Corporate planning at Rolls-Royce Motors Limited

In this article the authors describe the introduction to date of a formal planning process at a British manufacturing company which, according to its recent performance, had no pressing need to implement radical change. Is Rolls-Royce Motors' decision the symptom of a new trend in industry to overhaul planning techniques while the going is good? How was company morale used to justify a new planning style? Why did an evidently capable organization choose to engage consultancy assistance? While the company's intentions are not yet fully achieved, its experience may be of benefit to others contemplating a similar decision.     

中国国际政治研究机构和地区影响力分析——基于CSSCI的分析(2001-2005)

本文利用CSSCI的统计数据,对我国国际政治领域的研究从机构和地区两个角度进行了分析评价,对读者了解我国的国际政治研究的现状和分布有一定参考价值。     

资源型工矿业城市的再就业问题——以唐山市为例

资源型工矿业城市的再就业问题与其他城市相比具有特殊性和解决的紧迫性与困难性。本文以唐山市为例 ,在分析资源型工矿业城市再就业的困境及形成原因的基础上 ,探讨了这类城市再就业难题的解困思路     

文化创意产业的金融抑制现状研究

近年来文化创意产业逐渐成为新时期国民经济增长的新动力,然而由于金融发展水平低下,文化创意产业出现了金融抑制现象。应用MRW模型对中国文化创意产业金融抑制现象进行实证分析,发现文化创意产业价值评估难是导致金融抑制的主要原因。应完善金融机构文化创意产业评估机制,对文化创意产品的内在价值进行合理的评估,进而减缓文化创意产业的金融抑制现象的发生。     

加里·史密斯 沈阳变化太快了

<正>沈阳的发展太快了,记得在两年前刚到这里,看到的是很多拆迁的房屋,路边还有许多正在施工的吊车,可是短短的两年时间就让这里有了太多的改变,一座座崭新现代的建筑物纷纷拔地而起。沈阳,一座旧的城市正在发生着日新月异的变化。加里·史密斯(Gary Smith)感慨地向记者讲述着沈阳城市的变化。     

Low Fertility and the Housing Market: Evidence from Swedish Regional Data

The long-term effect of low birth rates is a decline in the population share of children and young adults. How will such changes in age structure affect the housing market? In this article, panel data sets for Swedish municipalities from 1981 to 2006 are used to answer this question. The use of panel data makes it possible to control for the effect of national-level policy shifts and macroeconomic events through the introduction of fixed time effects. The results show that population aging could lead to less rapid house price growth in the first decades of the twenty first century, compared to the last decades of the twentieth century. These results also hold when local population growth, income growth, and educational levels are controlled for.     

Alternative posterior consistency results in nonparametric binary regression using Gaussian process priors

We establish consistency of posterior distribution when a Gaussian process prior is used as a prior distribution for the unknown binary regression function. Specifically, we take the work of Ghosal and Roy [2006. Posterior consistency of Gaussian process prior for nonparametric binary regression. Ann. Statist. 34, 2413–2429] as our starting point, and then weaken their assumptions on the smoothness of the Gaussian process kernel while retaining a stronger yet applicable condition about design points. Furthermore, we extend their results to multi-dimensional covariates under a weaker smoothness condition on the Gaussian process. Finally, we study the extent to which posterior consistency can be achieved under a general model where, when additional hyperparameters in the covariance function of a Gaussian process are involved.     

On-Line Scheduling of Two-Machine Open Shops Where Jobs Arrive Over Time

We investigate the problem of on-line scheduling two-machine open shops with the objective of minimizing the makespan.Jobs arrive independently over time, and the existence of a job is not known until its arrival. In the clairvoyant on-line model, the processing requirement of every job becomes fully known at the arrival of the job, while inthe non-clairvoyant on-line model, this processing requirement is notknown until the job is processed and completed.In both models, scheduling of a job is irrevocable.We study the two-machine open shop problem for both models in the preemptive and in the non-preemptive version. For each of the four variants, we provide an algorithm that is best possible with respect to the worst-case performance. In the clairvoyant on-line model, the best worst-case performance ratios are 5/4 (preemptive) and 3/2 (non-preemptive), and in the non-clairvoyant on-line model, they are 3/2 (preemptive and non-preemptive).