Understanding What Shapes a Polycentric Governance System

AuthorMark Lubell,Ramiro Berardo
DOIhttp://doi.org/10.1111/puar.12532
Published date01 September 2016
Date01 September 2016
738 Public Administration Review • September | October 2016
Public Administration Review,
Vol. 76, Iss. 5, pp. 738–751. © 2016 by
The American Society for Public Administration.
DOI: 10.1111/puar.12532.
Mark Lubell is professor in the
Department of Environmental Science
and Policy and director of the Center for
Environmental Policy and Behavior at the
University of California, Davis. He studies
cooperation problems and decision making
in environmental, agricultural, and public
policy. Field research topics include water
management, sustainable agriculture,
adaptive decision making, climate
change policy, local government policy,
transportation behavior, plant disease
management, invasive species, and policy/
social network analysis.
E-mail: mnlubell@ucdavis.edu
Ramiro Berardo is assistant professor of
environmental and natural resources policy
in the School of Environment and Natural
Resources at The Ohio State University. His
research focuses on the role of institutions
in solving collective action problems in the
use and management of common-pool
resources, with an emphasis on water.
Most of his work is done in complex social-
ecological systems, including large-scale
estuaries and river systems in the United
States and Latin America.
E-mail: berardo.3@osu.edu
Understanding What Shapes a Polycentric Governance System
Abstract : Recent research has shown that communication networks involving governmental and nongovernmental
actors self-organize based on how risk is perceived. According to the “risk hypothesis,” actors embedded in governance
systems in which there is widespread risk of defection tend to form bonding structures, whereas those in low-risk
systems form bridging structures. A parallel strand of research proposes to study complex governance systems composed
of multiple actors and the decision-making forums in which they interact. In this article, the authors couple these
research threads and show how bonding and bridging structures form when stakeholders participate in three complex
governance systems of varying institutional strength. Findings suggest that the prevalence of one type of structure over
the other depends on contextual variables such as the stability of the institutions and the occurrence of environmental
focusing events that demand quick policy responses.
Ramiro Berardo
The Ohio State University
Mark Lubell
University of California , Davis
Practitioner Points
Understanding complex governance systems requires knowing how actors participate simultaneously in
multiple forums.
Bonding social capital is more valuable for the exchange of overlapping information that can be used to
prevent uncooperative behavior, while bridging social capital is more valuable for the acquisition of new
information for innovation.
Regardless of the strength of formal institutions in complex governance systems, both governmental and
nongovernmental actors tend to join policy forums that are heavily attended.
The shape of governance systems is likely a function of the strength of formal institutions, the organizational
capacity of individual policy actors, and the level of centralized authority vested in governmental actors.
F inding solutions to collective action problems
in regional arenas in which users have access
to common-pool resources has been one of the
main preoccupations of social scientists for many
years. The pathbreaking work of Elinor Ostrom
and her colleagues has improved our understanding
of how the management of a wide range of natural
resources can be optimized in complex social-
ecological systems in which multiple users interact
with each other. Among the components of social-
ecological systems that may contribute to solving
collective action problems are the networks that
stakeholders form when they communicate with
each other (Ostrom 2005 , 2009 ), which create
the social capital needed to facilitate social and
political cooperation through increased trust and
trustworthiness (Bromiley and Cummings 1995 ;
Sabatier et al. 2005 ; Scholz, Berardo, and Kile 2008 ).
In a recent contribution to the study of communi-
cation networks in complex social-ecological systems,
Berardo and Scholz ( 2010 ) examine networks in
10 U.S. estuaries and link the formation of specific
network structures to the types of problems that
stakeholders face and the risk associated with them.
According to their “risk hypothesis,” when actors in a
network (individuals or organizational stakeholders)
fear defection by others, they tend to create close-
knit bonding communication structures that facilitate
the flow of redundant information that can be used
to detect and punish defectors. On the other hand,
when actors face lower defection risk, they create links
that facilitate the emergence of bridging structures.
They do so, the argument goes, because bridging ties
provide information that helps solve the coordination
problems that are likely to exist in the absence of
widespread defection.
In parallel with this work, other research has
explicitly highlighted the need to study networks
as realizations of complex governance systems in
which actors engage in “venue shopping” in order to
advance their individual agendas (Berardo, Olivier,
and Lavers 2015 ; Lubell, Henry, and McCoy 2010a ,

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