"Agroclimatic similarity" variable developed to improve the measurement of the spatial spillover potential of agricultural R&D investments

In 2019-2020, this methodology was further applied in Ghana and Nepal and improved to capture multidimensional "agroclimatic similarity".

Detalles Bibliográficos
Autor principal: CGIAR Research Program on Policies, Institutions, and Markets
Formato: Informe técnico
Lenguaje:Inglés
Publicado: 2020
Materias:
Acceso en línea:https://hdl.handle.net/10568/122134
_version_ 1855526184144601088
author CGIAR Research Program on Policies, Institutions, and Markets
author_browse CGIAR Research Program on Policies, Institutions, and Markets
author_facet CGIAR Research Program on Policies, Institutions, and Markets
author_sort CGIAR Research Program on Policies, Institutions, and Markets
collection Repository of Agricultural Research Outputs (CGSpace)
description In 2019-2020, this methodology was further applied in Ghana and Nepal and improved to capture multidimensional "agroclimatic similarity".
format Informe técnico
id CGSpace122134
institution CGIAR Consortium
language Inglés
publishDate 2020
publishDateRange 2020
publishDateSort 2020
record_format dspace
spelling CGSpace1221342023-03-14T11:59:19Z "Agroclimatic similarity" variable developed to improve the measurement of the spatial spillover potential of agricultural R&D investments CGIAR Research Program on Policies, Institutions, and Markets development rural development methodology measurement systems agrifood systems In 2019-2020, this methodology was further applied in Ghana and Nepal and improved to capture multidimensional "agroclimatic similarity". 2020-12-31 2022-10-06T13:54:05Z 2022-10-06T13:54:05Z Report https://hdl.handle.net/10568/122134 en Open Access application/pdf CGIAR Research Program on Policies, Institutions, and Markets. 2020. "Agroclimatic similarity" variable developed to improve the measurement of the spatial spillover potential of agricultural R&D investments. Reported in Policies, Institutions, and Markets Annual Report 2020. Innovations.
spellingShingle development
rural development
methodology
measurement
systems
agrifood systems
CGIAR Research Program on Policies, Institutions, and Markets
"Agroclimatic similarity" variable developed to improve the measurement of the spatial spillover potential of agricultural R&D investments
title "Agroclimatic similarity" variable developed to improve the measurement of the spatial spillover potential of agricultural R&D investments
title_full "Agroclimatic similarity" variable developed to improve the measurement of the spatial spillover potential of agricultural R&D investments
title_fullStr "Agroclimatic similarity" variable developed to improve the measurement of the spatial spillover potential of agricultural R&D investments
title_full_unstemmed "Agroclimatic similarity" variable developed to improve the measurement of the spatial spillover potential of agricultural R&D investments
title_short "Agroclimatic similarity" variable developed to improve the measurement of the spatial spillover potential of agricultural R&D investments
title_sort agroclimatic similarity variable developed to improve the measurement of the spatial spillover potential of agricultural r d investments
topic development
rural development
methodology
measurement
systems
agrifood systems
url https://hdl.handle.net/10568/122134
work_keys_str_mv AT cgiarresearchprogramonpoliciesinstitutionsandmarkets agroclimaticsimilarityvariabledevelopedtoimprovethemeasurementofthespatialspilloverpotentialofagriculturalrdinvestments