International automotive production networks: how the web comes together

Blázquez, Leticia; González‐Díaz, Belén

doi:10.1007/s11403-015-0144-x

“…The data shows the geographical unevenness of Toyota's (or Toyota's suppliers') product procurement. These findings are consistent with the extensive research into the geography of the global car industry, which has emphasized the complex patterns of international sourcing arising due to the balancing of 'centrifugal' and 'centripetal' forces: "…a rich and roiling stew of causation and outcome" (Sturgeon et al 2008, Blázquez andGonzález-Díaz 2013), making simple interpretations implausible.…”

Section: Suppliers' Geographical Distributionsupporting

confidence: 80%

The Structure of the Toyota Supply Network: An Empirical Analysis

Kito

¹

,

Brintrup

²

,

New³

et al. 2014

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“…For a more systematic sectoral network analysis see DeBenedictis and Tajoli (2010) andBarigozzi, Fagiolo and Garlaschelli (2010), where the structure of the sectoral network and its topological properties are related to the complexity of the good traded internationally. Some network analyses of specific sectors areAmighini and Gorgoni (2013) andBlázquez and González-D´ıaz (2012) on the automotive sector, Akerman and Larsson (2010) on arms trade, Beretta, Maggioni, Uberti and Beretta (2013) on miscellaneous goods.…”

mentioning

confidence: 99%

Network Analysis of World Trade using the BACI-CEPII Dataset

Benedictis

¹

,

Nenci

²

,

Santoni

³

et al. 2014

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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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“…For a more systematic sectoral network analysis see DeBenedictis and Tajoli (2010) andBarigozzi, Fagiolo and Garlaschelli (2010), where the structure of the sectoral network and its topological properties are related to the complexity of the good traded internationally. Some network analyses of specific sectors areAmighini and Gorgoni (2013) andBlázquez and González-Díaz (2012) on the automotive sector, Akerman and Larsson (2010) on arms trade, Beretta, Maggioni, Uberti and Beretta (2013) on miscellaneous goods.…”

mentioning

confidence: 99%

Network Analysis of World Trade Using the BACI-CEPII Dataset

Benedictis

¹

,

Nenci²,

Santoni³

et al. 2014

View full text Add to dashboard Cite

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

show abstract

International automotive production networks: how the web comes together

Cited by 16 publications

References 37 publications

The Structure of the Toyota Supply Network: An Empirical Analysis

The Structure of the Toyota Supply Network: An Empirical Analysis

Network Analysis of World Trade using the BACI-CEPII Dataset

Network Analysis of World Trade Using the BACI-CEPII Dataset

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