煤炭企业主要污染物边际减排成本估算——以SHJT企业为例
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摘要
在提高经济质量的背景下,基于2011—2017年SHJT企业主要投入产出数据,借鉴非参数DDF模型估算其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年的主要污染物边际减排成本。研究发现:2011—2017年间SHJT每减少1t CO_2、SO2_、NO _X、废水和固体废弃物,导致其工业产值分别损失0.006 85万元、0.049 86万元、0.018 7万元、0.005 58万元和0.002 04万元。以期为政府相关部门制定排污权交易价格提供参考依据,并为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。
Under the background of improving the economic quality, based on the main input-output data of SHJT enterprises in 2011-2017, this paper estimates the marginal emission reduction cost of its main pollutants by using nonparametric DDF model, and the marginal emission reduction cost of main pollutants in 2020 is forecasted according to its 13 th Five-Year Plan. It is found that the industrial output value of SHJT decreases respectively by 68.5 yuan, 498.6 yuan, 187 yuan, 55.8 yuan and 20.4 yuan, for every 1 ton of CO_2, SO_2, NO_X, wastewater and solid waste in the period 2011-2017, which results in the respectively loss of 68.5 yuan, 498.6 yuan, 187 yuan, 55.8 yuan and 20.4 yuan. The purpose of this paper is to provide reference basis for government departments to formulate emission trading price, and to provide theoretical basis for SHJT to formulate feasible pollutant emission control and control strategies.
Under the background of improving the economic quality, based on the main input-output data of SHJT enterprises in 2011-2017, this paper estimates the marginal emission reduction cost of its main pollutants by using nonparametric DDF model, and the marginal emission reduction cost of main pollutants in 2020 is forecasted according to its 13 th Five-Year Plan. It is found that the industrial output value of SHJT decreases respectively by 68.5 yuan, 498.6 yuan, 187 yuan, 55.8 yuan and 20.4 yuan, for every 1 ton of CO_2, SO_2, NO_X, wastewater and solid waste in the period 2011-2017, which results in the respectively loss of 68.5 yuan, 498.6 yuan, 187 yuan, 55.8 yuan and 20.4 yuan. The purpose of this paper is to provide reference basis for government departments to formulate emission trading price, and to provide theoretical basis for SHJT to formulate feasible pollutant emission control and control strategies.
引文
[1]中华人民共和国国家发展改革委,国家能源局.煤炭工业发展“十三五”规划[EB/OL].(2017-06-05)[2018-04-23]. http://www.ndrc.gov.cn/fzgggz/fzgh/ghwb/gjjgh/201706/t20170605_850004.html.
[2]樊金璐,孙键,赵娆.我国煤炭行业全生命周期碳排放与碳流通图[J].煤炭经济研究,2017,37(9):34-37.
[3] LEE J D, PARK J B, KIM T Y. Estimation of the shadow prices of pollutants with production/environment inefficiency taken into account:a nonparametric directional distance function approach[J].Journal of Environmental Management, 2002, 64(4):365-75.
[4] HAILU A. Pollution abatement and productivity performance of regional Canadian pulp and paper industries[J].Journal of Forest Economics, 2003, 9(1):5-25.
[5]袁鹏,程施.我国工业污染物的影子价格估计[J].统计研究,2011,28(9):66-73.
[6]涂正革.工业二氧化硫排放的影子价格:一个新的分析框架[J].经济学,2010,9(1):259-282.
[7] MARKLUND P O, SAMAKOVLIS E. What is driving the EU burden-sharing agreement:efficiency or equity?[J].Journal of Environmental Management, 2007, 85(2):317-29.
[8] MARADAN D, VASSILIEV A. Marginal costs of carbon dioxide abatement:empirical evidence from cross-country analysis[J].Swiss Journal of Economics&Statistics, 2005, 141(3):377-410.
[9]魏楚.中国城市CO2边际减排成本及其影响因素[J].世界经济,2014,37(7):115-141.
[10]宋杰鲲,曹子建,张凯新.我国省域二氧化碳影子价格研究[J].价格月刊, 2016(9):6-11.
