A global database of public agricultural R&D investment: 1960-2022

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This paper presents the GRAPE database, containing 1960-2022 data on public agricultural researcher numbers and expenditures for 190 countries, compiled from harmonized sources and imputed data.

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This paper studied long-term trends in public agricultural research and development by constructing GRAPE, a global database covering 190 countries for the period 1960–2022, with data on the number of public agricultural researchers and R&D expenditures. The authors combined information from many sources, harmonized differing R&D classifications, and imputed missing data to enable comparable time-series analysis. A key caveat is that the dataset relies on extensive data integration and imputation across sources, which can introduce uncertainty into cross-country comparability. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Abstract Investment in public agricultural R&D is a key driver of agricultural productivity, which is regarded as one of the major solutions to enhance global food security, reduce the environmental impact of agricultural production and enhance crop resilience to climate change. Detailed information on public agricultural R&D investment is required to inform national science and technology policies that aim to improve the performance of the agricultural sector and monitor whether countries are on track to reach (inter)national targets. Due to the long lead-time, it requires exceptionally long time-series to assess the impact of public agricultural R&D spending on present and future agricultural productivity. To address these issues, this paper presents GRAPE - the WUR-ERS Global Research on Agriculture: Personnel & Expenditures database, which contains data on the number of public agricultural researchers and R&D expenditures for 190 countries, broadly covering the period 1960-2022. To construct the database, information from a large number of sources was combined, different R&D classifications were harmonized and missing data were imputed.
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Heisey, Haiyan Deng This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6463998/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 02 Jul, 2025 Read the published version in Scientific Data → Version 1 posted You are reading this latest preprint version Abstract Investment in public agricultural R&D is a key driver of agricultural productivity, which is regarded as one of the major solutions to enhance global food security, reduce the environmental impact of agricultural production and enhance crop resilience to climate change. Detailed information on public agricultural R&D investment is required to inform national science and technology policies that aim to improve the performance of the agricultural sector and monitor whether countries are on track to reach (inter)national targets. Due to the long lead-time, it requires exceptionally long time-series to assess the impact of public agricultural R&D spending on present and future agricultural productivity. To address these issues, this paper presents GRAPE - the WUR-ERS Global Research on Agriculture: Personnel & Expenditures database, which contains data on the number of public agricultural researchers and R&D expenditures for 190 countries, broadly covering the period 1960-2022. To construct the database, information from a large number of sources was combined, different R&D classifications were harmonized and missing data were imputed. Agricultural Economics & Policy R&D agriculture database public research spending long-term trends Full Text Additional Declarations The authors declare no competing interests. Supplementary Files si.pdf A global database of public agricultural R&D investment: 1960-2022. Supplementary Information Cite Share Download PDF Status: Published Journal Publication published 02 Jul, 2025 Read the published version in Scientific Data → Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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