Agricultural innovation in low-income tropical countries contributes to a more effective and sustainable use of natural resources and reduces hunger and poverty through economic development in rural areas. Yet, despite numerous recent public and private initiatives to develop capacities for agricultural innovation, such initiatives are often not well aligned with national efforts to revive existing Agricultural Innovation Systems (AIS).
LenCD has prepared a joint statement on results and capacity development (presented in this publication), which stresses that meaningful, sustainable results are premised on proper investments in capacity development and that these results materialize at different levels and at different times, along countries’ development trajectory. To provide evidence in support of this statement, LenCD launched a call for submission of stories.
This guide is intended to assist facilitators in conducting a workshop with Extension and Advisory Service (EAS) providers for assessing their capacity needs. This guide has been compiled by the Centre for Research on Innovation and Science Policy (CRISP) for AESA with the assistance of a research grant from the Global Forum for Rural Advisory Services (GFRAS).
The main purpose of this study was to institutionally map nanotechnological innovation system of Iranian agriculture by investigating current state of hard and soft institutions regarding functions of the system. This study consisted of qualitative and quantitative phases. In the qualitative part, a thematic content analysis was used to compare the current and desired states of high level laws and documents. The quantitative phase was a descriptive survey.
The objective of this paper is to show how Value Chain Analysis for Development (VCA4D) applied sustainable development concept for value chain analysis to establish a manageable set of criteria allowing to provide quantitative information, which is desperately lacking in many situations in developing economies, usable by decision makers and in line with policymakers concerns and strategies (the “international development agenda”).
The study first identified fully efficient farmers and then estimated technical efficiency of inefficient farmers, identifying their determinants by applying a Zero Inefficiency Stochastic Frontier Model (ZISFM) on a sample of 300 rice farmers from central-northern Thailand. Next, the study developed scenarios of potential production increase and resource conservation if technical inefficiency was eliminated. Results revealed that 13% of the sampled farmers were fully efficient, thereby justifying the use of our approach.
This study aimed to identify the perceptions of farmer community towards the electronic media and relationship between different demographic characteristics of respondents with the use of electronic communication of TV and radio, in Khyber Pakhtunkhwa (KPK), a province of Pakistan. Random sampling technique was used for selecting 183 respondents. Data were analyzed with descriptive statistics and Chi-square
This paper systematically reviews the evidence on what capacities the state requires to leverage agriculture for nutrition in fragile contexts, maintaining a focus on state in South Asia (especially India). It uses the framework of what the state ought to do (in terms of pathways), can do (in relation to parts of the enabling environment it is able to deliver) and is willing to do (addressing constraints in terms of political choices).
Existing studies which have examined the impact of group farming on farm productivity have focused predominantly on former socialist regimes, usually comparing production under various types of collectivised/cooperatized farms with farm enterprises that emerged in the post-reform period, or after decollectivisation. Given this specificity, their experience is at best indicative; it cannot provide substantive lessons on the potential outcomes of group farming in today’s developing countries. This paper seeks to do so.
Most of the existing literature focus on the cultivation of crops and vegetables, and lack relevant research of the Chinese dairy industry. Meanwhile there lacks micro data on adoption of raw milk safety measures by Chinese smallholder dairy farmers in the macro context of changing dairy industry. To fill this gap, a field survey was conducted in Inner Mongolia, which has the largest raw milk production base, dairy enterprises and diversified production types.