PD Dr. Khalid Siddig evaluiert Investitionsprogramme im Agrarsektor und entwickelt dabei Schulungs- und Beratungsformate für Fachkräfte und politische Entscheidungsträger. Seine aktuelle Arbeit konzentriert sich auf die Bewertung von Agrarfördermaßnahmen in Westafrika (Benin), um deren Wirksamkeit zu prüfen und Erkenntnisse in praktische Handlungsempfehlungen für Regierungen und Entwicklungsorganisationen zu übersetzen. Damit unterstützt er öffentliche Institutionen und internationale Geber bei der evidenzgestützten Gestaltung von Landwirtschaftspolitik und Kapazitätsentwicklung.
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PD Dr. Khalid Siddig
HU-FIS-Profil ↗Global Food Security · DOI
This paper analyzes the implications of the Russian-Ukraine war on global and regional food security. We start with a global vulnerability analysis to identify most vulnerable regions and countries. The Middle East and North Africa (MENA) region is particularly vulnerable to trade shocks because of its high food import dependence. Thus, we provide descriptive evidence characterizing how food systems and policies impact vulnerability to the price shock in selected MENA countries: Egypt, Sudan, and Yemen. Within these countries, we show that the crisis will differentially impact poor and non-poor households as well as rural and urban households. Although the absolute level of food insecurity may still be higher in rural areas where larger numbers of poor households are located, urban poor are likely to suffer most because of the Russia-Ukraine crisis and associated hikes in food prices, especially in those countries where social protection and food subsidies are missing. We review lessons from previous food crises and identify actions needed to take (and to avoid) to protect most vulnerable countries and households in the short-term while also highlighting long-term policy options to diversify food, fertilizer and energy production and trade.
Agricultural Finance Review · DOI
Purpose The purpose of this paper is to analyze determinants of farmers’ participation and credit rationing in microcredit programs using survey data from Ghana. Design/methodology/approach The authors use the Garrett Ranking Technique to analyze farmers’ reasons for participation or non-participation in credit programs, a probit regression model to estimate factors influencing farm households’ participation, and the Heckman’s sample selection model to identify factors influencing farm households’ probability of being credit rationed by microcredit programs. Findings The results reveal that farm households participate in credit programs because of improved access to savings services and agricultural loans. Fear of loan default and lack of savings are reasons for non-participation in credit programs. Furthermore, membership in farmer-based organizations (FBOs) and the household head’s formal education are positively associated with farmers’ participation in credit programs. The likelihood of farmers being credit rationed (i.e. their loan applications were either rejected or the amount of credit they applied for was reduced) is less likely among higher income farmers and members of FBOs such as farmer cooperatives and savings clubs. Practical implications The findings suggest that policy strategies aiming to improve access to savings and credit services should educate farmers and strengthen FBOs that could serve as entry points for financial service providers. Such market smart strategies have the potential to improve farmers’ access to financial services and reduce rural poverty. Originality/value Although existing studies have examined farmers’ participation in credit markets and credit rationing separately, the unique contribution of this paper is the analysis of participation in microcredit programs as well as the likelihood of farmers being credit rationed in Ghana.
Nature Communications · DOI
The landscape of water infrastructure in the Nile Basin is changing with the construction of the Grand Ethiopian Renaissance Dam. Although this dam could improve electricity supply in Ethiopia and its neighbors, there is a lack of consensus between Ethiopia, Sudan, and Egypt on the dam operation. We introduce a new modeling framework that simulates the Nile River System and Egypt's macroeconomy, with dynamic feedbacks between the river system and the macroeconomy. Because the two systems "coevolve" throughout multi-year simulations, we term this a "coevolutionary" modeling framework. The framework is used to demonstrate that a coordinated operating strategy could allow the Grand Ethiopian Renaissance Dam to help meet water demands in Egypt during periods of water scarcity and increase hydropower generation and storage in Ethiopia during high flows. Here we show the hydrological and macroeconomic performance of this coordinated strategy compared to a strategy that resembles a recent draft proposal for the operation of the dam discussed in Washington DC.