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Evaluation of Modern Service Industry Under Economic Transformation Based on Catastrophe Series Method

  • Xiaoning Yang
  • Yingchun Chen
  • Lu GanEmail author
Conference paper
  • 22 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1190)

Abstract

With the proportion of the service industry market increasing, there is an imperative need to explore how to develop and innovate the service industry in an economically stable environment. To solve the comprehensive evaluation issue of the modern service industry and determine the key influencing factors, a comprehensive evaluation system for the development capability of the service industry was established. Firstly, the entropy method was adopted by this research to empowerment the various indicators. Secondly, the research used the principal component analysis method to determine the correlation between these indicators. Thirdly, catastrophe progression method was applied to the classification and indicator level calculation of indicator system. Finally, a case study is tested to validate the effectiveness of the model. The results show that the fluctuation of the development environment has a great impact on the development capability of the service industry. And the policy and force majeure are two major factors in market volatility. Finding and circumventing negative influences has become the key to improving the service industry in the context of economic transformation.

Keywords

Service industries Government policy Indicators Industrial economics 

Notes

Acknowledgements

The research was supported by the Foundation of Yaan Philosophy and Social Science Research Planning Funds (Grant No. YA20190029), the Foundation of Chengdu Science and Technology (Grant No. 2017-RK00-00274-ZF), the Foundation of Chengdu Science and Technology (Grant No. 2019-RK00-00311-ZF), and the Foundation of Chengdu Philosophy and Social Science Planning Research Funds (Grant No. 2019L12).

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Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.College of Architecture and Urban-Rural PlanningSichuan Agricultural UniversityDujiangyanPeople’s Republic of China
  2. 2.Business SchoolSichuan UniversityChengduPeople’s Republic of China

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