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Frontiers of Agricultural Science and Engineering

ISSN 2095-7505

ISSN 2095-977X(Online)

CN 10-1204/S

Postal Subscription Code 80-906

Front. Agr. Sci. Eng.
REVIEW
PUBLIC INVESTMENT IN AGRI-FOOD SYSTEM INNOVATION FOR SUSTAINABLE DEVELOPMENT
Gert-Jan STADS(), Alejandro NIN-PRATT, Keith WIEBE, Timothy B. SULSER, Rui BENFICA
International Food Policy Research Institute, Washington DC 20005, USA
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Abstract

● Global public and private agricultural R&D spending has increased since 2000.

● Agri-food R&D drives productivity growth, but underinvestment in R&D persists.

● Agri-food R&D will need to address objectives beyond productivity.

● R&D investment in climate adaptation alleviates the impacts of climate change.

● Greater cross-country coordination and integration of agri-food R&D is essential.

Research is essential for improvement of agricultural productivity, resource use and resilience, and for food systems transformation more broadly. This article analyzes the drivers of past agricultural productivity growth in low- and middle-income countries (LMICs) and argues that productivity is not growing fast enough to meet the needs of a global population of 10 billion by 2050. A sustainable transformation of agri-food systems in LMICs will need greater and faster technical change. Higher investment in agri-food R&D is therefore needed to accelerate productivity growth and address the social, economic, nutritional and environmental challenges facing LMICs. Greater and better-targeted investment in sustainable technologies and climate change mitigation and adaptation will be particularly important to reducing the climate change impacts on agriculture and food security in the coming decades. However, LMICs with small research systems and limited innovation capacity lack the scale and resources to effectively tackle the challenges ahead. Better coordination and a clear articulation of roles and responsibilities among national, subregional, regional and global R&D actors (both from the public and private sectors) are essential to ensuring that scarce financial, human, and infrastructure resources are optimized, duplications minimized, and synergies and complementarities enhanced.

Keywords agri-food system      innovation      R&D investment      productivity      climate change     
Corresponding Author(s): Gert-Jan STADS   
Just Accepted Date: 20 February 2023   Online First Date: 17 March 2023   
 Cite this article:   
Gert-Jan STADS,Alejandro NIN-PRATT,Keith WIEBE, et al. PUBLIC INVESTMENT IN AGRI-FOOD SYSTEM INNOVATION FOR SUSTAINABLE DEVELOPMENT[J]. Front. Agr. Sci. Eng. , 17 March 2023. [Epub ahead of print] doi: 10.15302/J-FASE-2023484.
 URL:  
https://academic.hep.com.cn/fase/EN/10.15302/J-FASE-2023484
https://academic.hep.com.cn/fase/EN/Y/V/I/0
Fig.1  Long-term trends in public (a) and public and private (b) agricultural research spending by income group. Sources: Beintema et al.[5] and Fuglie[6]. Investment levels are expressed in purchasing power parity (PPP) dollars to equalize differences in price levels across countries. Income group classifications are based on the situation in 2019. HIC = high-income countries; LMIC = low- and middle-income countries.
Fig.2  Drivers of agricultural growth in LMICs (a) and sub-Saharan Africa (b), 1961–2021. Source: Calculations based on USDA-ERS international agricultural productivity database[10].
Fig.3  Agricultural research intensity ratios by income group, 1981–2016. Source: Beintema et al.[5].
Fig.4  Agricultural research investment gap by region, income group, and size of the national agricultural research system, 2016. Source: Calculated by authors based on Beintema et al.[5] and Nin-Pratt[22]. Data indicate the investment gap in terms of its share of actual 2016 investment. Large National Agricultural Research System (NARS) are those that fall into the upper tercile among all LMICs in terms of investment; medium NARS fall into the middle tercile; and small NARS into the bottom tercile. NARS were ranked based on their size in 2016.
Fig.5  Impact of investments in agricultural R&D, water management and market access infrastructure on hunger reduction with and without climate change (percent reduction in 2030 compared to reference scenario in the same year) for selected countries in East and Southeast Asia (a), South Asia (b), sub-Saharan Africa (c), and Latin America and the Caribbean (d). Source: Data for selected countries from Sulser et al.[2]. Scenarios assume middle-of-the-road changes in population and income, based on the Intergovernmental Panel on Climate Change’s (IPCC’s) shared socioeconomic pathway (SSP) 2. Climate change is modeled based on IPCC’s Representative Concentration Pathway (RCP) 8.5 scenario. See Sulser et al.[2] for details.
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