Exploring the Role of Networks in CPR Governance

Exploring the Role of Networks in CPR Governance

Isaenko, Matvei (TU Delft Technology, Policy and Management)

Ghorbani, Amineh (mentor)
van der Voort, H.G. (mentor)

Delft University of Technology

Engineering and Policy Analysis

2023-09-22

In my thesis I was studying the interrelation between network topology and dynamics and the emergence and evolution of institutions for the governance of CPR. This research was intended to shed some light on what is the role of networks in formation of endogenous institutions and the possible insights for policy makers and users of CPR. To answer my research question, I utilized the agent-based institutional model and enhanced it by adding three dimensions of social networks and connecting them through various mechanisms to other parts of the model trying to capture the complexity of SESs. Therefore, through the combination of ABM and approaches from SNA I conducted a series of simulations that were imitating co-evolution of endogenous institutions and network topology. Through variation of input and output parameters the patterns were derived from the model and thoroughly analyzed. Notably, they suggest a positive relationship between the degree of network fragmentation and the stability of institutional structures within these communities. This implies that more fragmented social networks tend to exhibit greater stability in their institutional arrangements. Furthermore, the research reveals the presence of negative feedback mechanisms influencing network-dependent rewiring probabilities and positive feedback mechanisms governing homophily-based rewiring probabilities. These findings underscore the complexity of CPR governance, where network structures, institutional dynamics, and personal strategies interact in intricate ways. The results of this analysis were utilized to provide policy recommendations for regulation of CPRs. Mainly these recommendations evolve around: (i) identification and connection of fragments within social networks; (ii) analysis of the details of agents resource consumption, (iiI) identification of potential strategy options and (iv) enhancement of the processes that drive creation of gear- (or other attribute-) based connections. Overall, the research has the potential to inform the development of more effective and sustainable approaches to the governance of CPRs.

Common Pool Resource
Agent based model
social network analysis
Socio-Ecological System
Fisheries

http://resolver.tudelft.nl/uuid:58eb5160-aad0-437a-a4e3-9927c95d42dd

https://github.com/magnwiz/CPR Link to a Github repository with a Python code of the model

Student theses

master thesis

© 2023 Matvei Isaenko