| Issue |
MATEC Web Conf.
Volume 193, 2018
International Scientific Conference Environmental Science for Construction Industry – ESCI 2018
|
|
|---|---|---|
| Article Number | 01036 | |
| Number of page(s) | 7 | |
| Section | Sustainable Strategies of Urban Planning | |
| DOI | https://doi.org/10.1051/matecconf/201819301036 | |
| Published online | 20 August 2018 | |
System of industrial park functioning indicators reflecting the effect of competitiveness factors of resident enterprises
1
Industrial University of Tyumen, 625000 Volodarskogo Street 38, Russia
2
Ural Federal University named after the first President of Russia B. N. Yeltsin, 620002 Mira Street 19, Russia
3
Surgut Oil and Gas Institute, 628405 Entuziastov Street 38, Russia
Corresponding author: alesya2010-11@yandex.ru
Recently, industrial parks, demonstrating their effectiveness, have turned into a locomotive of business development providing the resident enterprises with a whole range of competitive advantages. In order to analyze the impact of factors enhancing the competitiveness of residents of industrial parks, the authors have developed a comprehensive system of indicators for the functioning of the industrial park which provide a quantitative assessment and a comprehensive account of the aggregate of "intra-park", local and regional factors. Considering the requirements formulated by the authors, a system of indicators for the functioning of the industrial park has been developed, which includes two structural blocks: indicators of the industrial park performance and indicators of the industrial park's base area potential. Options of practical use of the formed system of indicators are proposed, on the one hand, to establish targets for further development of the industrial park based on the comparison of the studied industrial park with the projects of competitors, and on the other hand, to design an industrial park development program that ensures the competitiveness of the site residents.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/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.