﻿ 基于灰色理论的外部性控制指标重要性分析

# 基于灰色理论的外部性控制指标重要性分析Analysis on Importance of Pollution Controlling Based on Grey Correlation

Abstract: Pollution controlling’s incentive and monitoring are important issues in environmental manage-ment. However, in the mechanism of pollution controlling, the importance of pollution controlling indexes determines the selection of controlling order and efficiency of pollution controlling, man-agement authorities, to sewage enterprises’ pollution-control behaviour, often demanding evidence and identify which ones are more important incentive and monitoring indicators. 3 pollution controlling’s incentive and monitor indicators are selected: pollution controlling quality, pollution controlling costs, on-time completion rate, setting 4 sets of variable factors, modelling and analysis based on grey correlation theory and doing research, concluding that the relative importance of indicators, is expected to offer reference for effectively motivating enterprises to control pollution and supervising authorities.

1. 引言

“十三五”期间，我国党中央和国务院把推动环境污染控制与生态修复、科技创新与可持续发展作为重要任务。加大生态环境保护力度与加快监管体制全面实施，使各地生态环境保护意识不断增强，“绿水青山就是金山银山”已成为全社会保护生态环境的共识。其中，很大一部分涉及到环境负外部性控制的相关指标的监控与测评。实践中，环境负外部性控制(亦为污染控制)的指标纷繁复杂，若能择其重要指标，达到牵一发而动全身之事半功倍的效果，就必然会对指标重要性进行评判，并有所取舍。

2. 排污企业控污指标灰关联分析模型

3. 数据示例

${w}_{0}=\left(0.803,0.852,0.869,0.901\right)$

${w}_{1}=\left(0.822,0.875,0.888,0.959\right)$

${w}_{2}=\left(0.873,0.786,0.870,0.789\right)$

${w}_{3}=\left(1.21,1.25,1.18,1.28\right)$

$\psi \left({X}_{\left(0\right)},{X}_{\left(1\right)}\right)=0.425634$

$\psi \left({X}_{\left(0\right)},{X}_{\left(2\right)}\right)=0.267236$

$\psi \left({X}_{\left(0\right)},{X}_{\left(3\right)}\right)=0.307130$

4. 结论

2017年辽宁省科技厅自然科学基金项目；项目号：20170540439；项目名称：基于中微观的污染控制模型体系构建。

NOTES

*通讯作者。

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