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Beijing Cultural and Creative Industry policy effect evaluation based on fuzzy comprehensive evaluation

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Abstract

Beijing Cultural and Creative Industry has been established as an important pillar of the capital economy and new growth points, and starting in 2006 issued a series of policies to support it from 2006. Whether the policies are to achieve the desired effect has become an important issue for policy makers. This paper constructs the policy effect evaluation system for Beijing Cultural and Creative Industry, using the entropy method to determine the weight and the fuzzy comprehensive evaluation method to analyze effect, and then put forward the suggestions. The results show that the policy implementation effect of Beijing Cultural and Creative Industry is well. In which, the economic effect is obvious, and the development of social culture effect continue to improve.

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References

  1. Dowler, K.: The Cultural Industries Policy Apparatus. In: Dorland, M. (ed.) The Cultural Industries in Canada: Problems, Policies and Prospects, pp. 328–346. James Lorimer & Company Ltd, Toronto (1996)

    Google Scholar 

  2. Steinert, H.: Cultural Industry. Polity Press, Cambridge (2003)

    Google Scholar 

  3. Lash, S., Lury, C.: Global Cultural Industry: The Mediation of Things. Polity Press, Cambridge (2007)

    Google Scholar 

  4. Neuwirth, R. J. In Ward, D. ed. The European Union and the Cultural Industries: Regulation and the Public Interest. Hampshire, Burlington: Ashgate Publishing Limited. 2008

  5. Yoan, A.R., : In Between the Values of the Global and the National: The Korean animation Industry. In: Berry, C., Liscutin, N. (eds.) What a Difference a Region Makes, Mackintosh, J, D edn, pp. 103–115. Hong Kong University Press, Cultural Studies and Cultural Industries in Northeast Asia (2009)

  6. Florida, R.: The Rise of the Creative Class. Basic Books, New York (2004)

    Google Scholar 

  7. Florida, R., Tinagli, I.: Europe in the Creative Age. ALFRED P. SLOAN, FOUNDATION, Demos, New York (2004)

    Google Scholar 

  8. A Study on Hong Kong Creativity Index, Home Affairs Bureau, the Government of Hong Kong Special Administrative Region, 2004

  9. Wang, Z.-C., Xie, P.-H., Chen, J.-X.: Factor analysis and positive research for development of creative industry in city. China Ind. Econ. 08, 49–57 (2007)

    Google Scholar 

  10. Dong, C.: The practice and discovery for the development of Beijing Culture Creative Industry. Soc. Sci. Beijing 1, 8–15 (2008)

    Google Scholar 

  11. Guo-hua, W.: An analysis of operation principle of the Cultural creative industry gathering zone-taking Beijing Songzhuang Original arts and cartoon industry gathering zone as an example. J. Beijing Union Univ. (Humanit. Soc. Sci.) 2, 73–79 (2009)

  12. Hong-yan, G.A.O.: Research on the Connotation of policy innovation in Chinese cultural and creative industries. China Soft Sci., 6, 80–86+105 (2010)

  13. Hai-tang, Z.W.Y.: The empirical analysis on the influential factors of Beijing Cultural and Creative Industries. Soc. Sci. Beijing 03, 20–25 (2011)

    Google Scholar 

  14. Yong, X.: On the originality leadership of handlers in cultural industry originality–a study based on the cases of cultural industry between mainland and taiwan straits. J. Beijing Union Univ. (Humanit. Soc. Sci.) 3, 87–93 (2011)

    Google Scholar 

  15. Cheng, S.-F., Chen, X.-Y.: The construction of business model for the development of digital culture industry. J. Beijing Union Univ. (Humanit. Soc. Sci.) 4, 64–69 (2013)

    Google Scholar 

  16. Yu-rong, S.: Path selection of intellectual property protection in cultural and creative industries in the age of big data. J. Beijing Union Univ. (Humanit. Soc. Sci.) 2, 54–59 (2014)

