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Environmental and cost efficiency analysis of Electric Power Generation using DEA-MB model

机译:使用DEA-MB模型的电力发电环境与成本效率分析

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This paper applies a Data Envelopment Analysis procedure that incorporates the Mass Balance to estimate the allocations of coal, gas and oil inputs that minimize carbon emissions and costs. Findings for our three-input (coal, gas and oil) sample show that there would be a 79% increase in cost for moving from the cost efficient point to the carbon efficient point, while there would be a 38% increase in carbon for moving from the carbon efficient point to the cost efficient point. These conclusions indicate that, in general, the gap between efficient cost and efficient environmental production is wide, and would require substantial policy intervention or market adjustment before it could be narrowed. The paper also extends the application of the Data Envelopment Analysis- Mass Balance (DEA-MB) methodology by illustrating how the procedure can be used to identify the consequences of specific decisions for individual plants. The methodology for detailed plant analysis that offers enhanced analytical decision-making at the individual plant level for regulators and managements.
机译:本文应用结合了质量平衡来估算的煤,天然气和石油输入,减少二氧化碳排放量和成本的分配一个数据包络分析过程。对于我们的三输入(煤,天然气和石油)的样品显示结果会有成本增加,用于从成本有效点移动到碳效率点处的79%,而将有碳增加用于移动38%从碳有效点的成本有效点。这些结论表明,在一般情况下,有效的成本和高效环保生产之间的间隙宽度,并且需要大量的政策干预和市场调节它可以被缩小了。文中还通过说明的程序如何可以用于识别各个工厂的具体决定的后果扩展数据包络分析 - 质量平衡(DEA-MB)方法的应用。这提供了增强的分析决策的个体工厂级监管机构和管理人员进行详细的植物分析的方法。

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