Knowledge Exchange Strategies BMGF reviewed (upload)

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A strategic approach towards the developement of new Extension Sytems in support to Agricultural Value Chains

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  • Spread (scale) of farmer technology uptake depends on geographical area and type of technology. It also depends on farmer type, agricultural eco- zoning, ethnic groups, gender, complexity & risk of a technology.

    Yet, the focus here is on established “good technologies”, which have UNIVERSAL valence.





  • The holy grail of achieving large-scale adoption of agricultural innovations among the majority of resource poor farmers has taken many forms through development history. From T&V to farmer- field schools. None has proven to last and being effective at a scale, even if each of them have shown temporary or pockets of context-related success.

    Difficult to formulate a clear cut advice for IVCTs on how to tackle this challenge, beyond quick fixes (e.g. posters and leaflets, training manuals, use of mass media for marketing the technology etc.)

    Nevertheless, there are several well “known knowns”..
  • The first “known known”:

    This graph was from an Poverty Action Lab ATAI presentation (and ultimately from a World Bank source). It also shows how there is a big yield gap between developed world and developing world.

    50% of increase of yield growth largely depend from new variety improvement for productivity and resistance to biotic and abiotic stress.

    Good agricultural technologies: a) with demonstrated productivity gains >50% b) relevant to farmers in different country agro- eco-zone c) in line with GAP standards

    Examples of good technologies with demonstrated productivity gains:

    Efficient and timely fertilizer application, sowing of improved seed varieties, organic composting, reduced use of pesticides (IPM) and reduced
    tillage planting techniques.


  • The second “known known”

    This diagram is drawn from the AgDev Strategy Refresh Memo of 2011. It just shows one set of examples, but there is a very high yield gap in Sub-Saharan Africa , despite the existence of good seeds.

    Yet, yield gaps for food security crops (up to 200- 400% increase potential for sorghum millet and maize) show clearly the opportunity of increasing productivity by just adopting or adapting already “existing technologies and varieties”

    Effective delivery of extension/KE services create the enabling environment where small-holder farmers can access and adopt beneficial agricultural technologies at scale to narrow the large yield gap. KE can also engage farmers to provide feedback to research, during R&D investments for the development of new technologies.
  • This is a well “known known” In Malawi only 18% of farmers have had more than one contact with an Agricultural Extension Officer (

    There is a great need to have more cost-effective KE models scalable through public National Agricultural Systems (also viable and scalable business models of “private” delivery KE delivery difficult to be achieved for, without public financing
    There is a great scope for making use of fellow farmers as extension agents as cost- effective and scalable mechanism of extension (difference between progressive farmers and peer farmers! see Yale study (http://ssrn.com/abstract=2315229 )
    There is scope to use input dealers as a vehicle for extension delivery (need for public control mechanisms to avoid biased advice)
    There is a need of reaching the majority of farmer through radio and mobile with Universal good agricultural technologies.


  • There is lack of evidence and data from rigorous research because of: a) lack of methodology dealing with complexity b) cost of RCT c) no systematic ways to harvest farmer feedbacks.

    Swanson, B. E. and R. Rajalahti. (2010) Strengthening Agricultural Extension and Advisory Systems: Procedures for Assessing, Transforming, and Evaluating

    Extension Systems. Agriculture and Rural Development Discussion Paper 45. The World Bank. http://siteresources.worldbank.org/INTARD/Resources/Stren_combined_web.pdf

    Anderson, J. R. and G. Feder. (2007) Handbook of Agricultural Economics. Agricultural Extension. 3: 2343-2378.

    Waddington, H., B. Snilstvedt, H. White, J. Anderson (2010) The Impact of Agriculture Extension Services: Protocol, 3ie Synthetic Reviews – SR009. http://www.3ieimpact.org/admin/pdfs_synthetic/009%20Protocol.pdf
  • The Foundation has in the past five years a number of KE strategies have already identified strategic intervention strategies (Steiner2008:2009, Kentaro Toyama 2012, Witt, 2013, Steiner 2013)

    The KE new strategy 2014, builds on this body of knowledge and offer increased focus in service to crop value chains and sustained productivity goals per Ag TOC.

