Policy makers, analysts, and civil society face increasing challenges to reducing hunger and sustainably improving food security. Modeling alternative future scenarios and assessing their outcomes can help inform policy choices.
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Policy makers, analysts, and civil society face increasing challenges to reducing hunger and sustainably improving food security. Modeling alternative future scenarios and assessing their outcomes can help inform policy choices.
Policy makers, analysts, and civil society face increasing challenges to reducing hunger and sustainably improving food security. Modeling alternative future scenarios and assessing their outcomes can help inform policy choices.
Policy makers, analysts, and civil society face increasing challenges to reducing hunger and sustainably improving food security. Modeling alternative future scenarios and assessing their outcomes can help inform policy choices.
Policy makers, analysts, and civil society face increasing challenges to reducing hunger and sustainably improving food security. Modeling alternative future scenarios and assessing their outcomes can help inform policy choices.
Policy makers, analysts, and civil society face increasing challenges to reducing hunger and sustainably improving food security. Modeling alternative future scenarios and assessing their outcomes can help inform policy choices.
This data is from a study conducted on informal food retail in three of Ghana’s cities – Accra, Kumasi and Tamale.
This data is from a study conducted on informal food retail in two of Nigeria’s secondary cities, Calabar and Minna.
Policy makers, analysts, and civil society face increasing challenges to reducing hunger and improving food security in a sustainable way. Modeling alternative future scenarios and assessing their outcomes can help inform their choices.
Policy makers, analysts, and civil society face increasing challenges to reducing hunger and improving food security in a sustainable way. Modeling alternative future scenarios and assessing their outcomes can help inform their choices.
Policy makers, analysts, and civil society face increasing challenges to reducing hunger and improving food security in a sustainable way. Modeling alternative future scenarios and assessing their outcomes can help inform their choices.
Policy makers, analysts, and civil society face increasing challenges to reducing hunger and improving food security in a sustainable way. Modeling alternative future scenarios and assessing their outcomes can help inform their choices.
Policy makers, analysts, and civil society face increasing challenges to reducing hunger and improving food security in a sustainable way. Modeling alternative future scenarios and assessing their outcomes can help inform their choices.
The 2006 Social Accounting Matrix (SAM) for Rwanda represents the structure of Rwandan economy and the links among various production activities, income distribution, household consumption of goods and services, savings and investments, and foreig
This dataset is the baseline survey for the impact evaluation of the World Bank-funded program: the PSAOP (Programme de Services Agricoles et Organisations de Producteurs) in Senegal.
This dataset is the baseline survey for the impact evaluation of the World Bank- funded program: PNDSA II (Programme National de Services Agricoles) in Burkina Faso.
The Zambia Social Accounting Matrix (SAM) attempts to reflect the specific structure of the Zambian economy, by disaggregating the SAM's accounts across various activities, commodities, production factors, and households.
The 1998 Paraguay Social Accounting Matrix (SAM) is based on the 1997-98 integrated household surveys, the matrix for intermediate demand by the Central Bank of Paraguay (CBP), the final demand matrix and total supply matrix constructed also by th
Following the second half of the 80's and all along the 90's, significant changes occurred in the Uruguayan economy, rendering previously constructed SAMs unsuitable for use in economic analysis.