Spatial Differentiation in Industrial Dynamics. The Case of the Netherlands (1994–2005)

Abstract

We compare the industrial dynamics in the core, semi-periphery and periphery in the Netherlands in terms of firm entry-exit, size, growth and location patterns. The contribution of our work is to provide the first comprehensive study on spatial differentiation in industrial dynamics for all firm sizes and all sectors, including services. We find that location patterns are largely consistent with the spatial product lifecycle model: traditional Fordist sectors are overrepresented in the periphery, while sectors associated with the ICT paradigm are overrepresented in the core, with the notable exception of science-based manufacturing. Second, where the industrial dynamics in manufacturing sectors follow the predicted patterns, the industrial dynamics in service sectors largely contradict product lifecycle theory. We conclude that the spatial product lifecycle theory applies well to traditional manufacturing, while more specific theories are required to understand the location and industrial dynamics of sciencebased industries and service industries.

Diversity of Regional Labour Markets in Poland

“…Still, localization economies, stemming from the spatial concentration of enterprises in exactly the same industry, would enhance process innovation as a specialized knowledge issue to optimize production processes in existing value chains. Such innovations spur labour productivity and do not necessarily lead to more jobs (Content and Frenken, 2016). The related variety thesis is thus consistent with the product lifecycle theory, which claims that young industries with high rates of product innovation create jobs in diverse urban areas, while mature industries with high rates of process innovation spur productivity in specialized peripheral areas (Capasso et al, 2016).…”

Related variety and economic development: a literature review

“…high rates of product innovation create jobs in diverse urban areas, while mature industries with high rates of process innovation spur productivity in specialized peripheral areas (Capasso, Cefis, & Frenken, 2016;Duranton & Puga, 2001). …”

Efectos espaciales directos e indirectos de la variedad industrial en el empleo y la creación de empresas en la Megalópolis del Valle de México, 2010 – 2019

“…La medición de estas interrelaciones alude directamente a cómo se construyen las variables para capturar la variedad (no) relacionada. Existen varias vertientes en la literatura, pero cuantitativamente existen dos posibilidades: (1) la medición "ex ante" de las conexiones intraindustriales, que supone que las empresas de una rama industrial son (tecnológica, productiva y organizacionalmente) más próximas a empresas de su mismo sector industrial (Freknen et al, 2007;Aarstad et al, 2016;Content y Frenken, 2016;Firgo y Mayerhofer, 2018); y (2) la medición "ex post" de estas conexiones, que requiere elaborar indicadores de interrelación a partir de datos de flujo, como similitud en los productos exportados o en uso de patentes ("technological relatedness") (Hidalgo et al, 2007;Nefke et al, 2011;Capasso et al, 2016;Balland et al, 2019). El segundo aspecto mencionado son los efectos espaciales.…”