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Research on China’s Regional Cultural Industries’ Efficiency Based on Factor Analysis and BCCandSuper Efficiency Model

机译:基于因子分析和BcCandsuper效率模型的中国区域文化产业效率研究

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摘要

Cultural industries are becoming important drivers for global economic growth. Competitiveness of cultural industries lies in its performance. This paper takes deep research on the cultural industries’ performance of 31 regions in China by the methods of factor analysis and super BCC efficiency model, using the whole statement data of 2010 from cultural industries. As the study shows, there are only 7 provinces which are efficient DMUS in DEA, and inefficacy in scale is one of the most important factors for cultural industries’ efficiency in China, and the short of output is more widespread and serious than redundancy of input. Some proposals are put forward. Firstly, output should be expanded based on completely digging and utilizing the present resources .Second, blind development and input should be avoided. Third, the northeast and central region should work hard to improve pure technical efficiency, and northeast and northwest region should improve scale efficiency.
机译:文化产业正在成为全球经济增长的重要司机。 文化产业的竞争力在于其表现。 本文采用2010年从文化产业的整体陈述数据对中国31个地区的31个地区的文化产业性能深入研究。 正如研究表明,只有7个省份在DEA中有效DMU,并且规模的低效率是中国文化产业效率最重要的因素之一,而且产出缺乏比投入冗余更为普遍和严重 。 提出了一些提案。 首先,应基于完全挖掘并利用当前资源来扩展产出。应避免忽略,盲目开发和输入。 第三,东北和中部地区应努力提高纯粹的技术效率,东北和西北地区应提高规模效率。

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