Leveraging spatial econometrics for enhanced impact assessment: Insights from agricultural innovation

This learning note explores spatial econometrics as a key tool in impact assessment for agricultural innovation. By accounting for geographic, social, and economic proximities, spatial econometrics enhances causal analysis and tailors interventions across diverse locations. Used at the Alliance with...

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Bibliographic Details
Main Authors: Song, Chun, Urbani, Ilaria
Format: Brief
Language:Inglés
Published: 2024
Subjects:
Online Access:https://hdl.handle.net/10568/158479
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author Song, Chun
Urbani, Ilaria
author_browse Song, Chun
Urbani, Ilaria
author_facet Song, Chun
Urbani, Ilaria
author_sort Song, Chun
collection Repository of Agricultural Research Outputs (CGSpace)
description This learning note explores spatial econometrics as a key tool in impact assessment for agricultural innovation. By accounting for geographic, social, and economic proximities, spatial econometrics enhances causal analysis and tailors interventions across diverse locations. Used at the Alliance with biophysical and socio-economic models, it supports geo-targeting and scaling of agricultural innovations, enabling more reliable, location-sensitive assessments. Part of the MELIAF series, this note underscores spatial econometrics’ role in refining impact evaluations.
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spelling CGSpace1584792025-11-05T12:27:19Z Leveraging spatial econometrics for enhanced impact assessment: Insights from agricultural innovation Song, Chun Urbani, Ilaria impact assessment agricultural development spatial analysis geographical information systems-gis This learning note explores spatial econometrics as a key tool in impact assessment for agricultural innovation. By accounting for geographic, social, and economic proximities, spatial econometrics enhances causal analysis and tailors interventions across diverse locations. Used at the Alliance with biophysical and socio-economic models, it supports geo-targeting and scaling of agricultural innovations, enabling more reliable, location-sensitive assessments. Part of the MELIAF series, this note underscores spatial econometrics’ role in refining impact evaluations. 2024-10-01 2024-11-04T09:40:35Z 2024-11-04T09:40:35Z Brief https://hdl.handle.net/10568/158479 en Open Access application/pdf Song, C.; Urbani, I. (2024) Leveraging spatial econometrics for enhanced impact assessment: Insights from agricultural innovation. Learning Note No. 2 – Quantitative Studies. 2 p.
spellingShingle impact assessment
agricultural development
spatial analysis
geographical information systems-gis
Song, Chun
Urbani, Ilaria
Leveraging spatial econometrics for enhanced impact assessment: Insights from agricultural innovation
title Leveraging spatial econometrics for enhanced impact assessment: Insights from agricultural innovation
title_full Leveraging spatial econometrics for enhanced impact assessment: Insights from agricultural innovation
title_fullStr Leveraging spatial econometrics for enhanced impact assessment: Insights from agricultural innovation
title_full_unstemmed Leveraging spatial econometrics for enhanced impact assessment: Insights from agricultural innovation
title_short Leveraging spatial econometrics for enhanced impact assessment: Insights from agricultural innovation
title_sort leveraging spatial econometrics for enhanced impact assessment insights from agricultural innovation
topic impact assessment
agricultural development
spatial analysis
geographical information systems-gis
url https://hdl.handle.net/10568/158479
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AT urbaniilaria leveragingspatialeconometricsforenhancedimpactassessmentinsightsfromagriculturalinnovation