3 research outputs found

    Assessment of the macro-micro linkages between rural livelihoods, agricultural research innovation systems and agricultural policy changes in Malawi

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    This thesis argues that the full impact of Agricultural Innovation Systems (AIS) driven research, that works to enhance not only agricultural production and productivity but also market linkages cannot be captured effectively using only microeconomic level studies; but rather requires the use of a combination of micro and macro-level analysis. This is because the innovation systems perspective entails the collaboration of different actors across the entire agricultural value chain. Therefore this study aimed to firstly quantify the degree to which AIS driven research impacts upon the livelihood outcomes of rural smallholder farmers. Second, the study aimed to determine the extent to which a combination of macro-economic and agricultural policy shocks impact upon household incomes in the maize-based farming system in Malawi; given macro-micro linkages as strengthened by AIS research. The first objective was tackled by using quasi-experimentation with propensity score matching to establish a valid counterfactual and single differencing to measure impact. The second objective was achieved by using a combination of quantitative and qualitative statistical and econometric tools to delve into the dynamics of the maize market at different levels and to develop a model that is capable of capturing the maize market dynamics. A multi-equation partial equilibrium model of the national maize market was therefore developed and linked in a top-down unidirectional manner to the local maize economy via a price-linkage equation. A non-behavioural arithmetic micro-accounting approach was adopted to estimate household incomes that were linked to the local economy, through which macroeconomic level maize price changes transmit. The results of the study empirically demonstrate that AIS driven research impacts positively upon the livelihood outcomes of rural households. This is demonstrated with participating households exhibiting statistically significant higher production outcomes (upland crop production, maize harvests, value of assets, and value of livestock); household incomes as well as human capital outcomes in some cropping seasons. In addition participating households also had much higher statistically significant fertilizer use prior to the implementation of the fertilizer subsidy program in the country; and statistically significant higher fertilizer use patterns for the first two cropping seasons following the implementation of the subsidy program. Participating households had greater linkages with the market economy which allowed them to take greater advantage of market incentives but which also made them more vulnerable to policy shocks. This study therefore shows that the analysis of the impacts of the paradigm shift in agricultural research towards an innovation system orientation cannot be contained at the household level, as this would lead to the formulation of inadequate policies that do not take into account the effects of greater market linkages of the rural households. Policy implications are that increasing production and productivity and linking farmers to markets may not in itself be enough for sustained livelihood improvement, as the resultant greater linkages to the market economy may be detrimental to household livelihood outcomes in the face of uncoordinated policies. In order for the paradigm shift in agricultural research towards an innovation systems perspective to be effective in sustaining an entrepreneurial culture in rural societies in Africa, there is need to foster the diversification out of agricultural enterprises for income, while supporting productivity improvements for food security. In addition any interventions should be implemented only after systematic analysis of the potential consequences of the resultant enhanced macro-micro linkages. This would help to ensure that there is no mismatch between policies and livelihood improvement strategies.Thesis (PhD)--University of Pretoria, 2012.Agricultural Economics, Extension and Rural Developmentunrestricte

    Impact of agricultural innovation system interventions on rural livelihoods in Malawi

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    This study, conducted in central Malawi, assessed the way a research intervention using an agricultural innovation system affected rural livelihoods. Propensity score matching was used to establish one village as a control, against which the impact of the intervention on two study villages [0] could be measured. Using the Enabling Rural Innovation intervention as a case study, it was established that rural livelihood outcomes pertaining to crop and livestock production, household income, asset ownership and fertiliser use were significantly improved by this intervention. In-depth analysis, however, demonstrated that although the participating households had more robust livelihoods during the intervention, when the research programme was phased out the effect was reduced. The authors recommend that local agricultural extension officers should receive more capacity building and budgetary support to ensure proper understanding of agricultural innovation systems concepts and correct application so as to sustain their positive effects.http://www.tandfonline.com/loi/cdsa2

    The dynamics of social capital in influencing use of soil management options in the Chinyanja triangle of Southern Africa

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    Social capital has become a critical issue in agricultural development as it plays an important role in collective action, such as, management of common resources and collective marketing. Whilst literature exists on the role of social capital in the use and adoption of improved agricultural technology, such literature is fraught with issues of the measurement of social capital beyond membership of farmers in groups. We hypothesized that different types of social capital influence the adoption of soil management options differently. This study looks at the measurement of social capital, differentiating between the main types of social capital and employed factor analysis to aggregate indicators of social capital into bonding, bridging, and linking social capital. Using logic analysis, the role of these types of capitals on influencing use of different soil management options was analyzed. The study found that bonding, bridging, and linking social capital all influence the adoption and use of different soil management options differently, a trend that might be similar for other agricultural technologies as well. The study recommends more research investments in understanding the differentiated outcomes of these forms of social capital on use and adoption of technologies to further guide agricultural interventions.This study is part of the Livelihoods Improvement Programme in the Chinyanja Triangle. We would like to acknowledge USAID for the financial support. We would like to thank the Citizen Network for Foreign Affairs (CNFA), Total Land Care (TLC) in Malawi, Mozambique, and Zambia and the Department of Agricultural Research, Zambia for their support with the data collection
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