煤炭企业主要污染物边际减排成本估算——以SHJT为例

Marginal major pollutants Abatement Cost Estimation in coal enterprises- Taking SHJT as an Example

摘要:

在提高经济质量的背景下,本文基于2011~2017年SHJT主要投入产出数据,借鉴非参数DDF模型,估算其2011~2017年主要污染物的边际减排成本,并结合其“十三五”发展规划,预测其2020年的主要污染物的边际减排成本。研究发现SHJT 2011~2017年间每减少一吨CO2、SO2、NOX、废水、固体废弃物,导致工业产值分别损失0.00685万元、0.04986万元、0.0187万元、0.00558万元和0.00204万元。研究结论不仅能为相关政府部门制定排污权交易价格提供参考依据,还能为SHJT制定切实可行的污染物排放控制与治理策略提供理论依据。

Abstract:

On the background of improving the economic quality,based on the SHJT main input and output data of 2011~2017,The nonparametric Directional Distance Function (DDF) model is used to estimate the marginal major pollutants abatement cost in 2011~2017. Combined with its "13th Five-Year" development plan,the marginal major pollutants abatement cost estimation in 2020 is predicted. According to the study,from 2011 to 2017,with SHJT reducing one ton of CO2,SO2,NOX,waste water and solid waste,industrial output lost 0.00685 million yuan,0.04986 million yuan,0.0187 million yuan,0.00558 million yuan and 0.00204 million yuan respectively. The research conclusion can not only provide reference for the relevant government departments to formulate the trading price of emission rights,but also provide theoretical basis for SHJT to formulate feasible pollutant emission control and governance strategies.