How the Complexity of Knowledge Influences Carbon Lock-In

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.

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Publication Details

Journal
Sustainability
Published
2025-03-27
DOI
https://doi.org/10.3390/su17072985
Citations
3
Primary Topic
Economic and Technological Innovation
Type
article
Field-Weighted Citation Impact
9.39

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article

How the Complexity of Knowledge Influences Carbon Lock-In

Yong Li, Meng Shen
3 citations
Sustainability
Economic and Technological Innovation
9.39
article

How the Complexity of Knowledge Influences Carbon Lock-In

Yong Li, Meng Shen
article en
3 citations

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.

SustainabilityVol. 17(7)
Northwest University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 3%
Economic and Technological Innovation
9.39
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How the Complexity of Knowledge Influences Carbon Lock-In — Yong Li, Meng Shen · Sustainability (2025) | TGRS Research Map | TGRS