Experience in agent-based modeling of interregional value chains

Автор: Lukin Evgenii V., Anosova Tatyana S., Melnikov Aleksei E., Sidorov Maksim A.

Журнал: Economic and Social Changes: Facts, Trends, Forecast @volnc-esc-en

Рубрика: Modeling and forecast of socio-economic processes

Статья в выпуске: 6 т.13, 2020 года.

Бесплатный доступ

Solving the problem of implementing powerful socio-economic breakthrough in Russia requires the formulation and implementation of the latest practices for the development of the corporate sector, civil society, and state institutions. In theory, these practices should be the product of some innovative activity in the management sphere. However, world experience shows that initiatives correlating with the current development paradigm and are its logical continuation can provide no less effective results. In particular, we are talking about the Russian policy of industrial diversification and import substitution. The country is definitely making progress in these areas, but it is too early to talk about confident results. Meanwhile, a reasonable and, most important solution of the issue, which is not contrary to the interests of the elite, has been in the focus of the scientific community for several years, this is the value chains. Handled properly, they can act as a driver for the development of territories, business, and the social sphere. The purpose of the research is the formulation and testing the tools for value chains modeling. In turn, the novelty of the tools lies in the possibility of taking into account the interregional factor of interaction and the availability of functionality for the implementation of variable calculations of the developing phenomena in the economy. The model peculiarity is provided by the synthesis of methods of intersectoral balance and agent-based modeling which, according to other research teams, provides greater accuracy and realism of modeling. In the course of the study, the authors analyze domestic and foreign experience in designing value chains, and present their characteristics in the regional context. The researchers represent a consequence assessment associated with stimulating consumer demand and the expected effect that can be caused by the value chains value chains development.

Еще

Value chains, interregional interaction, agent-based modeling, tables

Короткий адрес: https://sciup.org/147225498

IDR: 147225498   |   DOI: 10.15838/esc.2020.6.72.6

Список литературы Experience in agent-based modeling of interregional value chains

