An Analysis and Model of Integrated Innovation in Clusters of Green Industries Based on Network Science

The urgent push for environmental sustainability has led to the development of green sector clusters, hubs where businesses, research institutions, government agencies, and other stakeholders collaborate to foster innovation and drive sustainable economic growth. This study explores the structural dynamics and collaborative interactions within these clusters, aiming to uncover the mechanisms that facilitate innovation and promote sustainable practices. Using network science, the research models green clusters as interconnected networks, where each entity or actor functions as a node within a web of partnerships and information flows. Network analysis techniques, including community detection and centrality measures, help identify influential members and cohesive subgroups within these clusters. These methods offer insights into the roles of key players and the network’s structural features, both crucial in nderstanding how innovation spreads across the cluster. Complementing this, the study uses agent-based modelling (ABM) to simulate the complex interactions and collaborative activities—such as technology transfer, knowledge sharing, and joint research and development—that drive innovation within green clusters. This dual approach of network analysis and ABM allows researchers to evaluate the effects of various strategies, such as policy interventions or collaborative incentives, on innovation outcomes. Findings indicate that network structure, collaboration intensity, and central actors are significant factors influencing innovation in green clusters. The study provides practical insights for policymakers, industry stakeholders, and researchers by suggesting methods to enhance innovation through targeted network support and strategic partnerships. Ultimately, this research contributes to the growing understanding of how green sector clusters can act as catalysts for sustainable transformation, offering a pathway toward a more ecoconscious and resilient economy.

Authors

Institutions

Publication Details

Journal
International Journal of Research and Review in Applied Science Humanities and Technology
Published
2025-05-23
DOI
https://doi.org/10.71143/0bf5wf77
Primary Topic
Sustainable Industrial Ecology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Analysis and Model of Integrated Innovation in Clusters of Green Industries Based on Network Science

Gaurav Sharma, Ishaan Tamhankar
International Journal of Research and Review in Applied Science Humanities and Technology
Sustainable Industrial Ecology
article

An Analysis and Model of Integrated Innovation in Clusters of Green Industries Based on Network Science

Gaurav Sharma, Ishaan Tamhankar
article en

Abstract

The urgent push for environmental sustainability has led to the development of green sector clusters, hubs where businesses, research institutions, government agencies, and other stakeholders collaborate to foster innovation and drive sustainable economic growth. This study explores the structural dynamics and collaborative interactions within these clusters, aiming to uncover the mechanisms that facilitate innovation and promote sustainable practices. Using network science, the research models green clusters as interconnected networks, where each entity or actor functions as a node within a web of partnerships and information flows. Network analysis techniques, including community detection and centrality measures, help identify influential members and cohesive subgroups within these clusters. These methods offer insights into the roles of key players and the network’s structural features, both crucial in nderstanding how innovation spreads across the cluster. Complementing this, the study uses agent-based modelling (ABM) to simulate the complex interactions and collaborative activities—such as technology transfer, knowledge sharing, and joint research and development—that drive innovation within green clusters. This dual approach of network analysis and ABM allows researchers to evaluate the effects of various strategies, such as policy interventions or collaborative incentives, on innovation outcomes. Findings indicate that network structure, collaboration intensity, and central actors are significant factors influencing innovation in green clusters. The study provides practical insights for policymakers, industry stakeholders, and researchers by suggesting methods to enhance innovation through targeted network support and strategic partnerships. Ultimately, this research contributes to the growing understanding of how green sector clusters can act as catalysts for sustainable transformation, offering a pathway toward a more ecoconscious and resilient economy.

International Journal of Research and Review in Applied Science Humanities and Technology
Veer Narmad South Gujarat University (IN), Institute of Management Technology (IN)
Openalex Percentile: Top 84%
Sustainable Industrial Ecology
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.