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A neural network for evaluating environmental impact of decoupling in rural systems

机译:用于评估农村系统中去耦对环境影响的神经网络

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摘要

This paper aims to assess the environmental impact of a specific disposition of the 2003 Common Agricultural Policy reform of the European Union aimed at decoupling governmental payments from production in the agricultural economy of an Italian rural region during the 2005-2007 period. Effects from the removal of policy income support are also evaluated. For this purpose, a Multilayer Feedforward Neural Network is applied to model farmers' behaviour over the period 2003-2007. Results indicate that the choice of decoupling direct payments from production, compared with the hypothesis of maintaining the previous policy regime, allowed a reduction in the use of chemicals in the regional case analysed. Positive environmental effects were relatively higher in farms that introduced crops only for obtaining short-term gains. Moreover, results show that the total removal of direct payments would have brought about stronger environmental benefits than decoupling, by pushing the most penalised farmers to reorient their production towards alternative activities.
机译:本文旨在评估2003年欧盟共同农业政策改革的特定安排对环境的影响,该改革旨在在2005-2007年期间将政府付款与意大利农村地区农业经济的生产脱钩。还评估了取消保单收入支持的影响。为此目的,应用多层前馈神经网络对农民在2003-2007年期间的行为进行建模。结果表明,与维持先前政策体制的假设相比,选择直接将生产与生产直接脱钩,可以减少在分析的区域案例中化学品的使用。在仅为了获得短期收益而引进作物的农场中,对环境的积极影响相对较高。此外,结果表明,完全取消直接付款方式会比脱钩带来更大的环境效益,方法是推动受罚最严重的农民将其生产转向其他活动。

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