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中文摘要：
在区域层面分解CO2排放强度下降目标是我国能源经济政策关注的热点问题,也是实现国家＂十二五＂CO2排放强度削减目标的有效途径。基于数据包络分析方法 （DEA）,提出一种新的DEA-CEA（DEA based carbon emissions allocation）配额分配模型,该模型将CO2排放配额分配问题视为一种总量受控的资源配置问题,以效率优先为目标,人均公平为约束,将国家排放总量分配给各省。采用2010年数据,基于传统DEA分配模型和DEA-CEA模型分别进行计算,并与2010年实际情况进行对比分析,结果显示：在相同生产水平和减排约束下,DEA-CEA模型分配结果的减排成本更低,减排任务更符合各地区实际情况,从而更有利于地区经济协调发展,地区间分配配额的差距有所减小进而有助于提高减排政策的可执行性。
英文摘要：
The method of achieving the 12th Five-Year Plan’s carbon emission reduction goal becomes an important issue in the field of energy and economic policy.Regional carbon emission allocation is proved to be an effective way to solve this problem.This paper proposes a DEA-CEA（DEA based Carbon Emission Allocation） model for carbon emission allowance allocation in China.The DEA-CEA,which is efficiency-oriented and subjected to population proportion,addresses the problem of distributing the national carbon emission permit among the provinces by treating the permit as a kind of fixed total cost.Both efficiency and fairness are considered in the DEA-CEA model.Two provincial allocation scenarios are proposed based on the data of 2010.The results show that,under the same production level and same emission reduction constraint,the DEA-CEA model has a better performance.Firstly,DEA-CEA model provides an emission reduction scheme with a lower cost.Secondly,such scheme can effectively reflect the characteristics of different regions and balance the regional economic development.Thirdly,the difference on the emission reduction burdens between different regions are reduced under DEA-CEA model,and therefore the related emission reduction policy is more enforceable.
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