    Google Scholar 

  17. Qin, S.K.: The Principle and Application of Synthetic Evaluation. Publishing House of Electronics Industry, Beijing (2003)

    Google Scholar 

  18. Jun, W.E.N.: Fuzzy comprehensive evaluation of risk in airline safety system. J. Saf. Sci. Technol. 6(1), 44–48 (2010)

    Google Scholar 

  19. Ya-jie, S.H.I., Jing, L.I.: Safety risk monitoring of civil aviation maintain. China Saf. Sci. J. 19(11), 110–116 (2009)

    Google Scholar 

  20. Wang, M., Sun, D.-X., Chang, H., et al.: Study on evaluation of safety and quality in military aircraft maintenance. Fire Control Command Control 36(9), 149–152 (2011)

    Google Scholar 

  21. Wang, S., Wang, Y., Chao, L.I.: Application of BP neural network in inherent safety degree evaluation of aviation maintenance personnel. J. Saf. Sci. Technol. 6(6), 35–39 (2010)

    Google Scholar 

  22. Guo, C.Z.: Study on the evaluating method of entropy coefficient for stock investment value. Nankai Econ. Stud. 5, 65–67 (2001)

    Google Scholar 

  23. Zhao, D.Y., Song, H.: A method of ameliorative multi objective synthetic evaluation based on entropy weight and its application. J. Ordnance Eng. Coll. 13(3), 47–51 (2001)

    MathSciNet  Google Scholar 

  24. Cheng, T., Zhang, C.X.: Application of fuzzy AHP based on entropy weight to site selection of solid sanitary landfill. Environ. Sanit. Eng. 12(2), 64–67 (2003)

    Google Scholar 

  25. Fang, D.C., Liu, G.L., Zhang, L.P., et al.: The application of information entropy in investment decision. Value Eng. 2, 115–117 (2004)

    Google Scholar 

  26. Li, X.H., Li, Y.M., Gu, Z.H., et al.: Competitive situation analysis of regional logistics development based on AHP and entropy weight. J. Southeast Univ. 34(3), 398–401 (2004)

    Google Scholar 

  27. Zou, Z., Sun, J., Ren, G.: Study and application on the entropy method for determination of weight of evaluating indicators in fuzzy synthetic evaluation for water quality assessment. Acta Sci. Circumst. 25(4), 552–556 (2005)

    Google Scholar 

  28. Yang, K., Liu, Y., Wang, L.: Fuzzy evaluation model for the choice of architectural design based on entropy weight. Sichuan Build. Sci. 35(6), 66–68 (2009)

    Google Scholar 

  29. Wei, D.C., Zhang, Z.M., Li, C., Zong-heng, L.I.U.: Airline equipment maintenance safety comprehensive evaluation based on fuzzy asymmetric proximity and entropy. China Saf. Sci. J. 22(2), 107–111 (2012)

    Google Scholar 

  30. Chen, N., Tan, X., Yang, W., Zhou, C.: Fuzzy comprehensive assessment of pilot students safety awareness based on the entropy AHP theory. Math. Pract. Theory 45(16), 62–67 (2015)

    Google Scholar 

  31. Li, E., Ji, J.I.A., Dou, S.-H.: echnology innovation policy effect evaluation of Chinese Automobile Industry on the basis of the fuzzy comprehensive evaluation. J. Taiyuan Univ. Technol. (Soc. Sci. Edition) 03, 38–42 (2012)

    Google Scholar 

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Acknowledgments

This paper is supported by Fundamental Funds for Humanities and Social Sciences of Beijing Jiaotong University (2015JBWJ011).

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Correspondence to Chao Lu.

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Lu, C., Chang, Jl. Beijing Cultural and Creative Industry policy effect evaluation based on fuzzy comprehensive evaluation. Cluster Comput 19, 2133–2143 (2016). https://doi.org/10.1007/s10586-016-0662-x

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