Issue |
SHS Web Conf.
Volume 74, 2020
The 19th International Scientific Conference Globalization and its Socio-Economic Consequences 2019 – Sustainability in the Global-Knowledge Economy
|
|
---|---|---|
Article Number | 06012 | |
Number of page(s) | 9 | |
Section | Economic Sustainability in Emerging Markets | |
DOI | https://doi.org/10.1051/shsconf/20207406012 | |
Published online | 10 January 2020 |
Promises for cluster progression: Russian automotive market outlook
Saint Petersburg State University, 7/9 Universitetskaya nab., Saint Petersburg, 199034, Russia
* Corresponding author: e.korostyshevskaya@spbu.ru
Purpose of this article is to define the ability of Russian institutions to act as agents of change and innovation. Growing multi local economic activity stimulates innovative enterprises for cooperation with stakeholders. Usually, it means consumers, suppliers, authorities and government involvement in change processes. If achievement of interests balance is clear and transparent for all stakeholders, they will be change agents. Modern experience in streamlining social and economic relations between stakeholders focuses on the development of functional institutions that can act as agents of change. Forms of organization of such institutions can be clusters, technology parks, holdings, management companies, joint-stock companies, state-owned companies, manufacturers’ associations, marketing cooperatives, and professional communities. Research methods are statistics index analysis and network analysis. Working with these research methods, World Bank Input-Output Database, Federal Custom data, Rosstat data and law searching system we prove impossibility of full-fledged cluster policy implementation. Finally we prove that present Russian institutes are complacent and require more transparency. Consequently, cluster progression needs for common institutional space, supporting clear and transparent transactions between stakeholders, regardless of their location and technologies used.
© The Authors, published by EDP Sciences, 2020
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.