基于关键节点与关键路径的专利集群网络演进研究

专利作为技术和知识的重要载体，是研究技术演进和产业发展的重要信息源。目前缺乏针对专利集群网络中关键节点与关键路径中节点的比较分析和技术知识挖掘。构建基于关键节点和关键路径的专利集群网络演进模型，从两个层面综合分析技术演进特征。检索德温特数据库(Derwent Innovation Index)得到碳化硅肖特基势垒二极管（SiC-SBD）相关专利作为实证数据，时间跨度为1986-2017年。结果表明，SiC-SBD专利集群网络经历了萌芽期、成长期、成熟期和衰退期，其中，萌芽期专利主要涉及基础技术，成长期为器件结构，以完善器件结构、改进二极管性能为主要研究方向。近年来SiC-SBD专利年增长率下降，技术发展速度放缓，专利价值更多体现在其商业价值上。SiC-SBD专利集群网络关键节点与关键路径中节点重合度较高，核心专利识别可通过多视角分析得到。通过关键节点与关键路径分析专利集群网络演进过程，有助于更全面呈现技术演进过程，为决策者识别核心专利、预测技术发展提供参考。     

An evolutionary complex systems perspective on urban health

Deliberations about how to govern complex problems of urban health and wellbeing sustainably have often been implicitly biased by ideas such as being ‘human-scale’ or ‘people-centered.’ With increasing urban populations and increasing urban system interconnectivity, many cities have transformed into city regions or clusters, and the external effects of urban growth are carried mainly by the marginalized and the environment putting urban health increasingly at risk. Here we address the question of why human societies have not been better at collectively adapting to the challenges of urbanization and global environmental change? We build a theoretical framework of multi-level selection, complex systems evolution, and governance, following which we then present ‘human-scale’ and ‘people-centered’ ideas of urban development as expressions of two types of socio-political organization with different degrees of self-organization. We found several reasons for which the maladies of current urban development emerged and the seeming inability to resolve them. First, urban systems became increasingly interconnected and evolved into ultrasocial superorganisms, displaying preference to sustain themselves as a whole rather than their subordinates. Second, the difference in scaling effects between the biological and the social network contributed to the mismatch between rapid urban growth and slow adaptation. Furthermore, institutions of decreased variety reinforce themselves and become dominant, creating a positive feedback mechanism and promoting invasive and exploitative exponential growth, but they also reduce the creativity and resilience of urban systems. We also found that both the “human-scale” and the “people-centered” approaches acknowledge the exponential growth and decreasing variety in urban systems, and advocate for correcting the mismatches. To incorporate people's needs and values for long-term, truly sustainable urban health governance, we recommend combining the self-organizing, evolutionary feature of “human-scale” and the coordinative, political feature of “people-centeredness.”     

国家科技创新能力时空差异性评价

科技创新规模扩张和科技创新效率提升是增强国家科技创新能力的两条关键途径。基于现有研究鲜有结合科技创新规模和科技创新效率开展国家科技创新能力评价的现状，采用因子分析法，系统筛选国家科技创新规模影响因素，并结合科技创新效率影响因素，完善国家科技创新能力评价指标体系，通过构建DEA Malmquist指数模型，评价不同时期国家科技创新效率变化指数，以及中国与全球10个国家科技创新能力的时空差异性。研究表明，R&D投入强度、R&D研究人员、专利申请量、科技期刊文章数、高科技产品出口额占制成品出口总额的百分比、科技创新效率是影响国家科技创新能力的关键指标；1991-2014年中国科技创新能力水平呈指数增长态势，有力提升了国家科技实力；全球10个国家科技创新能力水平除日本出现一定波动外，其余九国整体呈小幅递增态势。     

企业主流与新流创新演进机理研究

激烈的市场竞争使人们意识到，企业既需要维持创新发展优势而抢占主流市场，又需要创造新的企业发展优势而赢取未来主流市场。着眼于这一关键任务，实现主流与新流创新演进成为企业持续发展的重点。因此，基于生物进化理论、企业进化理论和企业DNA理论，提出主流与新流创新演进经过了生成、变异、选择、协同阶段。深入研究主流与新流创新的生成、变异、选择、协同机理，并与企业创新发展实践相结合，为企业未来主流创新提供具体路径指导。     

