跨国专利合作网络中技术接近性的调节作用研究

技术接近性对于企业间的跨国专利合作具有重要作用.基于多维接近性整体分析框架,采用中国电力系统技术领域2000年至2008年国外专利合作数据,分析技术接近性对其他接近性的调节作用.通过构造112家中外企业的专利合作网络,运用QAP网络回归方法实证检验跨国专利合作网络中技术接近性在地理接近性和社会接近性影响专利合作网络中节点连接距离和连接重要性过程中的调节作用.研究结果表明,在考虑多维接近性共同作用时,技术接近性对网络节点的连接距离和连接重要性具有重要影响,有助于节点之间构筑较短的连接渠道并形成较为重要的合作关系.除此以外,技术接近性还能正向调节社会接近性对连接重要性的正效应,但对于社会接近性与连接距离之间的关系没有显著的影响.由此验证了技术接近性可以影响其他接近性与跨国知识合作关系的基本假设,为进一步揭示不同接近性之间的相互作用机制提供了理论基础.     

基于中国上市公司的资本结构、社会责任与企业绩效分析

以2009～2013年间我国A股上市公司的数据为样本,探讨了资本结构、社会责任和企业绩效之间的关系.通过构建面板数据回归模型,并采用广义最小二乘法对面板模型进行估计.研究表明,企业社会责任水平与资本结构负相关,社会责任水平的高低对资本结构与企业绩效的关系有调节作用:当企业社会责任水平较高时,资本结构与企业绩效负相关;当企业社会责任水平较低时,资本结构与企业绩效正相关,资本结构对企业绩效的影响效果随着社会责任水平的变化而变化.     

基于浙江工业企业微观数据的国有资本带动产业升级累计效应分析

使用面板门限模型,通过国有资本比重对绩效影响系数在门限值前后的变化,分析国资带动产业升级作用的累计效果.通过设置虚拟变量区分不同行业类别,考察国资在哪些类别行业中能够起到对于整体的带动(挤进)作用或者挤出作用.实证结果显示,国资比例提高到门限值对于浙江整体企业管理水平有显著正向作用.国资在精细化工和医药等产业中的比例提升对于浙江整体经济的绩效有相比其他行业更加显著的正向作用,而这些行业不是明显的垄断行业.由此得出结论:国资在重点行业中的示范带动作用应该强化,以期累计作用结合混合所有制推进从而达到挤进民资和促进民企产业升级.     

基于元分析的魅力型领导与组织绩效的关系研究

在对包含12 933个样本量的53篇有效文献进行元分析的基础上,分别对营利性组织和非营利性组织中魅力型领导与个体绩效、团队绩效、组织绩效的关系研究进行定量分析。研究结果表明,魅力型领导与各层面的绩效水平均显著正相关,其中与组织绩效的相关性最高,团队绩效次之,个体绩效最低;魅力型领导的测量方法、区域文化等对魅力型领导和员工绩效之间的关系起到调节作用。此外,对魅力型领导今后的研究进行了展望。     

论民族经济学的学科地位与作用

民族经济学于1979年创建,适应了中国多民族国家的国情与社会主义现代化建设需要,具有民族学与经济学的双重学科归属.这门由中国人自己创建的经济学分支学科,在学科理论建设、学术成果积累与专业人才培养方面取得了巨大成就.并通过不可取代的学科地位与鲜明的应用性特征,展现出民族经济学的发展前景.     

Estimation of Causal Odds of Concordance using the Aalen Additive Model

A simple summary of a treatment effect is attractive, which is part of the explanation of the success of the Cox model when analysing time‐to‐event data since the relative risk measure is such a convenient summary measure. In practice, however, the Cox model may fail to give a reasonable fit, very often because of time‐changing treatment effect. The Aalen additive hazards model may be a good alternative as time‐changing effects are easily modelled within this model, but results are then evidently more complicated to communicate. In such situations, the odds of concordance measure (OC) is a convenient way of communicating results, and recently Martinussen & Pipper (2012) showed how a variant of the OC measure may be estimated based on the Aalen additive hazards model. In this study, we propose an estimator that should be preferred in observational studies as it always estimates the causal effect on the chosen scale, only assuming that there are no un‐measured confounders. The resulting estimator is shown to be consistent and asymptotically normal, and an estimator of its limiting variance is provided. Two real applications are provided.     

Bootstrap confidence bands for the CDF using ranked-set sampling

In ranked-set sampling (RSS), a stratification by ranks is used to obtain a sample that tends to be more informative than a simple random sample of the same size. Previous work has shown that if the rankings are perfect, then one can use RSS to obtain Kolmogorov–Smirnov type confidence bands for the CDF that are narrower than those obtained under simple random sampling. Here we develop Kolmogorov–Smirnov type confidence bands that work well whether the rankings are perfect or not. These confidence bands are obtained by using a smoothed bootstrap procedure that takes advantage of special features of RSS. We show through a simulation study that the coverage probabilities are close to nominal even for samples with just two or three observations. A new algorithm allows us to avoid the bootstrap simulation step when sample sizes are relatively small.     

吉林省廉租房政策实施效果、存在问题及对策

立足于吉林省廉租房政策实施效果的全面调查数据,概述了吉林省廉租房政策实施效果,以独特的视角深入分析了廉租房政策推行过程中出现的一些亟需解决的共性问题,提出了针对性的解决对策。     

Estimation of finite population mean in simple and stratified random sampling using two auxiliary variables

We propose an improved difference-cum-exponential ratio type estimator for estimating the finite population mean in simple and stratified random sampling using two auxiliary variables. We obtain properties of the estimators up to first order of approximation. The proposed class of estimators is found to be more efficient than the usual sample mean estimator, ratio estimator, exponential ratio type estimator, usual two difference type estimators, Rao (1991) estimator, Gupta and Shabbir (2008) estimator, and Grover and Kaur (2011) estimator. We use six real data sets in simple random sampling and two in stratified sampling for numerical comparisons.     

宗教、邪教与文化的挤占效应分析

从历史经验看,中国古代传统主流文化存在"信仰缺乏症",带有宗教特征的巫文化与主流文化结合,部分地满足了人们的宗教信仰需求,表现出对传统主流文化的占位效应。在当下中国,由于大量具有宗教情结人口的存在,宗教信仰作为一项次好的选择,能够发挥对邪教的文化挤出效应。