我国城市化发展的区域差异及协调发展对策

中国城市化发展具有极为显著的区域差异。文章根据多元数据比较系统地阐述了我国城市化发展的省际差异特征,剖析了其形成因素;对我国未来区域城市化的发展趋势及存在的问题进行了前瞻性分析,并有针对性地提出了促进我国区域城市化协调发展的对策与措施。     

从援助型外交走向战略型外交——日本中亚外交政策的演变浅析

从上世纪90年代以来,日本的中亚外交政策发生了显著的变化,已经逐渐从原来的“援助型外交”升级为“战略型外交”。这一转变过程分为三个阶段:“经济援助主导阶段”、“经济援助与战略外交并重阶段”以及“战略外交主导阶段”。相对于时下比较流行的“贸易说”和“能源说”,本文提出了“政治战略说”来理解日本中亚外交政策升级的背后逻辑。并总结了三大具体原因,其中内因为日本对国家政治利益的追求,外因为日美同盟关系的微妙变化以及大国地区外交竞争的推动。     

中国社会工作教育协会第五届年会暨学术讨论会综述

2006年8月13日,“中国社会工作教育协会第五届年会暨职业化前景下中国社会工作理论与实践学术研讨会”在山东济南隆重召开。会议由中国社会工作教育协会主办,山东大学哲学与社会发展学院社会工作系承办。来自海内外的近三百名专家学者出席了本次会议。本届年会是在我国社会工作     

M-quantile models with application to poverty mapping

Over the last decade there has been growing demand for estimates of population characteristics at small area level. Unfortunately, cost constraints in the design of sample surveys lead to small sample sizes within these areas and as a result direct estimation, using only the survey data, is inappropriate since it yields estimates with unacceptable levels of precision. Small area models are designed to tackle the small sample size problem. The most popular class of models for small area estimation is random effects models that include random area effects to account for between area variations. However, such models also depend on strong distributional assumptions, require a formal specification of the random part of the model and do not easily allow for outlier robust inference. An alternative approach to small area estimation that is based on the use of M-quantile models was recently proposed by Chambers and Tzavidis (Biometrika 93(2):255–268, 2006) and Tzavidis and Chambers (Robust prediction of small area means and distributions. Working paper, 2007). Unlike traditional random effects models, M-quantile models do not depend on strong distributional assumption and automatically provide outlier robust inference. In this paper we illustrate for the first time how M-quantile models can be practically employed for deriving small area estimates of poverty and inequality. The methodology we propose improves the traditional poverty mapping methods in the following ways: (a) it enables the estimation of the distribution function of the study variable within the small area of interest both under an M-quantile and a random effects model, (b) it provides analytical, instead of empirical, estimation of the mean squared error of the M-quantile small area mean estimates and (c) it employs a robust to outliers estimation method. The methodology is applied to data from the 2002 Living Standards Measurement Survey (LSMS) in Albania for estimating (a) district level estimates of the incidence of poverty in Albania, (b) district level inequality measures and (c) the distribution function of household per-capita consumption expenditure in each district. Small area estimates of poverty and inequality show that the poorest Albanian districts are in the mountainous regions (north and north east) with the wealthiest districts, which are also linked with high levels of inequality, in the coastal (south west) and southern part of country. We discuss the practical advantages of our methodology and note the consistency of our results with results from previous studies. We further demonstrate the usefulness of the M-quantile estimation framework through design-based simulations based on two realistic survey data sets containing small area information and show that the M-quantile approach may be preferable when the aim is to estimate the small area distribution function.     

基于组合赋权法的企业技术创新能力评价

为了应对工业4.0带来的挑战,新兴企业应当重点发展技术创新能力,因此采用综合方法对企业技术创新能力进行评价尤为重要.在复杂的技术创新能力评价中,需要考虑主观和客观两方面因素,文章首先从创新资源投入能力、创新实施能力和创新产出能力三个方面构建了评价指标体系;然后基于评价指标体系的构成,结合主客观赋权法评价的优点,采用组合赋权法对技术创新能力进行评价;最后通过算例说明了组合赋权评价法的有效性.     

Rate efficient estimation of realized Laplace transform of volatility with microstructure noise

In this paper, we consider the problem of estimating the Laplace transform of volatility within a fixed time interval [0,T] using high‐frequency sampling, where we assume that the discretized observations of the latent process are contaminated by microstructure noise. We use the pre‐averaging approach to deal with the effect of microstructure noise. Under the high‐frequency scenario, we obtain a consistent estimator whose convergence rate is , which is known as the optimal convergence rate of the estimation of integrated volatility functionals under the presence of microstructure noise. The related central limit theorem is established. The simulation studies justify the finite‐sample performance of the proposed estimator.     

走世界资源整合的创新之路

东软集团于1991年创立,已发展成为中国领先的软件和解决方案供应商。公司面向软件与服务、医疗系统、IT教育与培训领域,建立了相互促进的三个业务群组。2006年公司主营业务收入超过30亿元人民币,大型客户超过8000家,员工10000余人。东软集团拥有中国第一家上市的软件公司,也是中国第一家通过CMM5级、CMMI5级以及ISO27001评估的软件企业。     

Pooling designs associated with unitary space and ratio efficiency comparison

Let mathbbF^(2n+d)_q²mathbb{F}^{(2nu+delta)}_{q^{2}} be a (2ν+δ)-dimensional unitary space of mathbbF_q²mathbb{F}_{q^{2}} , where δ=0 or 1. In this paper we construct a family of inclusion matrices associated with subspaces of mathbbF^(2n+d)_q²mathbb{F}^{(2nu+delta)}_{q^{2}} , and exhibit its disjunct property. Moreover, we compare the ratio efficiency of this construction with others, and find it smaller under some conditions.     

社会影响力——传播学的新视角

社会影响力是指运用个人或团体的社会力量和法制手段在特定方向上改变他人态度或行为,也指一定历史或自然改变后人或社会的状况.在运行方式上,社会影响力主要有上下垂直影响、横向平行影响和复合型影响三种类型.在主体内容上,社会影响力可以分为文化影响力、政治影响力、宗教影响力、人物影响力和事件影响力等.作为一种动态的行为过程,社会影响力具有惯性运动、社会需求、文体认同、互动强化以及力源决定等特征.