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How the Complexity of Knowledge Influences Carbon Lock-In

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Listed:
  • Yong Li

    (School of Economics and Management, Northwest University, No.1 Xuefu Avenue, Chang’an District, Xi’an 710127, China)

  • Meng Shen

    (School of Economics and Management, Northwest University, No.1 Xuefu Avenue, Chang’an District, Xi’an 710127, China)

Abstract

Based on panel data from 30 provinces in China from 2000 to 2023, this study examines the relationship between knowledge complexity and carbon lock-in. The results indicate that an increase in knowledge complexity alleviates carbon lock-in. Heterogeneity results show that the mitigating effect of knowledge complexity on carbon lock-in is more pronounced in eastern China, areas south of the Qinling–Huaihe River, regions with higher levels of infrastructure construction, lower proportion of state-owned enterprises, areas with higher government financial science and technology expenditures. In terms of the mechanisms, knowledge complexity primarily suppresses carbon lock-in through optimization of factor allocation, enhancement of efficiency levels, and upgrading of industrial structures. Further investigations reveal that knowledge complexity exhibits a significant spatial spillover effect on carbon lock-in.

Suggested Citation

  • Yong Li & Meng Shen, 2025. "How the Complexity of Knowledge Influences Carbon Lock-In," Sustainability, MDPI, vol. 17(7), pages 1-24, March.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:7:p:2985-:d:1622132
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    References listed on IDEAS

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