Many agricultural and environmental technologies require upfront investments. This may deter adoption, particularly in settings characterized by information liquidity and credit constraints. We test for these barriers to the adoption of an agricultural technique that helps address land degradation in Niger. We find little evidence that liquidity or credit constraints deter adoption: instead, providing farmers with training increases the share of adopters by over 90 percentage points. Conditional or unconditional cash transfers have no additional effect. Adoption increases agricultural output and reduces land turnover in the longerterm. In our setting, training provides both specific technical knowledge and addresses behavioral constraints.

Technology adoption often requires multiple stages of investment. As new information emerges, agents may abandon a technology that was profitable in expectation. We use a field experiment to vary the payoffs at two stages of investment in a new technology: a tree species that provides on-farm fertilizer benefits. Farmer decisions identify the information about profitability that arrives between the take-up and follow-through stages. Results show that this form of uncertainty increases take-up but lowers average tree survival, decreasing the cost-effectiveness of take-up subsidies. Thus, uncertainty offers another explanation for why even costly technologies may go unused or be abandoned.