Quality self-control and co-supervision mechanism of construction agent in public investment project in China

Public investment project (PIP) plays an important role in the China economy. In order to improve the project management performance of public projects, the government is searching for a scientific system to build a construction management supervision mode. This paper introduces the policy background and connotation of Agent Construction System (ACS). As a public investment construction management model, ACS, is gradually being incorporated into the legal framework, it is necessary to improve the construction agent supervision mechanism. This article analyzes the supervision mechanism of construction agent quality management under the principle of two-stage agent mode and establishes an agent quality self-control system and a government co-supervision system. These systems take the contract management as the core and the project quality objective as the guidance. These systems also consist of a two-dimensional framework of vertical self-control and horizontal supervision, which form a quality supervision mechanism. Based on Rough Set theory, the article proposes the idea of building an agent quality self-control and government co-supervision model, and illustrates it with a flow chart for building the model, which paves the way of quantitative research for the future.     

The role of market-oriented relations in public relations: The differing perspectives of managers and practitioners in the U.S. and Taiwan

This study explored the role of market-oriented public relations. The study involved two surveys; one explored the perspectives of business managers and another of the perspectives of public relations practitioners, and compared their views concerning market-oriented and non-market-oriented relations. While business managers and public relations practitioners of non-market-oriented relations valued the contribution of market-oriented public relations to organizational effectiveness in terms of revenue generation and cost reduction, practitioners of market-oriented public relations ascribed their contribution to organizational effectiveness in terms of media publicity and exposure. This paper concludes with a discussion of practical applications and theoretical implications.     

A robust and efficient estimation method for nonparametric models with jump points

Nonparametric models with jump points have been considered by many researchers. However, most existing methods based on least squares or likelihood are sensitive when there are outliers or the error distribution is heavy tailed. In this article, a local piecewise-modal method is proposed to estimate the regression function with jump points in nonparametric models, and a piecewise-modal EM algorithm is introduced to estimate the proposed estimator. Under some regular conditions, the large-sample theory is established for the proposed estimators. Several simulations are presented to evaluate the performances of the proposed method, which shows that the proposed estimator is more efficient than the local piecewise-polynomial regression estimator in the presence of outliers or heavy tail error distribution. What is more, the proposed procedure is asymptotically equivalent to the local piecewise-polynomial regression estimator under the assumption that the error distribution is a Gaussian distribution. The proposed method is further illustrated via the sea-level pressures.     

我国制造业产能过剩问题研究

准确衡量和判断真实的产能过剩程度及其成因是科学化解产能过剩的前提.本文利用固定效应随机前沿模型测度了1980-2014年制造业分行业的产能利用率,并采用动态面板模型和系统GMM方法考察产能过剩的成因.2008年金融危机以前,我国制造业产能过剩表现为一般性、局部性和周期性;近几年的产能过剩呈现出复杂性、全局性甚至长期性特征,并且有从传统产业向新兴产业蔓延的趋势.三个层次的因素共同推动制造业产能过剩,而研发创新缓解供求关系结构性矛盾的机制尚未奏效,导致制造业产能过剩治理出现“久治不愈”现象.矫正体制性扭曲、刺激企业供给创新和激发企业有效投资,是缓解供求关系结构性矛盾、化解产能过剩的根本出路.     

景气指标分类方法的理论研究与实证

景气指标分类是景气预测法中至关重要的环节.在以往的文献中,一般采用一种方法对备选指标进行景气分类,但其结果还存在优化的空间.文章采用四种典型的景气指标分类方法:峰谷对应法、时差相关分析法、K-L信息量法、灰色关联度指标分类法对同样的多个指标进行分类.按照初定方案对四种方法的结果进行综合分析,对结果进行优化调整,应用实例表明:四种方法的优化调整结果比单一方法的结果更合理、更有效、更具有科学性.     

Optimal financing and dividend policy with Markovian switching regimes

This work investigates an optimal financing and dividend problem for an insurer whose surplus process is modulated by an observable continuous-time and finite-state Markov chain. We assume that the insurer should never go bankrupt by issuing new equity. The goal of the insurer is to maximize the expected present value of the dividends payout minus the discounted cost of equity issuance. We obtain the optimal policies and explicit expressions for the value functions when the risk reserve process is modeled by both upward jump model and its diffusion approximation. Numerical illustrations of the sensitivities of the model parameters are provided.     

Bayesian ratemaking under Dirichlet process mixtures

Experience ratemaking plays a crucial role in general insurance in determining future premiums of individuals in a portfolio by assessing observed claims from the whole portfolio. This paper investigates this problem in which claims can be modeled by certain parametric family of distributions. The Dirichlet process mixtures are employed to model the distributions of the parameters so as to make two advantages: to produce exact Bayesian experience premiums for a class of premium principles generated from generic error functions and, at the same time, provide robust and flexible ways to avoid possible bias caused by traditionally used priors such as non informative priors or conjugate priors. In this paper, the Bayesian experience ratemaking under Dirichlet process mixture models are investigated and due to the lack of analytical forms of the conditional expectations of the quantities concerned, the Gibbs sampling schemes are designed for the purpose of approximations.     

Analysis of Deviance for Hypothesis Testing in Generalized Partially Linear Models

In this study, we develop nonparametric analysis of deviance tools for generalized partially linear models based on local polynomial fitting. Assuming a canonical link, we propose expressions for both local and global analysis of deviance, which admit an additivity property that reduces to analysis of variance decompositions in the Gaussian case. Chi-square tests based on integrated likelihood functions are proposed to formally test whether the nonparametric term is significant. Simulation results are shown to illustrate the proposed chi-square tests and to compare them with an existing procedure based on penalized splines. The methodology is applied to German Bundesbank Federal Reserve data.     

Characterizations based on record values and order statistics

Consider a sequence of independent and identically distributed random variables {_Xi,i?1}$\{X_i,i?1\}$ with a common absolutely continuous distribution function F  . Let _X1:n?_X2:n???_Xn:n$X_{1:n}?X_{2:n}???X_{n:n}$ be the order statistics of {_X1,_X2,…,_Xn}$\{X_1,X_2,\dots ,X_n\}$ and {_Yl,l?1}$\{Y_l,l?1\}$ be the sequence of record values generated by {_Xi,i?1}$\{X_i,i?1\}$. In this work, the conditional distribution of _Yl$Y_l$ given _Xn:n$X_{n:n}$ is established. Some characterizations of F   based on record values and _Xn:n$X_{n:n}$ are then given.     

用Intranet模式改造传统的MIS

讨论了信息技术对企业的影响,指出传统的客户机／服务器模式下的企业管理信息系统的不足之处;分析了Ｉｎｔｒａｎｅｔ对传统的管理信息系统的体系结构所产生的影响;提出了基于浏览器／服务器的Ｉｎｔｒａｎｅｔ管理信息系统结构,该结构由网络应用支撑、信息资源管理、办公应用和事物处理应用四大平台构成。