Analysis of the impact of network characteristics on the industry's value-added rate

Purpose – This study analyzed Korea's relations table through network analysis. In particular, among the centralities, eigenvector centrality, PageRank centrality and degree were used. The author studied which network characteristics affected the value-added rate. Design/methodology/approach –...

Full description

Bibliographic Details
Main Author: Jae-Whak Roh
Format: Article
Language:English
Published: Emerald Publishing 2023-12-01
Series:International Trade, Politics and Development
Subjects:
Online Access:https://www.emerald.com/insight/content/doi/10.1108/ITPD-08-2023-0021/full/pdf
_version_ 1797403143489716224
author Jae-Whak Roh
author_facet Jae-Whak Roh
author_sort Jae-Whak Roh
collection DOAJ
description Purpose – This study analyzed Korea's relations table through network analysis. In particular, among the centralities, eigenvector centrality, PageRank centrality and degree were used. The author studied which network characteristics affected the value-added rate. Design/methodology/approach – A network analysis method was used. Findings – It is the inward relationship that affects the value-added ratio of Korea's industries and the outward relationship has less influence. In particular, the inward relationship not only acts as a cost but also has an effect on the rate of added value recently. Research limitations/implications – Since the three years of 2010, 2015 and 2019 are the target, the data are somewhat insufficient to generalize. Practical implications – As for the value-added ratio of an industry, input is more important than output (sales). Therefore, where the input is received is very important. Social implications – It is possible to increase the understanding of the determinants of the value-added rate of Korean industries. Originality/value – (1) It was clarified which side is inward or outward in determining the industry in Korea. (2) The relationship between PageRank, eigenvector centrality and degree was analyzed in Korean cases. (3) Input is a cost and acts to increase added value.
first_indexed 2024-03-09T02:34:14Z
format Article
id doaj.art-2301643d12024d29ba3ab8c2ba0697f3
institution Directory Open Access Journal
issn 2586-3932
2632-122X
language English
last_indexed 2024-03-09T02:34:14Z
publishDate 2023-12-01
publisher Emerald Publishing
record_format Article
series International Trade, Politics and Development
spelling doaj.art-2301643d12024d29ba3ab8c2ba0697f32023-12-06T11:15:19ZengEmerald PublishingInternational Trade, Politics and Development2586-39322632-122X2023-12-017321422610.1108/ITPD-08-2023-0021Analysis of the impact of network characteristics on the industry's value-added rateJae-Whak Roh0Department of International Trade, Hansung University, Seoul, South KoreaPurpose – This study analyzed Korea's relations table through network analysis. In particular, among the centralities, eigenvector centrality, PageRank centrality and degree were used. The author studied which network characteristics affected the value-added rate. Design/methodology/approach – A network analysis method was used. Findings – It is the inward relationship that affects the value-added ratio of Korea's industries and the outward relationship has less influence. In particular, the inward relationship not only acts as a cost but also has an effect on the rate of added value recently. Research limitations/implications – Since the three years of 2010, 2015 and 2019 are the target, the data are somewhat insufficient to generalize. Practical implications – As for the value-added ratio of an industry, input is more important than output (sales). Therefore, where the input is received is very important. Social implications – It is possible to increase the understanding of the determinants of the value-added rate of Korean industries. Originality/value – (1) It was clarified which side is inward or outward in determining the industry in Korea. (2) The relationship between PageRank, eigenvector centrality and degree was analyzed in Korean cases. (3) Input is a cost and acts to increase added value.https://www.emerald.com/insight/content/doi/10.1108/ITPD-08-2023-0021/full/pdfNetwork analysisPageRankEigenvectorIndustrial relation table
spellingShingle Jae-Whak Roh
Analysis of the impact of network characteristics on the industry's value-added rate
International Trade, Politics and Development
Network analysis
PageRank
Eigenvector
Industrial relation table
title Analysis of the impact of network characteristics on the industry's value-added rate
title_full Analysis of the impact of network characteristics on the industry's value-added rate
title_fullStr Analysis of the impact of network characteristics on the industry's value-added rate
title_full_unstemmed Analysis of the impact of network characteristics on the industry's value-added rate
title_short Analysis of the impact of network characteristics on the industry's value-added rate
title_sort analysis of the impact of network characteristics on the industry s value added rate
topic Network analysis
PageRank
Eigenvector
Industrial relation table
url https://www.emerald.com/insight/content/doi/10.1108/ITPD-08-2023-0021/full/pdf
work_keys_str_mv AT jaewhakroh analysisoftheimpactofnetworkcharacteristicsontheindustrysvalueaddedrate