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Measuring economic and environmental efficiency for agricultural zones in Iraq using data envelopment analysis

机译:使用数据包络分析测量伊拉克农业区的经济和环境效率

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Data envelopment analysis (DEA) is a non-parametric linear programming based on method for evaluating performance of similar production units such as agricultural firms. Although the method is already extensively applied in many areas of economics, its use in environmental economics and related fields is still limited. The productivity of the agriculture sector in Iraq has yet to reach an acceptable level to control resources and increase production to meet the modern century requirements. 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. Accordingly, this paper proposes a novel approach to measure using DEA to evaluate five zones in production strategic crops. The significance of this objective lies in the fact that some of the zones have limitations while others adversely impact their environment. This paper also employs a model to determine the efficiency of one over zone over the others and to improve optimal mix of the resources and paths to improve the index of technical efficiency and eco efficiency. Incorporating provision of environmental goods as one of the outputs of the farm and reducing environmental pressures are also outlined.
机译:数据包络分析(DEA)是一种基于非参数线性规划的方法,用于评估类似生产单位(如农业公司)的绩效。尽管该方法已经广泛应用于经济学的许多领域,但在环境经济学和相关领域中的使用仍然受到限制。伊拉克农业部门的生产力尚未达到可接受的水平,无法控制资源并增加产量以满足现代的要求。该概念认识到需要同时提高产量,提高投入使用效率并减少耕作制度对环境的负面影响,以确保未来的粮食生产并可持续地将有限的资源用于农业。因此,本文提出了一种使用DEA进行评估的新方法,以评估战略性生产作物中的五个区域。该目标的意义在于,某些区域存在局限性,而另一些区域则对其环境产生不利影响。本文还采用了一种模型来确定一个跨区域的效率,并确定资源和路径的最佳组合,以提高技术效率和生态效率的指标。还概述了将环境产品的提供作为农场的一项产出,并减轻环境压力。

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