基于三阶段DEA模型的文化传媒类上市公司经营效率研究
|
摘要
随着文化产业在国民经济中所占比重越来越大,文化产业相关政策密集出台予以扶持.研究选取我国31家文化传媒类上市公司作为样本,利用三阶段DEA模型对其经营效率进行分析和评价.结果表明:在剔除外部环境因素的影响后,这31家文化传媒类上市公司无论是综合效率还是纯技术效率和规模效率都有所提高;纯技术效率对公司综合效率的影响更为直接,其效率提升或下降影响着综合效率提升或下降;文化传媒类上市公司经营效率水平受外部环境因素影响较大,分别表现为GDP的增长和政府扶持力度的加大对经营效率的提高具有消极作用,而居民消费水平的提高对经营效率的提高有积极作用.研究就此提出:应把握发展契机、协调与其他产业之间的关系、继续增加技术研发方面的投入、不断创新投入途径、适度缩减政府财政扶持力度等政策建议.
With the increasing proportion of cultural industry in the national economy,policies related to cultural industry have been intensively introduced to support it. This study selects 31 listed cultural media companies in China as samples, and uses a three-stage DEA model to analyze and evaluate their operating efficiency. The results show that after removing the influence of external environmental factors, the 31 listed cultural media companies have improved their technical efficiency, pure technical efficiency and scale efficiency.Pure technical efficiency has a more direct impact on the company's technical efficiency. Its efficiency increase or decrease affects the technical efficiency increase or decrease. The operating efficiency level of cultural media listed companies is greatly influenced by external environmental factors. The growth of GDP and the increase of government support have negative effects on the improvement of operating efficiency, while the improvement of residents' consumption level has positive effects on the improvement of operating efficiency. This study puts forward: we should grasp the opportunity of development, coordinate the relationship with other industries, continue to increase investment in technology research and development, continuously innovate ways of investment, and moderately reduce the government's financial support.
With the increasing proportion of cultural industry in the national economy,policies related to cultural industry have been intensively introduced to support it. This study selects 31 listed cultural media companies in China as samples, and uses a three-stage DEA model to analyze and evaluate their operating efficiency. The results show that after removing the influence of external environmental factors, the 31 listed cultural media companies have improved their technical efficiency, pure technical efficiency and scale efficiency.Pure technical efficiency has a more direct impact on the company's technical efficiency. Its efficiency increase or decrease affects the technical efficiency increase or decrease. The operating efficiency level of cultural media listed companies is greatly influenced by external environmental factors. The growth of GDP and the increase of government support have negative effects on the improvement of operating efficiency, while the improvement of residents' consumption level has positive effects on the improvement of operating efficiency. This study puts forward: we should grasp the opportunity of development, coordinate the relationship with other industries, continue to increase investment in technology research and development, continuously innovate ways of investment, and moderately reduce the government's financial support.
引文
[1]王家庭,张容.基于三阶段DEA模型的中国31省市文化产业效率研究[J].中国软科学,2009(09):75-82.
[2]郭淑芬,郝言慧,王艳芬.文化产业上市公司绩效评价——基于超效率DEA和Malmquist指数[J].经济问题,2014(02):75-78.
[3]髙军,吴欣桐.文化产业的要素投入与发展效应研究[J].西南民族大学学报(人文社科版),2016, 37(12):165-169.
[4]赵琼,姜惠宸.文化产业上市公司效率评价及影响因素分析一一基于DEA模型的分析框架[J].经济问题,2014(09):52-58+71.
[5]郭淑芬,郭金花.中国文化产业的行业效率比较及省域差异研究[J].中国科技论坛,2017(05):71-79.
[6]杨晓琳.中国31省份文化产业投入产出效率实证研究——基于三阶段DEA模型及超效率模型[J].艺术百家,2017, 33(05):47-52.
[7]邱溆,杨丽.基于DEA的海南文化产业投入产出效率动态评价[J].当代经济,2017(18):44-46.