  • Kaplinsky R. Globalisation and unequalisation: What can be learned from value chain analysis? Journal of Development Studies, 2000, vol. 37 (2), pp. 117–146. DOI: 10.1080/713600071
  • Lukin E.V. Sectoral and territorial specifics of value-added chains in Russia: the input-output approach. Ekonomicheskie i sotsial’nye peremeny: fakty, tendentsii, prognoz=Economic and Social Changes: Facts, Trends, Forecast, 2019, vol. 12, no. 6, pp. 129–149. DOI: 10.15838/esc.2019.6.66.7 (in Russian).
  • Makarov V.L., Bakhtizin A.R. New tools in the social sciences – agent-oriented models: General description and specific examples. Ekonomika i upravlenie=Economics and Management, 2009, no. 12 (50), pp. 13–25 (in Russian).
  • Makarov V.L., Bakhtizin A.R., Sushko E.D., Vasenin V.A., Borisov V.A., Roganov V.A. Supercomputer technologies in social sciences: Agent-oriented demographic models. Vestnik rossiiskoi akademii nauk=Herald of the Russian Academy of Sciences, 2016, vol. 86, no. 3, pp. 252–262 (in Russian).
  • Suslov V.I., Domozhirov D.A., Ibragimov N.M., Kostin V.S., Melnikova L.V., Tsyplakov A.A. Agent-based multiregional input-output model of the Russian economy. Ekonomika i matematicheskie metody=Economics and Mathematical Methods, 2016, vol. 52, no. 1, pp. 112–131 (in Russian).
  • Domozhirov D.A., Ibragimov N.M., Mel’nikova L.V., Tsyplakov A.A. Integration of input – output approach into agent-based modeling. Part 1. Methodological principles. Mir ekonomiki i upravleniya=World of Economics and Management, 2017, vol. 17, no. 1, pp. 86–99 (in Russian).
  • Domozhirov D.A., Ibragimov N.M., Melnikova L.V., Tsyplakov A.A. Integration of input – output approach into agent-based modeling. Part 2. Interregional analysis in an artificial economy. Mir ekonomiki i upravleniya=World of Economics and Management, 2017, vol. 17, no. 2, pp. 14–25 (in Russian).
  • Suslov V.I., Domozhirov D.A., Kostin V.S., Mel’nikova L.V., Ibragimov N.M., Tsyplakov A.A. Agent-based modeling of spatial processes in world economy. Region: ekonomika i sotsiologiya=Region: Economics and Sociology, 2014, no. 4 (84), pp. 32–54 (in Russian).
  • Fuller D.B., Filhoa V.J.M.F., de Arruda E.F. Oil industry value chain simulation with learning agents. Computers & Chemical Engineering, 2018, vol. 111, pp. 199–209. DOI: 10.1016/j.compchemeng.2018.01.008
  • Keramydas C., Aidonis D., Bechtsis D. Agent-based simulation for modeling supply chains: A comparative case study. International Journal of New Technology and Research (IJNTR), 2016, vol. 2 (10), pp. 36–39.
  • Handayati Y., Simatupang T.M., Perdana T. Value co-creation in agri-chains network: An agent-based simulation. Procedia Manufacturing, 2015, vol. 4, pp. 419–428.
  • Leonidova E.G. Stimulating final consumption within the reduction of regional inequality. Ekonomicheskie i sotsial’nye peremeny: fakty, tendentsii, prognoz=Economic and Social Changes: Facts, Trends, Forecast, 2020, vol. 13, no. 3, pp. 59–73. DOI: 10.15838/esc.2020.3.69.5 (in Russian).
  • Zemskova E.S., Koloskov D.A. Deformation of the structure of final consumption as an obstacle to economic growth (on the example of the Republic of Mordovia). Naukovedenie=The Eurasian Scientific Journal, 2017, no. 6. Available at: https://naukovedenie.ru/PDF/77EVN617.pdf (in Russian).
  • Mirolyubova T.V., Voronchikhina E.N. Reasons of the priorities of economic policy based on the structural analysis of gross regional product (in the case study of Perm Krai). Vestnik Permskogo universiteta. Ser. «Ekonomika»=Perm University Herald. Economy, 2017, vol. 12, no. 1, pp. 91–109. DOI: 10.17072/1994-9960-2017-1-91-109 (in Russian).
  • Rozhkovskaya E.A. Dynamics and structure of final consumption as a factor of economic growth. Ekonomicheskii byulleten’ NIEI Ministerstva ekonomiki Resp. Belarus’=Economic Bulletin of the Research Economic Institute of the Ministry of Economy of the Republic of Belarus, 2008, no. 1, pp. 4–18 (in Russian).
  • Ivanter V.V. Prospects for recovery of economic growth in Russia. Vestnik RAN=Herald of the Russian Academy of Sciences, 2017, no. 1, pp. 15–28. DOI: 10.7868/S0869587317010042 (in Russian).
  • De Andrade P.R., Monteiro A.M.V., Camara G. From input-output matrixes to agent-based models: A case study on carbon credits in a local economy. In: Proc. of the 2010 Second Brazilian Workshop on Social Simulation (BWSS’10). IEEE Computer Society. Washington, DC, USA, 2010. Pp. 58–65.
  • Oliva G., Panzieri S., Setola R. Agent-based input-output interdepency model. International Journal of Critical Infrastructure Protection, 2010, vol. 3 (2), pp. 77–82.
  • Lukin E.V., Uskova T.V. Structural transformation issues in regional economy. Ekonomicheskie i sotsial’nye peremeny: fakty, tendentsii, prognoz=Economic and Social Changes: Facts, Trends, Forecast, 2018, vol. 11, no. 6, pp. 26–40. DOI: 10.15838/esc.2018.6.60.2 (in Russian).
  • Uskova T.V., Lukin E.V., Vorontsova T.V., Smirnova T.G. Problemy ekonomicheskogo rosta territorii [Issues of economic growth in the territories]. Vologda: ISEDT RAS, 2013. 170 p.
Еще
Статья научная