我国产权制度的变迁及其趋势

我国私营经济是在传统的公有制经济的土壤中发展起来的,其发展必然与传统体制发生摩擦与冲突。本文总结了我国产权制度变革的路径,分析了影响私营经济可持续发展的产权制度障碍,根据我国产权制度改革的轨迹,预测了产权制度变迁的趋势和特征。     

The Effects of Participation and Job-Relevant Information on the Relationship Between Evaluative Style and Job Satisfaction

This study investigates the intervening effects of budgetary participation and job-relevant information on the relationship between budget emphasis and job satisfaction. It proposes that budgetary participation and job-relevant information are endogenous to budget emphasis. Using the path analytical technique and based on a sample of 152 senior managers, the study found that budget emphasis has an insignificant direct effect on job satisfaction, but a strong indirect effect through job-relevant information and budgetary participation. The results also indicate that job-relevant information has an intervening effect on the relationship between participation and job satisfaction.     

Predicting the geo-temporal variations of crime and disorder

Traditional police boundaries—precincts, patrol districts, etc.—often fail to reflect the true distribution of criminal activity and thus do little to assist in the optimal allocation of police resources. This paper introduces methods for crime incident forecasting by focusing upon geographical areas of concern that transcend traditional policing boundaries. The computerised procedure utilises a geographical crime incidence-scanning algorithm to identify clusters with relatively high levels of crime (hot spots). These clusters provide sufficient data for training artificial neural networks (ANNs) capable of modelling trends within them. The approach to ANN specification and estimation is enhanced by application of a novel and noteworthy approach, the Gamma test (GT).     

高等职业院校实践学分制的思考

高等职业院校实施学分制是教育教学改革的必然趋势,因此,高等职业院校要勇于实践,不断探索。文章就高等职业院校如何实践学分制,提出了从制订学分制的政策、学分制的操作流程到建立学分制管理手段的一些建议。     

科学创新的人文动源系统

创新是当今世界发展的主题,科学创新是创新链条的初环,研究科学创新的动力系统成为一种必然.科学创新的人文内涵表现在各种人文要素对其影响上,这些结构要素的系统动力学效应成为科学创新的动力源泉.这些人文要素大体包括哲学、宗教、政治制度、法律、社会道德、文学和艺术等.它们主要从诱发基本观念、规范、情感三个角度对科学创新产生影响.     

供应链管理绩效评价及激励机制

本文通过分析供应链管理的特点、目标和内容，提出供应链管理绩效评价指标体系，其中矩阵指标具有一定的创新，且较好地反映了供应链企业之间的复杂关系。介绍了确定供应链管理的绩效指标值的两种方法，并分析了供应链管理六种激励模式。     

会计在风险管理中的作用

风险无处不在,如何在管理中规避或利用风险是企业成功的关键之一.企业应在分析风险成因的基础上,对风险计量、会计披露制度、会计信息的反馈控制功能在风险管理活动中的作用进行分析,从会计学角度采取风险管理的具体措施.     

论我国现行代理制度的缺陷及完善

代理制度是民商法中一项重要的法律制度,它在现代商品经济中起着不可或缺的作用。过去我国由于商品经济长期不发达,我国的民法,特别是其中的代理制度处于严重的滞后状态,这对我国目前市场经济的发展产生了负面影响。因此,对我国民事代理制度存在的缺陷加以检讨和反思,以期对我国的代理立法和实务有所裨益。     

On Sraffa's Standard commodity: is its price invariant with respect to changes in income distribution?

In his 1960 book, Sraffa suggested using a composite commodity,which he called the ‘Standard commodity’, to solveRicardo's search for an invariable measure of value, i.e., astandard capable of isolating the price movements of any othercommodity induced by changes in income distribution. The absencein Sraffa's book of an explicit proof of the invariance propertyof this standard gave rise to many misunderstandings about itsmeaning and its role as an invariable measure of value. In orderto clear up these questions, Bellino (On Sraffa's Standard commodity,Cambridge Journal of Economics, vol. 28, 121–32, 2004)has proposed a ‘proper’ definition of an ‘invariablemeasure of value’, showing that Sraffa's Standard commoditydoes fulfil the requirements of this definition. He claims thatthe fulfilment of this property (but not the constancy of its‘nominal’ price) qualifies the Standard commodityas an invariable measure of value. In this paper, a proof ofthe invariance of the price of the Standard commodity with respectto changes in income distribution is given, and the equivalenceof this property with Bellino's definition of invariance isshown.     

An investigation of transformation-based prediction interval for the Weibull median life

Statistical inference based on the Weibull distribution, a distribution widely used in reliability and survival analysis, is usually difficult as it often involves numerical computation and approximation. However, this distribution can be transformed to near-normality by a simple power transformation. Based on this transformation, a prediction interval (PI) for its median can be easily constructed through an inverse transformation. The procedure for selecting the best power transformation through minimizing Kullback-Leibler information is described. The property of this transformation-based PI is investigated. Simple correction factors are also proposed. It is shown that the transformation-based PI with corrections performs well, irrespective of the sample size and parameter values. Simulation results show that the new PI generally outperforms the existing PI. Numerical examples are given for illustration.