By Gert-Jan Stads, Senior Program Manager of Agricultural Science and Techonlogy Indicators (ASTI) at the International Food Policy Research Institute (IFPRI). Presented at the U.S. Department of Agriculture - Economic Research Service (USDA-ERS) West Asia and North Africa (WANA) Region Seminar.
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Investment and capacity trends in agricultural R&D: New evidence for West Asia and North Africa
1. Investment and capacity trends in
agricultural R&D: New evidence for
West Asia and North Africa
USDA-ERS seminar
Washington, DC | 18 May 2015
Gert-Jan Stads
Senior Program Manager
International Food Policy Research Institute
AgriculturalScienceandTechnologyIndicators
2. WhymonitoragriculturalR&Dresources?
Challenges:
- Rapid population growth
- Climate change
- Degradation of land and water resources
- Food price volatility
Agricultural R&D is a major contributor to productivity growth,
food security, and poverty reduction
Quantitative data are essential for stakeholders to be able to
analyze trends in agricultural R&D capacity and investments;
identify gaps; set future investment priorities; and better
coordinate agricultural R&D across institutes, regions, and
commodities
3. WhatisASTI?
Collects institutional, investment, human resource capacity, and
research output data from agricultural R&D agencies in
developing countries worldwide.
Established in 2001; led by IFPRI. Builds on earlier data collection
activities (early 1980s onwards).
Large network of national, regional, and international partners.
ASTI’s objectives are to provide high-quality, up-to-date datasets
on agricultural R&D; to conduct ongoing analysis of its datasets;
to disseminate the results of its analysis to promote advocacy
and support policymaking; and to build national and regional
capacity for data collection and analysis.
4. ASTIMethodology
ASTI data collected based on internationally accepted
definitions and statistical procedures for compiling S&T
statistics (OECD’s Frascati Manual)
This facilitates comparisons of ASTI datasets with other
relevant S&T datasets
FAO definition of agriculture: crops, livestock, forestry,
fisheries, natural resources, etc.
ASTI provides:
Trends over time at country / regional levels
Comparisons within and across countries / regions
5. ASTI outputs
• Country factsheets
• Regional and global reports
• Downloadable datasets
• Analytical assessments
• Seminars and presentations
• Press releases/media outreach
• ASTI website (www.asti.cgiar.org)
ASTI indicators
• Institutional arrangements
• R&D spending by cost category
• Funding sources
• R&D staff by degree, gender, and age
• R&D focus by commodity and theme
• Output indicators
ASTIoutputs
7. WestAsiaandNorthAfrica:Methodology
Surveyed more than 300 government, higher education,
nonprofit, and private-sector agencies in 11 WANA countries
Collected quantitative and qualitative information for 2009-2012
Human resource data were FTE-adjusted
Financial data include salaries, operating, and capital costs
Financial data are expressed in 2005 PPP dollars
8. PolicyContextofAgriculturalR&DinWANA
Of the 11 countries included in ASTI analysis, 4 do not have
official national science, technology, and innovation policies
In several of the countries that do, policies focus on innovation
at the macro level without offering sufficient guidelines or
incentives to individual sectors
Agriculture-related priorities are not always satisfactorily
embedded within national S&T policies, with the result that
decisionmaking is fragmented and coordination among
relevant actors is lacking
Most countries in the region lack policies to stimulate private
agricultural R&D and innovation
Morocco, Oman, Tunisia, and Turkey have strongest policy
frameworks
13. CHALLENGE:
A very large share of PhD-
qualified researchers at national
agricultural R&D institutes will
be retiring in the coming
decade.
0% 25% 50% 75% 100%
PhD
Total
PhD
Total
PhD
Total
PhD
Total
PhD
Total
PhD
Total
PhD
Total
PhD
Total
PhD
TotalINRAANCARELARIINRADGALRINRATGDARAREAARC
AlgeriaJordanLebanonMoroccoOmanTunisiaTurkeyYemenSudan
Share of researchers in age bracket
<31 31-40 41-50 51-60 >60
2012
19. PolicyImplications
Governments must address underinvestment in agricultural
R&D and take the necessary policy steps to diversify funding
sources
Governments must invest in training and capacity building and
remove status and salary discrepancies between government-
and university-based researchers
Governments must develop long-term national agricultural
research policy agendas and provide stronger institutional,
financial, and infrastructural support to NARIs
Governments must strengthen research linkages at the
regional and international level
food demand in WANA will grow at a rate of 2.1 percent per year until 2050, while yearly growth in agricultural productivity has averaged just 1.9 percent since the turn of the millennium.
If current productivity growth remains unchanged in the next few decades, a widening food gap will emerge that will need to be filled through increased food imports
To respond effectively to all of these challenges, agricultural productivity in WANA needs to be accelerated without delay.