Economic Hubs and the Domination of Inter-Regional Ties in World City Networks

TL;DR

The paper tackles how multinational firm ties shape world city networks by analyzing four-node motifs around economic hubs selected from the top-15 GDP countries. It uses owner-subsidiary data to construct undirected, unweighted city networks across four time points (2010, 2013, 2016, 2019) and classifies motifs into Inter-regional, Intra-regional, and Hybrid categories, identifying seven configurations. Across all hubs and periods, Inter-regional motifs dominate, with statistical significance confirmed by pairwise t-tests, highlighting the prominence of cross-regional connectivity in global urban economies. The findings illuminate how distant, cross-regional links underpin global economic expansion and regional integration, though the study is limited by motif size and single-city-per-country sampling, suggesting avenues for broader, multi-scale analyses.

Abstract

Cities are widely considered the lifeblood of a nations economy housing the bulk of industries, commercial and trade activities, and employment opportunities. Within this economic context, multinational corporations play an important role in this economic development of cities in particular, and subsequently the countries and regions they belong to, in general. As multinational companies are spread throughout the world by virtue of ownership-subsidiary relationship, these ties create complex inter-dependent networks of cities that shape and define socio-economic status, as well as macro-regional influences impacting the world economy. In this paper, we study these networks of cities formed as a result of ties between multinational firms. We analyze these networks using intra-regional, inter-regional and hybrid ties (conglomerate integration) as spatial motifs defined by geographic delineation of world's economic regions. We attempt to understand how global cities position themselves in spatial and economic geographies and how their ties promote regional integration along with global expansion for sustainable growth and economic development. We study these networks over four time periods from 2010 to 2019 and discover interesting trends and patterns. The most significant result is the domination of inter-regional motifs representing cross regional ties among cities rather than national and regional integration.

Figures (5)

• Figure 1: Construction of Networks of Cities using Owner-Subsidiary Data from World's Top 3000 Group of Companies. (Left) Groups of Companies and their geospatial distribution in three cities; nodes represent companies and the links represent owner-subsidiary connections (Right) Aggregated Inter-city links resulting in an unweighted and undirected network.
• Figure 2: Geographical sub-regions of the world as designated by United Nations Geoscheme.
• Figure 3: Methodology used to find motifs in networks of cities for economic hubs (cities) selected from top countries based on GDP.
• Figure 4: Various configurations of Inter-region, Intra-region and Mixed Distribution motifs detected in networks of cities using economic sub-regions of the world.
• Figure 5: World's Top Cities and the relative counts in terms of Inter-Region (first column), Hybrid Region (second column) and Intra-Region (third column) motifs. Color gradient indicates the comparative intensity where higher values are coded in dark blue and lower values are coded in white.