CGIAR Standing Panel on Impact Assessment outputs
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Item Open call for accountability and learning impact studies(Internal Document, 2025-02) Standing Panel on Impact AssessmentItem SPIA Viet Nam Report 2024: Global Ambitions, Sustainable Pathways(Report, 2024-12) Frederic Kosmowski; Simon Chavez; Thanh Binh Le; Ha Thu Nguyen; Phuong Nguyen; Davis Gimode; Monica Biradavolu; Johanne Pelletier; James Stevenson; Sujata VisariaThe report provides a detailed assessment of CGIAR-related agricultural innovations in Viet Nam, building on a previous SPIA study. The study (LINK: https://iaes.cgiar.org/spia/publications/preliminary-insights-adoption-cgiar-related-agricultural-innovations-vietnam) contextualizes Viet Nam’s rapid economic growth and agricultural transformation, emphasizing its strategic importance to CGIAR. Covering diverse domains such as aquaculture, breeding, climate adaptation, mechanization, and sustainable intensification, the research identifies 78 innovations, and 30 policy contributions linked to CGIAR research from 2003 to 2023. Focusing on 19 innovations with high adoption potential, the study employs rigorous methodologies, including data integration with the Viet Nam Household Living Standards Survey (VHLSS), DNA fingerprinting, and geospatial analysis, to quantify adoption rates and profile adopters' socioeconomic characteristics. Among these innovations, 10 were strongly attributed to CGIAR research. The report offers a comprehensive overview of CGIAR’s impact in Viet Nam, focusing on the geographic reach and beneficiaries of its innovations. While significant heterogeneity exists among adopting households, the analysis reveals key patterns, such as the strong association of CGIAR innovations with the rice export sector, the cassava starch industry, and aquaculture markets. It is estimated that 3.7 and 3.9 million Vietnamese households have been reached, indicating a significant potential impact on rural communities and underscoring the enduring influence of CGIAR’s work in Viet Nam. The findings from this study not only highlight CGIAR’s role in Viet Nam’s agricultural sector but also lay a foundation for continuing efforts to monitor, evaluate, and enhance the reach of agricultural innovations in the years to come.Item SPIA Ethiopia Report 2024: Building Resilience to Shocks(Report, 2024-12-19) Solomon Alemu; Alemayehu Ambel; Amit Khanal; Frederic Kosmowski; Stevenson, James R.; Lemi Taye; Asmelash Tsegay; Karen MacoursSince the first SPIA country study report on Ethiopia (Shining a Brighter Light: Comprehensive Evidence on Adoption and Diffusion of CGIAR-Related Innovations in Ethiopia (Kosmowski, F., et al., 2020)) the country has experienced a protracted civil conflict, repeated years of drought, a food security crisis, and the disruptions and shock of the COVID-19 pandemic. In this new report, we provide a unique national-level panel data perspective on the dynamic changes in the reach of agricultural innovations during these challenging times, leveraging the same nationally representative survey approach as we used in the 2020 report. This allows us to look at changes in the adoption and diffusion of agricultural innovations over the period 2018/19 to 2021/22.Item SPIA Briefing Note: Climate Change Mitigation and Adaptation(Brief, 2024-12-04) CGIAR Standing Panel on Impact AssessmentItem SPIA Briefing Note: Environmental Externalities of Agricultural Intensification(Brief, 2024-12-04) CGIAR Standing Panel on Impact AssessmentItem SPIA Briefing Note: CGIAR Research on Mechanization(Brief, 2024-12-04) CGIAR Standing Panel on Impact AssessmentItem SPIA Briefing Note: Targeting of Agricultural Technologies(Brief, 2024-12-04) CGIAR Standing Panel on Impact AssessmentItem SPIA Briefing Note: SPIA Country Studies(Brief, 2024-12-04) CGIAR Standing Panel on Impact AssessmentItem Stocktake document - SPIA Ethiopia Report(Dataset, 2024-11-25) SPIASPIA country-level stocktake of CGIAR-related innovations in Ethiopia, November 2024 version.Item SPIA Fest 2024: Assessing the impacts of international agricultural research: New methods, rigorous evidence, better decisions(Internal Document, 2024-09) CGIAR Standing Panel on Impact AssessmentItem Studying inclusive innovation with the right data: An empirical illustration from Ethiopia(Journal Article, 2024-08) Alemu, Solomon; Kosmowski, Frederic; Stevenson, James R.; Mallia, Paola; Taye, Lemi; Macours, KarenCONTEXT Agricultural innovations are inclusive when they are used by any member of society who wants to use them. Conversely, agricultural innovations that can only be used by a specific privileged group within society can be characterized as “exclusive”. OBJECTIVE The first objective of this paper is to examine the inclusivity of agricultural innovations in Ethiopia, using national representative data and considering a wide portfolio of innovations resulting from the collaborative research between CGIAR and its national partners. Second, we also examine how measurement error may affect how we characterize the inclusivity of agricultural innovations. METHODS We use nationally-representative survey data from Ethiopia (collected in 2018/19) in which best-practice measures of the adoption of a large number of agricultural innovations were embedded, including the adoption of CGIAR-related improved maize varieties measured using two different approaches: subjective, self-reported survey data; and objective DNA fingerprinting of crop samples taken from the same farmers' plots. A rich set of household variables is also collected in the survey, which allows characterizing the types of farmers that are adopting different innovations, and the extent to which conclusions regarding the inclusivity of innovations depends on the measurement of the latter. RESULTS AND CONCLUSIONS Many