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·药事管理·

        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                                                                      Δ


        许洪皓 ,魏 岚,李 媛,陈晓丽,刘 娜,李树祥(中国药科大学国际医药商学院,南京 211198)
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              *
        中图分类号 R95;F406          文献标志码 A          文章编号 1001-0408(2021)04-0385-07
        DOI  10.6039/j.issn.1001-0408.2021.04.01
        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ROST
        Content Mining 6.0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。
        关键词 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

        Text Analysis of Enterprise Social Responsibility Report of Pharmaceutical Industry in China: Taking
        Listed Companies as an Example
        XU Honghao,WEI Lan,LI Yuan,CHEN Xiaoli,LIU Na,LI Shuxiang(School of International Pharmaceutical
        Business,China Pharmaceutical University,Nanjing 211198,China)

        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
           Δ 基金项目:国家自然科学基金资助项目(No.71602188);国家社
                                                            analysis showed that,“development”,“protection” and
        会科学基金重大项目(No.15ZDB167)
                                                           “targeted poverty reduction”were three high-frequency words
           *本科生。研究方向:医药产业与企业社会责任。E-mail:xh-
        hcpu13347832309@126.com                             with high centrality in the semantic analysis network of social
           # 通信作者:讲师,博士。研究方向:医药产业与组织网络分析。                   responsibility text,the middle centrality was 5.555,1.695,
        E-mail:sxli2010@126.com                             1.521 respectively;“emission”and“testing”were two key


        中国药房    2021年第32卷第4期                                               China Pharmacy 2021 Vol. 32 No. 4  ·385 ·
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