Falck Zepeda Overview of Policy Issues SSA for the AfDB April 2011

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    Overview of Key Policy Issues Impacting theAdoption of Bio-technology in Africa

    Jos Falck ZepedaResearch Fellow

    Co-Leader Genetic Resources Policies Project andLeader Policy Team Program for Biosafety Systems (PBS)

    IFPRI

    Presentation made at the African Development Bank, Tunis, Tunisia April 14, 2011

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    Outline

    Policy Issues Investments in R&D

    capacity

    Legal issues: Liability and

    redress Markets and trade:

    Labeling

    Socio-economic issuesassessment

    Experience withassessments

    Tool supporting decisionmaking

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    1. Investments in R&D capacity

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    Investments in priority setting

    Sub-regional priority setting exercises completed,mostly based on expert opinion

    Approaches used to date may have not lead to

    the identification of best portfolio of activities Priority setting require a robust quantitative and

    qualitative foundation

    Proposal: Collect more and better regional and national data

    More systematic analysis

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    An example for biotechnologyprioritization from ASARECA

    Commodity InterventionConstraints*

    I F V W P D S B N Q G

    Maize GM MM s m l

    Beans GM MM m l l

    Sorghum GM MM m m l

    Banana TC GM MM s m s m

    Wheat GM MM s,l s,l

    Potatoes GM, TC m s s s

    Coffee MM F GM, TC m s l s

    Cotton GM, MM m,s s m s

    Rice GM MM s s s m s

    Cassava GM MM D s s,m s,l

    Groundnut MM GM l m l

    Sweet potato GM MM m s,m m,l s

    Crop plants D, F s,l

    Key to interventions:GM = genetic modificationF = fingerprintingD = diagnosticsTC = tissue cultureMM = molecular marker

    Key to priorities: red = first , blue = second , yellow = third , green = fourth

    Key to time-frame: s = short term (technology transfer) , m = medium term (genes known)l = long term (genes to be cloned)

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    IFPRIs prototype economic evaluation and priority setting

    approach for informing biotechnology strategy and investmentdecision making processes

    Production, Trade, Prices

    (levels, trends, projections)

    Agroecological ZonesCrop diversity

    Current & Future

    RegionalImportance?

    Commodity

    Prioritisation

    Compile available data on

    the location, magnitude andeconomic consequences of

    major production constraints

    Type and impactof major production

    constraints?

    ConstraintPrioritisation

    Economic

    payoffs to constraintmitigation?

    Design scenarios

    for assessing effects ofmitigating constraints

    Existing, emerging orpotential biotechnology

    options

    Policy and Investment

    Implications forBiotechnology

    R&D and Regulation

    Payoff matrices

    by crop and country

    Payoff matrices

    by crop and country

    Payoff matrices

    by crop and country

    Technology-Specific

    Payoff matrices(Crop/Country/Region)

    Payoff matrices

    by crop and country

    Payoff matrices

    by crop and country

    Payoff matrices

    by crop and country

    Payoff matricesby crop and country

    1. CommodityScreening

    2. ConstraintScreening

    3. Potential Payoffs:Commodity/Constraint-Scale

    4. Potential Payoffs:Technology-Scale

    Likely regulatory regimes

    governing R&D, technology

    use, marketing & time lag,and adoption implications

    StakeholderDialogue

    5. Strategy/PolicyProcesses.

    Investment DecisionMaking

    Source: Wood, Zambrano,You, Falck Zepeda, Sichra,2008

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    Investments in R&D capacity 1990s under investment in R&D activities

    2008 improving but still lagging

    Concentration in a few countries

    Many countries, especially Francophone Africa, face

    fundamental capacity and investment challenges

    Without appropriate funding the innovation system cannotaddress effectively SSA productivity constraints

    Ourexperience is that biotech R&D also under invested

    Proposal:

    Systematic and focused capacity assessments

    Alleviate the constraint political will

    Source: partially based Beintema and Stads, 2011, IFPRI / ASTI

    Food Policy Report 24

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    Plant breeding investments by crop in Kenya(As a percentage of total breeding budget)

    FAO study onplant breedingandbiotechnology

    Compare /contrast withnationalpriorities

    Identifyoutputs fromresearch - ROI

    Contrast toother sectorinvestments

    0

    5

    10

    15

    20

    25

    30

    35

    40

    wheat

    rice

    maize

    so

    rghum

    millet

    othersmallgrain

    oilseed

    fibercrop

    root&

    tubers

    Forages

    o

    therlegumes

    veg&

    fruits

    misc.

