Chinese Networks and Tariff Evasion

Vézina, Pierre‐Louis; Rotunno, Lorenzo

doi:10.1002/9781118512968.ch7

Cited by 11 publications

(12 citation statements)

References 25 publications

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“…Instead one can see gross mismatches: e.g. if the volume of Chinese textiles exported to Mexico and the USA is analysed – more textiles left China for Mexico than arrived there, but US imports of Mexican textiles exceeded Mexican exports to the USA by an amount suspiciously similar to the missing exports from China (Rotunno and Vézina ).…”

Section: Connecting Illicit Economies To Circulationmentioning

confidence: 99%

Illicit economies: customary illegality, moral economies and circulation

Gregson

Crang

2016

Trans Inst British Geog

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This paper is concerned with how to think the illicit and illegal as part of economies. Economic geography has only recently begun to address this challenge but in limited ways. The paper shows the difficulties with those approaches, chief among which is a reassertion of the legal/illegal binary of products and actors that is contested by the more open term illicit economies. We draw on work in cultural economy to move economic geography beyond this impasse by seeing economy as practice. The paper develops a conceptual account of illicit economies connecting moral economy and the opacities produced by logistically complex global trade to highlight the importance of customary illegality in doing business. Customary illegality is the tolerance or practice of illicit activities by largely legal economic actors rather than just a focus on illegal goods or criminal actors. Illicitness is thus shown to be neither a property of goods nor of particular economic actors, but rather a transient quality often linked to circulation. The argument is illustrated empirically through three examples drawn from the food sector. The conclusion makes suggestions for future research that are empirical, methodological and conceptual.

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Section: Connecting Illicit Economies To Circulationmentioning

confidence: 99%

Illicit economies: customary illegality, moral economies and circulation

Gregson

Crang

2016

Trans Inst British Geog

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“…4 The methodology forces the reported flow to be coherent when observed as import and as export. The resulting data is therefore not suited for the analysis of trade smuggling based on the information derived from the discrepancy between reported flows Wei, 2004, 2009;Javorcik and Narciso, 2008;Rotunno and Vézina, 2012). 5 In December 2012 there were 451 papers quoting the BACI-CEPII database in scholar.google.com.…”

Section: Introductionmentioning

confidence: 99%

Network Analysis of World Trade Using the BACI-CEPII Dataset

Benedictis

Nenci²,

Santoni³

et al. 2014

SSRN Journal

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HighlightsThis paper explores the World Trade using the Network Analysis and introduces the reader to some of the techniques used to visualize, calculate and synthetically represent network trade data. The paper shows different visualizations of the network and describe its topological properties, producing and discussing some of the commonly used Network's statistics, and presenting some specific topics. All in all, this paper shows that Network Analysis is a useful tool to describe bilateral trade relations among countries when interdependence matters, and when trade relations are characterized by high dimensionality and strong heterogeneity. AbstractIn this paper we explore the BACI-CEPII database using Network Analysis. Starting from the visualization of the World Trade Network, we then define and describe the topology of the network, both in its binary version and in its weighted version, calculating and discussing some of the commonly used network's statistics. We finally discuss some specific topics that can be studied using Network Analysis and International Trade data, both at the aggregated and sectoral level. The analysis is done using multiple software (Stata, R, and Pajek). The scripts to replicate part of the analysis are included in the appendix, and can be used as an handson tutorial. Moreover,the World Trade Network local and global centrality measures, for the unweighted and the weighted version of the Network, calculated using the bilateral aggregate trade data for each country (178 in total) and each year (from 1995 to 2010,) can be downloaded from the CEPII webpage.JEL Classification: F10

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“…Similarly, Muller and Tai (2012) find that migrants substitute for weak institutions at both origin and destination (although the former effect is more accurately identified) and that migrants matter more for trade when underdeveloped legal environments prevail. In a slightly different vein, Rotunno and Vézina (2012) provide evidence of a link between Chinese ethnic networks and tariff evasion. They argue that networks are ideally placed to engineer tariff evasion since smuggling requires access to market information and high levels of trust.…”

Section: Mechanisms Governing the Trade-migration Nexusmentioning

confidence: 96%