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Building resilience for food systems in postwar communities
Prolonged civil wars can have long-lasting adverse effects on food systems, leading to poverty and food insecurity. Overcoming food insecurity and land inequality is particularly difficult because of the highly politicized nature of conflict. This paper builds on the existing literature on food sovereignty to ensure sustainable livelihoods and community ownership of a resilient food system. We identify components of community food security to be strengthened in a post war reconstruction context. We study the impacts of the civil war on food and land administration systems, farmer struggles and current transitional justice process in relation to community food security in the Northern and Eastern Provinces in Sri Lanka and identify the technological, institutional, organizational, and infrastructural setbacks caused by conflict. It explores how such setbacks could be rectified and a resilient food system could be built in the postwar scenario.
Contracting by small farmers in commodities with export potential
This study is undertaken to quantify the benefits of contract farming (CF) on farmers’ income in a case where new market opportunities are emerging for smallholder farmers in Nepal. CF is emerging as an important form of vertical coordination in the agrifood supply chain. The prospect for CF in a country like Nepal with accessibility issues, underdeveloped markets, and a lack of amenities remains ambiguous. Contractors find it difficult to build links in these cases, particularly when final consumers have quality and safety requirements. However, a lack of other market opportunities makes the contracts more sustainable. The latter happens if there are product-specific quality advantages be...
A dynamic spatial model of agricultural price transmission
Spatial interactions are essential drivers of price transmission mechanisms and may significantly affect any food’s policy outcomes. However, spatial aspects seem to be generally overlooked when analyzing price transmission. This paper attempts to fill this gap by highlighting the usefulness of spatial interaction and models for market integration analysis. A spatial dynamic panel datamodel is presented and applied to Niger’s millet market. Empirical results show that (1) the millet market is partly integrated, (2) locally traded commodities (millet and sorghum) are linked by a cross-commodity price transmission, (3) most imported cereals prices, which for Niger is maize and rice, did not affect the millet market, and (4) no cross-regions price transmissionoccurred for the millet market.
Intrahousehold preference heterogeneity and demand for labor-saving agricultural technology: The case of mechanical rice transplanting in India
Evaluations of agricultural technologies rarely consider how adoption may alter the labor allocation of different household members. We examine intrahousehold decision-making dynamics that shape smallholder agricultural households' decision to hire in mechanical rice transplanting (MRT), a technology that reduces demand for labor. To study the adoption decision, we employ an experimental approach to estimating the willingness-to-pay for MRT services, both at the level of individual men and women within the same households, as well as at the overall household level. We find that women value MRT more than men, but this difference in valuation is not driven by differences in their individual ch...
Revitalized agriculture for balanced growth and resilient livelihoods: Toward a rural development strategy for Mon State
This report offers specific policy and investment options articulated around two broad areas: (1) stimulating growth in agriculture and sustainable management of fisheries and (2) providing public infrastructure and services that strengthen the enabling environment. A plan to stimulate growth in agriculture and fisheries, the first broad area, could be centered around the following set of goals: revitalize the rubber sector, develop high-value fresh products, improve rice productivity, modernize land and input markets, expand access to loans for machinery and seasonal input purchases, strengthen agricultural extension services to ensure dynamism in Mon State’s farm sector, improve manageme...
Computational Modeling of Signaling Networks
This volume focuses on the computational modeling of cell signaling networks and the application of these models and model-based analysis to systems and personalized medicine. Chapters guide readers through various modeling approaches for signaling networks, new methods and techniques that facilitate model development and analysis, and new applications of signaling network modeling towards systems and personalized treatment of cancer. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and methods, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols. Authoritative and cutting-edge, Computational Modeling of Signaling Networks aims to benefit a wide spectrum of readers including researchers from the biological as well as computational systems biology communities.
Increasing the adoption of conservation agriculture: A framed field experiment in Northern Ghana
Conservation agriculture techniques can increase agricultural production while decreasing CO2 emissions, yet adoption in the developing world remains low—in part because many years of continuous adoption may be required to realize gains in production. We conduct a framed field experiment in northern Ghana to study how randomly assigned incentives and peer information may affect adoption. Incentives increase adoption, both while they are available and after withdrawal. There is no overall effect of peer information, but we do find evidence that information about long-term adoption increased adoption, particularly when that information shows that production gains have been achieved.
