This paper provides a snapshot of the agriculture-nutrition nexus in the region, outlines the pathways through which agriculture can influence nutrition outcomes, elaborates on the objectives of the Leveraging Agriculture for Nutrition in South Asia (LANSA) research consortium within this context, and highlights the core findings of the six papers that form the body of this Special Issue. The paper ends with five key lessons that have emerged from this research, during this decade
Developing regions' food system has transformed rapidly in the past several decades. The food system is the dendritic cluster of R&D value chains, and the value chains linking input suppliers to farmers, and farmers upstream to wholesalers and processors midstream, to retailers then consumers downstream. This study analyze the transformation in terms of these value chains' structure and conduct, and the effects of changes in those on its performance in terms of impacts on consumers and farmers, as well as the efficiency of and waste in the overall chain.
Esta obra se base en los conocimientos y las experiencias de un grupo de administradores y evaluadores de 12 organizaciones, tanto nacionales como internacionales, que llevaron a cabo una serie de estudios de evaluación en Bangadesh, Cuba, Ghana, Nicaragua, Filipinas y Vietnam.
This flyer describes a project that used a market-driven science approach to ensure quick uptake by rural women and succeeded in establishing a self-sustaining value chain, from improved breeding and husbandry practices to production of world-class yarns and appealing products, linked to export markets
Conflicts of interests have been hypothesized when agricultural advisory services are connected to agri-input businesses. However, these have not been examined using large sets of advisory service and grower data. We provide quantitative insights into dependencies between service, crop production, sustainability and the level of agri-input business-linkage of extension workers. This study analyzed 34,000+ prescription forms (recommendations) issued to growers in China, as well as grower interview data.
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.
The purpose of this research was to investigate factors influencing agricultural personnel and consultants’ attitude and behavioral intention to use precision agricultural technologies. The survey research and multistage random sampling were used to collect data from 183 agricultural consultants in Agricultural Engineering and Technical Consulting Services Companies in Iran
The present research aimed at investigating the effect of communication channels on the economic success of early profitable and entrepreneur small and medium enterprises in the agricultural sector. It was an applied research in which the descriptive-survey method was used. The research sample included 356 founders of entrepreneur small and medium enterprises (at the time of conducting the research) in the Markazi province, Iran, among which 100 founders were selected according to the Cochran formulation using the stratified random sampling method.
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
In this paper, the authors describe the adaptation and validation of a project-level WEAI (or pro-WEAI) that agricultural development projects can use to identify key areas of women’s (and men’s) disempowerment, design appropriate strategies to address identified deficiencies, and monitor project outcomes related to women’s empowerment. The 12 pro-WEAI indicators are mapped to three domains: intrinsic agency (power within), instrumental agency (power to), and collective agency (power with). A gender parity index compares the empowerment scores of men and women in the same household.