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September 29, 2025International Journal of Global Economics and ManagementOpen Access

Policy Utility and Empirical Analysis on the Coupling Development of Bio-Pharmaceutical Industry and New Enterprises Based on NB Statistical Model and Bayesian Probability

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Authors

ZZZ D ZhangXJXinyan JiangWYWanchen Yao

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Overview

Empirical analysis reveals impacts on the biopharmaceutical industry, emphasizing the role of Bayesian methods and coordination.

Key Points

  • The biopharmaceutical industry shows significant growth, driven by advanced life sciences and technology.
  • Bayesian model averaging predicts outcomes while addressing uncertainty within the biopharmaceutical sector.
  • China's biomedical technology needs improvement to meet international standards for competitiveness.
  • Weak industrial division of labor calls for enhanced coordination across the biopharmaceutical industry.

Cite This Study

Zhang et al. (2025) studied this question.

synapsesocial.com/papers/68da58d1c1728099cfd10d94https://doi.org/10.62051/ijgem.v8n2.11
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