innovations are not disproportionately more likely to be adopted by male, larger, richer, or more connected farmers. When using self-reported data on adoption of improved maize varieties, adoption appears positively correlated with having larger landholdings and households with lower female participation in agriculture, and negatively correlated with poorer households (being among the bottom 40% of consumption distribution). Substituting survey responses with the results of DNA fingerprinting these correlations disappear, with farm size, gender and poverty status no longer predictive of adoption. SIGNIFICANCE The results suggest the potential value of offering a menu of innovations to farmers to increase inclusivity, as it allows each farmer to be a critical consumer of potential innovations and select those that best correspond to their own needs and constraints. We also highlight how important data quality is in ensuring we have correct information about inclusive innovation.Item Guidance note: Carrying out a country-level stocktake(Manual, 2023-12) Standing Panel on Impact AssessmentThis guidance note is intended for use by teams preparing an Expression of Interest (EoI) in response to SPIA’s December 2023 open call on country-level studies. The goal is to explain what we mean by a stocktake of CGIAR innovations – one of the core deliverables of each SPIA country-level study – and provide some insight into the methods and level of effort required to produce one. More detailed methodological guidance will be made available in mid-2024 to support those teams invited to develop full proposals.Item SPIA operational model and workplan (2023 – 2030)(Report, 2023-05) CGIAR Standing Panel on Impact AssessmentAt the 17th System Council (SC) meeting, SC members endorsed the Standing Panel on Impact Assessment (SPIA) working with SIMEC to bring a recommendation back about addressing SPIA’s capacity needs to enable SPIA to fulfill its mandate. Following two meetings with SIMEC, on February 7 and March 2, 2023, this document sets out a proposal for a new operational model and workplan & budget (2023 – 2030) for SPIA, a proposal to allow a flexible funding mechanism, as well as updated Terms of Reference, to respond to new asks from System Council members to SPIA and to ensure adequate and appropriately configured capacity to enable SPIA to fulfill its mandate.Item Ghi nhận các sáng kiến của CGIAR trong Nông nghiệp tại Việt Nam: Kết quả sơ bộ(Report, 2023-10) CGIAR Standing Panel on Impact AssessmentItem SPIA update on progress on Strengthening Culture of Impact Assessment in CGIAR, 2021-2023(Report, 2023-01) CGIAR Standing Panel on Impact AssessmentItem Preliminary Insights into the Adoption of CGIAR-Related Agricultural Innovations in Vietnam(Report, 2023-09) Kosmowski, Frederic; Bach, Thao; Nguyen, Oanh; Stevenson, James R.; Visaria, SujataOver the past two decades, Vietnam’s GDP per capita has grown ninefold. Concurrently, its agricultural sector has transformed to a strong commercial orientation. At the same time that the share of agriculture in GDP fell from 24.5 percent to 12.6 percent, agricultural value-added grew sixfold from USD 7.5 bn to USD 46 bn (World Bank, 2022). This suggests that Vietnam could provide contemporary insights into agricultural innovation coinciding with – and possibly contributing to – economic growth. Vietnam is also a high-priority country for CGIAR research. Since 2021, the Standing Panel on Impact Assessment (SPIA) has been conducting a country study of the impact of CGIAR-related agricultural innovations in Vietnam. As in the other countries where this country-level approach was pioneered and developed, this process began with desk research and key informant interviews to generate a stocktake or information about all CGIAR-related innovations that may have been disseminated or adopted at scale. From a longlist of 79 innovations across multiple domains, the SPIA Vietnam team found indications that 18 may have diffused at scale.Item Program Final(Conference Paper, 2017-06) CGIAR Standing Panel on Impact AssessmentItem Participant List(Conference Paper, 2017-06) CGIAR Standing Panel on Impact AssessmentItem Remote Sensing for Impact Evaluation of Agriculture and Natural Resource Management Research: Guidelines for Use in One CGIAR(Report, 2023-08) CGIAR Standing Panel on Impact AssessmentItem Revisiting the size–productivity relationship with imperfect measures of production and plot size(Journal Article, 2024-03) Ayalew, Hailemariam; Chamberlin, Jordan; Newman, Carol; Abay, Kibrom A.; Kosmowski, Frederic; Sida, TesfayeMonitoring smallholder agricultural productivity growth, one of the targets of the Sustainable Development Goals, rests on accurate measures of crop production and land area. Existing methods and protocols for measuring smallholder production and plot size are prone to various sources and forms of mismeasurement. Inaccuracies in production and land area measurement are likely to distort descriptive and predictive inferences. We examine the sensitivity of empirical assessments of the relationship between agricultural productivity and land area to alternative measurement protocols. We implement six production and six land area measurement protocols, and show that most of these protocols differ systematically in their accuracy. We find that an apparent inverse size–productivity relationship in our data is fully explained by measurement error in both production and plot size. Moreover, we show that some of the previously used “gold standard” measures are themselves prone to nonclassical measurement error, and hence can generate spurious inverse size–productivity findings. Our results also show that slight improvements in the precision of objective measures significantly reduce the inferential bias associated with the size–productivity relationship.