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Research On R&D Efficiency Of Listed Companies In Cultural Industry In China

Posted on:2022-10-25Degree:MasterType:Thesis
Country:ChinaCandidate:L L MaoFull Text:PDF
GTID:2505306317468464Subject:Art economics
Abstract/Summary:
In recent years,the state has attached great importance to the development of cultural industry and has continuously issued a series of policies and plans on cultural industry.Cultural industry has become a hot topic of social concern.Cultural industry is a new sunrise industry in the 21 st century.It has been praised as one of the most promising industries in the 21 st century.It is a new growth point of the national economy and is highly sought after by the capital market.Listed companies in the cultural industry are an important part of my country ’ s economy and culture.To study the R&D efficiency of listed companies in the cultural industry and to improve the R&D efficiency of listed companies in the cultural industry not only conforms to the relevant requirements of national policies,but also helps to strengthen my country’s cultural industry’s international presence status.In order to further improve the R&D efficiency of listed companies in China’s cultural industry,This article will study the R&D efficiency of 33 listed cultural industry companies from 2016 to 2019 from both static and dynamic perspectives.From a static point of view,the three-stage DEA model is used to measure and study the research and development efficiency of each sample company from 2016 to 2019,In the first stage of the study,the interference of environmental variables and random error factors was not excluded to calculate and analyze the R&D efficiency of listed cultural industries in China,In the second stage,the impact of environmental variables and random error factors on the R&D efficiency of listed companies in China’s cultural industry is estimated and analyzed,In the third stage of the study,after eliminating environmental factors and random error factors,the research and development efficiency of listed companies in China’s cultural industry is calculated and analyzed,and the research and development efficiency of listed companies in China’s cultural industry before and after the adjustment of investment is compared and analyzed.From a dynamic perspective,the Malmquist index model is used to decompose the production factors,and the dynamic changes in the R&D efficiency of decision-making units in different periods are measured,which more comprehensively reflects the R&D efficiency of listed companies in my country’s cultural industry.According to the actual situation,corresponding Countermeasures and suggestions.The empirical results of this paper show that:(1)Environmental variables have an adverse effect on the R&D efficiency of listed companies in my country’s cultural industry.(2)The static efficiency measurement results show that environmental variables have a certain impact on the R&D investment redundancy of listed companies in China’s cultural industry.(3)According to static calculations,the low value of pure technical efficiency is the main reason for the low R&D efficiency of listed companies in my country’s cultural industry.(4)According to dynamic calculations,the low technological change index in the decomposition of Malmquist index is manifested as technological regression,and the low technological transformation index is one of the important reasons for the low efficiency of research and development in my country’s cultural industry listing.Based on the above empirical results,this article puts forward the following suggestions:(1)Create a good research and development environment to ensure the smooth development of research and development.(2)Increase R&D investment and enhance the technical level of enterprises.(3)Improve the level of enterprise management and optimize the allocation of R&D resources.(4)Vigorously cultivate leading enterprises and give full play to their leading role.
Keywords/Search Tags:Cultural industry listed companies, R&D efficiency, Three-stage DEA model, Malmquist index model
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