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The Evolution Of The World Trade Web: A Weighted-Network Analysis

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The Evolution of the World Trade Web: A Weighted-Network Analysis Giorgio Fagiolo ([email protected]), Javier Reyes and Stefano Schiavo Additional contact information SciencePo Working papers Main from HAL Abstract: This paper employs a weighted network approach to study the empirical properties of the web of trade relationships among

Persistence probabilities of the World Trade Web (WTW; 1962–2008) and ...

This paper empirically studies the statistical properties of the world trade web (WTW) and its evolution over time using a weighted network approach. Previous works have characterized the WTW as a binary network, where countries play the role of nodes and a link is in place between any two countries if there exists a sufficiently This paper studies the topological properties of the World Trade Web (WTW) and its evolution over time by employing a weighted-network analysis. We show that the WTW, viewed as a weighted network, displays statistical features that are very different from those obtained by using a traditional binary-network approach.

The International Trade Network

This paper studies the topological properties of the World Trade Web (WTW) and its evolution over time by employing a weighted network analysis. We show that the WTW, viewed as a weighted network, displays statistical features that are very different from those obtained by using a traditional binary-network approach. In particular, we find that: (i) the majority of existing links This paper employs a weighted network approach to study the empirical properties of the web of trade relationships among world countries, and its evolution over time. We show that most countries are characterized by weak trade links; yet, there

Bilateral trade relationships in the international level between pairs of countries in the world give rise to the notion of the International Trade Network (ITN). This network has attracted the attention of network researchers as it serves as an excellent example of the weighted networks, the link weight being defined as a measure of the volume of trade between two countries. In this paper This paper employs a weighted network approach to study the empirical properties of the web of trade relationships among world countries, and its evolution over time. We show that most countries

This paper employs a weighted network approach to study the empirical properties of the web of trade relationships among world countries, and its evolution over time.

Analysis based on the perspective of complex networks is therefore more conducive to understanding the characteristics of international trade networks (ITNs) and revealing their evolutionary laws. Previous statistical studies of the characteristics of ITNs, also often called the world trade web (WTW), have made a series of important

  • The Evolution of the World Trade Web : A Weighted-Network Analysis
  • The International Trade Network
  • Structure and evolution of the world trade network

Request PDF | On the Topological Properties of the World Trade Web: A Weighted Network Analysis | This paper provides a survey on studies that analyze the macroeconomic effects of intellectual Abstract Networks, World trade web, International trade , Weighted network analysis, Integration, Globalization, F10, D85, This paper studies the topological properties of the World Trade Web (WTW) and its evolution over time by employing a weighted network analysis. We show that the WTW, viewed as a weighted network, displays statistical

This paper studies the topological properties of the World Trade Web (WTW) and its evolution over time by employing a weighted-network analysis. We show that the WTW, viewed as a weighted network, displays statistical features that are very different from those obtained by using a traditional binary-network approach.

This paper employs a weighted network approach to study the empirical properties of the web of trade relationships among world countries, and its evolution over time. We show that most countries are characterized by weak trade links; yet, there exists a group of countries featuring a large number of strong relationships, thus hinting to a core-periphery structure. Also, better

This paper studies the topological properties of the World Trade Web (WTW) and its evolution over time by employing a weighted network analysis. We show that the WTW, viewed as a weighted network, displays statistical features that are very different from those obtained by using a traditional binary-network approach. In particular, we find that: (i) the majority of existing links This paper employs a weighted network approach to study the empirical properties of the web of trade relationships among world countries, and its evolution over time. We show that most countries are characterized by weak trade links; yet, there exists a group of countries featuring a large number of Abstract This paper studies the topological properties of the World Trade Web (WTW) and its evolution over time by employing a weighted-network analysis. We show that the WTW, viewed as a weighted network, displays statistical features that are very different from those obtained by using a traditional binary-network approach.

The World Trade Web (WTW), the network defined by the international import/export trade relationships, has been recently shown to display some important topological properties which are tightly related to the Gross Domestic Product of world countries. While our previous analysis focused on the static, undirected version of the WTW, here we address its A complex-network analysis, by characterizing in detail the topological structure of the network as a single entity, can go far beyond the scope of standard international-trade indicators, which instead only account for bilateral-trade direct linkages seen as country-specific characteristics

A common issue in trade network analysis is missing data, as some countries do not report trade flows. This paper explores what constitutes suitable data, how to deal with missing data, and demonstrates the results using key network measures. All-to-all potential connectivity of trade between countries is considered as a starting point, in contrast to the

However, predictions of the available null-model methods can be derived analytically only under assumptions (e.g., sparseness of the network) that are unrealistic for most economic networks like the world trade web (WTW). In this paper we study the evolution of the WTW using a recently-proposed family of null network models. This paper employs a weighted network approach to study the empirical properties of the web of trade relationships among world countries, and its evolution over time. We show that most countries are characterized by weak trade links; yet, there exists a group of countries featuring a large number of strong relationships, thus hinting to a core-periphery structure. Also, better

Abstract: This paper employs a weighted network analysis to study the empirical properties of the world trade web and their evolution over time. We show that most countries are characterized by weak trade links; yet, there exists a group of countries featuring a large number of strong relationships, thus hinting to a core-periphery structure. Abstract This paper employs a weighted network approach to study the empirical properties of the web of trade relationships among world countries, and its evolution over time. The World Trade Web (WTW), the network defined by the international import/export trade relationships, has been recently shown to display some important topological properties which are tightly

摘要： This paper studies the topological properties of the World Trade Web (WTW) and its evolution over time by employing a weighted-network analysis. We show that the WTW, viewed as a weighted network, displays statistical features that are very different from those obtained by using a traditional binary-network approach. How has it changed due to these shocks? Inspired by the advantages of the network method and using the most extensive coverage data in terms of time and geography, we explore the structure of international trade by presenting a comprehensive analysis of the World Trade Network (WTN) from several angles. This paper uses tools of network analysis to examine the evolution of value-added trade from 1995 to 2011. GVCs are very centralised and asymmetric networks, with a few large economies acting as hubs, which exposes them to the propagation of idiosyncratic shocks.

In recent years, the global trade landscape has undergone significant changes, particularly in the aftermath of the 2008 financial crisis and more recently as a consequence of Covid-19 pandemic. To understand the structure of international trade and the impact of these changes, this study applies a combination of network analysis and causal inference techniques

Unimpeded trade is one of the cooperation priorities in the Belt and Road Initiative proposed by China. On 15 May 2017, the Joint Communique of the Leaders Roundtable of the Belt and Road Forum for International Cooperation reaffirmed the participants’ shared commitment to build an open economy and ensure free and inclusive trade. The Belt and Road

Downloadable (with restrictions)! Author (s): Giorgio Fagiolo & Javier Reyes & Stefano Schiavo. 2010 Abstract: This paper employs a weighted network approach to study the empirical properties of the web of trade relationships among world countries, and its evolution over time. We show that most countries are characterized by weak trade links; yet, there exists a group of countries