation of the efficiency of activities of the territories of the advancing development are determined. Based on the analysis of the criteria, a mathematical model for the estimation of efficiency of advancing development territories activities was developed, which clearly demonstrated that in the current economic environment the optimum quantity of the territories of the advancing development in the Far East, securing the maximum performance indicator of their activities, is 8.
© 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.