    About 30% of all AgDEV grants in 2011 had some last mile KE component

    Good KE Models: 1. Cost Effective 2. ICT integration for content mgt. 3. Collecting real time feed-back 4. Facilitating interaction at village level (last-mile)


    Impact Research & Data
    Mainstreaming toolkits
    Innovation & Extension Model
    Farmer organizations and networks
    ICT & Advocacy as crosscutting
    Scaling through partnerships with country national Ag systems
    Steiner, 2008

    Internal consulting
    Research on models (exploration, evaluation, etc.)
    Diagnosis in anchor countries
    Advocacy for KE
    Shared grant making
    Vertical, integrated support in anchor countries
    Global community building around KE
    Toyama, Interim strategy and 3 top priority, 2012


    Effective adoption of best practices and inputs requires a new farmer-centric R&D – Knowledge Exchange paradigm
    Provides real-time, appropriate and context-specific information
    Is scalable at low cost due to mass customization
    Can be holistic with integration of multiple information streams
    Empowers extension workers and farmers due to interactivity
    Witt, 2013

    Deep understanding of smallholders and their trusted knowledge networks
    Drive scale by dramatically lowering the cost of extension services
    Exponentially increase access to quality extension content
    Catalyze continuous improvement and learning networks
    Steiner, 2013

    Good KE Models:
  • In red are BMGF investments that are not managed by the KE POs but that have a great relevance in disseminating information and facilitate repeated interactions with farmers.

    These models have to be adapted and integrated for different information needs/specific focus in different Crop & Livestock Value Chains and scaled thorough Country National Programs e.g. ATA, ADD, NRLM.

    Broadcast: Limited farmer engagement
    Narrowcast: Frequent farmer engagement and farmer groups organization support
  • KE Role –
    Identify and spread cost-effective models in support of VCs with different farmer engagement intensity and
    Action-research on models and adoption as added value to crop & livestock Value Chains.



  • Direct investments= as functional technical unit (11%)
    Collaborative investments= together with specific VC POs and/other units e.g. MLE, data or with PO within the same unit.

    VC specific KE approaches
    Examples:
    Improved seeds: mother and baby trials, Valuation Evaluation Observation trials as marketing strategy for seed entrepreneurs
    Agronomy adaptations: ICT supported models for soil fertility (e.g. e-Koutir).
    Livestock: Delivery of extension for dairy cooperatives, village poultry vaccinations and AI inseminators.

    Ag. content management: Collaboration for global, national and local mechanisms of content provision and dissemination relevant to farmers, including digital solutions.
  • Feedback mechanisms on content and technologies have always been a core function of extension. Historically, extension has been of pivotal importance for adoption of mechanization in agriculture in the US too. The repeated interaction between tractor and implement manufacturers and farmers is what has been reported to be a key success factor in the adoption of mechanized agriculture in the US. “Extension provided training, advocacy, links between researchers and companies and farmers, experimentation”

    There is also an important time factor in considering large scale adoption of a technology.

    Farm tractors in the US
    –1930: 920,000
    –1940: 1,567,000
    –1950: 3,394,000
    –1960: 4,688,000

    There was also significant levels of public support spending.

    (Paul McNamara, University of Illinois at Urbana, Nov. 2013, “Scaling the Uptake of Agricultural Innovations: The Role of Sustainable Extension and Advisory Services” USAID, Washington DC.)

  • It is important to learn and absorb lessons on how to increase adoption of basic Ag technologies by poor resource farmers and get real time feedback about their value, in order to bring about the desired changes described in the Ag strategy TOC.

    Key messages:

    KE isn’t just information input. Trust and repeated engagement are also critical (these elements tend to require human intermediaries).
    KE is about research on cost-effective models (exploration and evaluation), and about doing the catalytic part of scaled impact.
    KE’s work directly contribute to VCs without competing or substituting for what they’re already doing i.e. add to the VC metrics.
    For example, let’s say the PO who owns Superwheat X is already spending $Y million on private-sector extension workers to sell Superwheat X to farmers in Ethiopia, so that 100,000 farmers will generate Z tons of Superwheat X in 2015. What KE might do (just an example), is to use DG in Ethiopia to influence an additional 10,000 farmers to grow W tons of Superwheat X in 2015. This is just an example, but the idea is that we would add to VC goals, not substitute their KE parts for them (unless they want that).
    KE is in the business of “pipes and plumbing”, the critical conduit reaching directly farmers, which means KE is agnostic about the content flowing through the pipes. That allows KE to align with VC goals, to supplement them without competing on other competency area and/or PO experiences.
  • Scaling Technologies:

    Is 20% valid in the agriculture? Does it differ in relation to crops (cash versus food crops?)

