Adoption of the System of Rice Intensification (SRI), determinants and impact on the technical efficiency of rice production in the middle Senegal river valley

Adoption of the System of Rice Intensification (SRI), determinants and impact on the technical efficiency of rice production in the middle Senegal river valley | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Adoption of the System of Rice Intensification (SRI), determinants and impact on the technical efficiency of rice production in the middle Senegal river valley Landing DIEDHIOU, Saboury Ndiaye, Vincent Mendy, Blaise Waly Basse, and 4 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8687696/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract In Senegal, rice consumption remains among the highest in West Africa, while domestic production does not meet demand due to low productivity, resulting in public expenditure on rice imports. In this context, it appears necessary to improve agricultural productivity. This study is part of a dynamic assessment of the technical efficiency (TE) of rice farmers in the Middle Senegal River Valley (MSRV) and the impact of adopting agricultural technology practices, such as the System of Rice Intensification (SRI), on TE. The data collected through semi-structured interviews comes from a sample of 239 rice farmers in the MVFS, Senegal. The stochastic frontier analysis method, along with the Cobb-Douglas production function, was employed to evaluate the technical efficiency of rice farmers. The Multinomial Endogenous Switching Regression (MESR) model was employed to evaluate the impact of SRI adoption on technical efficiency, thereby controlling for both observable and unobservable biases. The results reveal that rice farmers have an average efficiency score of 0.53. They also show that household size, level of education, and the amount of fertilizer and seeds used influence technical efficiency. The study also found that the combined adoption of SRI practices positively affects technical efficiency. Technical efficiency SRI Rice growing Middle Senegal River Valley Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted 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. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-8687696","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":580418083,"identity":"f13c1df1-4692-41b7-9f44-260d93b4bc44","order_by":0,"name":"Landing 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