This chapter uses a variety of data sources according to the topics analysed. For the EU level analysis of employment and values added, we use harmonised data on (NACE 1 digit) employment, and gross value added (GVA) at the NUTS 3 level from European Commission’s Annual Regional Database (ARDECO), maintained by the Joint Research Centre. This is augmented by data from the European Labour Force Survey (ELFS) and the European Structural Business Statistics (SBS) to analyse employment developments at a NACE 2-digit sectoral level and more recent occupational employment trends in the production sector of metropolitan regions. To explore the case study cities, we use national data sources that provide information on the employment of NACE 3-digit branches at a regional level below NUTS3. Further, the “production sector” is approximated by the NACE 1-digit groups transport and logistics (NACE H), wholesale and storage (NACE 46 + 45), Manufacturing (NACE C) and construction (NACE F) in the 289 “Metropolitan Regions” of the European Union and Norway as defined by Eurostat (2019) and shown in figure 1. These are differentiated by size, income, function (as described by Dijkstra – Poelman, 2011) and specialisation groups. Among these differentiations, the most noticeable is related to the 58 largest metropolitan regions, which we refer to as major metros subsequently and are at the centre of the analysis below.
Changing ground: the future place of the productive city
fedeli v
2020-01-01
Abstract
This chapter uses a variety of data sources according to the topics analysed. For the EU level analysis of employment and values added, we use harmonised data on (NACE 1 digit) employment, and gross value added (GVA) at the NUTS 3 level from European Commission’s Annual Regional Database (ARDECO), maintained by the Joint Research Centre. This is augmented by data from the European Labour Force Survey (ELFS) and the European Structural Business Statistics (SBS) to analyse employment developments at a NACE 2-digit sectoral level and more recent occupational employment trends in the production sector of metropolitan regions. To explore the case study cities, we use national data sources that provide information on the employment of NACE 3-digit branches at a regional level below NUTS3. Further, the “production sector” is approximated by the NACE 1-digit groups transport and logistics (NACE H), wholesale and storage (NACE 46 + 45), Manufacturing (NACE C) and construction (NACE F) in the 289 “Metropolitan Regions” of the European Union and Norway as defined by Eurostat (2019) and shown in figure 1. These are differentiated by size, income, function (as described by Dijkstra – Poelman, 2011) and specialisation groups. Among these differentiations, the most noticeable is related to the 58 largest metropolitan regions, which we refer to as major metros subsequently and are at the centre of the analysis below.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.