完善我国公司治理结构的路径探析

公司治理结构在当代的发展趋势之一是利益相关者共同参与公司治理。我国公司股权集中、内部人控制严重、外部监督机制失灵的治理现状,决定了完善我国公司治理结构的有效路径应是构建利益相关者共同参与的公司治理结构,即将非股东的其他利益相关者引入公司治理,直接参与公司的经营、控制与监督。     

大规模定制生产的业务流程浅析

随着经济社会的转型,企业面对着越来越强大的三股力量:客户、竞争、变化。在该三股力量的不断冲击下,企业原有的生产模式———大规模生产逐渐失去竞争优势。在这种情形下,一种新的生产模式,即大规模定制生产应运而生,并且已经在众多领域成为主流的生产模式。针对大规模定制生产的特点,可以产生出一种新的矩阵结构的业务流程,该矩阵结构的业务流程具有充分的柔性,能够很好地支撑大规模定制生产,发挥其竞争优势。     

Generalized additive models for location, scale and shape

Summary.  A general class of statistical models for a univariate response variable is presented which we call the generalized additive model for location, scale and shape (GAMLSS). The model assumes independent observations of the response variable y given the parameters, the explanatory variables and the values of the random effects. The distribution for the response variable in the GAMLSS can be selected from a very general family of distributions including highly skew or kurtotic continuous and discrete distributions. The systematic part of the model is expanded to allow modelling not only of the mean (or location) but also of the other parameters of the distribution of y , as parametric and/or additive nonparametric (smooth) functions of explanatory variables and/or random-effects terms. Maximum (penalized) likelihood estimation is used to fit the (non)parametric models. A Newton–Raphson or Fisher scoring algorithm is used to maximize the (penalized) likelihood. The additive terms in the model are fitted by using a backfitting algorithm. Censored data are easily incorporated into the framework. Five data sets from different fields of application are analysed to emphasize the generality of the GAMLSS class of models.     

上古汉语空间范畴的语法化方式

句法和语义必须相互结合,相互渗透,这样才能把语法研究引向深入。本文即以上古汉语为分析材料,从空间范畴意义入手,讨论上古汉语空间范畴意义的语法化方式,突出了语义在语法研究中的重要性。     

优化我国能源结构的基本对策

我国能源结构存在着以煤炭能源为主、能源效率低、地区性能源短缺以及结构性污染等问题,严重制约着国民经济的发展和产业结构的提升.强化煤炭能源的基础地位、充分利用天然气、石油资源、发展可再生能源、充分利用国内外两种资源两个市场、调整区域能源结构等是优化我国能源结构的基本对策.     

Bayesian analysis of a marked point process: Application in seismic hazard assessment

Point processes are the stochastic models most suitable for describing physical phenomena that appear at irregularly spaced times, such as the earthquakes. These processes are uniquely characterized by their conditional intensity, that is, by the probability that an event will occur in the infinitesimal interval (t, t+Δt), given the history of the process up tot. The seismic phenomenon displays different behaviours on different time and size scales; in particular, the occurrence of destructive shocks over some centuries in a seismogenic region may be explained by the elastic rebound theory. This theory has inspired the so-called stress release models: their conditional intensity translates the idea that an earthquake produces a sudden decrease in the amount of strain accumulated gradually over time along a fault, and the subsequent event occurs when the stress exceeds the strength of the medium. This study has a double objective: the formulation of these models in the Bayesian framework, and the assignment to each event of a mark, that is its magnitude, modelled through a distribution that depends at timet on the stress level accumulated up to that instant. The resulting parameter space is constrained and dependent on the data, complicating Bayesian computation and analysis. We have resorted to Monte Carlo methods to solve these problems.     

Real nonparametric regression using complex wavelets

Summary.  Wavelet shrinkage is an effective nonparametric regression technique, especially when the underlying curve has irregular features such as spikes or discontinuities. The basic idea is simple: take the discrete wavelet transform of data consisting of a signal corrupted by noise; shrink or remove the wavelet coefficients to remove the noise; then invert the discrete wavelet transform to form an estimate of the true underlying curve. Various researchers have proposed increasingly sophisticated methods of doing this by using real-valued wavelets. Complex-valued wavelets exist but are rarely used. We propose two new complex-valued wavelet shrinkage techniques: one based on multiwavelet style shrinkage and the other using Bayesian methods. Extensive simulations show that our methods almost always give significantly more accurate estimates than methods based on real-valued wavelets. Further, our multiwavelet style shrinkage method is both simpler and dramatically faster than its competitors. To understand the excellent performance of this method we present a new risk bound on its hard thresholded coefficients.     

基于主成分分析的我国西部地区间产业结构转换能力评价

产业结构的演进和转换是经济发展的本质特征,也是促进经济持续稳定协调发展的关键。西部地区产业结构转换能力的地区差异十分明显,本文阐述了影响地区产业结构转换的一般因素,并通过主成分分析方法对影响西部地区产业结构转换的主要因素进行了分析,并对西部各地区产业结构转换能力、转换速度以及转换方向进行了分析评价。     

技术创新活动的系统维度及其宏观等级结构

人类的技术创新活动乃是一个合理映射着各类科技、经济、政治、文化、教育、自然、人力,物质和信息等多重自然与社会力量和因素的全息超级复杂巨系统。创新主体、创新客体、创新主客体中介、项目、市场、技术机会、科技成果、教育与培训、经济环境、法律环境、政策环境、文化环境、经济与政治体制环境、信息服务环境、自然资源环境、基础设施与条件、人口环境等则是构成技术创新活动域的17个系统维度。这17个系统维度又可以区分为三个等级层次:内核要素圈层、外围要素圈层、环境影响因素圈层。     

国有企业的特殊性与我国国有企业的布局定位

国有企业特殊性的真实内涵表现为,它有着特殊的所有者和所有者代表、特殊的社会目标、特殊的社会经济功能和特殊的产权组织运作机制。因此,越是在以社会目标为主的产业领域,国有企业就越有存在的价值。尽管国有企业的布局是一种趋向性和开放式的动态布局,但它所传递的信息表明国有企业会在特殊产业领域中以合适的方式继续存在并扮演重要角色。