Evaluation of Mechanism-Design Auction Rules for Artificial Intelligence Agriculture Input Vouchers Under Cooperative Elite Bid-Rigging: A Governance Truthfulness Guarantee for Subsidy Fairness

Agricultural input voucher programmes allocate subsidised seed, fertiliser and advisory services to smallholders, and the shift toward artificial-intelligence-mediated targeting has moved the allocation decision from a posted price to an auction whose rules determine who is served and at what cost. Where cooperatives intermediate between the state and the farmer, cooperative elites can coordinate bids, suppress competition and capture the subsidy rent that the auction was designed to dissipate. the present analysis evaluates, at the level of mechanism design rather than field implementation, whether alternative auction rules can guarantee truthfulness when bidders are cooperative elites who may collude. It specifies a governance truthfulness guarantee as the property that no coalition of elite bidders can improve its payoff by misreporting its valuation, and it derives the conditions under which a second-price rule with a reserve price and a public bid ledger satisfies that guarantee while a first-price rule does not. The analysis is theoretical and comparative: it characterises the incentive structure of four rule families, identifies the information the allocating agency must hold for the guarantee to bind, and shows that the guarantee is fragile to the agency's own dependence on cooperative elites for verification. The contribution is a bounded governance result: truthfulness in AI-mediated voucher auctions is achievable only when the auction rule, the verification authority and the audit trail are separated, and the paper specifies the institutional separation that the guarantee requires.