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Farmer Support Group: Making land work for rural people .
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Farmer Support Group: Making land work for rural people Ideas for new research projects on LICS in Africa:Agricultural grassroots innovation in South Africa: implications for indicator developmentBrigid Letty1, Zanele Shezi2 & Maxwell Mudhara21Institute of Natural Resources 2 Farmer Support Group – University of KwaZulu-Natal All African Globelics Seminar, Tanzania 22 - 23 March 2012
Acknowledgements The authors thank IDRC and the UNU-MERIT project team: Martin Bell, Fred Gault, Michael Kahn, Mammo Muchie and Watu Wamae for their ongoing support and encouragement.
Introduction • This presentation draws on a study undertaken as part of an IDRC / UNU-Merit initiative looking at case studies of innovation processes (and implications for development of innovation indicators) in Mozambique, Rwanda and South Africa. • It considered two cases of collaborative innovation (participatory grassroots innovation) supported by members of the Prolinnova network (”promoting local innovation in ecologically oriented agriculture and natural resource management” and its sub-programme called FAIR - “Farmer access to Innovation Resources” being implemented by UKZN - FSG. • Underlying premise: Insufficient recognition is given to ability of smallholder farmers to innovate and experiment - There is a need to influence policy related to R&D so that more resources are made available to support joint experimentation / innovation. • It draws strongly on unpublished work of Martin Bell that creates a framework for considering the two case studies.
What is grassroots innovation? • Participatory, farmer-focused and farmer-led modes of innovation development (technologies, organisation arrangements, etc) • They have significant involvement of the innovation users in the innovation process • Is believed to yield innovations that are more appropriate in risk-prone, heterogeneous environments, and which are adopted faster • They blur the distinction between research and extension (and the roles that different actors play – researchers, development practitioners, extension officers and smallholder farmers) • Farmers have a greater influence on centralised agricultural research – greater participation in experimentation and research – or even undertaking ‘informal’ experiments and research • Interest in this new approach because of • limitations of formal R&D systems (based on 1-way technology transfer approaches), • recognition of the value of the involvement of other actors – but especially farmers as innovators rather than just as recipients • and potential gains from linking these two systems
Current policy environment • Dept. of Science & Technology – National R&D Strategy, 2002. • Some reference to IK. • High level goals of systems of innovation – (1) quality of life and (2) growth and wealth creation. • Little reference to role of informal innovation in achieving goals. • Performance indicators, for example: • Human capital – Researchers / 1000 workers. • Technical progress – Patents. • Current R&D capacity – Publications, investment in R&D. • Department of Agriculture, Forestry & Fisheries – National Agricultural R&D Strategy, 2008. • Makes reference to farmers orgs, civil society & professional orgs as key stakeholders with roles including adaptive research. • Not clear whose role adaptive research is – but no reference to emerging farmers / smallholders – are they seen as suppliers of inputs, producers of outputs or simply users of the outputs?
Implications for policy • Policy needs to: • Recognise and encourage farmer experimentation and innovativeness – not only recipients of technology and knowledge. • Support grassroots innovation with human and financial resources. • Create an enabling environment.
Available info about grassroots innovation • A seeming lack of hard evidence to convince government to scale up and mainstream financial support • Within the sector, there is insufficient attention given to systematic collation of information about inputs, actors and impact of individual cases – and little effort to aggregate information across cases and countries • And no agreed framework for characterising grassroots innovation or its impacts or scale • So difficult to really know what the scale of the activity (and joint innovation versus farmer experimentation) is or the impact that it is having (is it a marginal activity being undertaken by individuals without institutional support, Ashby 2009a)
Formal (Conventional) Informal (‘Farmer first’) Participatory Empowering Functional Grassroots Not Measured Measured (Bell, unpublished)
Why the need for indicators? • Indicators describe innovation processes in terms of inputs, actors, process, outputs, impacts and consequences • Used in case studies, smaller surveys or national surveys – they provide internationally comparable data and allow for generalisable observations • They provide evidence to convince policy makers and assist decision-makers • But there are not indicators that can shed light on grassroots participatory innovation in the ‘informal economy’
Inadequacy of current agricultural indicators • A limited range of agricultural indicators currently used formally (a focus on inputs, formal R&D actors, limited outputs – especially ‘adoption’ by farmers, direct impacts (e.g. productivity levels, returns to R&D) • No appreciation of farmers (large or small-scale) as actors in the innovation system • Little information provided about different sources of knowledge involved, nor the flow of knowledge • Little attention to long-term impacts on livelihoods
Scope of the UNU-Merit case • Focus was on identifying and applying indicators for assessing grassroots innovation related to smallholder agriculture. • Focus of cases was on joint experimentation that had shown some level of application (going beyond R&D). • Two innovation processes in Potshini, KwaZulu-Natal were explored: • Development of a new potato planting method. • Diversification into a new crop and marketing arrangement.
