Cluster Space Among Labor Productivity, Urbanization, and Agglomeration of Industries in Hungary

Devesh Singh ()
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Devesh Singh: Kaposvar University

Journal of the Knowledge Economy, 2022, vol. 13, issue 2, No 9, 1008-1027

Abstract: Abstract Do labor productivity, industrial agglomeration, and urbanization coexist in cluster space? To examine this question, we used multiple methodologies. Density-based cluster mapping is used to create the cluster space, simultaneous equation in each cluster to verify the co-existence of agglomeration, LP, and urbanization and, Kohonen self-organizing maps to insightful analyses of these clusters. This article used 18-year county-based data from 2001 to 2018 and analyzes the cluster space in Hungary. Three things emerge out from this study: first, there are seven clusters in space; second, in all seven cluster agglomeration, LP, and urbanization are significantly co-exist and there is bidirectional causality among them; and third, Hungarian manufacturing regions can be classified into two phases of clusters. The manufacturing industrial structure in Hungary is group-specific where one group is in a declining phase and another is in the reindustrialization phase.

Keywords: Simultaneous equation; Cluster density; Self-organized map; Neural networks; Agglomeration; Labor productivity; Urbanization; Industrial space (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s13132-021-00726-9

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