    1985 1990 1995 2001

    Source: Falck Zepeda et al. 2007

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    IFPRI matrix of policy status andpolicy objective based investments

    Policy Status PolicyObjectives

    Tools

    plantgenetic

    resources

    conservation

    and

    enhancement

    Tools

    PlantBreeding

    Tools

    BiotechnologyTool

    Cross

    Cutting

    (1) Setting the stage

    for using biotech

    products

    Development

    of conventional

    capacitiesEstablishment

    of a regulatory

    system to

    facilitate access

    to

    biotechnology

    products

    Improvement

    of the

    technology

    delivery system

    Invest in

    germplasm

    bankCharacterizati

    on of plant

    genetic

    material

    Support for

    NARS applied

    and adaptiveresearch in

    agronomy and

    conventional

    plant breeding

    (infrastructure and

    human resource

    development)

    Development of

    operational IPR

    regulatory

    frameworks

    Design of seed

    legislation

    Development of

    operational

    biosafetyframeworks

    Support for NARS

    applied and

    adaptive research in

    molecular biology

    and associated

    sciences within

    innovative cluster

    (infrastructure and

    human resource

    development)

    Promotion of

    agricultural technical

    services industrySupport entry of

    private sector into

    seed and R&D

    systems

    (2) Improving the efficiency and products of

    agricultural research through increased used of

    biotechnological tools

    (3) Building capacities to develop

    biotechnology based innovations

    Source: Falck Zepeda et al. 2007

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    2. Legal issues: Liability and redress

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    What is liability and redress? Liability: refers to the obligation of a person or

    institution to provide compensation for damage itis deemed to be responsible for. (Boadie 2007)

    Redress: risk mitigation procedures Possibility of transboundary movements of GMOs

    opened the possibility of international liabilitymanagement regimes

    Consider concepts such as significant damage,likelihood, comparison to baseline, attribution tooperator, compensation, restoration,environmental biodiversity (human health)

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    Strict liability and innovation Countries may implement civil liability systems with

    strict liability clauses

    Strict liability refers to those systems where

    Imposition of liability on a party without a finding offault

    Neither good faith nor the fact that the defendant tookall possible precautions are valid defenses

    Strict liability often applies to those engaged inhazardous or inherently dangerous ventures

    Innovators and product developers may not investin those countries with strict liability clauses

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    Nagoya Supplementary Protocol onLiability and Redress Supplement to the Cartagena Protocol on Biosafety Guides parties to implement administrative procedure

    where competent authorities require operators to takeresponse measures in the event of damage

    Allows parties develop in their national laws civilliability procedures

    Requires building/strengthening capacity to

    Define and assess damage

    Enforce response to damage

    Establish financials security mechanisms

    Establish risk management systems and instruments

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    3. Market and trade issues: Labeling

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    Labeling of GM crops Labeling viewed as way of addressing some

    consumer concerns including safety, religious,ethical and the right to know about foods

    Decision points for designing labeling systems

    Mandatory vs. Voluntary

    Product vs. Process

    Coverage Thresholds

    Decision options have a cost/benefit andenforcement implications especially in developingcountries

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    Mandatory vs. Voluntary labeling ofGE food

    Voluntary systems preferred as only those trulyinterested and willing to pay are targeted forimplementation

    Mandatory systems increase cost to societywithout any consumer group discrimination

    Some studies show an increase of 10% of foodprices

    Complication: analytical methods to test for thepresence of GM products are not completelyreliable, lack sensitivity and are expensive

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    Developing countries issues Many foods are sold unpackaged labelling is

    impractical

    With high illiteracy levels labels are ineffective

    Where communications are poor and people areuneducated raising public awareness about GMOsis more difficult question value of label

    Many countries often do not have the infrastructure

    or financial capability to implement adequaterecord keeping - controls

    Major issue: enforcement

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    4. Socio-economic issues

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    Motivations for the assessment ofsocio-economic considerations

    For biosafety regulatory purposes one needs tounderstand:

    the impact of the inclusion of socio-economic issues indecision making

    The relationship /interaction with the risk assessment process

    Consider technology flows, opportunities lost due to

    additional regulatory hurdles and who is impacted more

    Technologyassessments

    Technology approvalwithin biosafety

    regulatory processes

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    Important distinction

    What are the goal and objectives for socio-economicassessments as related to biosafety or technology decisionmaking?

