Unraveling decision-making in irrigated farming in Malawi

Using Q methodology to develop typologies on water transport technology adoption

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Abstract

Despite the strong emphasis on irrigation development in Southern Africa, different initiatives from technology developers, policy developers and development organizations to encourage water transport technology adoption have often been disappointing. The lack of long-term success can partly be contributed to a mismatch between farmer realities and technology packages, national irrigation management and development aid policies. In order to better design and promote adoption of water transport technology alternatives, it is important to create a clearer understanding of the full spectrum in which farmers operate and make farming and investment decisions. This study therefore analyses the diversity in decision-making variables influencing the adoption of water transport technologies, and considers the implications for policy & technology developers, researchers and development facilitators. Following the Q-methodology, four different factors of participants with respective sorting characteristics were identified. Thereafter the study reviews how conventional ways of grouping farmers in policy and development programs hold up against the statistically formed factors. The results show that the definitions used in the conventional way of grouping are inadequate in dealing with the subjectivity surrounding adoption of water transport technologies in Malawi. With this new appreciation for the heterogeneity of farmers comes an understanding that technologies, policies and programmes must move away from the traditional one-size-fits-all approaches to more targeted, tailor-made approaches that are more likely to facilitate efficient, sustainable and long-term uptake of water transport technologies. Policies and technology packages do not have to be tailor-made on individual scale, but should recognize the idea that there are many different kinds of farmers that base their decision-making on different variables. Recognizing this and translating it into contextualized support and technology packages can more effectively encourage uptake of water transport technology by farmers. Also, the study shows that Q-methodology can act as an useful tool to better understand farmer decision-making, feeding policy and technology discussions and development. The research seeks to contribute towards the understanding of farmer decision-making and improved action around implementation of water transport systems.