scholarly journals World impact of kernel European Union 9 countries from Google matrix analysis of the world trade network

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Justin Loye ◽  
Leonardo Ermann ◽  
Dima L. Shepelyansky
Keyword(s):  
European Union ◽  
Network Analysis ◽  
United Nations ◽  
World Trade ◽  
Matrix Analysis ◽  
Recent Proposal ◽  
Trade Network ◽  
Google Matrix ◽  
The World ◽  
The United Nations

AbstractWe use the United Nations COMTRADE database for analysis of the multiproduct world trade network. With this data, considered for years 2012–2018, we determined the world trade impact of the Kernel of EU 9 countries (KEU9), being Austria, Belgium, France, Germany, Italy, Luxembourg, Netherlands, Portugal, Spain, considered as one united country. We apply the advanced Google matrix analysis for investigation of the influence of KEU9 and show that KEU9 takes the top trade network rank positions thus becoming the main player of the world trade being ahead of USA and China. Our network analysis provides additional mathematical grounds in favor of the recent proposal (Saint-Etienne in: Osons l’Europe des Nations. Editions de l’Observatoire/Humensis, Paris, 2018) of KEU9 super-union which is based only on historical, political and economy basis.

scholarly journals Post-Brexit Power of European Union From the World Trade Network Analysis

2021 ◽  
pp. 39-47
Author(s):  
Justin Loye ◽  
Katia Jaffrès-Runser ◽  
Dima L. Shepelyansky
Keyword(s):  
European Union ◽  
World Trade ◽  
Dominant Role ◽  
Matrix Analysis ◽  
The European Union ◽  
Trade Network ◽  
Google Matrix ◽  
The World ◽  
Leading Position

We develop the Google matrix analysis of the multiproduct world trade network obtained from the UN COMTRADE database in recent years. The comparison is done between this new approach and the usual Import-Export description of this world trade network. The Google matrix analysis takes into account the multiplicity of trade transactions thus highlighting in a better way the world influence of specific countries and products. It shows that after Brexit, the European Union of 27 countries has the leading position in the world trade network ranking, being ahead of USA and China. Our approach determines also a sensitivity of trade country balance to specific products showing the dominant role of machinery and mineral fuels in multiproduct exchanges. It also underlines the growing influence of Asian countries.

scholarly journals Crisis contagion in the world trade network

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Célestin Coquidé ◽  
José Lages ◽  
Dima L. Shepelyansky
Keyword(s):  
World Trade ◽  
Trade Balance ◽  
Matrix Analysis ◽  
Western World ◽  
Asian Countries ◽  
Trade Network ◽  
Global Crisis ◽  
Google Matrix ◽  
The World ◽  
Contagion Process

Abstract We present a model of worldwide crisis contagion based on the Google matrix analysis of the world trade network obtained from the UN Comtrade database. The fraction of bankrupted countries exhibits an on-off phase transition governed by a bankruptcy threshold κ related to the trade balance of the countries. For κ>κc, the contagion is circumscribed to less than 10% of the countries, whereas, for κ<κc, the crisis is global with about 90% of the countries going to bankruptcy. We measure the total cost of the crisis during the contagion process. In addition to providing contagion scenarios, our model allows to probe the structural trading dependencies between countries. For different networks extracted from the world trade exchanges of the last two decades, the global crisis comes from the Western world. In particular, the source of the global crisis is systematically the Old Continent and The Americas (mainly US and Mexico). Besides the economy of Australia, those of Asian countries, such as China, India, Indonesia, Malaysia and Thailand, are the last to fall during the contagion. Also, the four BRIC are among the most robust countries to the world trade crisis.

CZY ZALEWA NAS FALA PRZEMOCY? POLITYCY I MEDIA VS. DANE STATYSTYCZNE

2014 ◽  
Vol 3 (3) ◽  
Author(s):  
Katarzyna Hamer ◽  
Hanna Hamet
Keyword(s):  
European Union ◽  
United Nations ◽  
Psychological Mechanisms ◽  
Police Data ◽  
Sense Of Security ◽  
The World ◽  
The United Nations ◽  
Drugs And Crime

By detailed analyses of Polish and world statistics, the authors search for the answer if in fact,as some politicians and citizens claim, the world and in particular European Union and Polandare overcome by the wave of violence. Data gathered, among others, by Polish Public OpinionResearch Center (CBOS), Eurostat and United Nations Office on Drugs and Crime (UNOCD), aswell as anthropologists and police, clearly prove the opposite. Scientific comparisons concerningviolence over the centuries show that its scale drastically decreased and the world gets saferwith time. Statistical reports of the United Nations especially clearly indicate European Union(including Poland) as particularly peaceful region against the rest of the world, having the lowestmurder rates. Eurostat data confirm these results, also showing decrease in other crimes overthe years. Polish police data similarly prove existence of this trend and CBOS indicates thatit is reflected in increasing sense of security among Poles. In the second part of the article theauthors explain potential reasons for using such false slogans as “increasing wave of violence” bypoliticians and raising fear in voters as well as psychological mechanisms responsible for theirpotential effectiveness.

scholarly journals Google matrix analysis of the multiproduct world trade network

2015 ◽  
Vol 88 (4) ◽  
Author(s):  
Leonardo Ermann ◽  
Dima L. Shepelyansky
Keyword(s):  
World Trade ◽  
Matrix Analysis ◽  
Trade Network ◽  
Google Matrix

scholarly journals Network Analysis of World Trade using the BACI-CEPII Dataset

2014 ◽  
Vol 14 (03n04) ◽  
pp. 287-343 ◽  
Author(s):  
Luca De Benedictis ◽  
Silvia Nenci ◽  
Gianluca Santoni ◽  
Lucia Tajoli ◽  
Claudio Vicarelli
Keyword(s):  
International Trade ◽  
Network Analysis ◽  
World Trade ◽  
Centrality Measures ◽  
Trade Network ◽  
Weighted Version ◽  
Trade Data ◽  
Hands On ◽  
The World

In this paper we explore the BACI-CEPII database using Network Analysis. From the visualization of the World Trade Network, we define and describe its topology, both in its binary version and in its weighted version, by calculating and discussing a number of the commonly used network statistics. We finally discuss various specific topics that can be studied with Network Analysis and International Trade data, both at the aggregated and at the sectorial level. The analysis is carried out with multiple software (Stata, R and Pajek). The scripts to replicate part of the analysis are included in the appendix and can be used as a hands-on tutorial. Moreover, local and global centrality measures, based on the unweighted and the weighted version of the aggregated World Trade Network, have been calculated for each country (178 in total) and each year (from 1995 to 2010) and can be downloaded from the CEPII webpage.

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