Local governments have provided the subsidy policy to help enterprises for their efforts in reducing the emission of carbon dioxide. The current paper discusses the policy decision-making process of a local government on how to determine the best subsidy rate under the consideration of achieving the best comprehensive effect. The policy-making framework introduced to determine the optimal subsidy rate takes three steps. First, a market of distinct products is set up to describe the competitive situation between traditional high-emission product and low-emission green product. Then, the subsidy policy provided by the local government stimulates and supports the companies producing green products and reducing the emissions. Once the subsidy rate is determined, three indicators including government revenue, employment level and pollution emissions used to analyze the influences of the policy upon the government. At last, the selection problem regarded as a multicriteria decision-making (MCDM) problem is solved by Data Envelopment Analysis (DEA) technique. A numerical example is presented to illustrate how our method works.

地方政府提供了补贴政策，以帮助企业减少二氧化碳排放量。本文讨论了地方政府在考虑实现最佳综合效果的情况下如何确定最佳补贴率的政策决策过程。为确定最佳补贴率而引入的决策框架分三个步骤。首先，建立一个独特的产品市场来描述传统高排放产品与低排放绿色产品之间的竞争状况。然后，地方政府提供的补贴政策刺激并支持了生产绿色产品和减少排放的公司。确定补贴率后，包括政府收入在内的三个指标，就业水平和污染排放，用于分析政策对政府的影响。最后，通过数据包络分析（DEA）技术解决了被视为多准则决策（MCDM）问题的选择问题。给出了一个数值示例来说明我们的方法如何工作。