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Evolution of High-Value Patents in Reverse Innovation: Focus on Chinese Local Enterprises

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  • Tie Wei
  • Tingting Liu

Abstract

The lack of high-value patents constraints the reverse innovation of developing countries’ local enterprises. To explore how high-value patents evolve within reverse innovation in these enterprises, this paper proposes a theoretical framework to analyze the relationships among technology, law, and market values for high-value patents and builds a three-dimensional Lotka–Volterra model of high-value patents under this framework. Using this model, this study explores the evolution path and the optimal conditions for the formation high-value patents. We take a local Chinese company, Huawei, as a case to test the theoretical analysis and make some managerial suggestions accordingly. Our research provides a theoretical basis for cultivating high-value patents in reverse innovation in local enterprises in China and other developing countries.

Suggested Citation

  • Tie Wei & Tingting Liu, 2020. "Evolution of High-Value Patents in Reverse Innovation: Focus on Chinese Local Enterprises," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-13, November.
    • Handle: RePEc:hin:jnlmpe:8127096
    DOI: 10.1155/2020/8127096
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    Cited by:

    1. Disha Deng & Tao Chen, 2022. "Prediction of University Patent Transfer Cycle Based on Random Survival Forest," Sustainability, MDPI, vol. 15(1), pages 1-13, December.

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