摘要
水行业是指由原水、供水、节水、排水、污水处理及水资源回收利用等构成的产业链.水行业是最重要的城市基本服务行业之一,改革开放以来,随着中国城市化进程的加快,水行业的重要性日益凸显.为了寻找企业效率与业务类型之间的关联,本文选取2001-2016年的水行业上市公司为样本,以主营业务收入、净利润为产出指标,以总资产、主营业务成本、公司员工数量为投入指标来定义企业的效率.基于DEA模型评价多投入多产出决策单元效率具有显著优势,选取DEA模型来分析水行业上市公司效率.结合中国科技水平不断提高,行业结构不断升级的现状,着重分析水行业上市公司效率与业务类型及其变化的关系,佐证了水行业上市公司其企业效率与业务类型之间存在较强的相关性,从而帮助不同企业有针对性地持续更新技术,规范管理制度,更快成长.
The water industry refers to the industrial chain composed of raw water,water supply,water saving,drainage,sewage treatment and water resources recycling and so on.Water industry is one of the most important urban basic services industries.Since the reform and opening up,with the acceleration of urbanization in China,the importance of water industry is increasingly prominent.To find the correlation between enterprise efficiency and business type,we take the listed companies in the water industry from 2001 to 2016 as samples,and we define the efficiency of enterprises with the main business income and net profit as output index,total assets,main business costs and the number of employees as input index.Since DEA evaluation model of multi input and multi output efficiency of decision making units has a significant advantage,we select DEA model to analyze the efficiency of listed companies.With the improvement of China's scientific and technological level,he status quo of the upgrading of the industry structure we analyze the relationship between the efficiency of listed companies and the types of business in the water industry.It proves that there is a strong correlation between enterprise efficiency and business types of listed companies in the water industry,so as to help different companies to continuously update technology,standardize management system and grow faster.
作者
杨卓璇
马源培
李慧嘉
YANG Zhuo-xuan;MA Pei-yuan;LI Hui-jia(School of Economics and Management,North China Electric Power University,Beijing 102206,China;School of Science,Beijing University of Posts and Telecommunications,Beijing 100876,China)
出处
《聊城大学学报（自然科学版）》
2020年第6期12-26,共15页
Journal of Liaocheng University:Natural Science Edition
基金
国家自然科学基金项目(71871233)
北京市自然科学基金项目(9182015,1202020)资助。
