Presentation 2 falck zepeda socioeconomic assessments results from case studies
Jose Falck Zepeda Side Event What Do We Know Socio-economics Sept 2010
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Transcript of Jose Falck Zepeda Side Event What Do We Know Socio-economics Sept 2010
8/8/2019 Jose Falck Zepeda Side Event What Do We Know Socio-economics Sept 2010
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“Socio-Economic Impact Assessments and Biotechnology: TheExperience to Date”
José Falck ZepedaResearch Fellow
Leader Policy Team Program for Biosafety Systems (PBS)
IFPRI
From left to rigth: a) Damage by Asia corn borer and b) Bt maize plot in Barangay Conel, Mindanao, The Philippines, c) Transgenic Garden,UP-LB Los Banos, Luzon, Philippines
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Current status 2009 90 million hectares
Six countries cultivated 96% of this area
USA 50.0
Argentina 17.1
Canada 5.8
China 3.3
Paraguay 1.8
India 1.3
Mainly four crops and two technologies
Private sector dominates product development
Public sector in developing countries developed
multiple technologies, very few have reached farmers
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In developing countries
Argentina, Brazil, China and India represent closeto 90% adoption in developing countries
Only two countries planting locally-developed
public sector technologies: India and China
Three countries in Africa planting GM crops: SouthAfrica, Burkina Faso and Egypt
Confined Field Trials in Kenya, Uganda, Nigeria,Philippines, India, China, Brazil, Guatemala,Honduras, Mexico, Argentina, others...
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What do we know from the economic impactassessment literature to date? –
A review of 187 peerreviewed studies
Different impact domains
Farmers, household andcommunity
Industry and markets
Consumers
Trade
Citation: Smale, Melinda; Zambrano, Patricia; Gruère, Guillaume; Falck-Zepeda, José; Matuschke, Ira; Horna, Daniela; Nagarajan, Latha;Yerramareddy, Indira; Jones, Hannah. 2009. Measuring the economic impacts of transgenic crops in developing agriculture during the first
decade: Approaches, findings, and future directions. (Food policy review 10) Washington, D.C.: International Food Policy Research Institute(IFPRI) 107 pages
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On average, profitable—but averages maskvariability by agro-climate, host cultivar, trait, farmer
Some Ex ante results from studies conducted byIFPRI and country partners
Country Crop/Trait Representative findings
Uganda Fungal
resistantbananas
• If approval delayed, forego potential annual (social)
benefits of +/- US$200 million
West Africa Bt cotton • Countries are worse off by not adopting• Smaller net benefits and returns than other studies• Negotiating downward the technology fee is key
Uganda Bt cotton • Positive yield impacts on net benefits• Smaller IRR probably explained due to low initial yields –
need to improve overall cotton productivity• Probability of a negative return can be as high as 38%with a full technology fee charge – negotiate the fee…
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On average, profitable—but averagesmask variability by agro-climate, hostcultivar, trait, farmer (2) Some Ex post studies conducted by IFPRI and
country partners
Country Crop/Trait Representative findings
Honduras Bt maize • Excellent control of target insects
• Yield advantage 893-1136 Kg/ha yield (24-33% higher yield Bt)• Bt maize preferred even by risk averse producers based on yield only• 100% higher seed cost than conventional hybrid
Philippines Bt maize • Adopters tend to be larger, use hired labor and are more educated.• Growing Bt maize significantly increases profits and yields• Significant insecticide use reductions
Colombia Bt cotton • Evidence of yield enhancement rather than pesticide reductions• Bt farmers benefited from the technology for one of the two regions inthe study, where the target pest is economically important• Sources of bias important: farmers who adopt are those that arebetter off• Institutional context crucial
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Bt cotton production parametersParameter India China South
AfricaArgentina,
Mexico
Yield Advantage
(n)
40 11 41 9
Min (%) -0.17 -0.06 -0.36 -0.03Median (%) 0.42 0.06 0.56 0.32
Max (%) 0.92 0.55 1.29 0.65
Reduction in
insecticide
Applications (n)
29 7 29 8
Min (%) -0.83 -0.82 -0.95 -0.81
Median (%) -0.3 -0.66 -0.53 -0.51
Max (%) 0.83 -0.56 0.68 -0.02
Profit (n) 16
Min (%) -0.65
Median (%) 0.47
Max (%) 1.36
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Estimates potential GM cropadoption
Source: Qaim 2009
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Too few traits, too few cases/authors—
generalizations should not be drawn
yet...need more time to describe adoption
Focus on existing crops/traits
Insect protected/ herbicide tolerance
Four crops: corn, cotton, canola, soybeans
Concern over potential estimates bias
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Next decade: Cross cutting issues forfurther study and the need for improvedmethods
Issues
Gender, health and generational
Institutional
Information and knowledge flows Impacts on poverty and inequality
Externalities
Need for improved methods
Household modeling Risk and uncertainty
Address selection bias and endogeneity