国外土地政策研究的新变化

土地是人类赖以生存和发展的物质基础。近二十年来,土地单纯作为自然资源的价值发生了深刻的变化,已成为影响经济和政治活动的重要因素。基于土地的经济和社会价值的与日俱增,土地政策的重要性也越来越受到学者的重视,因此关于土地改革的政策研究也成为热点。     

基于资源观的企业IT能力与企业绩效研究

在企业广泛应用信息技术提高竞争能力之际,信息化如何给企业带来效益一直是国内外研究的热点问题.在回顾相关文献的基础上,利用基于资源观的概念框架分析企业IT资源,建立企业IT能力模型;采用配对样本比较和统计检验方法,对企业IT能力与企业绩效之间的关系进行实证分析.研究结果表明,具有卓越IT能力的企业会表现出更好的绩效,这些企业具有显著较高的营业净利率、总资产收益率、净资产收益率和人均净利润.企业不仅需要进行IT投资,更重要的是把IT投资内化为整个企业的IT能力,只有这样IT才会更好地给企业带来效益,这有助于指导中国企业信息化工程的建设和论证.     

Choice Functions: Rationality re-Examined

On analyzing the problem that arises whenever the set of maximal elements is large, and a selection is then required (see Peris & Subiza 1998), we realize that logical ways of selecting among maximals violate the classical notion and axioms of rationality. We arrive at the same conclusion if we analyze solutions to the problem of choosing from a tournament (where maximal elements do not necessarily exist). So, in our opinion the notion of rationality must be discussed, not only in the traditional sense of external conditions (Sen 1993), but in terms of the internal information provided by the binary relation.     

论当代中国政府经济职能的战略性重构

政府经济职能战略性重构的内涵是 :防止、纠补“政府失灵”和克服、弥补“市场失灵”。相应的对策 :一是限制和约束政府权力和职能 ,包括以政企分开为突破口 ,加快现代企业制度建设 ;规范政府干预职能及行为 ;加强对政府调控行为的监督 ;在政府经济职能重构的基础上 ,精简政府机构等。二是提升政府能力特别是宏观调控能力 ,包括财政宏观调控能力、金融宏观调控能力和行政组织调控能力 ;提高政府决策的科学化程度 ;将成本—效益观念和竞争机制引入政府调控的某些领域等 ,从而积极、适度、有效地行使政府对市场运作的宏观调控职能 ,充分发挥政府干预与市场调节二元机制的优势互补作用     

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.     

从不列颠帝国到英语帝国——英语帝国主义的特征

英语帝国主义就是英语的统治地位。这种统治地位的形成与保持建立在英语对其他语言所不断产生的结构和文化的不平等的基础之上。英语帝国主义的特征就是统治和不平等。     

吉林省体育社团发展现状与对策研究

通过对吉林省三种类型体育社团的典型代表进行访问调查,从五个方面探讨了吉林省体育社团发展的现状和存在的问题,并给出了解决对策。     

基于主体功能区划自然保护区生态补偿机制之构建与完善

根据国家主体功能区划,自然保护区被界定为禁止开发区域,必然要对其科学有效地实施生态补偿;自然保护区生态补偿机制应当结合当前主体功能区划的政策导向,进行重新定位与构建。依据公共物品与外部性等理论,为缓解现实矛盾,需积极探索构建多元化融资渠道的保护区生态补偿机制,主要涉及政府与市场两种基本途径或机制范畴,合理安排相应的政策引导与制度创新。制度构建的关键在于加快自然保护区生态补偿的立法调整,无论是政府财政转移支付还是市场经济手段的生态补偿政策,都需要立法确定其方针原则、实施模式及机制。     

Minimax estimation of a probability of success under LINEX loss

Minimax estimation of a binomial probability under LINEX loss function is considered. It is shown that no equalizer estimator is available in the statistical decision problem under consideration. It is pointed out that the problem can be solved by determining the Bayes estimator with respect to a least favorable distribution having finite support. In this situation, the optimal estimator and the least favorable distribution can be determined only by using numerical methods. Some properties of the minimax estimators and the corresponding least favorable prior distributions are provided depending on the parameters of the loss function. The properties presented are exploited in computing the minimax estimators and the least favorable distributions. The results obtained can be applied to determine minimax estimators of a cumulative distribution function and minimax estimators of a survival function.     

Quadratic estimators of covariance components in a multivariate mixed linear model

It is known that the Henderson Method III (Biometrics 9:226–252, 1953) is of special interest for the mixed linear models because the estimators of the variance components are unaffected by the parameters of the fixed factor (or factors). This article deals with generalizations and minor extensions of the results obtained for the univariate linear models. A MANOVA mixed model is presented in a convenient form and the covariance components estimators are given on finite dimensional linear spaces. The results use both the usual parametric representations and the coordinate-free approach of Kruskal (Ann Math Statist 39:70–75, 1968) and Eaton (Ann Math Statist 41:528–538, 1970). The normal equations are generalized and it is given a necessary and sufficient condition for the existence of quadratic unbiased estimators for covariance components in the considered model.