دانلود کتاب مداخلات رفتاری و نوآوری در کشاورزی: ​​راهبردهای مبتنی بر شواهد برای پیشبرد پذیرش فناوری

Agriculture is again at a moment of global anxiety—an anxiety reminiscent of the 1960s, when fears of mass hunger helped to trigger the Green Revolution. Today’s concern is not simply about producing more food, but about producing it under harder conditions: shrinking natural resources, increasing climate shocks, growing conflict-driven disruptions, and persistent malnutrition and hunger. At the same time, the global aspiration to end poverty and hunger by 2030 is quickly slipping away with every passing day, and the Sustainable Development Goal 2, Zero Hunger, is unlikely to be met. Against this daunting backdrop, demand for food is projected to rise sharply by mid-century, while many food systems—especially in low- and middle-income countries—remain fragile and unequal. Yet the most puzzling feature of this moment is not the lack of innovation. Agricultural research organisations, national programmes, private firms, and development partners have generated vast pipelines of improved seed varieties, diseasecontrol tools, agricultural practices, and digital services. Indeed, for decades, the dominant challenge has been understood as one of supply: develop agricultural innovations and deliver them efficiently to farmers. But a stubborn reality continues to confront researchers and development practitioners alike: adoption of innovations remains disappointingly low. For many innovations, uptake levels plateau far below what would be required to shift productivity, resilience, nutrition, higher incomes, and poverty at scale. In some cases—particularly for specific crops or varieties—adoption is extremely low, less than 40%, even after substantial investment in promotion, input distribution, and extension. This book begins from that tension: transformative innovations emerge daily, yet the majority languish unused while the problems they could solve persist. What’s breaking down between invention and impact? Our starting point is a simple observation that is now increasingly difficult to ignore: adoption is not only a technical or economic process; it is also one deeply rooted in human behaviour. Farmers and consumers do not make decisions in the ways that standard “perfect rational utility maximising” models often assume. Decisions are, instead, shaped by habits, emotions, trust, social norms, culture, identity, time preferences, and perceptions of risk—especially in environments marked by risk and uncertainty, market constraints, and resource scarcity. These human dimensions are not “noise”, as they tend to be treated; they are often decisive.