A nonparametric distance function approach with endogenous direction for estimating marginal abatement costs of CO_(2) emissions
作者机构：College of Economics and Management&Research Centre for Soft Energy ScienceNanjing University of Aeronautics and AstronauticsNanjing211106China School of Economics and Management&Institute for Energy Economics and PolicyChina University of PetroleumQingdao266580China
出 版 物：《Journal of Management Science and Engineering》 (管理科学学报（英文版）)
年 卷 期：2022年第7卷第2期
页 面：330-345页
学科分类：12[管理学] 120202[管理学-企业管理（含：财务管理、市场营销、人力资源管理）] 0202[经济学-应用经济学] 02[经济学] 1202[管理学-工商管理] 0201[经济学-理论经济学] 1201[管理学-管理科学与工程(可授管理学、工学学位)]
基 金：support provided by the National Natural Science Foundation of China(nos.71804066&71625005)
主 题：Marginal abatement cost Carbondioxideemissions Directional distance function Weak disposability Dataenvelopment analysis
摘 要：The directional distance function(DDF)framework has been widely used to estimate the marginal abatement cost(MAC)of CO_(2)emissions to support decision-making in environmental sustainability and climate change *** the use of DDF,an important task is mapping evaluated entities towards a realistic production technology *** study develops a new nonparametric approach for estimating the MAC of CO_(2)*** approach incorporates the optimal endogenous direction into an enhanced environmental production technology and has three ***,it avoids the arbitrariness in mapping ***,it captures the heterogeneity in optimization paths across different decision-making units(DMUs).Third,it generates more reliable benchmarks for estimating MAC by constructing an environmental technology frontier that is consistent with the material balance *** apply the approach to study China s thermal power industry and find clear heterogeneity in MACs and optimization paths at the province *** results on the optimal endogenous directions show that the DMUs prefer to increase both desirable output and CO_(2)emissions when CO_(2)emissions are *** with other approaches reveal that arbitrarily mapping exogenous directions and technology representations are likely to generate distorted and unrealistic MACs.
维普期刊数据库