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针对湖域工业点源初始排污权定额配置问题,以“公平、效率、可行”为配置原则,通过引入权重系数的字典序最小化最大值方法,构建了基于多主体多种初始排污权多期配置的字典序定额模型,并给出求解算法。进而以江苏省太湖流域27类主要工业行业的初始氨氮排污权单期配置为例,从行业初始排污权短缺率与行业治污效益两方面,对比分析了基于等短缺率定额模型、等环境容量比例定额模型、字典序定额模型计算得到的3种定额配置方案效果。结果表明:相对于另外两种定额模型,字典序定额模型所得配置方案可实现平均行业短缺率最小(46.13%),平均行业治污效益最大。研究也表明在“公平、效率、可行”配置原则下,字典序定额配置方法能够更为有效的促进企业治污技术提标升级和区域产业结构升级。
According to the principle of “fairness, efficiency and feasible”, aiming at the allocation of initial emission right of industrial point source in lake area, a method of minimizing the maximum value of dictionary order of weight coefficients is proposed, Multi-period configuration dictionary quota quota model, and gives the solution algorithm. Taking the single-phase allocation of initial ammonia-nitrogen emission rights of 27 major industrial sectors in Taihu Lake Basin of Jiangsu Province as an example, this paper compares the initial emission rights of industry and the industrial pollution-control benefits from two aspects: Scale quota model, dictionary quota quota model calculated by the three kinds of quota allocation effect. The results show that compared with the other two quota models, the lexicographic quota model can achieve the lowest average ratio (46.13%) of the industry, and the average industry pollution control benefit is the highest. The research also shows that under the principle of “fairness, efficiency and practicability”, the dictionary quota allocation method can more effectively promote the upgrading of corporate pollution control technology and the upgrading of regional industrial structure.