This paper investigates Innovation Systems Concepts and Principles starting with an historical perspective. Then it analyzes their application to Integrated Agricultural Research for Development (IAR4D) and makes a comparison between the traditional Research and Development Systems Approaches and the Innovation Systems Approach.
Whereas Irish potato (Solanum tuberosum) is a major staple food in many countries, it is one of the priority value chain crops under the Rwanda’s Crop Intensification Program (CIP). The crop is more important in the northern and northwestern than other parts of Rwanda. After plantain and cassava, potato is the third most important staple cultivated by 52.9% of the households in Rwanda.
Innovation intermediaries are individuals and organisations that enhance connectivity amongst constituencies of national, sectoral, and regional systems of innovation, thereby facilitating knowledge spillover. This paper articulates the whole picture of Indonesia's agricultural innovation system, with a special focus on how different innovation intermediaries play different roles in technology transfer and knowledge dissemination.
Con el objetivo de proponer lineamientos conceptuales para un sistema de innovación y co-producción de tecnología a fin de coadyuvar en la planeación, evaluación y fortalecimiento institucional de la extensión rural en la Ciudad de México (cdmx), se evaluó la experiencia de 35 campesinos, 7 extensionistas, 3 funcionarios de gobierno y 2 coordinadores de una organización Sistema-Producto en Milpa Alta, Xochimilco y Tláhuac, durante 2015.
Classical innovation adoption models implicitly assume homogenous information flow across farmers, which is often not realistic. As a result, selection bias in adoption parameters may occur. We focus on tissue culture (TC) banana technology that was introduced in Kenya more than 10 years ago. Up till now, adoption rates have remained relatively low.
Most micro-level studies on the impact of agricultural technologies build on cross-section data, which can lead to unreliable impact estimates. Here, we use panel data covering two time periods to estimate the impact of tissue culture (TC) banana technology in the Kenyan small farm sector. TC banana is an interesting case, because previous impact studies showed mixed results. We combine propensity score matching with a difference-in-difference estimator to control for selection bias and account for temporal impact variability.