This paper is based on the 8th GLOBELICS International Conference: Making Innovation Work for Society (1 - 3 November 2010, University of Malaya, Kuala Lumpur, Malaysia). The paper presents three projects of the Research Into Use Program, located in South asia, which are applying three agriculture value chain development oriented knowledge for wider use. Practical aspects of the process and roles played by different types of ageincies in the innovation are discussed.
This paper analyzes the status of Pakistan’s agriculture in the world and quantifies the potential of improving productivity and quality of value chain at its different nodes. A great potential of expansion in the value chain of large number of agricultural commodities produced in Pakistan are observed. Just bringing the average crop yield levels at par to the world average yield can generate over US$11 billion additional revenues to the producers. Despite lower yield, majority of commodities have lower prices compared to the world average prices at the farmgate.
Based on three rounds of panel data (2007, 2009, and 2012) on indigenous households, this study assessed the impacts of Integrated Aquaculture-agriculture value chain participation on the welfare of marginalized poor indigenous rural households in Bangladesh. We also examined the distributional impacts of IAA value chain
Since the entry into force of the Cartagena Protocol on Biosafety in 2003, concerted efforts have focused on mobilizing international assistance to help developing countries build their institutional capacities in biosafety and meet their obligations under the treaty. The FAO Regional Office for Asia and the Pacific, in cooperation with the Government of Thailand, launched “Asian BioNet” – a regional initiative on capacity building in biosafety of genetically modified (GM) crops in Asia.
This paper, using Thailand as a case study, aims at understanding the national innovation system (NIS) in developing countries which are less successful in technological catching-up. In contrast to developed countries, the development level of Thailand’s NIS does not link to its economic structural development level. As Thailand moves from agricultural to an increasingly industrial economy, its NIS remains weak and fragmented. The mismatch between the two affected Thailand’s competitiveness and partially contributed to the recent economic crisis.
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 paper synthesizes Component 2 of the Regoverning Markets Programme. It is based on 38 empirical case studies where small-scale farmers and businesses connected successfully to dynamic markets, doing business with agri-processors and supermarkets. The studies aimed to derive models, strategies and policy principles to guide public and private sector actors in promoting greater participation of small-scale producers in dynamic markets. This publication forms part of the Regoverning Markets project.
This report summarizes the findings of the study on Competitive Commercial Agriculture for Africa (CCAA). The objective of the CCAA study was to explore the feasibility of restoring international competitiveness and growth in African agriculture through the identification of products and production systems that can underpin rapid development of a competitive commercial agriculture.
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.