Digital Library Of The Commons Repository


Recent Submissions

Conference Paper
Global Evidence that Bottom-Up but Not Co-management Improves Compliance with Commons Governance Compared to Top-Down Regulations
(2024) Quintana, Anastasia; Gaines, Steven; Ristig, Erin; Neilson, Larissa; Glave, Dylan
"Noncompliance threatens the sustainability of the commons. Arguments for bottom-up commons governance is often premised on assumptions that commons users comply more when they craft the rules that govern them. However, there is limited evidence linking governance and compliance, especially at large scale, because the gold standard for measuring compliance as a binary (comply/not comply) maps poorly onto the complexity of overlapping formal and informal rules that characterize commons governance. In this paper, we advance an emerging methodological tool to diagnose compliance types using a two-dimensional model with both quantitative and qualitative applications. We then use this tool to examine whether self-governance increases regulatory compliance with marine protected areas, a widespread tool for fisheries management, through the analysis of a survey of fisher attitudes collected by the nonprofit organization, Rare, in seven countries with total n>5000. Using a cluster analysis, we found four compliance ideal-types: committed, supportive, ambivalent, and resistant. Top-down governance was associated with more resistant fishers while bottom-up governance was associated with more committed fishers. Contrary to our expectations, co-management was indistinguishable from top-down governance. Based on the ratios of different compliance types, we suggest several policy levers that could improve governance. This study suggests that more attention should be given to how resources users perceive rules rather than just the behavior of compliance."
Conference Paper
A Framework for Multi-LLM Agent-Based Modeling in Social-Ecological Systems for Environmental Decision-Making through Conversational Experiments
(2024) Kim, Sola; Chang, Dongjune
"This paper presents a novel Multi-LLM Agent Modeling framework that integrates agent-based modeling with large language models (LLMs) to advance the realism and effectiveness of environmental decision-making experiments within social-ecological systems. By focusing on individual and collective agent behaviors, our framework offers a detailed examination of how diverse sociodemographic factors and environmental beliefs influence sustainable practices. The agents, defined by unique profiles and embedded with predefined values, beliefs, and norms, operate within a controlled virtual environment to simulate real-world dynamics and interactions. Our approach not only enhances the comprehension of environmental decision-making processes but also facilitates the development of targeted interventions aimed at promoting sustainable practices across various community segments. This research contributes to the broader application of agent-based models in environmental policy-making, emphasizing the importance of equity, diversity, and inclusion in modeling efforts and highlighting the potential of LLMs to capture complex dynamics within social-ecological systems."
Conference Paper
Selecting the Optimal Number of Archetypes in Environmental and Natural Resource Governance: Procedure and Metrics Based on Formal Concept Analysis
(2024) Eisenack, Klaus; Wang, Rongyu
Research on the governance of environmental and natural resources increasingly employs archetype analysis, but still requires some methodological advances. One gap we address are rigorous criteria and metrics for selecting the appropriate number of archetypes. Another gap is that some commonly combined methods, e.g., formal concept analysis (FCA), have difficulties in treating outcome attributes differently than explaining attributes. Addressing both gaps is important, since archetype analysis aims to identify a suite of different attribute configurations that explain one outcome of interest (equifinality), and different archetypes should be combined like building-blocks when explaining a single case (modularity). This paper thus proposes a general, orderly and replicable procedure to enhance standard FCA to treat outcome attributes independently, and to choose the appropriate number of archetypes based on the metrics that compare different archetypes and suites of archetypes. Some steps are computational and can be done with conventional software packages, while other steps are qualitative. We illustrate the procedure by replicating the data analysis part of previously published archetype analyses of environmental and natural resource governance. This admits to delve into the particularities of each step, show how to circumvent possible pitfalls, and assess the strengths and limitations of the procedure.
Conference Paper
Climate Change and Incentives to Cooperate in Local Commons
(2024) Halonen-Akatwijuka, Maija
"This paper analyzes incentives to cooperate in maintenance and improvement of local commons, such as irrigation systems. I show that climate change modelled as a reduction in agricultural productivity reduces the value of the relationship but also reduces the temptation to freeride in maintenance. The overall incentives to cooperate are improved because lower temptation to freeride is the dominant effect. Therefore, the negative effect of climate change is mitigated by higher degree of cooperation -- but only if agricultural productivity was initially so high that full cooperation was not possible. While climate change results in full reduction of surplus if agricultural productivity was initially relatively low and cooperation at the first best level was already sustainable."
Conference Paper
Principles of Institutional Design in the Digital Commons: Evidence from the WeChat Social Platform
(Workshop on the Ostrom Workshop – WOW7 Conference, 2024) Yu, Shuyang; Wang, Yahua; Shu, Quanfeng
With the digital age coming, the governance of digital commons has become a new research hotspot. WeChat group chat is a frequent digital space in China, which can be regarded as an example of digital commons. Its characters may change the traditional commons theory. Elinor Ostrom once proposed eight principles of institutional design in common pool resources. In the digital commons, however, technological conditions replace natural conditions, and the rules are limited by the digital space itself, meanwhile the identities of collective actors have changed a lot. These changes may provide some opportunity to challenge Ostrom’s eight principles for traditional commons, and then build new theory of institutional design for digital commons. This paper explores the differences and connections between the digital commons and the traditional commons. By quantitative and qualitative analysis on WeChat group chats, we aim to develop new institutional design principles for digital space. The contribution of this study is to expand the theories of institutional design and to provide support for digital collective action.