Urban water systems across the United States are facing a variety of challenges to existing supply and demand dynamics. Responding to these challenges and working toward sustainability in these complex socio-environmental systems (SES) requires integrating various types of information – ranging from hydrologic data to political considerations and beyond – into policy and management decisions. However, the design of institutions, i.e. the formal rules in which urban water utilities are embedded, impact the flow of various types of information, especially across diverse actor groups critical to developing and implementing policy. Drawing on a neuroscience-informed Bayesian application of the Robustness of Coupled Infrastructure Systems (CIS) Framework, this study examines the institutional designs of two urban U.S. water systems. It aims to advance our understanding of these systems by: A) theoretically linking cognitive science and its action-oriented predictive processing approach to the institutional configurations that shape collective-action; and B) identifying potential institutional dependencies and voids that may limit the use of formalized climate-related guidance in systems facing increased risks. We utilize process-tracing along with an institutional analysis approach called the Institutional Grammar Tool (IGT) to parse the institutions into their semantic and syntactic components, identifying institutional dependencies, voids, or conflicts which may influence long-range performance of the systems. Our findings have important implications for the (re)design of institutions that better facilitate the flow of information among key policy actors and support policy changes that promote sustainable long-term urban water supply.
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Assessing sustainability through the Institutional Grammar of urban water systems
Urban water supply systems in the United States are designed to be robust to a wide range of historical hydrological conditions in both their physical infrastructure and in the institutional arrangements that govern their use. However, these systems vary greatly in their capacity to respond to new and evolving stressors on water supplies, such as those associated with climate change. Developing a more precise understanding of the complexity of interactions between the environmental and human components of urban water systems, specifically via their institutions, has the potential to help identify institutional design choices that can foster proactive transitions to more sustainable operating states. This article adapts the Institutional Grammar (IG) within the Robustness of Coupled Infrastructure Systems Framework to assess how a heavily engineered system's institutional configuration may impact its ability to transition to more sustainable management practices. While use of the IG has historically been limited in larger‐N studies, our application demonstrates its flexibility in revealing variation in specific components across cases. The analysis finds the structure of formal institutions shape the interactions between actors differently, and that institutional diversity exists across environmental contexts. The extent to which this institutional diversity drives transitions remains an open question. The results highlight both the importance of and challenges involved with developing longitudinal data on social and natural system interactions.
more » « less- Award ID(s):
- 1923880
- NSF-PAR ID:
- 10367709
- Publisher / Repository:
- Wiley-Blackwell
- Date Published:
- Journal Name:
- Policy Studies Journal
- Volume:
- 50
- Issue:
- 2
- ISSN:
- 0190-292X
- Page Range / eLocation ID:
- p. 387-406
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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