[8] Zuhdi U. Analyzing the influence of creative industry sector to the national economic structural changes by decomposition analysis:the case of indonesia[J]. International Congress on Interdisciplinary Business and Social Sciences, 2012, 65:980-985.
[9] De Propris L. How are creative industries weathering the crisis[J]. Cambridge Journal of Regions Economy and Society, 2013, 6(1):23-35.
[10] Eried, Lovell, Schmidt. Accounting for environment effects and statistical noise in data envelopment analysis[J]. Journal of Productivity Analysis, 2002,(17).
[11]成刚.数据包络分析方法与MaxDEA软件[M].北京:知识产权出版社,2014:32-33.
[12]郭四代,仝梦,郭杰,韩□.基于三阶段DEA模型的省际真实环境效率测度与影响因素分析[J].中国人口.资源与环境,2018, 28(03):106-116.
[13]余诺华.东六省一市文化产业效率的实证研究一一基于三阶段DEA模型[J].科技和产业,2016,16(06):47-50+58.
[14]张桂玲.基于DEA的文化产业投融资效率研究[J].会计之友,2016(21):80-83.
[15]蒋萍,王勇全.口径中国文化产业投入产出效率研究一一基于三阶段DEA模型和超效率DEA模型的分析[J].数量经济技术经济研究,2011,28(12):69-81.
[16]袁海,吴振荣.中国省域文化产业效率测算及影响因素实证分析[J].软科学,2012, 26(03):72-77.
[17]王学军.基于三阶段DEA模型的甘肃省区域文化产业效率研究[J].统计与信息论坛,2015, 30(07):45-50.
[18]赵洪涛.网络游戏产业上市公司绩效评价——基于DEA模型和Malmquist指数[J].发展改革理论与实践,2017(09):21-27.
[19]范晓男,冯冲,张凤海.中国城市文化产业效率的区域差异性——基于三阶段DEA模型的分析[J].开发研究,2017(04):102-107.
[20]何里文,袁晓玲,邓敏慧.我国十大城市群文化产业投入产出效率研究[J].统计与决策,2015(01):134-137.
[21]高云虹,李学慧.西部地区文化产业效率研究[J].财经科学,2017(02):112-121.
[22]倪蓉.江苏省文化产业投入产出绩效研究[J].中国高新技术企业,2015(35):5-7.
[23]朱尔茜.文化产业上市公司经营绩效评价一一基于81家公司财务数据的实证分析[J].技术经济与管理研究,2017(01):124-128.
[24]高乐华,周菲菲.文化市场绩效评价和影响因素[J].改革,2017(09):141-148.
[25]赵阳,魏建.我国区域文化产业技术效率研究——基于随机前沿分析模型的视角[J].财经问题研究,2015(01):30-36.
[26] Abdullahi Iliyasu, Zainal Abidin Mohamed. Technical efficiency of tank culture systems in peninsular malaysia:an application of data envelopment analysis[J]. Aquaculture Economics&Management, 2015, 19(4):38-41.
[27] Jung-fu Huang. Effects of culture area, stocking density, and shrimp and fish polyculture on the cost efficiency of hard clam, meretrix meretrix, culture:a case study of hard clam farms in Yunlin,Taiwan[J]. J World Aquacult Soc, 2016, 47(4):38-41.
[28] Lawrence T B, Phillips N. Understanding cultural industries[J]. Journal of Management Inquiry,2002:11(4):430-441.
[2]郭淑芬,郝言慧,王艳芬.文化产业上市公司绩效评价——基于超效率DEA和Malmquist指数[J].经济问题,2014(02):75-78.
[3]髙军,吴欣桐.文化产业的要素投入与发展效应研究[J].西南民族大学学报(人文社科版),2016, 37(12):165-169.
[4]赵琼,姜惠宸.文化产业上市公司效率评价及影响因素分析一一基于DEA模型的分析框架[J].经济问题,2014(09):52-58+71.
