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Institutional Design and Complexity: Protocol Network Structure in Response to Different Collective-Action Dilemmas

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Networks in Water Governance

Abstract

Network governance scholarship has demonstrated connections between the structure of networks and the types of problems actors face. However, much of this scholarship is highly social in focus and has traditionally not incorporated how rules and governance protocols shape collective action. This chapter bridges that gap by analyzing the design of formal rules using a network analysis framework, testing whether collective action problems are addressed through different rule structures. The analyzed case is an inter-governmental agreement created to secure New York City’s access to unfiltered drinking water sources. The analysis relies on hypergraph, bipartite, and unipartite networks to identify variations in graph subcomponents, clustering and centralization, and redundancy and closeness. Findings show that actors design rules anticipating that different kinds of collective action problems require different governance structures.

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Notes

  1. 1.

    New York City disinfects its water using chlorine and ultraviolet disinfection. Beginning in 2015, it began filtering water from the Croton Watershed.

  2. 2.

    It is important to note that, while social relationships are modeled dyadically, a core justification for the use of graph-based modeling approaches is the role of hyperdyadic dependence (i.e. pairwise relationships are influenced by surrounding relationships) (Cranmer and Desmarais 2016). Thus the distinction we draw here is not based on the idea that social dyads are independent (in most cases they are not), but rather that dyads are the base unit in which social ties within governance networks have traditionally been considered (e.g. Desmarais and Cranmer 2012; Yi and Scholz 2016).

References

  • Agarwal, S., Lim, J., Zelnik-Manor, L., Perona, P., Kriegman, D., & Belongie, S. (2005). Beyond Pairwise Clustering. In 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2005 (Vol. 2, pp. 838–845).

    Google Scholar 

  • Amsler, L. B. (2016). Collaborative Governance: Integrating Management, Politics, and Law. Public Administration Review, 76(5), 700–711.

    Google Scholar 

  • Angst, M., & Hirschi, C. (2016). Network Dynamics in Natural Resource Governance: A Case Study of Swiss Landscape Management. Policy Studies Journal, 45, 315–336.

    Google Scholar 

  • Arnold, G., Nguyen Long, L. A., & Gottlieb, M. (2017). Social Networks and Policy Entrepreneurship: How Relationships Shape Municipal Decision Making About High-Volume Hydraulic Fracturing. Policy Studies Journal, 45(3), 414–441.

    Google Scholar 

  • Berardo, R. (2014). Bridging and Bonding Capital in Two-Mode Collaboration Networks. Policy Studies Journal, 42(2), 197–225.

    Google Scholar 

  • Berardo, R., & Scholz, J. T. (2010). Self-Organizing Policy Networks: Risk, Partner Selection, and Cooperation in Estuaries. American Journal of Political Science, 54(3), 632–649.

    Google Scholar 

  • Bonacich, P., Holdren, A. C., & Johnston, M. (2004). Hyper-Edges and Multidimensional Centrality. Social Networks, 26(3), 189–203.

    Google Scholar 

  • Brown, T. L., & Potoski, M. (2003). Contract-Management Capacity in Municipal and County Governments. Public Administration Review, 63(2), 156–164.

    Google Scholar 

  • Brown, T. L., Potoski, M., & Van Slyke, D. (2016). Managing Complex Contracts: A Theoretical Approach. Journal of Public Administration Research and Theory, 26(2), 294–308.

    Google Scholar 

  • Butts, C. T. (2009). Revisiting the foundations of network analysis. Science, 325(5939), 414–416.

    Google Scholar 

  • Charrad, M., Ghazzali, N., Boiteau, V., & Niknafs, A. (2014). NbClust: An R Package for Determining the Relevant Number of Clusters in a Data Set. Journal of Statistical Software, 61(4), 1–36.

    Google Scholar 

  • Cranmer, S. J., & Desmarais, B. A. (2016). A Critique of Dyadic Design. International Studies Quarterly, 60(2), 355–362.

    Google Scholar 

  • Derrick, B., Toher, D., & White, P. (2016). Why Welch’s Test Is Type I Error Robust. Tutorials in Quantitative Methods for Psychology, 12(1), 30–38.

    Google Scholar 

  • Desmarais, B. A., & Cranmer, S. J. (2012). Micro-Level Interpretation of Exponential Random Graph Models with Application to Estuary Networks. Policy Studies Journal, 40(3), 402–434.

    Google Scholar 

  • Donahue, J. (1989). The Privatization Decision: Public Ends, Private Means. New York, NY: Basic Books.

    Google Scholar 

  • Feiock, R. C. (2013). The Institutional Collective Action Framework. Policy Studies Journal, 41(3), 397–425.

    Google Scholar 

  • Finnegan, M. C. (1997). New York City’s Watershed Agreement: A Lesson in Sharing Responsibility. Pace Environmental Law Review, 14(2), 577–644.

    Google Scholar 

  • Freeman, L. C. (1979). Centrality in Social Networks Conceptual Clarification. Social Networks, 1(3), 215–239.

    Google Scholar 

  • Galloway, A. R., & Thacker, E. (2004). Protocol, Control, and Networks. Grey Room, 17, 6–29.

    Google Scholar 

  • Gray, K. F. (1986). The Safe Drinking Water Act Amendments of 1986: Now a Tougher Act to Follow. Environmental Law Reporter, 16, 10338–10345.

    Google Scholar 

  • Hanlon, J. W., Olivier, T., & Schlager, E. (2019). Suspicious Collaborators: How Governments in Polycentric Systems Monitor Behavior and Enforce Public Good Provision Rules Against One Another. International Journal of the Commons, 13(2), 977–922.