    Democratic societies right to know vs. Freedom to operate

    vs. Freedom to choose

    An impact assessmentduring the biosafetyregulatory stage needsto be ex ante

    For monitoring orstandard technologyevaluation purposes this

    is a conventional ex-post assessment

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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; Grure, Guillaume; Falck-Zepeda, Jos; 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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    IFPRI Food Policy Reviewconclusions

    On average, profitablebut averages maskvariability by agro-climate, host cultivar, trait,farmer

    Too few traits, too few cases/authors

    generalizations should not be drawn yet...needmore time to describe adoption

    Next decade Cross cutting issues for further study including

    impacts of poverty, gender, public health,generational

    Need for improved methods

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    Bt cotton in the U.S. First estimates

    -22 -12 -14

    58 37 37

    141

    8097

    63

    8593

    -50

    0

    50

    100

    150

    200

    250

    300

    1996

    Industry

    US Farmers

    Consumers

    Foreign Farmers

    1997 1998

    Industry

    36%

    Consumers19%

    US Farmers

    45%

    Total benefit estimates(Millions US $)

    Falck-Zepeda, Traxler & Nelson 1999, 2000

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    Black Sigatoka Resistant Bananas inUganda

    If approval delayed,forego potential annual(social) benefits of +/-US$200 million

    GM crops (food) withtangible benefits,increases consumersacceptance of GMbanana for 58% of thepopulation

    Higher negativeperceptions amongst theurban elite as comparedto rural producers

    Photos copyright: Kikulwe 2009

    Kikulwe, E.M., E. Birol, J. Wesseler, J. Falck-Zepeda. A

    latent class approach to investigating demand for geneticallymodified banana in Uganda Agricultural Economics.Publication Forthcoming 2011.

    http://www.gmo-compass.org/features/zoomimage.php?image=/data/imagescontent/grocery_shopping/017_banana-blacksigatoka_zoom.jpg&width=500&height=332
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    Bt cotton in Uganda

    Positive yield impacts onnet benefits

    Smaller IRR probablyexplained due to lowinitial yields need to

    improve overall cottonproductivity

    Probability of a negativereturn can be as high as

    38% with a technologyfee as charged in othercountries

    Photos credit: Horna 2009

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    Ex ante studies at a regional level

    Country Crop/Trait Representative findings

    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

    India, China,Philippinesand otherAsian

    Bt rice Adoption gains are up to 10 times the level oflosses due to potential closing of export market totrade sensitive countries

    Falck Zepeda, J.B., D. Horna, P. Zambrano and M. Smale. Policy and Institutional Factors and the Distribution of Economic Benefits and Risk fromthe Adoption of Insect Resistant (Bt) Cotton in West Africa. 2008. Asian Biotechnology Development Review 11(1):1-32.

    Falck Zepeda, J., D. Horna and M. Smale. Distribution of economic benefits and risk from the adoption of insect resistant co tton in West Africa2008. African Journal of Agricultural and Resource Economics.

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    Bt maize in the Philippines

    Growing Bt maizesignificantly increasesprofits and yields

    Significant insecticide

    use reductions Adopters tend to be

    larger, use hired laborare more educated,

    have more positiveperceptions of currentand future status

    Change in economic surplus

    (mill pesos)

    Producer Surplus 7906

    Seed Innovator 703

    Total Surplus 8609

    Producer Share (%) 92

    Innovator Share (%) 8

    Bt maize studies in Philippines led by Dr. Jose Yorobe Jr. with 466 farmers in16 villages Isabela Province, Luzon, So. Cotabato Province, Mindanao

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    Bt cotton in Colombia

    Evidence of yieldenhancement rather thanpesticide reductions

    Bt farmers benefited

    where the target pest iseconomically important

    Sampling biasimportant: adopters were

    better off farmers Institutional context

    crucial

    Photos credit: Zambrano 2009

    Source: Zambrano, P., L. A. Fonseca, I. Cardona, and E. Magalhaes. 2009. Thesocio-economic impact of transgenic cotton in Colombia. In Biotechnology andagricultural development: Transgenic cotton, rural institutions and resource-poor

    farmers, ed. R. Tripp. Routledge Explorations in Environmental Economics 19.London: Routledge. Chapter 8. Pp. 168-199

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    Bt maize in Honduras

    Excellent insect control Bt yield advantage was

    24-33%

    Bt maize yields preferred

    even by risk averseproducers

    100% higher seed costthan conventional hybrid

    Institutional issuesimportant

    Photos credit: Sanders and Trabanino 2008

    Small Resource-Poor Countries Taking Advantage of the New Bioeconomyand Innovation: The Case of Insect Protected/Herbicide Tolerant Maize inHonduras. Jose Falck Zepeda, Arie Sanders, Rogelio Trabanino, Oswaldo

    Medina and Rolando Batallas-Huacon. Paper presented at the 13th ICABRConference The Emerging Bio-Economy, Ravello, Italy June 17-20, 2009.

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    Institutional and productive issues thatcan define adoption and its impact

    Information about the technology Information about marketing and other consumer

    issues

    Extension services

    Credit Productive inputs (fertilizer, pesticides,

    herbicides..)

