Application of Chow test to improve analysis of farmer participation in markets in Kenya
AbstractInvolvement of farmers especially those at the smallholder level, in commercial agriculture is an important pathway towards economic development. There is a growing literature on the extent and determinants of market participation by farmers in different areas of the world. However, many studies fail to statistically account for the choice of either pooled models or disaggregated analysis of data from multiple sites. The consequence is that the scope and relevance of policy inferences on the basis of those results are limited. This study contributes to knowledge in filling the analytical void through application of the Chow test. Primary data from seventy seven vegetable farmers is analysed to understand factors that influence the level of market participation in rural and peri-urban areas of Kenya. Results show that more output is sold by peri-urban farmers and unit price of output is also higher in those areas, while in the rural villages long distances from farms to points of sale are a major impediment to the intensity of market orientation. Moreover, the findings show the effects of three other important factors (non-farm income, household size and levels of education), which would otherwise have been ignored had an aggregation of data been made without statistical evidence. The main message from these results is that the analytical toolkit of agricultural economists should be improved in order to generate targeted policy interventions for different socio-economic environments. The desire for this is urgent, considering the need to enhance food supply and ensure better farm incomes in a changing agricultural landscape whereby emerging challenges; particularly climatic and economic shocks may exert unfavourable impacts on input and output markets, if appropriate strategies are not implemented.
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Bibliographic InfoPaper provided by International Association of Agricultural Economists in its series 2009 Conference, August 16-22, 2009, Beijing, China with number 50776.
Date of creation: 2009
Date of revision:
Chow test; rural-urban divide; market analysis; policy; Kenya; Agribusiness; Agricultural and Food Policy; Marketing; Research Methods/ Statistical Methods;
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