Analyzing the indicators of development and distribution of high-tech products (the case of robotics and mobile devices)-Reference-Cited by-同舟云学术

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

Published:2022-10-27 Issue:10 Volume:21 Page:1651-1978
ISSN:2073-039X
Container-title:Economic Analysis: Theory and Practice
language:
Short-container-title:EATP

Author:

VARSHAVSKII Aleksandr E.¹^ORCID,KOMKINA Tat'yana A.¹^ORCID,KOCHETKOVA Ekaterina V.¹^ORCID,DUBININA Marina G.¹^ORCID,DUBININA Viktoriya V.¹^ORCID,KUZNETSOVA Mariya S.¹^ORCID

Affiliation:

1. Central Economics and Mathematics Institute of Russian Academy of Sciences (CEMI RAS)

Abstract

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.

Funder

Russian Foundation for Basic Research

Publisher

Publishing House Finance and Credit

Subject

Automotive Engineering

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