基于复杂网络的全球太阳能光伏贸易格局演化研究
The Evolution of Global Solar PV Trade Pattern Based on Complex Network
DOI: 10.12677/orf.2024.145504, PDF,   
作者: 曹纪娇:上海理工大学管理学院专业学位中心,上海;朱小栋:上海理工大学管理学院,上海
关键词: 复杂网络贸易角色特征贸易网络社区检测全球光伏贸易Complex Network Trade Role Characteristics Trade Network Community Detection Global PV Trade
摘要: 随着化石燃料的消耗和环境问题的加剧,寻求清洁、可再生和高效的能源解决方案已成为当务之急。本研究利用复杂网络方法探讨了2002年至2022年全球太阳能光伏(PV)贸易格局的演变特征,为这一关键行业的贸易动态提供了一个新的视角。本研究运用网络分析技术,检视整体网络特征、节点特征和社群结构,以揭示全球光伏贸易关系的复杂网络。研究结果表明,全球光伏贸易网络显著增长,且日益复杂,尤其是在2010年后,中国正在成为核心参与者。这项研究为政策制定者和行业利益相关者提供了有价值的见解,强调了培育弹性和多元化贸易网络以支持全球光伏产业可持续增长的战略重要性。
Abstract: Amidst the depletion of fossil fuels and escalating environmental concerns, the quest for clean, renewable, and efficient energy solutions has become imperative. This study explores the evolution characteristics of the global solar photovoltaic (PV) trade pattern from 2002 to 2022 using complex network methods, providing a novel perspective on the trade dynamics in this critical sector. Employing network analysis techniques, the study examines overall network characteristics, node characteristics, and community structures to reveal the intricate web of global PV trade relationships. The findings demonstrate significant growth and increased complexity in the global PV trade network, with China emerging as a central player, particularly in the post-2010 period. This research offers valuable insights for policymakers and industry stakeholders, emphasizing the strategic importance of fostering resilient and diversified trade networks to support the sustainable growth of the global PV industry.
文章引用:曹纪娇, 朱小栋. 基于复杂网络的全球太阳能光伏贸易格局演化研究[J]. 运筹与模糊学, 2024, 14(5): 660-670. https://doi.org/10.12677/orf.2024.145504

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