Quantitative foresight modeling to inform the CGIAR research portfolio

This report provides a quantitative assessment of the impacts of alternative investment options on the CGIAR’s SLOs (relating to poverty – SLO1, food and nutrition security – SLO2, and natural resources and ecosystem services – SLO3) in the context of changes in population, income, technology, and c...

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Autores principales:	Rosegrant, Mark W., Sulser, Timothy B., Mason-D'Croz, Daniel, Cenacchi, Nicola, Nin-Pratt, Alejandro, Dunston, Shahnila, Zhu, Tingju, Ringler, Claudia, Wiebe, Keith D., Robinson, Sherman, Willenbockel, Dirk, Xie, Hua, Kwon, Ho Young, Johnson, Timothy, Thomas, Timothy S., Wimmer, Florian, Schaldach, Rüdiger, Nelson, Gerald C., Willaarts, Barbara, Alene, A., Amovin-Assagba, E., Aw-Hassan, A., Bantilan, C., Chan, Chin Yee, Dermawan, A., Enahoro, D., Fadiga, M., Fiamohe, R., Frija, A., Gbegbelegbe, Sika, Gotor, E., Hareau, G., Kikulwe, E., Kruseman, G., Marshall, M., Mohanty, S., Mottaleb, K. A., Nedumaran, S., Petsakos, A., Pradel, W., Prager, Steven D., Regmi, A., Setiyono, T. D., Sood, A., Staal, S., Suryadarma, D., Tesfaye Fantaye, K., Tran, Nhuong, Villholth, K.
Formato:	Informe técnico
Lenguaje:	Inglés
Publicado:	International Food Policy Research Institute 2017
Materias:	natural resources mathematical models investment nutrition research programmes food security poverty ecosystem services
Acceso en línea:	https://hdl.handle.net/10568/148186