    Technology fees and seed prices

    Intellectual property issues Seed systems and competition

    IFPRI/PBS socio economic research

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    IFPRI/PBS socio-economic researchand policy making

    Uganda oBt cotton studyo

    Presentation of synthesis of cotton impactstudies globally

    Philippines o Bt maize studieso Cost of compliance and discussions on thesystems efficiency

    Kenya and Malawi o Ongoing/planned Bt cotton studies

    o Planned synthesis presentations/seminars

    ECOWAS/WAEMU oPlanned study on impact of harmonizationefforts in COMESAo Potential impact of Bt cotton introduction inWest Africa (WB discussions)

    APEC/ASEAN Trade studies rice

    India o Labeling and trade worko Farmer suicides discussion paper

    Protocol level o Mexico expert meeting to discuss socio-economics in 2008..o Supported survey

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    Socio-economic considerations and theCartagena Protocol on Biosafety (Article 26.1)

    especially with regard to the valueof biological diversity toindigenous and local communities.

    socio-economic considerationsarising from the impact of livingmodified organisms on theconservation and sustainableuse of biological diversity,

    Voluntary it is

    notmandatory

    Strictly anarrow scope

    may take into account,

    consistent with their internationalobligations,

    1. The Parties, in reaching adecision on import under thisProtocol or under its domesticmeasures implementing theProtocol,

    SOCIOECONOMIC CONSIDERATIONS

    Especially WTO

    Impactparameter??Focus??

    Relate to importdecisions Domestic lawsand regulations

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    Another important distinction

    Article 26.1 of theCartagenaProtocol and

    (future) derivedagreements

    National laws,regulations, policiesand implementing

    regulations

    Relatively fewlimitation except

    bindinginternationalagreements (WTO)and existing laws,regulations, policies

    Limitation is the textof Article 26.1, other

    international bindinginternationalagreements (WTO)

    P i l l d d i i f

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    Practical structural and governance decision forsocio-economic inclusion in the decision makingprocesses

    Issues OptionsType of inclusion No inclusion vs. Mandatory vs. Voluntary

    Scope Narrow interpretation article 26.1 Narrow set of socio-economic issues Broader set of assessments (SIA or SL)

    Approach Concurrent but separate vs. Sequential vs. Embedded Implementation entity

    Assessment trigger Each submission vs. Event-by-event

    When Laboratory/greenhouse vs. CFTs vs. Commercialization For post release monitoring At all stages?

    How? Choice of methods for ex anteassessments is much more limited than forex post

    Decision making rules and standards Method integration, standards, tolerance to errors

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    Potential implications from the inclusion ofsocio-economic considerations into decisionmaking

    Regulatory costs will increase

    Potential regulatory delays can reduce Number of technologies

    Number of technologies released by the public sector -> cropsand traits of a public good nature

    Potentially introduce more uncertainty to the process

    May lead to an unworkable system if rules andstandards are not clear

    Society gains information on technology impacts

    What will society do with this information?

    Wh t d i i k d ith

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    What can a decision maker do withthe results a socio-economic

    assessment?

    What is the decision making rule and the standard by which toguide such decision?

    Who is the best person to make this decision? Is it a regulator,decision makers, or the persons who will endure the risk and the

    benefits of the technologyfarmers?

    Negative SocioEconomic

    Assessment+

    Biosafetyassessmentrenders product

    as safe

    Not approval

    Require moreinformation

    SEA

    BA

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    What can a decision maker do with the resultsa socio-economic assessment?...continued

    Considering that.

    Socio-economic assessment include quite a bit of art in a process thatuses science and scientific tools

    Lots of uncertainties and subjectivities

    Negative SocioEconomic

    Assessment dueto institutional

    issues

    +Biosafetyassessment

    renders productas safe

    Not approve

    Require moreinformation

    SEA

    Approve afterresolving

    institutional issues

    BA

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    Key Messages

    Robust evidence based priority setting and R&Dcapacity analysis are critical for decision making

    Adoption of GE biotechnologies has been overallpositive, but results are variableno different than anyother past technology release

    Benefit variability significantly influenced by market,management and institutional issues

    Systematic understanding of all potential implications ofissues impacting GM crop adoption and diffusion inSSA is critical

    Prudent to judge technology by its own merits

    Think about crops and traits of interest to developingcountries

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    Key messages Article 26.1 of the Cartagena Protocol

    is not mandatory

    has a very specific scope, target and objectives focused onbiodiversity

    National laws and regulations may incorporate socio-economics

    If decision is inclusion then need to focus on Implementing regulations and consequences from inclusion of

    socio-economic

    Addressing transparency, feasibility, decision makingstandards

    Ensure capacity to conduct feasible socio-economicstudies in a cost efficient and timely manner