Who innovates with whom and why? An analysis of the inter-regional enterprise-university-research institute cooperative network supporting climate change mitigation

Purpose This study examines the formation mechanisms of China’s inter-regional enterprise-university-research institute cooperative networks in climate change mitigation technologies (CCMTs), focusing on the combined influence of multi-dimensional proximity and university participation. Design/methodology/approach Using patent data on CCMTs in green buildings, greenhouse gas management, green energy and green transportation, these cooperative networks are constructed and their evolution analyzed. The quadratic assignment procedure is used to assess the effects of multi-dimensional proximity and university participation. Findings The findings reveal increasing polarization in China’s cooperative networks, with Beijing gaining greater control and key patentees like State Grid increasingly focusing on self-sufficiency. The technological focus shifted from superconducting electric elements and battery energy storage to high-voltage direct current. Multi-dimensional proximity and university participation positively influence network formation but vary over time. Geographical proximity and university participation show an inverted U-shaped trend, while social proximity intensifies, and technological proximity follows a U-shaped pattern. The moderating effect of university participation on geographical proximity shifts from negative to positive while positively moderating social and technological proximity during certain periods. Originality/value This study contributes to understanding China’s inter-regional enterprise-university-research institute cooperative innovation networks within CCMTs by elucidating their evolutionary characteristics. It extends the literature on proximity by examining its dynamic effects over time. Additionally, it supplements collaborative innovation theory by empirically validating the role of university participation in shaping collaborative structures.

Authors

Publication Details

Journal
Kybernetes
Published
2025-04-24
DOI
https://doi.org/10.1108/k-10-2024-2937
Primary Topic
University-Industry-Government Innovation Models
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Who innovates with whom and why? An analysis of the inter-regional enterprise-university-research institute cooperative network supporting climate change mitigation

Quanhong Yuan, Chang Liu, Heng Chen
Kybernetes
University-Industry-Government Innovation Models
article

Who innovates with whom and why? An analysis of the inter-regional enterprise-university-research institute cooperative network supporting climate change mitigation

Quanhong Yuan, Chang Liu, Heng Chen
article en

Abstract

Purpose This study examines the formation mechanisms of China’s inter-regional enterprise-university-research institute cooperative networks in climate change mitigation technologies (CCMTs), focusing on the combined influence of multi-dimensional proximity and university participation. Design/methodology/approach Using patent data on CCMTs in green buildings, greenhouse gas management, green energy and green transportation, these cooperative networks are constructed and their evolution analyzed. The quadratic assignment procedure is used to assess the effects of multi-dimensional proximity and university participation. Findings The findings reveal increasing polarization in China’s cooperative networks, with Beijing gaining greater control and key patentees like State Grid increasingly focusing on self-sufficiency. The technological focus shifted from superconducting electric elements and battery energy storage to high-voltage direct current. Multi-dimensional proximity and university participation positively influence network formation but vary over time. Geographical proximity and university participation show an inverted U-shaped trend, while social proximity intensifies, and technological proximity follows a U-shaped pattern. The moderating effect of university participation on geographical proximity shifts from negative to positive while positively moderating social and technological proximity during certain periods. Originality/value This study contributes to understanding China’s inter-regional enterprise-university-research institute cooperative innovation networks within CCMTs by elucidating their evolutionary characteristics. It extends the literature on proximity by examining its dynamic effects over time. Additionally, it supplements collaborative innovation theory by empirically validating the role of university participation in shaping collaborative structures.

Kybernetes
Openalex Percentile: Top 89%
University-Industry-Government Innovation Models
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.