In this chapter the authors compute measures of total factor productivity (TFP) growth for developing countries and then contrast TFP growth with technological capital indexes. In developing these indexes, the authors incorporate schooling capital to yield two new indexes: Invention-Innovation Capital and Technology Mastery. They find that TFP performance is strongly related to technological capital and that technological capital is required for TFP and cost reduction growth.
The paper discusses the work force development (Wfd) tool that places explicit focus on three functional dimensions of Wfd policies and institutions: (a) strategy; (b) system oversight; and (c) service delivery. Strategy refers to the alignment between workforce development and a country’s national goals for economic and social development. System oversight refers to the governance arrangements that shape the behaviors key stakeholders involved, including individuals, employers, and training providers.
This paper has been prepared under the guidelines provided by the TAP Secretariat at the FAO, as a contribution to the G20 initiative TAP, which includes near 40 partners and is facilitated by FAO. Its purpose is to provide a Regional synthesis report on capacity needs assessment for agricultural innovation, with capacity gaps identified and analyzed, including recommendations to strengthen agricultural innovation systems (AIS) and draft policy recommendations to address the capacity gaps.
Innovation system approach offers an holistic, multidisciplinary and comprehensive framework for analyzing innovation process, the roles of science and technology actors and their interactions, emphazing on wider stakeholder participation, linkages and institutional context of innovation and processes. This paper was aimed to: 1. review the concept of innovation system; 2. appraise the application to agriculture and its relevance and 3. analyze the policy implications for agricultural extension delivery in Nigeria.
This document summarizes the insights of YPARD young professionals and their opinions on AIS. In particular, the document refers to the YPARD e-discussion, which was held in September 2012 and raised the concern of the impact of the global economic recession and climate change on agriculture. This could lead to declining agricultural productivity, and low production further impacts the declining interest of youth in Agricultural activities.
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.
This study examines the role of public–private partnerships in international agricultural research. It is intended to provide policymakers, researchers, and business decisionmakers with an understanding of how such partnerships operate, how they promote the exchange of knowledge and technology, and how they contribute to poverty reduction.
The project “Strengthening Community Resilience to Change: Combining Local Innovative Capacity with Scientific Research” (CLIC–SR), supported by the Rockefeller Foundation, was completed on 31 August 2016. During the four years since 2012, the Prolinnova Country Platforms in Ethiopia, Kenya, Tanzania and Uganda made large strides in:
Rationale Documentation is a vital part of CDAIS project’ objective to test the theory of change in pilot countries because it will enable to record the process of capacity development in agricultural innovation systems. At the same time, documentation will help CDAIS in delivering on public information targets, complying with requirements of its main donor and provide material for communication for development.
The capacity of existing monitoring and decision making tools in generating evidence about the performance of R4D with multi-stakeholder processes, such as innovation platforms (IPs), public private partnerships (PPP), participatory value chain management (PVCM) is very limited. Results of these tools are either contextual and qualitative such as case studies that can not be used by other R4D interventions or quantitative i.e. impact assessments that do not inform what works in R4D.