The present study maps and classifies industrial districts in Portugal, identifying the features of specialization and the current capacity of industrialization. It employs an adaptation of the algorithm developed by Canello and Pavone (2016) in 308 Portuguese municipalities based on six phases....

By exploiting firm level balance sheet data from the Cerved database and employment data from the INPS database, we provide a detailed description of the productivity performance of Italian industrial districts firms over the 2003-2017 period. The main structural features of industrial districts...

"This volume offers a diverse discussion on the interrelations among AI, algorithms, big data, and Industry 4.0 to understand the importance of these paradigms for the development of firms, districts, clusters, cities, regions, and innovation.This book was originally published as a special issue...

Through the study of Arzignano’s leather district, this chapter presents the evolution of the Italianate industrial district, highlighting the resilience of this model of local economic development. The first part presents the conceptual framework of this evolution; the Arzignano leather...

This chapter considers the development of four important Taiwanese industrial clusters: bicycles, machine tools, integrated circuits (ICs), and information and communication technologies (ICT) hardware. Three of these clusters grew out of the networked production of Taiwan's rural...

This paper investigates the effects of a large firm's geographical expansion (anchor firm) on local worker transitions into young firms through wage effects in industries economically proximate to the anchor firm. Using hand-collected data matched to administrative Census microdata, I exploit...