The phrase “scaling for impact” has become central in agricultural development, yet many scientifically sound technologies that succeed in trials fail to achieve widespread adoption. While extension systems are often blamed, the issue is far more complex, involving how technologies are piloted, framed, and supported, and the broader ecosystem of stakeholders and incentives influencing adoption.
John List’s book The Voltage Effect highlights why some technologies scale while others fail, identifying pitfalls such as false positives, overestimated growth, unique circumstances, unintended consequences, and excessive costs. Success in pilot trials does not guarantee scalability. Technologies may produce negative externalities or require context-specific resources, making them unsuitable for wider adoption. Social scientists play a critical role in assessing which innovations are viable for scaling in specific agro-climatic zones.
Piloting is a common strategy to test potential scalability, but in practice, pilots often fail to reflect real-world conditions. In India, for instance, many pilots are implemented in well-resourced locations and target farmers with strong connections to extension systems, resulting in skewed outcomes that do not represent average farmers. Consequently, promising results from pilots often do not translate into scalable solutions.
Technology adoption is influenced by multiple stakeholders within the Agriculture Innovation System (AIS). Innovations generate varying benefits for different actors, and without sufficient incentives for key stakeholders, scaling efforts may stall. Policymaking must explicitly address the distribution of gains and losses across the stakeholder ecosystem.
Institutional silos and path dependency further impede scaling. Many agricultural innovations span multiple departments or require inter-institutional collaboration, yet inertia often keeps implementation confined to a single agency. Misframing technologies can also limit adoption. Technologies with significant social benefits but few immediate private gains—such as water-saving irrigation techniques—are less likely to be adopted unless they are framed around tangible benefits for farmers, such as cost savings or convenience.
Farmers’ preference for immediate benefits and resistance to change underscores the importance of innovation bundling. Bundling multiple technologies or combining social and technological innovations can create sufficient incentives for farmers and other stakeholders while also appealing to policymakers. This approach leverages political economy considerations and encourages adoption by aligning multiple interests.
In conclusion, scaling agricultural technologies requires more than technical efficacy or policy endorsement. It demands carefully designed pilots, inclusive stakeholder engagement, appropriate framing, and inter-institutional coordination. Innovations must deliver clear, tangible benefits to farmers and ecosystem actors. Programs like CGIAR’s Scaling for Impact (S4I) aim to bridge the gap between research and real-world needs by combining scientific rigor, strategic partnerships, financial mechanisms, and a focus on inclusivity, providing a pathway for sustainable, scalable innovations across agrifood systems.
