Competitive Conditions in Global Value Chain Networks: An Assessment Using Entropy and Network Analysis.

centralization competitive conditions complex networks degree entropy global value chain

Journal

Entropy (Basel, Switzerland)
ISSN: 1099-4300
Titre abrégé: Entropy (Basel)
Pays: Switzerland
ID NLM: 101243874

Informations de publication

Date de publication:
23 Sep 2020
Historique:
received: 18 08 2020
revised: 18 09 2020
accepted: 22 09 2020
entrez: 8 12 2020
pubmed: 9 12 2020
medline: 9 12 2020
Statut: epublish

Résumé

We investigated competitive conditions in global value chains (GVCs) for a period of fifteen years (2000-2014), focusing on sector structure, countries' dominance and diversification. For this purpose, we used data from the World Input-Output Database (WIOD) and examined GVCs as weighted directed networks, where countries are the nodes and value added flows are the edges. We compared the in-and out-weighted degree centralization of the sectoral GVC networks in order to detect the most centralized, on the import or export side, respectively (oligopsonies and oligopolies). Moreover, we examined the in- and out-weighted degree centrality and the in- and out-weight entropy in order to determine whether dominant countries are also diversified. The empirical results reveal that diversification (entropy) and dominance (degree) are not correlated. Dominant countries (rich) become more dominant (richer). Diversification is not conditioned by competitiveness.

Identifiants

pubmed: 33286837
pii: e22101068
doi: 10.3390/e22101068
pmc: PMC7597139
pii:
doi:

Types de publication

Journal Article

Langues

eng

Références

Science. 2009 Jul 24;325(5939):422-5
pubmed: 19628858
Appl Netw Sci. 2017;2(1):21
pubmed: 30443576
Proc Natl Acad Sci U S A. 2004 Mar 16;101(11):3747-52
pubmed: 15007165
Science. 1968 Jan 5;159(3810):56-63
pubmed: 5634379
PLoS One. 2015 Jul 29;10(7):e0134025
pubmed: 26222389

Auteurs

Georgios Angelidis (G)

School of Economics, Faculty of Economic and Political Sciences, Complex Systems Analysis Laboratory (COSAL), Laboratory of Economic Analysis and Policy (LEAP), Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece.

Evangelos Ioannidis (E)

School of Economics, Faculty of Economic and Political Sciences, Complex Systems Analysis Laboratory (COSAL), Laboratory of Economic Analysis and Policy (LEAP), Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece.

Georgios Makris (G)

School of Economics, Faculty of Economic and Political Sciences, Complex Systems Analysis Laboratory (COSAL), Laboratory of Economic Analysis and Policy (LEAP), Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece.

Ioannis Antoniou (I)

School of Economics, Faculty of Economic and Political Sciences, Complex Systems Analysis Laboratory (COSAL), Laboratory of Economic Analysis and Policy (LEAP), Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece.

Nikos Varsakelis (N)

School of Economics, Faculty of Economic and Political Sciences, Complex Systems Analysis Laboratory (COSAL), Laboratory of Economic Analysis and Policy (LEAP), Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece.

Classifications MeSH