    Institutional base of extension and inputs and complementary services and supportive policy
    Many components of a functioning Ag Innovation System
    Repeated engagement rather than one-time push

    Longish time scale of major agricultural innovations

    Farmers and their assets
    Green revolution targeted best regions for irrigated rice and for wheat production (not more difficult rain-fed uplands and more marginal zones)
    US agric productivity built on base of literate farm population, secure property rights, functioning cooperatives, access to credit, commercial agribusiness involvement and investment, infrastructure, substantial public funding
  • Knowledge Exchange Strategies BMGF reviewed (upload)

    1. 1. Knowledge Exchange: Adding Value to Value Chains Pier Paolo Ficarelli December, 2013
    2. 2. The Problem Large-scale adoption of good agricultural technologies remains an on-going challenge June 2014 Review 2
    3. 3. The problem of adoption is a puzzle far from being solved. June 2014 Review 2013 Pier Paolo Ficarelli | 3
    4. 4. Good agricultural technologies exist, but they are not universally adopted. Up to 50% of recent yield growth comes from improved varieties. The remaining 50% is from other sources: irrigation, transport infrastructure, policy reform, human health and Agricultural EXTENSION. Source: ATAI presentation 3/2012; World Bank (2008) World Development Report, Agriculture for Development [data from http://stats.fao.org] Western Europe and North America East Asia and Pacific Latin America South Asia Sub-Saharan Africa
    5. 5. [AgDev Strategy Refresh Memo I, 2011] Yield gaps show the immediate opportunity for farmers to increase productivity using improved technologies. June 2014 Review 2013 Pier Paolo Ficarelli | 5
    6. 6. Sources: http://siteresources.worldbank.org/EXTAGISOU/Resources/Module3_Web.pdf; http://vibeghana.com/2012/03/28/government-asked-to-privatize-extension-services/; http://www.worldwide-extension.org; (*) Some numbers are extrapolated estimates. National extension services are chronically underfunded, inefficient and unresponsive. 60% without access to information 7% Extension worker 10% input dealers 16% fellow farmers
    7. 7. “[Impacts] vary widely – many programs have been highly effective, while others have not.” (Anderson & Feder 2007) “[Rigorous] impact evaluations of agricultural extension interventions are less common.” (Waddington et al. 2010) Unknowns, with questions specific to Value Chains: What are the most cost-effective ways to increase adoption? Are incentive mechanisms required for adoption? For whom? Is there a critical mass of adoption that leads to scale? How do adoption patterns differ by geography, farmer typology and VC? Do Self- help groups or CBOs facilitate wide-spread adoption? Does adoption necessarily lead to yield and income change outcomes? There are many “known unknowns”. 2013 Pier Paolo Ficarelli | 7
    8. 8. Knowledge Exchange Focus Explore, evaluate, and disseminate cost- effective models of extension June 2014 Review 2013 Pier Paolo Ficarelli | 8
    9. 9. KE contributions to sustained productivity Knowledge dissemination − Science-based, practical, farmer know-how or their combination to overcome “information failure” Trust in the source of knowledge − Difficult without human intermediation Repeat Engagement − Farmers often require repeated engagement before adopting, or continuing to adopt. [Learnings from grantees: CKW, Farm Radio, DG, ATAI.] Interactive Radio Digital Green Localized Video-enabled extension Change agent-mediated Broadcasting Knowledge (reach) Narrowcasting Knowledge (behavioral change) Knowledge Exchange is more than Broadcasting Information. Mobile (m-Agri) Farmer Helplines ModelContinuum 2013 Pier Paolo Ficarelli | 9 Agri-inputs bundled
    10. 10. In first 8 months, adoption of improved practices increased the incomes of farmers by an average of $242 (50%).. [From Digital Green presentation (2011)] ICT-enabled models can have big impact. June 2014 Review 2013 Pier Paolo Ficarelli | 10
    11. 11. Alternatives to public extension service are necessary to increase smallholder farmer reach. June 2014 Review 2013 Pier Paolo Ficarelli | 11 Source: Ferroni and Zhou (2011) Birner and Anderson (2007), adapted from Anderson and Feder (2004), Birner et al. (2006), and Rivera (1996)
