Papers in Evolutionary Economic Geography

May 21, 2024

# 24.16 Colocation of skill related suppliers – Revisiting coagglomeration using firm-to-firm network data

Filed under: 2024 — Tags: , , , — sgpetraliauunl @ 11:54 am

Sandor Juhasz, Zoltan Elekes, Virag Ilyes & Frank Neffke

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Abstract:

Strong local clusters help firms compete on global markets. One explanation for this is that firms benefit from locating close to their suppliers and customers. However, the emergence of global supply chains shows that physical proximity is not necessarily a prerequisite to successfully manage customer-supplier relations anymore. This raises the question when firms need to colocate in value chains and when they can coordinate over longer distances. We hypothesize that one important aspect is the extent to which supply chain partners exchange not just goods but also know-how. To test this, we build on an expanding literature that studies the drivers of industrial coagglomeration to analyze when supply chain connections lead firms to colocation. We exploit detailed micro-data for the Hungarian economy between 2015 and 2017, linking firm registries, employer-employee matched data and firm-to-firm transaction data from value-added tax records. This allows us to observe colocation, labor flows and value chain connec- tions at the level of firms, as well as construct aggregated coagglomeration patterns, skill relatedness and input-output connections between pairs of industries. We show that supply chains are more likely to support coagglomeration when the industries in- volved are also skill related. That is, input-output and labor market channels reinforce each other, but supplier connections only matter for colocation when industries have similar labor requirements, suggesting that they employ similar types of know-how. We corroborate this finding by analyzing the interactions between firms, showing that supplier relations are more geographically constrained between companies that operate in skill related industries.

June 13, 2022

# 22.10 Workplace Skills as Regional Capabilities: Relatedness, Complexity and Industrial Diversification of Regions

Duygu Buyukyazici, Leonardo Mazzoni, Massimo Riccaboni & Francesco Serti

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Abstract:

The literature reaches a unanimous agreement that industrial diversification is path-dependent because new industries build on preexisting capabilities of regions that are partly embodied and reflected in the skills of regions’ workforce. This paper explicitly accounts for regional capabilities as workforce skills to build skill relatedness and complexity measures, skill-spaces, for 107 Italian regions for the period 2013-2019. Data-driven techniques we use reveal that skill-spaces form two highly polarised clusters into social-cognitive and technical-physical skills. We show that industries have a higher (lower) probability of developing comparative advantage if their required skill set is (not) similar to those available in the region regardless of the skill type. We find evidence that similarity to technical-physical skills and higher complexity in social cognitive skills yields the highest probabilities of regional competitive advantage.

April 13, 2022

# 22.07 Workplace Skills as Regional Capabilities: Relatedness, Complexity and Industrial Diversification of Regions

Duygu Buyukyazici, Leonardo Mazzoni, Massimo Riccaboni & Francesco Serti

pdf

Abstract:

The literature reaches a unanimous agreement that industrial diversification is path-dependent because new industries build on preexisting capabilities of regions that are partly embodied and reflected in the skills of regions’ workforce. This paper explicitly accounts for regional capabilities as workforce skills to build skill relatedness and complexity measures, skill-spaces, for 107 Italian regions for the period 2013-2019. Data-driven techniques we use reveal that skill-spaces form two highly polarised clusters into social-cognitive and technical-physical skills. We show that industries have a higher (lower) probability of developing comparative advantage if their required skill set is (not) similar to those available in the region regardless of the skill type. We find evidence that similarity to technical-physical skills and higher complexity in social cognitive skills yields the highest probabilities of regional competitive advantage.

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