Trust and specialization in complexity: Evidence from U.S. states

José De Sousa (), Amélie Guillin, Julie Lochard and Arthur Silve

Journal of Economic Behavior & Organization, 2023, vol. 216, issue C, 332-353

Abstract: Industries with more complex input-output relationships are comparatively larger in U.S. states with higher levels of trust. This specialization pattern is not driven by differences in the states' and industries' other observable characteristics. Given the importance of complexity in economic growth and development, our results underscore the need to focus more on the role of social norms, particularly trust, in shaping patterns of economic specialization.

Keywords: Trust; Specialization; Complexity; Input-output relationships (search for similar items in EconPapers)
JEL-codes: E23 E71 R32 Z13 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S016726812300358X
Full text for ScienceDirect subscribers only

Related works:
Working Paper: Trust and specialization in complexity: Evidence from U.S. states (2023)
Working Paper: Trust and specialization in complexity: Evidence from U.S. states (2023)
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:eee:jeborg:v:216:y:2023:i:c:p:332-353

DOI: 10.1016/j.jebo.2023.10.004

Access Statistics for this article

Journal of Economic Behavior & Organization is currently edited by Houser, D. and Puzzello, D.

More articles in Journal of Economic Behavior & Organization from Elsevier
Bibliographic data for series maintained by Catherine Liu ().