Crime prediction by data-driven Green’s function method

We develop an algorithm that forecasts cascading events, by employing a Green’s function scheme on the basis of the self-exciting point process model. This method is applied to open data of 10 types of crimes happened in Chicago. It shows a good prediction accuracy superior to or comparable to the standard methods which are the expectation–maximization method and prospective hotspot maps method. We find a cascade influence of the crimes that has a long-time, logarithmic tail; this result is consistent with an earlier study on burglaries. This long-tail feature cannot be reproduced by the other standard methods. In addition, a merit of the Green’s function method is the low computational cost in the case of high density of events and/or large amount of the training data.     

创新网络领域知识主题研究述评

在知识经济时代，创新网络在企业创新中扮演着重要角色，而研究网络中知识要素的产生、传播、吸收等问题对了解企业网络化创新具有重要意义。基于国内外核心文献数据库，收集创新网络领域知识要素相关文献，并结合文献计量分析方法，对该领域近30年有关知识主题研究的演化规律、整体趋势等进行梳理。结果表明，国内外研究年度发文量均呈现3个阶段变化趋势，且分别拥有各自重要载文期刊，国内研究已形成核心团队，而国外并未形成；国内外研究既有相同之处，也存在差异性，且均形成较为清晰的研究框架；在演化规律上，国内横向拓展和纵向深化研究特征显著，而国外更加注重纵向深入探索分析，研究内容也更加分散；在未来前沿热点分析上，中外学者关注内容既有相同点，也有不同点，知识协同、知识惯例、企业数字化转型对知识影响的研究是未来关注重点。     

Retailing evolution research: Introduction to the special section on retailing research

This JBR Special Issue on Retailing includes several high quality research studies presented at the 10th and 11th Society for Marketing Advances Retail Strategy and Patronage Behavior Symposiums. The articles cover a wide range of interesting and important retailing topics including topics such as atmospherics, self-esteem and advertising. This introduction offers a few comments on the 2007 and 2008 Symposiums' content including a brief overview of each article.     

企业社会责任理论演进及文献述评

企业社会责任已经成为学术界和企业广泛关注的研究领域,中国企业社会责任的意识较薄弱,因此,无论是政府、公众还是企业都应该首先从自我做起,正确认识企业社会责任,为推动企业社会责任在中国的发展及和谐社会的构建作出应有的贡献。     

生产性服务业外资企业投资分布演化——基于江苏省的实证研究

随着全球生产制造活动向我国的大规模转移,近年来服务业外国直接投资也表现出了快速增长的势头。本文以制造业外国直接投资较为集中的江苏省为研究对象,重点从集聚的"路径依赖"效果和产业关联作用两个角度考察了生产性服务业外资企业的投资分布状况及其空间演化。结果表明,短期内,路径依赖效果和产业关联作用都产生了显著影响,但长期影响效果还不是很明显。     

我国财政改革中几个全局性问题的思考

按照党的"十六大"提出的战略构想,未来20年里我们将完成经济体制转轨的任务,实现全面小康.这样的构想意味着,中国经济体制改革目标的实现已从政策设计的角度锁定在1978-2020年的时段内,我们正处在承前启后的转折点上.在政府主导的渐进路径上,政府既推进着市场机制的建立,也同时推动着计划手段的创新,在市场机制发挥作用的同时,又始终承担着计划体制下的诸多任务与责任.财政作为政府政策实施的财力保障,以自身的变动见证了这一过程,与体制转轨进程和经济运行状况有着深刻的互动关系.因此,在这样一个特殊时刻,对财政改革中的一些关系全局的问题进行思考、解释,不仅关系到财政自身的运行,无疑也将直接影响到整个经济发展的绩效.本文主要围绕三个方面的重大问题提出了分析的路径与依据,并做出了基本的评价.