People Don't Talk in Institutional Statements

A Methodological Case Study of the Institutional Analysis and Development Framework

Datos Bibliográficos

ID6329964
AutoresCristy Watkins (0000-0003-1710-7341), Lynne M Westphal (0000-0003-1861-5372)
Año2016
Volumen44
NúmeroS1
Fecha de publicación2016-05-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaPolicy Studies Journal (JOURNAL)
Identificadores de la revistaISSN: 0190-292X • E-ISSN: 1541-0072
EditorialWiley (PUBLISHER • GB)
DOI10.1111/psj.12139
OpenAlexW2159859948
IdiomaEN
Citas recibidas24
Referencias citadas22

In this paper, we describe our application of Ostrom et al.'s ADICO syntax, a grammatical tool based in the Institutional Analysis and Development framework, to a study of ecological restoration decision making in the Chicago Wilderness region. As this method has only been used to look at written policy and/or extractive natural resource management systems, our application is novel in context (a value‐adding environmental management action), data type (in‐depth, qualitative interviews, and participant observation), and extent of institutional statement extraction (we extract rules, as well as norms and strategies). Through detailed description, visual aids, and case‐specific qualitative examples, we show the usefulness of the ADICO syntax in detailing the full set of institutional statements‐in‐use: rules, norms, and strategies. One of the most interesting findings is that we found norms (and not just rules) to be prevalent and particularly meaningful guides for people's actions. This reinforces the need to address norms and strategies, not only rules, when developing effective policy

Action (physics · Context (archaeology · Dialectic · Economics · Epistemology · Geography · Institutional analysis · Management science · Natural resource · Natural resource management · Political science · Set (abstract data type · Social science · Sociology · Syntax · Value (mathematics · Wilderness · Computer Science · Conservation, Biodiversity, and Resource Management · Economic and Environmental Valuation · Law · Sustainability and Climate Change Governance · Artificial Intelligence