检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
机构地区:[1]湖南商学院工商管理学院,长沙410205 [2]湖南师范大学商学院,长沙410081 [3]湖南商学院计算机与信息工程学院,长沙410205
出 处:《系统工程理论与实践》2015年第7期1896-1904,共9页Systems Engineering-Theory & Practice
基 金:湖南省科技计划重点项目(2011SK2017);国家社会科学基金(14BJL003;13CJY056);教育部人文社科基金(12YJC630014)
摘 要:将资源、能源与环境要素纳入钢铁企业效率评价体系,利用DEA模型与Malmquist生产率指数,对我国16家钢铁上市公司2007-2011年的低碳经济效率及其变化趋势进行了实证研究,结果显示:我国钢铁企业低碳经济技术效率普遍较低,主要源于纯技术效率和规模效率的双重影响;其全要素生产率呈下降趋势,其中技术进步指数有微弱的阻碍作用,技术效率衰退则是主要原因.通过对钢铁企业低碳经济效率影响因素分析表明:能源结构、产品结构与钢铁企业低碳经济效率之间存在显著的负相关关系;技术进步、环保投入与政府规制对钢铁企业低碳经济效率有正向影响,但并不显著.This paper, which has brought the factors of resource, energy and environment into the efficiency evaluation system, empirically studies the low carbon economic efficiency and its variation trend for the 16 iron & steel listed companies in China from 2007 to 2011 by using the DEA method and Malmquist productivity index. The result shows that the technical efficiency is generally low, which is caused by both the pure technical efficiency and the scale efficiency. The Malmquist productivity is in the trend of decreasing, which is mainly caused by the decline of the technical efficiency. The technical progress index has only weakly negative effect. Through the analysis of the influencing factors of the low carbon economic efficiency in iron & steel listed companies, this paper shows that both energy structure and product structure have conspicuous negative correlation. On the other hand, technical progress, environment protection investment and government regulation have no significant positive correlation.
关 键 词:低碳经济效率 影响因素 DEA模型 MALMQUIST生产率指数
分 类 号:X2[环境科学与工程—环境科学]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.223