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Evaluating the Structural Robustness of Large-Scale Emerging Industry with Blurring Boundaries
Yang Li1, Huajiao Li1, Sui Guo2
1School of Economics and Management, China University of Geosciences, Beijing 100083, China.
Entropy (Basel, Switzerland)
|December 23, 2022
Summary
This study introduces a new framework to assess the structural robustness of emerging industries. The Chinese new energy vehicle industry demonstrated increased resilience against random attacks after the COVID-19 pandemic.
Area of Science:
- Economics
- Network Science
- Industrial Organization
Background:
- Emerging industries, as open systems with dynamic boundaries, present challenges in structural depiction for robustness evaluation.
- Complex structures within these industries require advanced methods to analyze their interconnectedness and resilience.
Purpose of the Study:
- To propose a novel data-driven framework for depicting the network skeleton of emerging industries.
- To evaluate the structural robustness of the Chinese new energy vehicle (NEV) industry across different time periods.
Main Methods:
- Utilizing a data-driven percolation process combined with complex network theory.
- Analyzing firm-level transaction data from the Chinese NEV industry for 2019, 2020, and 2021.
Main Results:
- The study successfully depicted the network structure and evaluated the structural robustness of the Chinese NEV industry.
- Analysis revealed transformations in structural robustness during the pre-COVID, under-COVID, and post-COVID eras.
Conclusions:
- The Chinese NEV industry exhibited enhanced structural robustness against random attacks in the post-COVID era compared to the pre-COVID era.
- The proposed framework effectively captures the evolving resilience of large-scale emerging industries.
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