The structure of European development Community detection in - PowerPoint PPT Presentation

Introduction Methodology Community Detection Labour and Subsystems From IO to Countries From Trade to Commodities The structure of European development — Community detection in inter-industry and external trade networks Nadia Garbellini Ariel Luis Wirkierman Universit` a degli Studi di Pavia ( nadia.garbellini@unipv.it ) Universit` a Cattolica, Milano ( ariwirkierman@gmail.com ) April 25, 2012 Final WIOD Conference: Causes and Consequences of Globalization Groningen (The Netherlands), April 24-26, 2012

Introduction Methodology Community Detection Labour and Subsystems From IO to Countries From Trade to Commodities Motivation and Objective: Community detection in networks: Clustering of industries and countries in inter-industry and trade matrices Cluster-based analysis and policy in EU: European Cluster Observatory Operational definition, identification and measurement of industry ‘clusters’ in EU regions (EC 2008) Method: ‘locational employment correlation coefficients’ between industry couples across regions, grouping activities nearly always geographically associated A uniform clustering template is ‘imposed’ on regional data Objective: Clustering methodology for I-O/Trade networks Data mining on national and EU27/EMU Input-Output networks: country-specific industry composition of clusters, measure (dis-)similarity between clustering structures Data mining on intra-EU external commodity-specific trade networks: patterns of persistent EU trade partners

Introduction Methodology Community Detection Labour and Subsystems From IO to Countries From Trade to Commodities Motivation and Objective: Community detection in networks: Clustering of industries and countries in inter-industry and trade matrices Cluster-based analysis and policy in EU: European Cluster Observatory Operational definition, identification and measurement of industry ‘clusters’ in EU regions (EC 2008) Method: ‘locational employment correlation coefficients’ between industry couples across regions, grouping activities nearly always geographically associated A uniform clustering template is ‘imposed’ on regional data Objective: Clustering methodology for I-O/Trade networks Data mining on national and EU27/EMU Input-Output networks: country-specific industry composition of clusters, measure (dis-)similarity between clustering structures Data mining on intra-EU external commodity-specific trade networks: patterns of persistent EU trade partners

Introduction Methodology Community Detection Labour and Subsystems From IO to Countries From Trade to Commodities Motivation and Objective: Community detection in networks: Clustering of industries and countries in inter-industry and trade matrices Cluster-based analysis and policy in EU: European Cluster Observatory Operational definition, identification and measurement of industry ‘clusters’ in EU regions (EC 2008) Method: ‘locational employment correlation coefficients’ between industry couples across regions, grouping activities nearly always geographically associated A uniform clustering template is ‘imposed’ on regional data Objective: Clustering methodology for I-O/Trade networks Data mining on national and EU27/EMU Input-Output networks: country-specific industry composition of clusters, measure (dis-)similarity between clustering structures Data mining on intra-EU external commodity-specific trade networks: patterns of persistent EU trade partners

Introduction Methodology Community Detection Labour and Subsystems From IO to Countries From Trade to Commodities Motivation and Objective: Community detection in networks: Clustering of industries and countries in inter-industry and trade matrices Cluster-based analysis and policy in EU: European Cluster Observatory Operational definition, identification and measurement of industry ‘clusters’ in EU regions (EC 2008) Method: ‘locational employment correlation coefficients’ between industry couples across regions, grouping activities nearly always geographically associated A uniform clustering template is ‘imposed’ on regional data Objective: Clustering methodology for I-O/Trade networks Data mining on national and EU27/EMU Input-Output networks: country-specific industry composition of clusters, measure (dis-)similarity between clustering structures Data mining on intra-EU external commodity-specific trade networks: patterns of persistent EU trade partners

Introduction Methodology Community Detection Labour and Subsystems From IO to Countries From Trade to Commodities Motivation and Objective: Community detection in networks: Clustering of industries and countries in inter-industry and trade matrices Cluster-based analysis and policy in EU: European Cluster Observatory Operational definition, identification and measurement of industry ‘clusters’ in EU regions (EC 2008) Method: ‘locational employment correlation coefficients’ between industry couples across regions, grouping activities nearly always geographically associated A uniform clustering template is ‘imposed’ on regional data Objective: Clustering methodology for I-O/Trade networks Data mining on national and EU27/EMU Input-Output networks: country-specific industry composition of clusters, measure (dis-)similarity between clustering structures Data mining on intra-EU external commodity-specific trade networks: patterns of persistent EU trade partners

Introduction Methodology Community Detection Labour and Subsystems From IO to Countries From Trade to Commodities Motivation and Objective: Community detection in networks: Clustering of industries and countries in inter-industry and trade matrices Cluster-based analysis and policy in EU: European Cluster Observatory Operational definition, identification and measurement of industry ‘clusters’ in EU regions (EC 2008) Method: ‘locational employment correlation coefficients’ between industry couples across regions, grouping activities nearly always geographically associated A uniform clustering template is ‘imposed’ on regional data Objective: Clustering methodology for I-O/Trade networks Data mining on national and EU27/EMU Input-Output networks: country-specific industry composition of clusters, measure (dis-)similarity between clustering structures Data mining on intra-EU external commodity-specific trade networks: patterns of persistent EU trade partners

Introduction Methodology Community Detection Labour and Subsystems From IO to Countries From Trade to Commodities Motivation and Objective: Community detection in networks: Clustering of industries and countries in inter-industry and trade matrices Cluster-based analysis and policy in EU: European Cluster Observatory Operational definition, identification and measurement of industry ‘clusters’ in EU regions (EC 2008) Method: ‘locational employment correlation coefficients’ between industry couples across regions, grouping activities nearly always geographically associated A uniform clustering template is ‘imposed’ on regional data Objective: Clustering methodology for I-O/Trade networks Data mining on national and EU27/EMU Input-Output networks: country-specific industry composition of clusters, measure (dis-)similarity between clustering structures Data mining on intra-EU external commodity-specific trade networks: patterns of persistent EU trade partners

Introduction Methodology Community Detection Labour and Subsystems From IO to Countries From Trade to Commodities Motivation and Objective: Community detection in networks: Clustering of industries and countries in inter-industry and trade matrices Cluster-based analysis and policy in EU: European Cluster Observatory Operational definition, identification and measurement of industry ‘clusters’ in EU regions (EC 2008) Method: ‘locational employment correlation coefficients’ between industry couples across regions, grouping activities nearly always geographically associated A uniform clustering template is ‘imposed’ on regional data Objective: Clustering methodology for I-O/Trade networks Data mining on national and EU27/EMU Input-Output networks: country-specific industry composition of clusters, measure (dis-)similarity between clustering structures Data mining on intra-EU external commodity-specific trade networks: patterns of persistent EU trade partners

Introduction Methodology Community Detection Labour and Subsystems From IO to Countries From Trade to Commodities Motivation and Objective: Community detection in networks: Clustering of industries and countries in inter-industry and trade matrices Cluster-based analysis and policy in EU: European Cluster Observatory Operational definition, identification and measurement of industry ‘clusters’ in EU regions (EC 2008) Method: ‘locational employment correlation coefficients’ between industry couples across regions, grouping activities nearly always geographically associated A uniform clustering template is ‘imposed’ on regional data Objective: Clustering methodology for I-O/Trade networks Data mining on national and EU27/EMU Input-Output networks: country-specific industry composition of clusters, measure (dis-)similarity between clustering structures Data mining on intra-EU external commodity-specific trade networks: patterns of persistent EU trade partners