THE RESULTS OF FORECASTING THE MAIN INDICATORS OF INNOVATIVE DEVELOPMENT OF THE REGIONAL ECOSYSTEM OF THE VORONEZH REGION-Reference-Cited by-同舟云学术

THE RESULTS OF FORECASTING THE MAIN INDICATORS OF INNOVATIVE DEVELOPMENT OF THE REGIONAL ECOSYSTEM OF THE VORONEZH REGION

Published:2022-04-13 Issue:1 Volume:10 Page:8-33
ISSN:2308-8877
Container-title:Actual directions of scientific researches of the XXI century: theory and practice
language:en
Short-container-title:

Author:

Bugakov Vladimir,Nikonov Vadim¹

Affiliation:

1. Federal State Budget Educational Institution of Higher Education «Voronezh State University of Forestry and Technologies named after G. F. Morozov»

Abstract

The scientific works of foreign authors dealing with the formation and problems of the functioning of regional innovation ecosystems are considered. It was revealed that, despite the numerous results of scientific research in the development of regional innovation ecosystems existing in the world, a complete and detailed set of necessary conditions for ensuring the high development and success of the regional innovation ecosystem has not yet been developed. A system of two groups of indicators is proposed, including indicators of the development and success of the innovation ecosystem, with the help of which it is possible to assess the innovative development of the regional ecosystem of the Voronezh region. A model of innovative development of the regional ecosystem of the Voronezh region was developed on the basis of a combination of the method "structural model of innovative development" and the method of "black box", characterizing the success of the innovative development of the ecosystem of the studied region. The proposed methodology is described, which makes it possible to assess the innovative development of the regional ecosystem of the Voronezh region. A forecasting technique based on simple dynamic analysis, autoregressive method, and Cramer's method is presented. Regression equations are obtained for all the studied indicators. The values of the studied indicators of the innovative development of the regional ecosystem of the Voronezh region were calculated for the period from 2020 to 2023. An area diagram was constructed, which made it possible to identify both a positive growth of some indicators and a negative dynamics of changes in the indicators of innovative development of the regional ecosystem. One of the main problems hindering the development of the regional ecosystem of the Voronezh region, which is to reduce the number of young scientists, has been identified. The analysis of the reasons contributing to the occurrence of this problem is carried out. A list of effective measures to promote the growth of the number of young scientists is proposed.

Publisher

Voronezh State University of Forestry and Technologies named after G.F. Morozov

Reference33 articles.

1. Pidorycheva I. A Conceptual Framework for Developing of Regional Innovation Ecosystems / I. Pidorycheva, H. Shevtsova, V. Antonyuk, N. Shvets, H. Pchelynska // A Conceptual Framework for Developing of Regional Innovation Ecosystems. European Journal of Sustainable Deveiopment (2020), 9 – 3. – 626-620. – Bibliogr.: 639-640 p. (33 titles). – DOI 10.14207/ejsd.2020.v9n3p626., Pidorycheva I. A Conceptual Framework for Developing of Regional Innovation Ecosystems / I. Pidorycheva, H. Shevtsova, V. Antonyuk, N. Shvets, H. Pchelynska // A Conceptual Framework for Developing of Regional Innovation Ecosystems. European Journal of Sustainable Deveiopment (2020), 9 – 3. – 626-620. – Bibliogr.: 639-640 p. (33 titles). – DOI 10.14207/ejsd.2020.v9n3p626.

2. Xiaojing Huang Determinants of Innovation Ecosystem in Underdeveloped Areas-Take Nanning High-Tech Zone in Western China as an Example / Xiaojing Huang, Lei Ma, Rao Li, Zheng Liu // Journal of Open Innovation : Technology, Market, and Complexity 2020. – 6. – 135. – Bibliogr.: 14-15 p. (43 titles). – DOI 10.3390/joitmc6040135., Xiaojing Huang Determinants of Innovation Ecosystem in Underdeveloped Areas-Take Nanning High-Tech Zone in Western China as an Example / Xiaojing Huang, Lei Ma, Rao Li, Zheng Liu // Journal of Open Innovation : Technology, Market, and Complexity 2020. – 6. – 135. – Bibliogr.: 14-15 p. (43 titles). – DOI 10.3390/joitmc6040135.

3. Qianyu Zhu Exploring how to build innovation and entrepreneurship education ecosystems in universities in Guangdong against the backdrop of the Guangdong – Hong Kong – Macau Greater Bay Area / Qianyu Zhu // E3S Web of Conferences 165 02005 (2020) CAES 2020. – Bibliogr.: p. 7 (16 titles). – DOI 10.1051/e3sconf/202016502005., Qianyu Zhu Exploring how to build innovation and entrepreneurship education ecosystems in universities in Guangdong against the backdrop of the Guangdong – Hong Kong – Macau Greater Bay Area / Qianyu Zhu // E3S Web of Conferences 165 02005 (2020) CAES 2020. – Bibliogr.: p. 7 (16 titles). – DOI 10.1051/e3sconf/202016502005.

4. Luis Farinha Regional Helix Ecosystems and Economic Growth / Luis Farinha, Joao J. Ferreira, Marina Ranga, Domingos Santos // Springer Nature Switzerland AG 2020. – Bibliogr.: p. 8 (15 titles). – DOI 10.1007/978-3-030-47697-7_1., Luis Farinha Regional Helix Ecosystems and Economic Growth / Luis Farinha, Joao J. Ferreira, Marina Ranga, Domingos Santos // Springer Nature Switzerland AG 2020. – Bibliogr.: p. 8 (15 titles). – DOI 10.1007/978-3-030-47697-7_1.

5. Yanzhang Gu Innovation Ecosystem Rasearch: Emerging Trends and Future Research / Yanzhang Gu, Longying Hu, Hongjin Zhang, Chenxuan Hou // Sustainability 2021. – 13. – 11458. – Bibliogr.: 17-23 p. (123 titles). – DOI 10.3390/su132011458., Yanzhang Gu Innovation Ecosystem Rasearch: Emerging Trends and Future Research / Yanzhang Gu, Longying Hu, Hongjin Zhang, Chenxuan Hou // Sustainability 2021. – 13. – 11458. – Bibliogr.: 17-23 p. (123 titles). – DOI 10.3390/su132011458.