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  • P-ISSN1738-6764
  • E-ISSN2093-7504
  • KCI

Research on the Evaluation and Promotion Plan of Competitiveness of Chinese Cultural and Creative Industries - Taking Provinces and Cities Along the “Belt and Road” As an Example

INTERNATIONAL JOURNAL OF CONTENTS / INTERNATIONAL JOURNAL OF CONTENTS, (P)1738-6764; (E)2093-7504
2020, v.16 no.3, pp.66-86
https://doi.org/10.5392/ijoc.2020.16.3.066
Chen, Lu
He, Jia
Bae, Ki-Hyung

Abstract

With the rapid growth of high-tech, the development of cultural and creative industries has gradually become the focus of national industrial development. With the proposal of China's "Belt and Road" strategy, the role of cultural and creative industries in the provinces and cities along the "Belt and Road" in the entire international trade is becoming increasingly critical. It is necessary to explore solutions to improve the competitiveness of China's cultural and creative industries, factoring the surrounding cities of the "Belt and Road" as an example. Thus, this paper proposes the six-element diamond model based on innovation capability and government support to render a comprehensive evaluation of the competitiveness of the cultural and creative industries in the 31 provinces and cities across the country. The results show that the overall competitiveness of the 18 provinces and cities along the "Belt and Road" cultural and creative industries is weak. Focusing on the 18 provinces and cities along the "Belt and Road", using the linear regression measurement model quantitative analysis, the four types of influencing factors affecting the development of the competitiveness of cultural and creative industries along the "Belt and Road" were obtained. Finally, according to the four types of influence, the competitiveness improvement plan is proposed from the four aspects: government role, consumption preference, industrial innovation ability, and the introduction of high-quality talent.

keywords
cultural and creative industries, "Belt and Road" strategy, competitive evaluation, competitive improvement plan, statistical analysis method

INTERNATIONAL JOURNAL OF CONTENTS