The South African context • According to Vink & van Rooyen, 2009: • 1.25 million smallholder households (64% have <0.25ha each). • 46,400 commercial farmers. • 35,000 ‘emerging commercial’ farmers in communal areas • What defines smallholder agriculture in SA? • Poorly supported by capital • Complex farming systems, Largely rainfed, Marginal agricultural land • Weak links with supporting knowledge institutions, credit facilities and input/output markets • Since 1994 research has refocused to provide support to smallholders. Yet smallholder production has continued to decline. • Why is it important? It makes a contribution to livelihoods (together with social grants!) – food security and poverty reduction
Study location Potshini village (25km from Bergville)
The FAIR enabling environment • SivusimpiloOkhahlamba Farmers Forum • Sharing of ideas / innovations (funded and unfunded) • Stimulating innovative behaviour • Local innovation support fund (Hlahlindlela Trust) • Community level structure with subcommittees that screen applications against criteria, monitor innovation processes. • Provides access to resources (inputs, human capital, new ideas). • Funds reduce risk of experimenting with new ideas. • But fairly limited requests for support – people are unfamiliar with this approach. As Thabanesaid, ‘those who are applying are those who have their own ideas about ways to solve problems they are facing – such as birds eating crops in winter’
Potato planting method • ThabaneMadondo, a smallholder in Potshini was introduced to a new idea about how to plant potatoes by a visiting pastor. • The new method involved placing the seed potatoes on the soil surface under a layer of mulch rather than planting and later ridging them. • Thabane saw the potential labour saving benefits and the impact it could have on home garden production, often by elderly women, and decided to experiment with it. • After a season of experimentation, he approached FSG for support and a proposal for support was submitted to Prolinnova. • Joint experimentation focused on different materials for mulching, different planting times and different mulch depths.
Potato case cont. • Madondo’sexperience with experimentation and previous work with researchers provided an enabling environment. • Outcomes: While the team found that the method did reduce labour requirements, there were poor germination rates and reduced yield – and Madondo continued to experiment. • The concept was picked up by other innovators (Especially smallholder Mr Mbhele who tried it with other crops). • The provincial DoA also experimented (Cedaratrial).
Cherry pepper case • A group of smallholders (the Walani Group) were seeking to diversify into a new crop with better market opportunities than their commonly grown commodities. • Discussions about diversification had taken place within meetings of their local farmers forum and FAIR had supported a trip to the municipal market to stimulate thinking about new crops. • One of the forum members had identified an opportunity to supply cherry peppers (Capsicumsp) to a neighbouring commercial farmer with access to a processing facility. • Thus the Walani group decided to experiment with the new product and to develop of a new marketing arrangement. • A proposal for support was submitted to FAIR and FSG played a key role in facilitating the process.
Cherry pepper case cont. • This also led to a new relationship between the smallholders and the neighbouring commercial farmer - Previously it had been one of conflict or an employer-employee arrangement. • The farmers successfully produced their first crop and decided to expand their production the following season without support from FAIR. • The group members were also motivated to keep working together – they’re ‘seeing the bright side of agriculture’. • Some farmers grew their own seedlings from harvested seed and are growing peppers in their home gardens to supply to the factory. • There has been uptake by other farmer groups.
Potential innovation indicators • Indicators to measure impact on livelihoods & wellbeing: • Increase in income generated. • Reduction in labour. • Increased food security. • Improved diet. • Indicators to quantify scale of activity (the extent to which it is happening): • Returns versus expenditure on stimulating / supporting informal innovation. • Number of joint experimentation processes supported.
Indicators quantified – potato planting • Labour saving potential: • Comparison of labour requirements for conventional versus mulching practice. • 72% reduction in labour. • But also a 27% reduction in yield. • In monetary terms – for an area of 8 x 6m, a loss of 51kg (R179) would almost be compensated for by saving in labour cost (R176). • And when labour is simply not available then this is an acceptable compromise. • Yield alone is thus not a good measure for comparisons.
Indicators quantified – cherry peppers • Income generating potential: • R30,000 per hectare for cherry peppers versus • R13,436 /ha for cabbages (Combud 2009/10) or • R2,175/ha for maize (Combud 2007/2008). • Social benefits • Improved relationships. • Improved capacity to work together. • Improved capacity to experiment.
Initial conclusions • Case study has built some understanding of how the concept of innovation systems relates to grassroots innovation. • Need to distinguish between local innovation and joint innovation processes (both contribute to grassroots innovation). • Links between formal and informal players (stimulating innovativeness create a ‘pull’ on formal R&D systems). • Some exploration of indicators for measuring impact. • Some exploration of support required for grassroots innovation. • Inputs to the innovation process are wider than initially understood (including institutional and organisational inputs) – and activities downstream to R&D that are critical for uptake of the innovation
From case studies to policy analysis • We still cannot really argue for scaling up this approach: but it certainly seems to deserve more attention… • Some of the benefits have been illustrated - including economic and social (including empowerment) • We need a more systematic analysis to determine whether scaling up of resource allocation is deserved and where it should be focused • For the analysis we need a common framework with relevant indicators….
Some implications for indicator development? • We need to decide on the entity on which to focus: Not a firm, so maybe a farm, or a village? • We need ‘outward focused’ indicators aimed at influencing policy rather than satisfying the funder • We need to be able to describe network links to knowledge sources • What sources of knowledge contributed? • What was the knowledge flow direction? • What is the link with formal R&D? • To what extent is the process user-pulled or driven? • In terms of impacts, we should consider both functional benefits (better adapted and adopted innovations) and empowerment (social) benefits (e.g. intensified innovative activity)
Future research: Next steps for developing relevant indicators We need an endogenous process of creating and developing relevant indicators (Bell, unpublished)
The first step • Undertake case studies or smaller surveys: • Need indicator development as part of case study and survey analysis (consistency allows comparison and aggregation) – and in line with other innovation indicator work • Consider pre-R&D conditions and post R&D activities that are key for uptake and adoption • Consider how to deal with the issue of longer term impacts – especially the empowerment related ones? • Consider how one could identify innovation processes that are not embedded within projects? Especially farmer only innovation…. • This will inform larger surveys which will in turn allow for development of frameworks for large national surveys