Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Session Overview |
Session | ||
Track T3-6: Data, AI, and Digital Governance: Markets and Policy
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Presentations | ||
Is There Wisdom Among the DAO Crowd? Evidence from Vote Delegation 1Chinese University of Hong Kong, Shenzhen; 2Chinese University of Hong Kong; 3ABFER; 4University of Delaware; 5ECGI Nearly half of decentralized autonomous organizations (DAOs) allow vote delegation to facilitate user participation in governance and decision making. Yet, how well this mechanism works is largely unknown. We evaluate the efficacy of the vote delegation scheme by examining token holders’ vote delegation decisions and delegates’ voting behavior in MakerDAO, a pioneering and foundational DAO protocol. We find that token holders are able to discern delegates’ actions and reward delegates acting in their best interest with more delegated votes. Delegates vary in their incentives and expertise, which influence how they vote on proposals. Delegates whose interests are more aligned with token holders and who possess more expertise related to the proposals are more likely to vote correctly, whereas those with potential conflicts of interest tend to vote against token holders’ interest. Finally, we find that how well the vote delegation scheme works is positively related to future performance of the governance tokens. Overall, our evidence suggests that vote delegation can contribute to the performance and growth of DAOs so long as delegates have the requisite incentives and expertise.
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