    Google Scholar 

  • Hastie, T., Tibshirani, R., Friedman, J., & Franklin, J. (2005). The Elements of Statistical Learning: Data Mining, Inference and Prediction. The Mathematical Intelligencer, 27(2), 83–85.

    Google Scholar 

  • Hefetz, A., & Warner, M. (2012). Contracting or Public Delivery? Journal of Public Administration Research and Theory, 22(2), 289–317.

    Google Scholar 

  • Horn, M. (1995). The Political Economy of Public Administration: Institutional Choice in the Public Sector. New York, NY: Cambridge University Press.

    Google Scholar 

  • Kawa, N. (2018). Spectral Clustering. (Online). Retrieved from https://rpubs.com/nurakawa/spectral-clustering.

  • Lamothe, M., & Lamothe, S. (2012). What Determines the Formal Versus Relational Nature of Local Government Contracting? Urban Affairs Review, 48(3), 322–353.

    Google Scholar 

  • Li, X., Hu, W., Shen, C., Dick, A., & Zhang, Z. (2014). Context-Aware Hypergraph Construction for Robust Spectral Clustering. IEEE Transactions on Knowledge and Data Engineering, 26(10), 2588–2597.

    Google Scholar 

  • Lubell, M. (2013). Governing Institutional Complexity: The Ecology of Games Framework. Policy Studies Journal, 41(3), 537–559.

    Google Scholar 

  • Miller, G. (1992). Managerial Dilemmas: The Political Economy of Hierarchy. New York, NY: Cambridge University Press.

    Google Scholar 

  • National Research Council. (2000). Watershed Management for Potable Water Supply: Assessing the New York City Strategy. Washington, DC: National Academies Press.

    Google Scholar 

  • Newman, M. E. J. (2001). Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physic, 64, 016132.

    Google Scholar 

  • Oakerson, R. (1999). Governing Local Public Economies: Creating the Civic Metropolis. Oakland, CA: ICS Press.

    Google Scholar 

  • Olivier, T. (2019). How Do Institutions Address Collective-Action Problems? Bridging and Bonding in Institutional Design. Political Research Quarterly, 72(1), 162–176.

    Google Scholar 

  • Opsahl, T. (2009). Structure and Evolution of Weighted Networks. London: University of London (Queen Mary College).

    Google Scholar 

  • Opsahl, T. (2013). Triadic Closure in Two-Mode Networks: Redefining the Global and Local Clustering Coefficients. Social networks, 35(2), 159–167.

    Google Scholar 

  • Opsahl, T., & Panzarasa, P. (2009). Clustering in Weighted Networks. Social networks, 31(2), 155–163.

    Google Scholar 

  • Ostrom, E. (1990). Governing the Commons: The Evolution of Institutions for Collective Action. New York, NY: Cambridge University Press.

    Google Scholar 

  • Ostrom, E., Gardner, R., & James, W. (1994). Rules, Games, and Common-Pool Resources. Michigan, MI: University of Michigan Press.

    Google Scholar 

  • Petersen, O. H., Houlberg, K., & Christensen, L. R. (2015). Contracting Out Local Services: A Tale of Technical and Social Services. Public Administration Review, 75(4), 560–570.

    Google Scholar 

  • Robins, G., & Alexander, M. (2004). Small Worlds Among Interlocking Directors: Network Structure and Distance in Bipartite Graphs. Computational and Mathematical Organization Theory, 10(1), 69–94.

    Google Scholar 

  • Savas, E. S. (1977). An Empirical Study of Competition in Municipal Service Delivery. Public Administration Review, 37(6), 717–724.

    Google Scholar 

  • Scott, T. A. (2016). Analyzing Policy Networks Using Valued Exponential Random Graph Models: Do Government-Sponsored Collaborative Groups Enhance Organizational Networks? Policy Studies Journal, 44(2), 215–244.

    Google Scholar 

  • Stein, R. (1990). Urban Alternatives: Public and Private Markets in the Provision of Public Services. Pittsburgh, PA: University of Pittsburgh Press.

    Google Scholar 

  • Surface Water Treatment Rule, 40 C.F.R §141.71. (1989).

    Google Scholar 

  • Ulibarri, N., & Scott, T. A. (2016). Linking Network Structure to Collaborative Governance. Journal of Public Administration Research, 27(1), 163–181.

    Google Scholar 

  • United States Environmental Protection Agency. (2002). New York City Filtration Avoidance Determination. Retrieved from https://archive.epa.gov/region02/water/nycshed/web/pdf/2002fad.pdf.

  • Williamson, O. E. (1981). The Economics of Organization: The Transaction Cost Approach. American Journal of Sociology, 87, 548–577.

    Google Scholar 

  • Yi, H., & Scholz, J. T. (2016). Policy Networks in Complex Governance Subsystems: Observing and Comparing Hyperlink, Media, and Partnership Networks. Policy Studies Journal, 44(3), 248–279.

    Google Scholar 

  • Zhou, D., Huang, J., & Schölkopf, B. (2007). Learning with Hypergraphs: Clustering, Classification, and Embedding. In B. Schölkopf, J. C. Platt, & T. Hoffman (Eds.), Advances in Neural Information Processing Systems 19 (pp. 1601–1608). Vancouver: MIT Press.

    Google Scholar 

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Correspondence to Tomás Olivier .

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Olivier, T., Scott, T.A., Schlager, E. (2020). Institutional Design and Complexity: Protocol Network Structure in Response to Different Collective-Action Dilemmas. In: Fischer, M., Ingold, K. (eds) Networks in Water Governance. Palgrave Studies in Water Governance: Policy and Practice. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-46769-2_10

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  • DOI: https://doi.org/10.1007/978-3-030-46769-2_10

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