产品服务供应链的“双重收益共享”合作机制

产品与服务融合缓解了"供需错位"矛盾，使得产品服务供应链探索成为"供给侧结构性改革"下供需结构性匹配的重要路径。本文刻画产品服务视角下供应链组织结构的本质特征，构建产品服务供应链合作模型，探讨合作机制下"帕累托改进"区间存在性，揭示合作机制对产品服务供应链效率的作用机理。核心研究发现：供应链多元化组织结构加剧收益分配冲突，并导致服务规模与供应链效率"倒挂"现象，而合作机制下"双重收益共享"合作模型能提升产品服务供应链效率。     

A new algorithm to estimate monotone nonparametric link functions and a comparison with parametric approach

The generalized linear model (GLM) is a class of regression models where the means of the response variables and the linear predictors are joined through a link function. Standard GLM assumes the link function is fixed, and one can form more flexible GLM by either estimating the flexible link function from a parametric family of link functions or estimating it nonparametically. In this paper, we propose a new algorithm that uses P-spline for nonparametrically estimating the link function which is guaranteed to be monotone. It is equivalent to fit the generalized single index model with monotonicity constraint. We also conduct extensive simulation studies to compare our nonparametric approach for estimating link function with various parametric approaches, including traditional logit, probit and robit link functions, and two recently developed link functions, the generalized extreme value link and the symmetric power logit link. The simulation study shows that the link function estimated nonparametrically by our proposed algorithm performs well under a wide range of different true link functions and outperforms parametric approaches when they are misspecified. A real data example is used to illustrate the results.     

Multi-neighborhood based iterated tabu search for routing and wavelength assignment problem

The routing and wavelength assignment problem (RWA) has shown to be NP-hard if the wavelength continuity constraint and the objective of minimizing the number of wavelengths are considered. This paper introduces a multi-neighborhood based iterated tabu search algorithm (MN-ITS), which consists of three neighborhoods with a unified incremental evaluation method, to solve the min-RWA problem. The proposed MN-ITS algorithm is tested on a set of widely studied real world instances as well as a set of challenging random ones in the literature. Comparison with other reference algorithms shows that the MN-ITS algorithm is able to improve five best upper bounds obtained by other competitive reference algorithms in the literature. This paper also presents an analysis to show the significance of the unified incremental evaluation technique and the combination of multiple neighborhoods.     

China–Italy–Ticino Family Business Cooperation Forum Held in Ningbo

Nearly 200 family business leaders from China, Italy and Switzerland, experts, scholars and "Ningbo Enterprise Successors Union" met in Jiangbei District of Ningbo City on September 17 to attend the first China Italy Ticino Family Business Cooperation Forum.     

以行为分析学为指导科学构建学生综合素质考评体系

目前,大部分高职院校对学生的考核模式不适应社会对高职院校学生的要求。应当建立科学的考评体系,对学生的行为进行科学的分析,为学生综合素质考评提供依据,促使学生能扬长避短,不断进步。     

基于改进贝叶斯网络的省级政府债务风险预警模型

利用格兰杰非因果关系检验确定贝叶斯网络节点,反映经济变量之间的影响方式。采用误判率最小原则,确定预警指标临界值。利用贝叶斯网络学习,确定贝叶斯网络节点的后验概率。利用贝叶斯网络推理,测算地方政府债务风险,计算预警指标变化对省级政府债务违约概率的影响。研究结果表明:财政收入/财政支出与GDP增速/债务增速是预警省级政府债务风险的最重要指标,保持债务依存度、GDP增速/债务增速和民间投资增速/政府债务增速在适度区间内,能够有效降低省级政府债务风险。     

与能源消耗等指标发生偏离的GDP是否可信

本文选取了1995-2014年全国30个省市数据,综合使用了向量自回归模型、参数面板模型、非参数面板模型和面板门限模型对GDP增速与电力消费增速、第二产业增速、第三产业增速、财政收入增速、货物流转增速、能源消费增速和固定资产投资增速等物理性指标间的关系进行了建模.实证研究发现,GDP增速、电力消费增速、第三产业增速、能源消费增速之间存在作用机制,但是这种影响模式并非一成不变,在不同时间段内,其模式发生改变,同时,这一影响模式也随着人均GDP的变化而发生阶段性改变.在经济新常态下,不能因为经济转型中的GDP数据与物理指数之间发生偏离,而简单否定GDP的准确性.     

Fast robust feature screening for ultrahigh-dimensional varying coefficient models

In this paper, we propose a new partial correlation, the so-called composite quantile partial correlation, to measure the relationship of two variables given other variables. We further use this correlation to screen variables in ultrahigh-dimensional varying coefficient models. Our proposed method is fast and robust against outliers and can be efficiently employed in both single index variable and multiple index variable varying coefficient models. Numerical results indicate the preference of our proposed method.     

幼儿快乐阅读习惯的培养路径

阅读是一种良好的习惯,它对人的一生发展起着十分重要的作用。近年来，学前阅读的重要性受到了社会的高度关注，大家纷纷开展多种形式的幼儿阅读活动,然而,如何在学前阶段培养幼儿良好的阅读意识、阅读方法，为他们进入学校后开展书面语言学习及终身学习打下良好的基础，是目前幼儿教育工作中的一个重要问题之一。因此,我们积极地开展了以培养幼儿快乐的阅读习惯为主要内容的探索,旨在通过为幼儿创设适宜的阅读环境,激发幼儿快乐开展阅读活动。     

两部门经济周期波动模型——对卡尔多周期模型的古典解释

在古典假设及卡尔多经济周期模型的基础上,本文构建了一个包含家庭与企业的两部门经济周期波动模型。首先,将工资收入用于消费,资本性收入用于储蓄这一古典假设与卡尔多非线性函数思想相结合对模型中的消费、储蓄、投资三个函数进行重新界定;其次,卡尔多模型中储蓄投资曲线的关系在本模型中表现为企业每一期的利润决定了经济脱离一般均衡后的运行状态,一旦经济脱离一般均衡状态,企业利润的变动将引起投资的变化,投资在长期中向资本存量的转化使得工资总额与资本存量及总收入的结构比例关系随之改变,收入流量与资本存量的结构失衡最终导致经济形成周期波动之势。