Good will hunting: Challenges of theory-based impact evaluations for climate investments in a multilateral setting

Puri, Jyotsna, Rastogi, Archi, Prowse, Martin ORCID: https://orcid.org/0000-0002-1271-468X and Asfaw, Solomon (2020) Good will hunting: Challenges of theory-based impact evaluations for climate investments in a multilateral setting. World Development, 127. ISSN 0305-750X

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Abstract

In 2018, the Green Climate Fund (GCF) initiated a multi-year Learning-Oriented Real-Time Impact Assessment (LORTA) programme to understand what works in climate interventions, for whom, how much and why. LORTA supports quality data collection, learning and causal impact measurement. It requires leadership from project teams alongside an openness by management to build measurement structures and learning into their decision making. We highlight the institutional dynamics and challenges encountered when institutionalizing LORTA within the GCF ecosystem of international and national actors. These challenges may also apply in other multilateral settings.

Item Type:	Article
Uncontrolled Keywords:	climate finance,evidence,impact evaluation,multilateral,rcts,real-time,theory of change,geography, planning and development,development,sociology and political science,economics and econometrics,sdg 13 - climate action ,/dk/atira/pure/subjectarea/asjc/3300/3305
Faculty \ School:	Faculty of Social Sciences > School of Global Development (formerly School of International Development)
Related URLs:	http://www.scopus.com/inward/record.url?...
Depositing User:	LivePure Connector
Date Deposited:	24 Jul 2020 23:44
Last Modified:	03 Jul 2023 14:30
URI:	https://ueaeprints.uea.ac.uk/id/eprint/76268
DOI:	10.1016/j.worlddev.2019.104784

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