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There is ample evidence of regions diversifying in new occupations that are related to pre-existing activities in the region. However, it is still poorly understood through which mechanisms related diversification operates. To unpack relatedness, we distinguish between three mechanisms: complementarity (interdependent tasks), similarity (sharing similar skills) and local synergy (based on pure co-location). We propose a measure for each of these relatedness dimensions and assess their impact on the evolution of the occupational structure of 389 US Metropolitan Statistical Areas (MSA) for the period 2005–2016. Our findings show that new jobs appearing in MSA’s are related to existing ones, while those more likely to disappear are more unrelated to a city’s jobs’ portfolio. We found that all three relatedness dimensions matter, but local synergy shows the largest impact on entry and exit of jobs in US cities, thus being the strongest force of diversification.

The ‘life cycle’ approach has become popular in studies on industrial clusters. However, some concerns have been raised over the inherent determinism of this approach and its tendencies to focus exclusively on cluster internal dynamics while neglecting the role of external factors and socio-economic contingencies. This paper addresses these criticisms by investigating the long-term development of Castel Goffredo, a traditional textile cluster in Italy. In our analysis, we identify and characterize the main stages of the life cycle and its antecedents. We single out the main triggering factors behind each of these stages and show that a variety of factors, both external and internal to the cluster, contributed to its development. Our findings confirm that an ‘adaptive’ cycle approach, which focuses also on contingencies and external factors, appear to be appropriate for investigating the long-term evolution of clusters.

This special issue aims at advancing the debate about the interpretative power of evolutionary perspectives on economic development and institutional change. In the introduction, we argue that the interpretative power of the current evolutionary approach can be improved by elaborating an 'augmented' perspective to economic development, which explicitly integrates the role of institutions and the dynamics of natural resource sectors (e.g. agro-food) into the analysis. We maintain that such a theoretical and empirical advancement can help to define a conceptual framework that is more suitable to analyse innovation-driven change, differentiated development patterns, opportunities and constraints for developing countries in the globalised knowledge economy. A collection of papers that adopt this perspective are discussed in order to prove the interpretative power of this approach in a variety of development contexts. Tijdschrift voor Economische en Sociale Geografie