The Normative Matrix of Social Costs: Linking Hayden’s Social Fabric Matrix and Kapp’s Theory of Social Costs

Sebastian Berger ()
Additional contact information
Sebastian Berger: Roanoke College

A chapter in Institutional Analysis and Praxis, 2009, pp 55-67 from Springer

Abstract: Abstract One of the most promising applications of Gregory F. Hayden’s Social Fabric Matrix is within the context of policymaking to counter environmental degradation and social costs. Developing his institutional theory of social costs since the 1930s, K. William Kapp proposed policymaking that is very similar to Hayden’s approach. Both aim at minimizing social costs by working with primary and secondary criteria based on systems principles, such as openness, negative and positive feedbacks. By presenting Kapp’s “normative economics” this paper shows how primary and secondary criteria serve policymaking as a basis to evaluate social costs in a nonutilitarian way and to avoid the theoretical and practical limitations of the purely formal Coasian and Pigouvian frameworks. The paper concludes that Hayden’s SFM provides the tool box for putting Kapp’s normative economics to work in policymaking.

Keywords: Social Cost; Primary Criterion; Neoclassical Economist; Rational Humanism; Substantive Rationality (search for similar items in EconPapers)
Date: 2009
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:sprchp:978-0-387-88741-8_4

Ordering information: This item can be ordered from
http://www.springer.com/9780387887418

DOI: 10.1007/978-0-387-88741-8_4

Access Statistics for this chapter

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