摘要
科技创新是驱动绿色建筑发展的重要力量,专利是科技创新成果的重要标志。以我国1985—2021年绿色建筑发明专利申请为研究对象,运用统计分析和社会网络分析方法,探究我国绿色建筑专利现状和申请人合作网络整体结构及其演化特征。研究表明:绿色建筑发明专利申请数量持续增长,技术布局更加广泛,但地域分布不均;整体专利合作网络具备“小世界”和“无标度”特性,网络密度和合作频率较低,但网络中心形成了两个初具规模的凝聚子群;绿色建筑专利合作网络演化具有创新主体类型逐渐丰富、合作模式更加多元化、凝聚子群渐具规模的特征。政府应加强对绿色建筑的持续关注,同时创新主体也要强化合作关系,有效整合资源,不断促进绿色建筑专利发展以及合作。
Scientific and technological innovation is an important force driving the development of green buildings,and patents are an important symbol of innovation achievements.Taking China s green building invention patent applications from 1985 to 2021 as the research object,statistical analysis and social network analysis methods were used to explore the status quo of China s green building patents and the overall structure and evolution characteristics of the applicant s cooperation network.Results show that:the number of green building invention patent applications continues to grow,and the technical layout is more extensive,but the geographical distribution is uneven;the overall patent cooperation network has the characteristics of“small world”and“scale-freeness”,and the network density and cooperation frequency are low,but the network center forms two cohesive subgroups;the evolution of the green building patent cooperation network has the characteristics of gradually enriching the types of innovation subjects,more diversified cooperation modes,and gradually expanding the scale of cohesive subgroups.The government should strengthen continuous attention to green buildings,and at the same time,the innovation subjects should also strengthen cooperation,effectively integrate resources,and continuously promote the development and cooperation of green building patents.
作者
蔡彬清
郭怡
CAI Binqing;GUO Yi(School of Management,Fujian University of Technology,Fuzhou 350118,China)
出处
《福建理工大学学报》
CAS
2024年第2期134-141,共8页
JOURNAL OF FUJILAN UNIVERSITY OF TECHNOLOGY
基金
教育部人文社科基金项目(23YJA630004)
福建省财政厅科研项目(GY-S22001)。
关键词
绿色建筑专利
专利合作
网络结构
网络演化
社会网络分析
green building patent
patent cooperation
network structure
network evolution
social network analysis
