Occupational and Skills Clusters

Mark C. White ()
Additional contact information
Mark C. White: University of Illinois Urbana-Champaign, Department of Agricultural and Consumer Economics

Chapter 4 in Economic Competitiveness, 2026, pp 39-51 from Springer

Abstract: Abstract Occupational and skills clusters can effectively complement more traditional approaches to traditional industry-based regional analysis. These analytical frameworks often group occupations by shared knowledge, skills, and tasks in ways that highlight regional workforce strengths. As with other analytical frameworks occupational clustering analyses must align with regional priorities, by for instance, focusing the analysis on key labor market segments (e.g., high-tech jobs). These analyses can support multiple user groups such as workforce development agencies, training and postsecondary education providers, and economic development organizations. Moving forward, newer data sources related to real-time labor market information and credential tracking can strengthen and refine these analytical frameworks.

Keywords: Occupational clusters; Regional workforce competitiveness; Labor market information; Economic and workforce development; Skills targeting (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sbrchp:978-3-032-20359-5_4

Ordering information: This item can be ordered from
http://www.springer.com/9783032203595

DOI: 10.1007/978-3-032-20359-5_4

Access Statistics for this chapter

More chapters in SpringerBriefs in Regional Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().