Adapting or supplanting production and distribution systems to accommodate new criteria of environmental sustainability entails the search for and the recombination of know-how from a variety of domains. How this process plays out in different areas depends crucially on the specific composition of local economic activities. This paper contributes this debate by analysing whether and to what extent regional industrial and occupational diversification affects the change in green employment across 363 Metropolitan Statistical Areas (MSAs) in the United States between 2006 and 2014. Our findings suggest that industrial unrelated variety within MSAs is a positive and significant predictor of green employment growth whereas related variety has very little impact. Conversely, both related and unrelated diversification across occupations are positively associated with green employment growth. The analysis also uncovers heterogeneity across existing, new and evolving green jobs.

Regional diversification and green employment in US metropolitan areas

Nicolò Barbieri
Primo
;
2019

Abstract

Adapting or supplanting production and distribution systems to accommodate new criteria of environmental sustainability entails the search for and the recombination of know-how from a variety of domains. How this process plays out in different areas depends crucially on the specific composition of local economic activities. This paper contributes this debate by analysing whether and to what extent regional industrial and occupational diversification affects the change in green employment across 363 Metropolitan Statistical Areas (MSAs) in the United States between 2006 and 2014. Our findings suggest that industrial unrelated variety within MSAs is a positive and significant predictor of green employment growth whereas related variety has very little impact. Conversely, both related and unrelated diversification across occupations are positively associated with green employment growth. The analysis also uncovers heterogeneity across existing, new and evolving green jobs.
2019
Barbieri, Nicolo'; Consoli, Davide
File in questo prodotto:
File Dimensione Formato  
1-s2.0-S0048733318302725-main.pdf

solo gestori archivio

Tipologia: Full text (versione editoriale)
Licenza: NON PUBBLICO - Accesso privato/ristretto
Dimensione 3.76 MB
Formato Adobe PDF
3.76 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
peeg1727.pdf

accesso aperto

Descrizione: Working paper del lavoro pubblicato su Papers in Evolutionary Economic Geography : Utrecht University
Tipologia: Altro materiale allegato
Licenza: PUBBLICO - Pubblico con Copyright
Dimensione 889.72 kB
Formato Adobe PDF
889.72 kB Adobe PDF Visualizza/Apri
Barbieri-2397789 pre-print.pdf

accesso aperto

Descrizione: Pre print
Tipologia: Pre-print
Licenza: PUBBLICO - Pubblico con Copyright
Dimensione 1.39 MB
Formato Adobe PDF
1.39 MB Adobe PDF Visualizza/Apri

I documenti in SFERA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/2397789
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 28
  • ???jsp.display-item.citation.isi??? 25
social impact