How Can Heavy Polluters Achieve Green Innovation? A Configurational Perspective From the Strategic Triad

ABSTRACT Despite growing scholarly attention to corporate green innovation, prior research has largely overlooked the configurational mechanisms underlying high green innovation performance (GIP) in environmentally sensitive sectors, especially under heterogeneous institutional contexts. Grounded in the strategy tripod framework, this study uses fuzzy‐set Qualitative Comparative Analysis (fsQCA) to examine how dynamic capabilities, institutional conditions, and industrial conditions jointly shape GIP among Chinese A‐share listed heavy‐polluting firms. We derive three core findings: no individual factor acts as a necessary condition for high GIP, yet strengthened environmental sensing capability and industry dynamism are consistently positively associated with superior green innovation outcomes. We identify four equifinal configurations that drive high GIP via synergistic alignment among organizational agility, regulatory pressures, and market competitive dynamics. Further analysis shows that non‐high GIP mainly arises from institutional voids, excessive industrial complexity and a lack of industry dynamism. These findings advance contingency theory in the sustainable innovation literature by identifying context‐specific implementation archetypes and providing evidence‐based strategic guidance for heavy‐polluting firms to pursue ecological modernization.

Authors

Institutions

Publication Details

Journal
Corporate Social Responsibility and Environmental Management
Published
2026-09-01
DOI
https://doi.org/10.1002/csr.70954
Primary Topic
Qualitative Comparative Analysis Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

How Can Heavy Polluters Achieve Green Innovation? A Configurational Perspective From the Strategic Triad

Qi Wang, Qihua Yin, Jianhan Wu
Corporate Social Responsibility and Environmental Management
Qualitative Comparative Analysis Research
article

How Can Heavy Polluters Achieve Green Innovation? A Configurational Perspective From the Strategic Triad

Qi Wang, Qihua Yin, Jianhan Wu
article en

Abstract

ABSTRACT Despite growing scholarly attention to corporate green innovation, prior research has largely overlooked the configurational mechanisms underlying high green innovation performance (GIP) in environmentally sensitive sectors, especially under heterogeneous institutional contexts. Grounded in the strategy tripod framework, this study uses fuzzy‐set Qualitative Comparative Analysis (fsQCA) to examine how dynamic capabilities, institutional conditions, and industrial conditions jointly shape GIP among Chinese A‐share listed heavy‐polluting firms. We derive three core findings: no individual factor acts as a necessary condition for high GIP, yet strengthened environmental sensing capability and industry dynamism are consistently positively associated with superior green innovation outcomes. We identify four equifinal configurations that drive high GIP via synergistic alignment among organizational agility, regulatory pressures, and market competitive dynamics. Further analysis shows that non‐high GIP mainly arises from institutional voids, excessive industrial complexity and a lack of industry dynamism. These findings advance contingency theory in the sustainable innovation literature by identifying context‐specific implementation archetypes and providing evidence‐based strategic guidance for heavy‐polluting firms to pursue ecological modernization.

Corporate Social Responsibility and Environmental Management
Shaoxing University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 5%
Qualitative Comparative Analysis Research
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.