Identification of Technological Evolution Path Based on Patent Citation Network: A Case Study of Solar Photovoltaic Panels Technology

Abstract

This research investigates the identification of technological evolution paths using patent citation networks, with a focus on solar photovoltaic (PV) panels technology. Drawing upon insights from innovation studies, network analysis, and renewable energy research, the study examines how patent citations can be used to trace the development trajectory of technological innovations within the solar PV industry. Through the construction and analysis of patent citation networks, the research identifies key technological milestones, emergent trends, and evolutionary trajectories shaping the advancement of solar PV technology over time. By applying network analysis techniques such as centrality measures, clustering algorithms, and community detection methods, the study uncovers patterns of knowledge diffusion, collaboration dynamics, and technology convergence/divergence within the solar PV patent landscape. Moreover, it explores the implications of technological evolution paths for industry competitiveness, innovation strategy, and policy development in the renewable energy sector. The findings offer valuable insights for policymakers, industry practitioners, and researchers seeking to understand and navigate the complex dynamics of technological change and innovation in the solar PV industry, and provide a foundation for strategic decision-making and resource allocation in renewable energy innovation.