[11]刘明磊,朱磊,范英.我国省级碳排放绩效评价及边际减排成本估计:基于非参数距离函数方法[J].中国软科学,2011(3):106-114.
[12]袁鹏,程施.我国工业污染物的影子价格估计[J].统计研究,2011,28(9):66-73.
[13]陈立芸,刘金兰,王仙雅,等.基于DDF动态分析模型的边际碳减排成本估算:以天津市为例[J].系统工程, 2014(9):74-80.
[14] F?RE R, GROSSKOPF S, PASURKA C A. Substitutability among undesirable outputs[J]. Applied Economics, 2012, 44(1):39-47.
[15]查建平,贺腊梅,郭海峰.旅游景区碳排放绩效及边际减排成本估算[J].地域研究与开发,2017,36(2):145-150.
[16]陈诗一.工业二氧化碳的影子价格:参数化和非参数化方法[J].世界经济, 2010(8):93-111.
[17] CHAMBERS R G, CHUNG Y, F?RE R.Benefit and distance functions[J].Journal of Economic Theory, 1995, 70(2):407-419.
[18] F?RE R, GROSSKOPF S, NOH D W, et al. Characteristics of a polluting technology:theory and practice[J].Journal of Econometrics, 2005, 126(2):469-492.
[2]樊金璐,孙键,赵娆.我国煤炭行业全生命周期碳排放与碳流通图[J].煤炭经济研究,2017,37(9):34-37.
[3] LEE J D, PARK J B, KIM T Y. Estimation of the shadow prices of pollutants with production/environment inefficiency taken into account:a nonparametric directional distance function approach[J].Journal of Environmental Management, 2002, 64(4):365-75.
[4] HAILU A. Pollution abatement and productivity performance of regional Canadian pulp and paper industries[J].Journal of Forest Economics, 2003, 9(1):5-25.
[5]袁鹏,程施.我国工业污染物的影子价格估计[J].统计研究,2011,28(9):66-73.
[6]涂正革.工业二氧化硫排放的影子价格:一个新的分析框架[J].经济学,2010,9(1):259-282.
[7] MARKLUND P O, SAMAKOVLIS E. What is driving the EU burden-sharing agreement:efficiency or equity?[J].Journal of Environmental Management, 2007, 85(2):317-29.
[8] MARADAN D, VASSILIEV A. Marginal costs of carbon dioxide abatement:empirical evidence from cross-country analysis[J].Swiss Journal of Economics&Statistics, 2005, 141(3):377-410.
[9]魏楚.中国城市CO2边际减排成本及其影响因素[J].世界经济,2014,37(7):115-141.
[10]宋杰鲲,曹子建,张凯新.我国省域二氧化碳影子价格研究[J].价格月刊, 2016(9):6-11.
[11]刘明磊,朱磊,范英.我国省级碳排放绩效评价及边际减排成本估计:基于非参数距离函数方法[J].中国软科学,2011(3):106-114.
[12]袁鹏,程施.我国工业污染物的影子价格估计[J].统计研究,2011,28(9):66-73.
[13]陈立芸,刘金兰,王仙雅,等.基于DDF动态分析模型的边际碳减排成本估算:以天津市为例[J].系统工程, 2014(9):74-80.
[14] F?RE R, GROSSKOPF S, PASURKA C A. Substitutability among undesirable outputs[J]. Applied Economics, 2012, 44(1):39-47.
[15]查建平,贺腊梅,郭海峰.旅游景区碳排放绩效及边际减排成本估算[J].地域研究与开发,2017,36(2):145-150.
[16]陈诗一.工业二氧化碳的影子价格:参数化和非参数化方法[J].世界经济, 2010(8):93-111.
[17] CHAMBERS R G, CHUNG Y, F?RE R.Benefit and distance functions[J].Journal of Economic Theory, 1995, 70(2):407-419.
[18] F?RE R, GROSSKOPF S, NOH D W, et al. Characteristics of a polluting technology:theory and practice[J].Journal of Econometrics, 2005, 126(2):469-492.