
Sustainable Intensification (SI) of agriculture has recently received widespread political attention, in both the UK and internationally. The concept recognises the need to simultaneously raise yields, increase input use efficiency and reduce the negative environmental impacts of farming systems to secure future food production and to sustainably use the limited resources for agriculture. The objective of this paper is to outline a policy-making tool to assess SI at a farm level. Based on the method introduced by Kuosmanen and Kortelainen (2005), we use an adapted Data Envelopment Analysis (DEA) to consider the substitution possibilities between economic value and environmental pressures generated by farming systems in an aggregated index of Eco-Efficiency. Farm level data, specifically General Cropping Farms (GCFs) from the East Anglian River Basin Catchment (EARBC), UK were used as the basis for this analysis. The assignment of weights to environmental pressures through linear programming techniques, when optimising the relative Eco-Efficiency score, allows the identification of appropriate production technologies and practices (integrating pest management, conservation farming, precision agriculture, etc.) for each farm and therefore indicates specific improvements that can be undertaken towards SI. Results are used to suggest strategies for the integration of farming practices and environmental policies in the framework of SI of agriculture. Paths for improving the index of Eco-Efficiency and therefore reducing environmental pressures are also outlined.
Conservation of Natural Resources, Databases, Factual, Agricultural Sciences, Agriculture, Environment, United Kingdom, Sustainable Intensification, Data Envelopment Analysis, Economics and Business, Eco-Efficiency, Double bootstrapped truncated regression, Humans, Environmental pressures, Policy Making
Conservation of Natural Resources, Databases, Factual, Agricultural Sciences, Agriculture, Environment, United Kingdom, Sustainable Intensification, Data Envelopment Analysis, Economics and Business, Eco-Efficiency, Double bootstrapped truncated regression, Humans, Environmental pressures, Policy Making
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