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May 27, 2026Systems0 citationsOpen Access

The Co-Evolution and Spatial Spillover Effects of the Relationship Between the Industry Chain and Innovation Chain of China’s Photovoltaic Cell: From the Patent Intelligence Perspective

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YLYi LiangMLMengting LiuQDQingzhe Diao

Key Points

  • This study examines the relationship and evolution between the photovoltaic industry and innovation chains in China through patent data analysis.
  • Utilized nationwide patent and enterprise data from 2005 to 2024
  • Employed spatial gravity center modeling, location quotient analysis, and spatial Durbin models
  • Investigated spatiotemporal evolution and coupling characteristics of dual chains.
  • Post-2015, the industry chain shows a westward shift and eastern optimization pattern
  • Dual chains exhibit coordinated gravity center migration with spatial distance convergence, but city-scale mismatches exist
  • Industrial agglomeration affects innovation with a regional inverted U-shaped relationship influenced by economic and environmental factors.

Abstract

Under the dual-carbon goals and energy transition backdrop, the photovoltaic cell has become a crucial pillar for optimizing China’s energy structure and promoting green development. From the perspective of patent intelligence, this study systematically investigates the spatiotemporal evolution paths, coupling characteristics, and driving mechanisms of China’s photovoltaic cell industry and innovation chains, using nationwide photovoltaic cell enterprise and patent data from 2005 to 2024 and integrating spatial gravity center modeling, location quotient analysis, and spatial Durbin models. The findings reveal the following: (1) the spatiotemporal evolution of the dual chains exhibits distinct phases, with a notable developmental leap after 2015. The industry chain shows a pattern of “westward shift and eastern optimization,” while the innovation chain evolves from eastern dominance toward a nationally coordinated, multipolar network. (2) At the macro level, the dual chains demonstrate a coupling trend characterized by “coordinated gravity center migration and spatial distance convergence,” yet significant spatial heterogeneity and mismatch persist at the city scale. (3) Industrial agglomeration has an inverted U-shaped effect on innovation, with regional heterogeneity in its impact, driven synergistically by multidimensional factors such as economic foundation, the innovation environment, and openness. Based on these insights, this study proposes recommendations for optimizing the spatial layout of these dual chains, strengthening multifactor synergy, and implementing regionally differentiated policies, aiming to provide decision-making references for achieving sustainable and high-quality development in the photovoltaic cell.

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Cite This Study

Liang et al. (2026) studied this question.

synapsesocial.com/papers/6a168ae40c924ddd1bd59a67https://doi.org/10.3390/systems14060605
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