Statistical Classification of Products in the Sector of Information and Communication Technologies

The aim of the article is to study the principles of interaction of classifications and groupings in the process of statistical estimation of products of the sector of information and communication technologies. The main statistical classifications of products that function at the present stage at t...

Full description

Bibliographic Details
Main Author: Korepanov Oleksiy S.
Format: Article
Language:English
Published: PH "INZHEK" 2018-06-01
Series:Problemi Ekonomiki
Subjects:
Online Access:http://www.problecon.com/export_pdf/problems-of-economy-2018-2_0-pages-375_381.pdf
Description
Summary:The aim of the article is to study the principles of interaction of classifications and groupings in the process of statistical estimation of products of the sector of information and communication technologies. The main statistical classifications of products that function at the present stage at the international (world), multinational (European), and national levels are considered. The general principles on which the determination of ICT products is based are laid out. Changes in the determination and classifications of statistical information related to products of the ICT sector issued by WPIIS and harmonized with European and national classifications with the passage of time are analyzed. There given an example of statistical determination of ICT products according to the classification under the Harmonized Commodity Description and Coding System (HS) – HS 1996, HS 2002, HS 2007, HS 2012, HS 2017 and harmonization with the Central Product Classification – CPC Rev.2 and the Ukrainian Classification of Goods for Foreign Economic Activity – UCGFEA. The determination of the list of products in the ICT sector is realized as a result of generalization of the work carried out by international organizations (OECD, Eurostat, and UN) as well as unification of concepts and harmonization of methodologies at the international level.
ISSN:2222-0712
2311-1186