Kairos economies in the post-Soviet transition period of Central Asia

There are times when entire populations of certain countries have had to readjust their lives and economic strategies as all of society is under transition. Post-Soviet Central Asia underwent this period after 1991. During times of transition, there are always people that tend to be able to make use of the new uncertainties, even at the risk of entering legal grey areas. Here new social groups emerge, ethnic origin becomes relevant and new kinship ties are made. These transformation periods are often short and provide limited opportunities for analysing the strategies of those pioneers that I call Kairos economists. They often act only in cooperation with residents of the border and with duty customs and security personnel. This article analyses this special economy with the help of case studies that have been observed during the transformation period from the Soviet to an independent Central Asia.     

Formation of European identity: ethnic minority groups in Central and Eastern Europe in generational perspective

Research into European identity has mostly focused on majority populations in Western European countries, neglecting new member states in Central and Eastern Europe (CEE) as well as ethnic minority groups. This paper contributes to filling this gap by exploring and investigating processes of European identity formation of five ethnic minority groups in four CEE countries. A generational perspective was applied by conducting qualitative in-depth interviews with three generations of ethnic minority group members. The results support the instrumental approach of identity construction. In all minority groups researched, the young generation, due to more positive personal experiences and perceived benefits from the European Union, have developed more positive images and perceptions of Europe and a greater sense of European identity than older generations. Furthermore, ethnic group-specific processes of identity formation were found.     

中原城市群信息化水平研究

信息化正在逐渐成为推动区域经济和社会全面发展的关键因素。对中原城市群信息化建设的现状进行了分析,认为要使中原城市群成为实现中原崛起的龙头,发挥其对河南省经济发展的拉动和辐射作用,需要相关部门在政策、信息基础设施、人才教育和培养等方面加以扶持,将信息化作为制定地区经济发展战略的一个重要因素。     

新中国民族理论研究特色论——构建中国民族理论话语体系研究系列之一

在中国民族学的理论来源及其发展上,无论是舶来说、本土化,还是中国化,都是把西方民族学作为中国民族学研究的理论出发点和立足点,难免会陷入一种以经典诠释现实、以今套古、以外导内的研究困境。坚持中国民族理论的中国特色论,就在于从我国统一多民族国家的历史以及几千年的民族传统文化的解读和研究出发,以中国各民族的发展史来作为中国民族理论研究的主干思想,中学为主西学为用,这样才能促进中国特色社会主义民族理论体系的完善和发展。     

中原经济区工业与信息化自主创新对策初探

河南省工业与信息化领域如何从本省实际出发,吸取国内外成功经验,增强区域自主创新能力,是河南省科技工作和经济工作的第一要务,是全面推进中原经济区建设、加快中原崛起河南振兴的关键。通过对"十一五"时期河南省工业与信息化领域自主创新能力现状进行分析,结合国家自主创新战略,提出了"十二五"河南省工业与信息化领域提升自主创新能力应遵循的原则,并结合行业特点提出了相应行业自主创新工作对策,以期能对中原经济区建设发挥更大作用。     

中原经济区建设中的城建档案信息资源开发

城建档案信息对城市的发展具有重要价值。中原经济区建设战略的实施,必将使城市建设规模迅速扩大,由此形成的城建档案数量急剧增多。重视城建档案信息资源的收集、整理,充分开发利用城建档案资源,不断提高其利用率,是发挥档案信息资源效益服务中原经济区建设的一条重要途径。     

欧洲主权债务危机与欧洲中央银行制度上的缺陷

中央银行最后贷款人职能是现代中央银行的一个重要职能,尤其在经济下降并发生市场恐慌时期,中央银行发挥这一职能是维持金融体系安全稳定的重要保障。由于欧洲中央银行缺乏这一职能,欧元区主权债务危机很难在短期内被彻底平息。欧盟只有进行改革,赋予欧洲中央银行这一职能,才能让其在解救欧元区高负债国家的债务危机中发挥更大的作用。同时,现代中央银行履行最后贷款人职能时,还必须遵循应有的原则以及处理好与中央银行货币政策目标的关系。     

广州服务全国的战略路径研究

国务院颁布实施的《珠江三角洲地区改革发展规划纲要（2008—2020年）》赋予了广州重大的历史使命,从国家战略层面明确提出要强化广州国家中心城市地位,把广州建设成为服务全国,面向世界的国际大都市。新的发展定位要求广州要肩负起服务全国的使命。在此背景下,本文分析了广州服务全国的基础现状,提出了广州服务全国的发展目标与战略,最后就广州服务全国提出五大战略路径。     

A variable-neighbourhood search algorithm for finding optimal run orders in the presence of serial correlation

The responses obtained from response surface designs that are run sequentially often exhibit serial correlation or time trends. The order in which the runs of the design are performed then has an impact on the precision of the parameter estimators. This article proposes the use of a variable-neighbourhood search algorithm to compute run orders that guarantee a precise estimation of the effects of the experimental factors. The importance of using good run orders is demonstrated by seeking D-optimal run orders for a central composite design in the presence of an AR(1) autocorrelation pattern.     

On distribution-weighted partial least squares with diverging number of highly correlated predictors

Summary.  Because highly correlated data arise from many scientific fields, we investigate parameter estimation in a semiparametric regression model with diverging number of predictors that are highly correlated. For this, we first develop a distribution-weighted least squares estimator that can recover directions in the central subspace, then use the distribution-weighted least squares estimator as a seed vector and project it onto a Krylov space by partial least squares to avoid computing the inverse of the covariance of predictors. Thus, distrbution-weighted partial least squares can handle the cases with high dimensional and highly correlated predictors. Furthermore, we also suggest an iterative algorithm for obtaining a better initial value before implementing partial least squares. For theoretical investigation, we obtain strong consistency and asymptotic normality when the dimension p of predictors is of convergence rate O { n ^1/2/ log ( n )} and o ( n ^1/3) respectively where n is the sample size. When there are no other constraints on the covariance of predictors, the rates n ^1/2 and n ^1/3 are optimal. We also propose a Bayesian information criterion type of criterion to estimate the dimension of the Krylov space in the partial least squares procedure. Illustrative examples with a real data set and comprehensive simulations demonstrate that the method is robust to non-ellipticity and works well even in 'small n –large p ' problems.