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JOURNALS // Computer Research and Modeling // Archive

Computer Research and Modeling, 2021 Volume 13, Issue 4, Pages 859–873 (Mi crm921)

This article is cited in 4 papers

MODELS OF ECONOMIC AND SOCIAL SYSTEMS

Modernization as a global process: the experience of mathematical modeling

S. Yu. Malkova, O. I. Davydovab

a Center for Long-Term Forecasting and strategic planning of Moscow State University, 1 Leninskie gory st., Moscow, 119991, Russia
b iDeņide Consulting LLC, office 32, 6b Kalinina st., Korolev, 141070, Russia

Abstract: The article analyzes empirical data on the long-term demographic and economic dynamics of the countries of the world for the period from the beginning of the 19th century to the present. Population and GDP of a number of countries of the world for the period 1500–2016 were selected as indicators characterizing the long-term demographic and economic dynamics of the countries of the world. Countries were chosen in such a way that they included representatives with different levels of development (developed and developing countries), as well as countries from different regions of the world (North America, South America, Europe, Asia, Africa). A specially developed mathematical model was used for modeling and data processing. The presented model is an autonomous system of differential equations that describes the processes of socio-economic modernization, including the process of transition from an agrarian society to an industrial and post-industrial one. The model contains the idea that the process of modernization begins with the emergence of an innovative sector in a traditional society, developing on the basis of new technologies. The population is gradually moving from the traditional sector to the innovation sector. Modernization is completed when most of the population moves to the innovation sector.
Statistical methods of data processing and Big Data methods, including hierarchical clustering were used. Using the developed algorithm based on the random descent method, the parameters of the model were identified and verified on the basis of empirical series, and the model was tested using statistical data reflecting the changes observed in developed and developing countries during the period of modernization taking place over the past centuries. Testing the model has demonstrated its high quality — the deviations of the calculated curves from statistical data are usually small and occur during periods of wars and economic crises. Thus, the analysis of statistical data on the long-term demographic and economic dynamics of the countries of the world made it possible to determine general patterns and formalize them in the form of a mathematical model. The model will be used to forecast demographic and economic dynamics in different countries of the world.

Keywords: modernization, countries of the world, long-term demographic and economic dynamics, mathematical modeling.

UDC: 51-77

Received: 15.02.2021
Revised: 23.06.2021
Accepted: 30.06.2021

DOI: 10.20537/2076-7633-2021-13-4-859-873



© Steklov Math. Inst. of RAS, 2024