我国医药制造业企业社会责任报告文本分析——以上市公司为例
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篇名: | 我国医药制造业企业社会责任报告文本分析——以上市公司为例 |
TITLE: | Text Analysis of Enterprise Social Responsibility Report of Pharmaceutic al Industry in China :Taking Listed Com- panies as an Example |
摘要: | 目的:为医药制造业企业更好地履行社会责任提供参考。方法:以沪深股市上市的医药制造业企业为对象,应用ROSTContentMining6.0软件对纳入企业2017-2019年发布的社会责任文本和环境保护文本按照时间、所有制和生产药品类型等3个维度进行分类文本分析,并对其语义网络和节点中心度进行分析。结果:由纳入企业的社会责任文本可见,从时间维度来看,纳入企业在2017-2019中较为关注“员工“”社会责任“”发展”,且3年的高频词较为稳定;从所有制维度来看,国有控股企业更关注“发展“”精准扶贫”,私人控股企业更关注“员工”,集体控股企业更关注“社会责任”;从生产药品类型维度来看,中药制药企业的“精准扶贫”词频更高。由纳入企业的环境保护文本可见,从时间维度来看,纳入企业近年来对于环境保护越来越重视,并且在文本中对于环境保护的描述也更为细致;从所有制维度来看,私人控股企业相对于集体控股企业和国有控股企业在环境保护方面更加关注;从生产药品类型维度来看,由于生产药品类型的不同,化学药、中药、生物制药、原料药生产企业在污染物及其处理工艺都有各自的特点。语义网络和节点中心度分析结果显示“,发展“”保护“”精准扶贫”是社会责任文本语义分析网络中中间中心度较高的3个高频词,中间中心度分别为5.555、1.695、1.521;而“排放”和“监测”是环境保护文本语义分析网络中中间中心度较高的两个关键词,中间中心度分别为3.856、1.914,进一步反映出纳入企业在旅行社会责任和环境保护方面对上述问题的关注度较高。结论:我国上市医药制造业企业对于社会责任有着较为广泛的共识,较好地履行了社会责任,并很好地结合了当前的社会热点;对于环境保护,作为高污染行业的医药制造业企业也较好地履行了环保职责。 |
ABSTRACT: | OBJECTIVE:To provide reference for pharmaceutical enterprises to better fulfill their social responsibilities . METHODS:Taking the pharmaceutical enterprises listed in Shanghai and Shenzhen stock markets as the research objects ,the social responsibility texts and environmental protection texts of the included enterprises from 2017 to 2019 were classified and analyzed according to the three dimensions of time ,ownership and drug production type by using ROST Content Mining 6.0 software. The semantic network and node centrality were analyzed. RESULTS :From the social responsibility texts of the included enterprises,it could be seen that from the perspective of time dimension ,the included enterprises paid more attention to “employees”,“social responsibility ”and“development”in 2017-2019,and the high-frequency words in the three years were relatively stable. From the perspective of ownership ,state-owned holding enterprises paid more attention to “development”and “targeted poverty reduction ”,while private holding enterprises paid more attention to “employees”,and collective holding enterprises paid more attention to “social responsibility ”. From the perspective of drug production type ,the word frequency of “targeted poverty reduction ”of TCM pharmaceutical enterprises was higher. From the environmental protection texts of the included enterprises,it could be seen that from the time dimension ,the included enterprises paid more and more attention to environmental protection in recent years ,and the description of environmental protection in the texts was more detailed. From the perspective of ownership,private holding enterprises paid more attention to environmental protection than collective holding enterprises and state-owned enterprises. From the perspective of drug production type ,due to the different types of drugs ,chemical drugs ,TCM, biological drugs and active pharmaceutical ingredients enterprises had their own characteristics in pollutants and their treatment processes. The results of semantic network and node centrality analysis showed that ,“development”,“protection” and “targeted poverty reduction ”were three high-frequency words with high centrality in the semantic analysis network of social responsibility text ,the middle centrality was 5.555,1.695,1.521 respectively;“emission”and“testing”were two key words with high centrality in the semantic analysis network of environmental protection texts ,the middle centrality was 3.856, 1.914 respectively,which further reflected that the included enterprises paid more attention to the above issues in terms of social responsibility performance and environmental protection. CONCLUSIONS :The listed pharmaceutical enterprises have a broad consensus on social responsibility in China ,and have well fulfilled their social responsibility ,which is well combined with the current social hot spots. For environmental protection ,as a high pollution industry ,the pharmaceutical enterprises also performs the responsibility of environmental protection. |
期刊: | 2021年第32卷第04期 |
作者: | 许洪皓,魏岚,李媛,陈晓丽,刘娜,李树祥 |
AUTHORS: | XU Honghao ,WEI Lan,LI Yuan,CHEN Xiaoli,LIU Na,LI Shuxiang |
关键字: | 药品制造业;企业社会责任;环境保护;文本分析;语义网络;上市公司 |
KEYWORDS: | Pharmaceutical enterprises ;Social responsibility ;Environmental protection ;Text nalysis ;Somantic network ; |
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