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© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

As a novel development concept and model, the cultural and creative industries have become an important sector of the global economy owing to their diverse development pathways. In particular, the animation industry surpasses traditional sectors in scale. This industry demonstrated unprecedented resilience during the COVID-19 pandemic, highlighting its critical significance in the global economy. In this study, the SWOT (strength, weakness, opportunity, and threat)-PEST (political, economic, social, and technological factor) analytical model was employed to systematically assess various properties of the animation industry in China. Through an in-depth analysis of both internal and external factors affecting the industry and in consideration of conditions in the post-pandemic era, industrial development strategies across macro, meso, and micro levels were proposed to improve the existing development system. It was found that policy guidance at the macro level, improving the industry chain, integrating technologies at the meso level, and expanding target markets and financial channels at the micro level are key strategies for the continued development of the industry. This study offers new insights and directions for the sustainable development of the animation industry in China.

Details

Title
Sustainable Development of the Cultural and Creative Industries in the Post-Pandemic Era: A Case Study of the Animation Industry in China
Author
Ting-Ting, Feng; Li-Fan, Yang
First page
9796
Publication year
2024
Publication date
2024
Publisher
MDPI AG
e-ISSN
20711050
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3133371846
Copyright
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.