Multi-Dimensional Analysis and Trend Prediction of China’s Scientific Research Service Industry using the PEST Model

Authors

  • Fengjie Cen Guangzhou KEO Information Technology Co., Ltd. (AiScholar), Guangzhou, China Author
  • Fangjian Liu Guangzhou KEO Information Technology Co., Ltd. (AiScholar), Guangzhou, China Author
  • Qianqian Wang Guangzhou KEO Information Technology Co., Ltd. (AiScholar), Guangzhou, China Author

DOI:

https://doi.org/10.55578/jedip.2509.005

Keywords:

Scientific Research Service Industry, PEST Model, Development Trend

Abstract

As China pushes ahead with its innovation-driven development initiatives against the backdrop of growing shifts in the global innovation landscape, its scientific research service (SRS) sector has grown from its infancy towards maturity. With increased interactions between China and other countries in scientific research, China’s SRS industry transitions from an input-driven model of development towards one centered on building an innovation ecosystem. In this study, the PEST model is employed to examine the political, economic, social, and technological impacts on the construction of an innovation ecosystem in China’s SRS industry, provide a glimpse into the current dynamics of this industry, and unveil the causes for problems within. Some recommendations are proposed to improve this innovation ecosystem. The research here aims to lay a foundation for developing an independent and controllable innovation ecosystem for research support service and provide a decision-making basis for research support service providers in China.

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Published

2025-09-08

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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Section

Articles

How to Cite

Multi-Dimensional Analysis and Trend Prediction of China’s Scientific Research Service Industry using the PEST Model. (2025). Journal of Economic Development, Innovation and Policy, 1(1), 64-84. https://doi.org/10.55578/jedip.2509.005