A stochastic generative model of the World Trade Network

García-Algarra, Javier; López, Mary Luz Mouronte; Galeano, Javier

doi:10.1038/s41598-019-54979-1

Cited by 9 publications

(6 citation statements)

References 38 publications

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“… 30. Garcia-Algarra et al (2019) also find substantial support for preferential attachment as a key mechanism for the development of the world trade system. …”

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confidence: 77%

“The persistent myth of lost hegemony,” revisited: structural power as a complex network phenomenon

Winecoff

2020

European Journal of International Relations

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This article resuscitates the idea of structural power in world politics by linking it to modern complex network science, presents a theoretical framework for understanding how global structures develop and change, and empirically analyzes the prominence of leading states within global finance, trade, security, and knowledge networks. It argues that the “fitness plus preferential attachment” (FPA) model of complex network evolution provides a logical explanation for the durability of American influence even as some of its advantages in country-level capabilities has eroded, and it introduces a network methodology that is capable of empirically analyzing the organizational complexity that exists within and across domains in world politics. It argues that the rise of China and other emerging powers has been overstated in some ways, but that a redistribution of structural prominence is taking place, in some domains, as emerging markets increase their transnational connections; this has mostly come at the relative expense of Europe, however, rather than the United States.

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“… 30. Garcia-Algarra et al (2019) also find substantial support for preferential attachment as a key mechanism for the development of the world trade system. …”

mentioning

confidence: 77%

“The persistent myth of lost hegemony,” revisited: structural power as a complex network phenomenon

Winecoff

2020

European Journal of International Relations

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“…We apply a soft mitigation strategy to deal with the heterogeneous data classification and sources over such a long span of time, and we filter the links that fall within the lower 0.1% of the trade distribution to avoid the strongly meshed condition [22]. We refer to the original paper for details [17].…”

Section: Methodsmentioning

confidence: 99%

“…Network models are a nice choice for trade among nations and so it is usual to refer to this system as the World Trade Network (WTN) [12][13][14][15][16]. e stochastic model developed in [17] produced synthetic networks with a high degree of adjustment to international trade flows from 1962 to 2017. Its generative mechanism suggests that inequality is a structural property of the network.…”

Section: Introductionmentioning

confidence: 99%

Reducing Trade Inequality: A Network-Based Assessment

2020

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International trade, the network that underpins globalization, shows an extreme inequality. Despite efforts of multilateral organizations to foster a more fair world through trade agreements, it is hard to assess the effect of these changes on such a complex system. We have measured, using numerical simulation on a recently published network model, the impact of simple policies to boost trade chances among the weakest economies. Results suggest that global inequality may be reduced improving trade among low-income economies.

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“…Complex networks were first applied to the study of international trade using directed networks [52]. More recently, some authors have represented the international market through a complex bipartite network [53,54].…”

Section: Complex Network Analysismentioning

confidence: 99%

Growing Inequality in the Coffee Global Value Chain: A Complex Network Assessment

et al. 2022

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Following the liberalization of the coffee sector, governance and power balance in the international coffee trade has changed, with associated impacts on livelihoods in producing countries, most of which are middle- and low-income countries. Drawing on trade data for the period 1995–2018, we examine the dynamics and evolution of the international green coffee market to shed light on the re-distribution of value in the coffee supply chain. Data analysis shows that, over the studied period, the green coffee trade has increased considerably while the number of countries with a relevant role in trade has decreased, so that large exporting countries cover a higher share of trade, to the detriment of small exporting countries. We analyzed various properties of the global coffee trade network to provide insight on the relative contribution of countries not only in terms of their export value but also in terms of other selected features. The green coffee trade has gone from being distributed in many traditionally coffee-producing countries to concentrating mainly on the major coffee producers, as well as in some non-producing countries. These changes in the structure of the international green coffee market have led to greater inequality between producing and importing countries.

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A stochastic generative model of the World Trade Network

Cited by 9 publications

References 38 publications

“The persistent myth of lost hegemony,” revisited: structural power as a complex network phenomenon

“The persistent myth of lost hegemony,” revisited: structural power as a complex network phenomenon

Reducing Trade Inequality: A Network-Based Assessment

Growing Inequality in the Coffee Global Value Chain: A Complex Network Assessment

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