[5]郭淑芬,郭金花.中国文化产业的行业效率比较及省域差异研究[J].中国科技论坛,2017(05):71-79.
[6]杨晓琳.中国31省份文化产业投入产出效率实证研究——基于三阶段DEA模型及超效率模型[J].艺术百家,2017, 33(05):47-52.
[7]邱溆,杨丽.基于DEA的海南文化产业投入产出效率动态评价[J].当代经济,2017(18):44-46.
[8] Zuhdi U. Analyzing the influence of creative industry sector to the national economic structural changes by decomposition analysis:the case of indonesia[J]. International Congress on Interdisciplinary Business and Social Sciences, 2012, 65:980-985.
[9] De Propris L. How are creative industries weathering the crisis[J]. Cambridge Journal of Regions Economy and Society, 2013, 6(1):23-35.
[10] Eried, Lovell, Schmidt. Accounting for environment effects and statistical noise in data envelopment analysis[J]. Journal of Productivity Analysis, 2002,(17).
[11]成刚.数据包络分析方法与MaxDEA软件[M].北京:知识产权出版社,2014:32-33.
[12]郭四代,仝梦,郭杰,韩□.基于三阶段DEA模型的省际真实环境效率测度与影响因素分析[J].中国人口.资源与环境,2018, 28(03):106-116.
[13]余诺华.东六省一市文化产业效率的实证研究一一基于三阶段DEA模型[J].科技和产业,2016,16(06):47-50+58.
[14]张桂玲.基于DEA的文化产业投融资效率研究[J].会计之友,2016(21):80-83.
[15]蒋萍,王勇全.口径中国文化产业投入产出效率研究一一基于三阶段DEA模型和超效率DEA模型的分析[J].数量经济技术经济研究,2011,28(12):69-81.
[16]袁海,吴振荣.中国省域文化产业效率测算及影响因素实证分析[J].软科学,2012, 26(03):72-77.
[17]王学军.基于三阶段DEA模型的甘肃省区域文化产业效率研究[J].统计与信息论坛,2015, 30(07):45-50.
[18]赵洪涛.网络游戏产业上市公司绩效评价——基于DEA模型和Malmquist指数[J].发展改革理论与实践,2017(09):21-27.
[19]范晓男,冯冲,张凤海.中国城市文化产业效率的区域差异性——基于三阶段DEA模型的分析[J].开发研究,2017(04):102-107.
[20]何里文,袁晓玲,邓敏慧.我国十大城市群文化产业投入产出效率研究[J].统计与决策,2015(01):134-137.
[21]高云虹,李学慧.西部地区文化产业效率研究[J].财经科学,2017(02):112-121.
[22]倪蓉.江苏省文化产业投入产出绩效研究[J].中国高新技术企业,2015(35):5-7.
[23]朱尔茜.文化产业上市公司经营绩效评价一一基于81家公司财务数据的实证分析[J].技术经济与管理研究,2017(01):124-128.
[24]高乐华,周菲菲.文化市场绩效评价和影响因素[J].改革,2017(09):141-148.
[25]赵阳,魏建.我国区域文化产业技术效率研究——基于随机前沿分析模型的视角[J].财经问题研究,2015(01):30-36.
[26] Abdullahi Iliyasu, Zainal Abidin Mohamed. Technical efficiency of tank culture systems in peninsular malaysia:an application of data envelopment analysis[J]. Aquaculture Economics&Management, 2015, 19(4):38-41.
[27] Jung-fu Huang. Effects of culture area, stocking density, and shrimp and fish polyculture on the cost efficiency of hard clam, meretrix meretrix, culture:a case study of hard clam farms in Yunlin,Taiwan[J]. J World Aquacult Soc, 2016, 47(4):38-41.
[28] Lawrence T B, Phillips N. Understanding cultural industries[J]. Journal of Management Inquiry,2002:11(4):430-441.