    12. 12. Cost –effectiveness, farmer coverage and adoption are extension transformation priorities. Knowledge Exchange priority interventions:  Strategic support to National Extension Systems to manage different extension approaches for high and low potential areas Creating incentives for private sector extension delivery in high potential areas Engaging farmer-based organizations and NGOs as extension providers in low- potential areas Learning on success and failure factors for envisioning new extension systems  Leveraging national level partnerships to pre-scale cost – effective extension models Scaling specific ICT – enabled models with consistent track records of low cost per adoption Continued experimentation and innovation with video, radio and mobile models Partnerships with private for-profit and non-profit actors for extension provision June 2014 Review 2013 Pier Paolo Ficarelli | 12
    13. 13. New seed variety New Extension Models “Slogging” Technology&Research Exploration Evaluation Scaled Impact innovation; diagnosis; literature review; pilot projects; segmentation; etc. Experimental trials; impact assessment; modeling; cost- effectiveness analysis; etc. Piloting new models together with National Ag Extension Systems Capacity building of Ag National systems Scaled engagement with farmers; Knowledge Exchange operates in analogy to Value Chains. Catalytic Investments
    14. 14. Model research Which models work best and under what conditions? How cost-effective and scalable are they? Scaling How to scale out models in a given country? How to scale up models through National partnerships? Adoption research What are the settings for ICT substitution of face- to – face interactions What are the incentives influencing adoption of Ag. technologies? Scaling What are the factors accelerating/inhibiting widespread adoption? What are proxy indicators for future wide-spread adoption? Generating evidence through data-driven experimentation and pilot implementation of innovative extension models. ValueAddedtoValueChains 2013 Pier Paolo Ficarelli | 14June 2014 Review
    15. 15. Extension in Ag Value Chains How Knowledge Exchange can Increase Impact of Value Chains? June 2014, Review 2013 Pier Paolo Ficarelli | 15
    16. 16. Direct investments • Expanding range and scaling of ICT- enabled extension models Develop sustainable Ag. content management platforms capturing farmer feedback • Implement research on: − entrepreneurial models of extension linked to input provision and marketing services − incentives approaches for improving public extension delivery − information dissemination and farmer innovation “frictions” Collaborative investments • Establishing national learning fora for the transformation of extension • Embedding new extension models in crop and livestock value chains • Explorations of Value Chain-specific extension approaches for specific crops, livestock, IPM, new seed varieties dissemination • Integration of family health and nutrition content for women farmers Two way support to Integrated Value Chains. June 2014 Review 2013 Pier Paolo Ficarelli | 16
    17. 17. Pier Paolo Ficarelli | 17 Investments made in agricultural knowledge / technology Farmer adapts knowledge, and provide feedback Productivity of farm increases Farmer household income and nutrition levels improve Knowledge Exchange strengthens this critical link Effective KE incorporates farmer feedback and improves farmer incomes Research indicates potential for ~60% yield increases with access to effective KE by smallholders1 Smallholder food crop yields With access to relevant, timely extension services Without extension (baseline = 100%) 160% Romani, Mattia 2003, “Impact of extension services in times of crisis: Cote d’Ivoire (1997-2000)”, CSAE WPS/2003-07 Good KE gets farmer feedback “for free” to VCs.
    18. 18. Summary Pier Paolo Ficarelli | 18 The Problem: Large-scale adoption of good agricultural technologies remains an on-going challenge in the developing world Knowledge Exchange Focus: Explore, evaluate, and disseminate good extension models KE for VCs: • Work across VCs to strengthen KE and improve adoption • Explore and evaluate VC-specific KE approaches • Partner in focus geographies to increase VC adoption beyond VC grants.
    19. 19. Thank you! Pier Paolo Ficarelli 19
    20. 20. Pier Paolo Ficarelli | 20 Rogers,1964 Diffusion of innovation theory 20%? Time!

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