An institutional experiment: how China’s government-led innovation corridor reshapes collaborative innovation behaviour within urban agglomerations

China is conducting a large-scale institutional experiment by positioning innovation corridors as a key policy instrument for high-quality development within urban agglomerations. Using China’s pioneering G60 Innovation Corridor as a case study, this paper examines the impact of corridor development on inter-city collaborative innovation within the urban agglomeration, drawing on joint invention patent data in strategic emerging industries. The G60 Innovation Corridor significantly enhances collaborative innovation among cities along its route, increasing both the extensive and intensive margins of inter-city collaboration and strengthening collaboration among different types of innovation actors. Heterogeneity analysis shows that the corridor strengthens cooperation among developed cities and promotes cross-tier linkages between developed and relatively underdeveloped cities, thereby exhibiting a ‘hub-and-spoke’ pattern. Further analysis shows that the corridor’s effects on innovation linkages beyond the corridor vary across the urban hierarchy, with stronger effects for city pairs involving developed cities and a significantly weaker effect for linkages between relatively underdeveloped cities inside and outside the corridor. In addition, high-speed rail connectivity strengthens the spillover effects of the corridor on collaborative innovation.

Authors

Institutions

Publication Details

Journal
Applied Economics
Published
2026-10-15
DOI
https://doi.org/10.1080/00036846.2026.2750277
Primary Topic
Regional Economics and Spatial Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An institutional experiment: how China’s government-led innovation corridor reshapes collaborative innovation behaviour within urban agglomerations

Liming Ge, Yi Guo, Gang Zeng, Yang Guo et al.
Applied Economics
Regional Economics and Spatial Analysis
article

An institutional experiment: how China’s government-led innovation corridor reshapes collaborative innovation behaviour within urban agglomerations

Liming Ge, Yi Guo, Gang Zeng, Yang Guo, Xianzhong Cao
article en

Abstract

China is conducting a large-scale institutional experiment by positioning innovation corridors as a key policy instrument for high-quality development within urban agglomerations. Using China’s pioneering G60 Innovation Corridor as a case study, this paper examines the impact of corridor development on inter-city collaborative innovation within the urban agglomeration, drawing on joint invention patent data in strategic emerging industries. The G60 Innovation Corridor significantly enhances collaborative innovation among cities along its route, increasing both the extensive and intensive margins of inter-city collaboration and strengthening collaboration among different types of innovation actors. Heterogeneity analysis shows that the corridor strengthens cooperation among developed cities and promotes cross-tier linkages between developed and relatively underdeveloped cities, thereby exhibiting a ‘hub-and-spoke’ pattern. Further analysis shows that the corridor’s effects on innovation linkages beyond the corridor vary across the urban hierarchy, with stronger effects for city pairs involving developed cities and a significantly weaker effect for linkages between relatively underdeveloped cities inside and outside the corridor. In addition, high-speed rail connectivity strengthens the spillover effects of the corridor on collaborative innovation.

Applied Economics
Harbin Engineering University (CN), Shanghai Jiao Tong University (CN), East China Normal University (CN)
Openalex Percentile: Top 8%
Regional Economics and Spatial Analysis
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.