Canvas of Change brings you stories from Phase 3 of the Katalyst and presents the positive impact that this project is achieving.
USAID/CINSERE (Services d’information climatiques pour améliorer la résilience et la productivité au Sénégal) est un projet de 4 ans qui vise à renforcer les capacités nationales pour la production, l’accès et la diffusion efficiente d’informations météorologiques et climatiques (IMC) et à développer des stratégies pour une mise à l’échelle durable de l’utilisation des services d’information météorologiques et climatiques (SIC) sur toute l’étendue du territoire sénégalais.
This study examines the influence of farmers’ social capital on their decisions to deal with climate change and climate variability in Burkina Faso. The study is based on a household survey conducted among 450 households, randomly selected from three communities in Burkina Faso.
After years of neglect, there is a renewed interest in agricultural mechanization in Africa. Since government initiatives to promote mechanization are confronted with major governance challenges, private-sector initiatives may offer a promising alternative. However, given limited scientific studies on such private-sector options such approaches are often viewed skeptically. One concern is that multi-national agribusiness companies take advantage of smallholder farmers. Another concern is that mechanization causes rural unemployment.
In the context of an exponential rise in access to information in the last two decades, this special issue explores when and how information might be harnessed to improve governance and public service delivery in rural areas. Information is a critical component of government and citizens’ decision-making; therefore, improvements in its availability and reliability stand to benefit many dimensions of governance, including service delivery.
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.
We present a model for research and development (R&D) investment in food innovations based on new plant engineering techniques (NPETs) and traditional hybridization methods. The framework combines uncertain and costly food innovation with consumers' willingness to pay (WTP) for the new food. The framework is applied with elicited WTP of French and US consumers for new improved apples. NPETs may be socially beneficial under full information and when the probability of success under NPETs is relatively high. Otherwise, the traditional hybridization is socially optimal.
This research note explains the results of social experiment designed with three primary objectives. These include (1) to mitigate the digital divide concerning the accessibility of forecasted weather information and crop advisories for women farmers in Bangladesh and (2) to assess the potential impact of a digital climate advisory tool on the agricultural practices of climate-smart agriculture facilitated by digital advisory tools for stakeholders in the value chain, such as microfinance institutions offering crop loans in areas facing higher weather-related risks.
Esta presentación muestra una solución sostenible para los pequeños productores y las familias rurales, particularmente por medio de nuevas tecnologías.
This study, competitiveness of the value chain of the agricultural sector in Cameroon, aims to help the Government achieve its objectives for the rural sector. The main objective of this study was to provide information on the potentials, investment and growth policies of commercial agriculture in Cameroon. It gives an overview of the constraints and analyzes the national, regional or international competitiveness of six value chains of the agricultural sector. This paper examines family and large agro-industrial farms from different regions of Cameroon.