442 research outputs found

    Measuring sustainable intensification: combining composite indicators and efficiency analysis to account for positive externalities in cereal production

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    We combine the use of a stochastic frontier analysis framework and composite indicators for farm provision of environmental goods to obtain a farm level composite indicator reflecting sustainable intensification. The novel sustainable intensification composite indicator that is developed accounts for multidimensional market and non-market outputs, namely the economic performance of cereal farms (i.e. market production value) and the associated positive environmental impacts of production (e.g. positive environmental externalities). The composite indicator integrates three different indicators for the provision of environmental goods into a stochastic frontier analysis: a) agri-environmental payments; b) the ratio of rough grassland and permanent pasture area to total utilised agricultural area; and c) land use diversity, as measured by the Shannon Index. We apply this approach to a panel of data for 106 cereal farms in England and Wales during the period 2010–2012. Results indicate that farm rankings on the indicator vary substantially depending on the weight given to the different environmental aspects/indicators, suggesting that single indicators of the provision of environmental goods may not provide a true reflection of the environmental performance of farms. We illustrate a simple approach that captures the aspects of sustainable intensification of farms in a much more holistic way, i.e. by producing a distribution of sustainable intensification scores for each farm reflecting different weightings of evaluation criteria. To reduce the dimensionality of this distribution farms are classified into four distinct groups according to the shape of this distribution, with some farms found to perform well under all combinations of weights for evaluation criteria, while others always perform poorly. This distribution-based analysis provides a greater depth of information than traditional approaches based on the generation of a single sustainable intensification score

    Exploring attitudes to technology adoption for cross compliance in Greek and Lithuanian farmers

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    © The Authors.The fourth agricultural revolution has started with an explosion of online, smart, digital technologies that are now available to support farmers to improve their operations is enabling opportunities for direct integration between agricultural and computer-based systems. However, the wide range of devices and applications available can be overwhelming and the farming community is showing reluctance to adoption of these new technologies. As part of an EU-funded, multi-partner research project we developed, in collaboration with farmers and other stakeholders, a novel on-line system that supports EU farmers and paying agencies to reduce the administrative burden of CAP’s cross compliance record-keeping and inspections. During the co-development phase we interviewed Greek and Lithuanian farmers about their user needs in relation to the novel system and their potential adoption of this new technology. We analysed their qualitative responses and could identify two groups; ‘Optimistic’ and ‘Reluctant’ in relation to their use of novel technologies. In order to achieve up-take of new technologies within the European farming community, we considered these findings using the Theory of Planned Behaviour and concluded that focussing on the ease of adoption and peer usage would encourage the highest adoption rates as opposed to focusing on changing farmer attitudes
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