Foresight of Volga Federal District Innovation System Development using a Multi-Objective Genetic Algorithm
The application of simulation modeling in public administration is under study at the level of interregional interaction in specific federal districts. The main indicator for development success of a particular federal district is the natural growth of its population. For this purpose, a model...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universitas Indonesia
2020-12-01
|
| Series: | International Journal of Technology |
| Subjects: | |
| Online Access: | https://ijtech.eng.ui.ac.id/article/view/4432 |
| _version_ | 1797967746937389056 |
|---|---|
| author | Sergei Yashin Nadezhda Yashina Egor Koshelev Oksana Kashina Natalia Pronchatova-Rubtsova |
| author_facet | Sergei Yashin Nadezhda Yashina Egor Koshelev Oksana Kashina Natalia Pronchatova-Rubtsova |
| author_sort | Sergei Yashin |
| collection | DOAJ |
| description | The
application of simulation modeling in public administration is under study at
the level of interregional interaction in specific federal districts. The main
indicator for development success of a particular federal district is the
natural growth of its population. For this
purpose, a model of foresight of federal district innovation system development
based on the use of a multi-objective genetic algorithm was proposed. Stages of
this foresight included preparation of statistical data for clusters, obtaining
predictive functions for clusters and Pareto frontiers of predictive functions,
and planning synergy effects of clusters of regions and the entire federal
district. In this case, to increase the synergy effect of a federal district,
investment resources and research and development (R&D) costs were planted
to be redirected to those regions where economic and financial resources are
insufficient. This will eventually increase the average per capita income of
the population in the regions of the federal district, which will lead to
population growth in these regions. If R&D costs are redistributed, there
are also information and logistics interactions that confirm the practical
effectiveness of the open innovation model within the federal district. For the
Volga Federal District, this foresight resulted in its total positive reserve
for R&D in the amount of 8,412 million rubles. It should be forwarded to
the Samara Region. Then, the synergy effect of the whole Volga Federal District
will be equal to 429,344 million rubles.
|
| first_indexed | 2024-04-11T02:35:01Z |
| format | Article |
| id | doaj.art-d2d5a2fe28494e7fa0bd6f8c1107d0c8 |
| institution | Directory Open Access Journal |
| issn | 2086-9614 2087-2100 |
| language | English |
| last_indexed | 2024-04-11T02:35:01Z |
| publishDate | 2020-12-01 |
| publisher | Universitas Indonesia |
| record_format | Article |
| series | International Journal of Technology |
| spelling | doaj.art-d2d5a2fe28494e7fa0bd6f8c1107d0c82023-01-02T20:28:14ZengUniversitas IndonesiaInternational Journal of Technology2086-96142087-21002020-12-011161171118010.14716/ijtech.v11i6.44324432Foresight of Volga Federal District Innovation System Development using a Multi-Objective Genetic AlgorithmSergei Yashin0Nadezhda Yashina1Egor Koshelev2Oksana Kashina3Natalia Pronchatova-Rubtsova4Department of Management and Public Administration, The Institute of Economics and Entrepreneurship, Lobachevsky University, 23 Gagarin Ave, 603950, Nizhni Novgorod, RussiaDepartment of Finance and Credit, The Institute of Economics and Entrepreneurship, Lobachevsky University, 23 Gagarin Ave, 603950, Nizhni Novgorod, RussiaDepartment of Management and Public Administration, The Institute of Economics and Entrepreneurship, Lobachevsky University, 23 Gagarin Ave, 603950, Nizhni Novgorod, RussiaDepartment of Finance and Credit, The Institute of Economics and Entrepreneurship, Lobachevsky University, 23 Gagarin Ave, 603950, Nizhni Novgorod, RussiaDepartment of Finance and Credit, The Institute of Economics and Entrepreneurship, Lobachevsky University, 23 Gagarin Ave, 603950, Nizhni Novgorod, RussiaThe application of simulation modeling in public administration is under study at the level of interregional interaction in specific federal districts. The main indicator for development success of a particular federal district is the natural growth of its population. For this purpose, a model of foresight of federal district innovation system development based on the use of a multi-objective genetic algorithm was proposed. Stages of this foresight included preparation of statistical data for clusters, obtaining predictive functions for clusters and Pareto frontiers of predictive functions, and planning synergy effects of clusters of regions and the entire federal district. In this case, to increase the synergy effect of a federal district, investment resources and research and development (R&D) costs were planted to be redirected to those regions where economic and financial resources are insufficient. This will eventually increase the average per capita income of the population in the regions of the federal district, which will lead to population growth in these regions. If R&D costs are redistributed, there are also information and logistics interactions that confirm the practical effectiveness of the open innovation model within the federal district. For the Volga Federal District, this foresight resulted in its total positive reserve for R&D in the amount of 8,412 million rubles. It should be forwarded to the Samara Region. Then, the synergy effect of the whole Volga Federal District will be equal to 429,344 million rubles. https://ijtech.eng.ui.ac.id/article/view/4432foresightintercluster interactionmulti-objective genetic algorithmsimulation modeling |
| spellingShingle | Sergei Yashin Nadezhda Yashina Egor Koshelev Oksana Kashina Natalia Pronchatova-Rubtsova Foresight of Volga Federal District Innovation System Development using a Multi-Objective Genetic Algorithm International Journal of Technology foresight intercluster interaction multi-objective genetic algorithm simulation modeling |
| title | Foresight of Volga Federal District Innovation System Development using a Multi-Objective Genetic Algorithm |
| title_full | Foresight of Volga Federal District Innovation System Development using a Multi-Objective Genetic Algorithm |
| title_fullStr | Foresight of Volga Federal District Innovation System Development using a Multi-Objective Genetic Algorithm |
| title_full_unstemmed | Foresight of Volga Federal District Innovation System Development using a Multi-Objective Genetic Algorithm |
| title_short | Foresight of Volga Federal District Innovation System Development using a Multi-Objective Genetic Algorithm |
| title_sort | foresight of volga federal district innovation system development using a multi objective genetic algorithm |
| topic | foresight intercluster interaction multi-objective genetic algorithm simulation modeling |
| url | https://ijtech.eng.ui.ac.id/article/view/4432 |
| work_keys_str_mv | AT sergeiyashin foresightofvolgafederaldistrictinnovationsystemdevelopmentusingamultiobjectivegeneticalgorithm AT nadezhdayashina foresightofvolgafederaldistrictinnovationsystemdevelopmentusingamultiobjectivegeneticalgorithm AT egorkoshelev foresightofvolgafederaldistrictinnovationsystemdevelopmentusingamultiobjectivegeneticalgorithm AT oksanakashina foresightofvolgafederaldistrictinnovationsystemdevelopmentusingamultiobjectivegeneticalgorithm AT nataliapronchatovarubtsova foresightofvolgafederaldistrictinnovationsystemdevelopmentusingamultiobjectivegeneticalgorithm |