Information Sharing and Cooperative Search in Fisheries

Evans, Keith S.; Weninger, Quinn

doi:10.1007/s10640-013-9701-8

Cited by 28 publications

(21 citation statements)

References 26 publications

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“…They seem to create shared and convergent beliefs about virus dynamics much more quickly. In contrast to the case in Evans and Weninger (2013), the information sharing system in the present study does not allow agents to understand the virus behavior. They do not systematically explore, in a reliable manner, all available strategies in order to determine the real virus dynamics, but rather make do with what they have chosen and adapt their strategies accordingly.…”

Section: Effects Of Information Sharingmentioning

confidence: 86%

“…Secondly, the disclosure of private information could encourage strategic behaviour, for instance by providing incorrect information so competitors do not benefit. Thirdly, the issue of free-riding may emerge, with some actors benefiting from the work of others without having expended the same time and energy to collect and share information (Evans and Weninger, 2013).…”

Section: Information Sharing For the Management Of Collective Naturalmentioning

confidence: 99%

“…Information may be shared for various purposes, such as to justify a certain action (Berkes and Jolly, 2001), deal with conflicts (Adams et al, 2003), avoid depletion and pollution (Nagendra and Ostrom, 2014), or understand a resource system's dynamics (Evans and Weninger, 2013). It can also be transmitted in different ways, for example, via interpersonal exchanges on social networks (Bodin and Crona, 2009), institutional communications or schools.…”

Section: Information Sharing For the Management Of Collective Naturalmentioning

confidence: 99%

See 2 more Smart Citations

An in-silico analysis of information sharing systems for adaptable resources management: a case study of oyster farmers

Paget¹,

Bonté²,

Barreteau³

et al. 2019

SESMO

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Information sharing systems are often viewed as a potential way of increasing scrutiny by actors of their interactions with natural resources. Scrutiny is then seen as encouraging sustainable and adaptable management of the resource. We tackle this claim by using an agent-based model to focus on the specific issue of oyster farmers dealing with the deadly OsHV-1 virus by sharing information about their own experience (practices and outcomes) via their social network and/or an information sharing system. We followed closely what access to such information sharing means for the environment (production), agents (beliefs) and interactions between the environment and agents (practices). In the model, introducing information sharing leads to a decrease in mortality rates and a convergence in agents’ beliefs. Agents stop changing their practices earlier when they share information, but heterogeneity in agent decision-making models leads to wider exploration of possible strategies and increased production. Agent-based modelling proved a suitable method for studying the impacts of information sharing.

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Section: Effects Of Information Sharingmentioning

confidence: 86%

Section: Information Sharing For the Management Of Collective Naturalmentioning

confidence: 99%

Section: Information Sharing For the Management Of Collective Naturalmentioning

confidence: 99%

See 1 more Smart Citation

An in-silico analysis of information sharing systems for adaptable resources management: a case study of oyster farmers

Paget¹,

Bonté²,

Barreteau³

et al. 2019

SESMO

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“…Only individual non‐tradable quotas (IQs) incentivize larger club sizes (Figure ). While a few previous studies suggested property rights and their tradability could affect information‐sharing incentives (Costello & Deacon, ; Deacon, Parker, & Costello, ; Evans & Weninger, ), the flexibility of ABMs adds to this literature by facilitating the study of these incentives across a rich range of social and ecological conditions (e.g. as Klein et al, also demonstrates).…”

Section: Gap 3: Understanding and Projecting The Social Consequences mentioning

confidence: 99%

Opportunities for agent‐based modelling in human dimensions of fisheries

et al. 2020

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Models of human dimensions of fisheries are important to understanding and predicting how fishing industries respond to changes in marine ecosystems and management institutions. Advances in computation have made it possible to construct agent-based models (ABMs)-which explicitly describe the behaviour of individual people, firms or vessels in order to understand and predict their aggregate behaviours. ABMs are widely used for both academic and applied purposes in many settings including finance, urban planning and the military, but are not yet mainstream in fisheries science and management, despite a growing literature. ABMs are well suited to understanding emergent consequences of fisher interactions, heterogeneity and bounded rationality, especially in complex ecological, social and institutional contexts. For these reasons, we argue that ABMs of human behaviour can contribute significantly to human dimensions of fisheries in three areas: (a) understanding interactions between multiple management institutions; (b) incorporating cognitive and | 571 BURGESS Et al. 7 ABM CHALLENGES 579 7.1 Scope 579 7.2 Calibration and validation 579 7.3 Balancing realism and complexity 578 7.4 Resource and time investment 578 7.5 Documentation and reproducibility 578 8 CONCLUSION: FROM STRATEGIC TO TACTICAL ABMS 581 ACKNOWLEDGEMENTS 581 DATA AVAILABILITY STATEMENT 581 REFERENCES 581 APPENDIX 1 586

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“…However, information sharing within cooperatives represents a public good and, therefore, is under-provided unless there exists an organizational structure to incentivize information sharing within the cooperative (Wilson 1990). This later feature has received increasing scrutiny by economists who have studied the incentive structures present in a cooperative (Costello and Deacon 2007;Deacon 2012;Evans and Weninger forthcoming).…”

Section: Introductionmentioning

confidence: 99%

Cooperative Formation and Peer Effects in Fisheries

Felthoven

Lee²,

Schnier³

2014

Marine Resource Economics

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The economic benefits that arise following the transition to a rights-based fishery management regime accrue on both the extensive and intensive margins. This research explores the changes in fleet composition, economic performance, and coordination that occurred following the introduction of the Bering Sea Crab Rationalization Program. On the extensive margin, we estimate the relative efficiency of vessels within each fishing cooperative to look for potential arbitrage opportunities when selecting which vessels will fish the cooperative's quota allocation. On the intensive margin, we investigate the role of peer effects in facilitating the flow of information within the cooperative. The results support two hypotheses within the red king and snow crab fisheries: (1) the cooperatives which formed appear to have exploited the Intracooperative efficiency arbitrage opportunities, and (2) an increase In landings by a fellow cooperative member tends to increase one's own landings, a positive peer effect.

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Information Sharing and Cooperative Search in Fisheries

Cited by 28 publications

References 26 publications

An in-silico analysis of information sharing systems for adaptable resources management: a case study of oyster farmers

An in-silico analysis of information sharing systems for adaptable resources management: a case study of oyster farmers

Opportunities for agent‐based modelling in human dimensions of fisheries

Cooperative Formation and Peer Effects in Fisheries

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