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传统的数据包络分析(DEA)单纯依靠自评体系来对决策单元进行评价,难以实现充分排序,一种有效的补救方式是在经典DEA模型上混合利众型策略,将自评和互评相结合。本文利用此思想对中部六省79个市级政府2011年低碳治理效率进行评价,数值分析表明以黄山为代表的旅游型城市的效率较高;进一步,利用MIV方法分析各指标对效率值的相对影响程度,结果是工业废水、废气排放量和单位GDP能耗对效率值的影响较大。
Traditional data envelopment analysis (DEA) relies solely on the self-assessment system to evaluate decision-making units, which makes it difficult to achieve a sufficient ranking. An effective remedy is to blend Rezero’s strategies with classical DEA models, Combine. This paper uses this idea to evaluate the 2011 low-carbon governance efficiency of 79 municipal governments in six provinces in Central China. The numerical analysis shows that the tourist cities represented by Huangshan are more efficient. Furthermore, the MIV method is used to analyze the efficiency of each index The relative degree of impact, the result is the impact of industrial wastewater, emissions and energy consumption per unit of GDP greater impact on efficiency.