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Economic Analysis: Theory and Practice
 

Analyzing the indicators of development and distribution of high-tech products (the case of robotics and mobile devices)

Vol. 21, Iss. 10, OCTOBER 2022

Received: 7 July 2022

Received in revised form: 10 August 2022

Accepted: 20 August 2022

Available online: 27 October 2022

Subject Heading: MATHEMATICAL METHODS AND MODELS

JEL Classification: C53, O14, O31, O33

Pages: 1951–1978

https://doi.org/10.24891/ea.21.10.1951

Aleksandr E. VARSHAVSKII Central Economics and Mathematics Institute of Russian Academy of Sciences (CEMI RAS), Moscow, Russian Federation
varshav@cemi.rssi.ru

https://orcid.org/0000-0001-8229-3692

Tat'yana A. KOMKINA Central Economics and Mathematics Institute of Russian Academy of Sciences (CEMI RAS), Moscow, Russian Federation
tania_kom@mail.ru

https://orcid.org/0000-0002-9328-0712

Ekaterina V. KOCHETKOVA Central Economics and Mathematics Institute of Russian Academy of Sciences (CEMI RAS), Moscow, Russian Federation
k.v.kochetkova@gmail.com

https://orcid.org/0000-0001-9058-2128

Marina G. DUBININA Central Economics and Mathematics Institute of Russian Academy of Sciences (CEMI RAS), Moscow, Russian Federation
mgdub@yandex.ru

https://orcid.org/0000-0002-4578-668X

Viktoriya V. DUBININA Central Economics and Mathematics Institute of Russian Academy of Sciences (CEMI RAS), Moscow, Russian Federation
Viktoria@li.ru

https://orcid.org/0000-0002-2785-1599

Mariya S. KUZNETSOVA Central Economics and Mathematics Institute of Russian Academy of Sciences (CEMI RAS), Moscow, Russian Federation
mary.cuznetsow2012@yandex.ru

https://orcid.org/0000-0003-0982-608X

Subject. The article discusses a methodology for analysis of development and distribution of high-tech products.
Objectives. The aim is to elaborate methods and models to analyze and predict the development of high-tech products on the case of robotics and mobile devices.
Methods. We offered methods of analyzing the dynamics of technical indicators, developed models of price dependence on absolute and relative technical indicators by generation. For certain types of high-tech products, we constructed price models for various stages of life cycle (initial stage, stages of growth, maturity and saturation), proposed models to identify the impact of socio-economic factors and to assess possible risks of using high-tech products.
Results. The paper offers a methodology and tools to analyze and predict indicators of development and distribution of high-tech products, presents modifications of logistic models that help forecast changes in technical and economic indicators in the short term. We constructed econometric models that consider socio-economic factors and risks affecting the speed of distribution and the scale of use of high-tech products, using the case of industrial and service robotics, mobile devices. The study unveils positive correlation of price and complex indicator of technical complexity of the considered types of high-tech products.
Conclusions. The paper demonstrates that the developed models and methods enable to forecast the dynamics of technical and economic indicators, distribution in the market, and to assess potential risks of usage.

Keywords: technical and economic indicator, generation, modeling, patent analysis, high-tech product

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