Financial Performance Analysis Under an Asset-Light Operating Model

DOI

10.2991/978-94-6463-710-6_31How to use a DOI?

Keywords

Asset-light Operation; Regression Analyses; Pharmaceutical Industry

Abstract

The pharmaceutical industry is closely related to people’s lives. With the fierce competition in China’s pharmaceutical industry and the market entry of foreign pharmaceutical companies bringing serious stimulation to domestic pharmaceutical companies, pharmaceutical companies have begun to explore new operational models. The light asset operation model has become an important choice for the transformation and upgrading of Chinese pharmaceutical companies. This article summarizes and organizes the relevant content of the light asset operation model, introduces the development situation and policy background of China’s pharmaceutical enterprises, and conducts an empirical analysis of the financial performance of the pharmaceutical industry under the light asset operation model, pointing out the positive relationship between the two. It also raises existing problems and provides suggestions, finally summarizing the research conclusions and looking into the future.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xiaolin Li
AU  - Yuqi Lv
AU  - Chunyan Lu
AU  - Jia Xu
PY  - 2025
DA  - 2025/05/14
TI  - Financial Performance Analysis Under an Asset-Light Operating Model
BT  - Proceedings of the 2025 4th International Conference on Big Data Economy and Digital Management (BDEDM 2025)
PB  - Atlantis Press
SP  - 264
EP  - 271
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-710-6_31
DO  - 10.2991/978-94-6463-710-6_31
ID  - Li2025
ER  -