Can Quasi‐market and Multi‐level Governance Co‐exist? Insights from the Case of Lombardy's Employment Services System

This article explores the functioning of Lombardy's networked employment services system, inspired by quasi‐market and horizontal subsidiarity principles, and specifically addresses a gap in the quasi‐market literature, where little attention is devoted to the role played by institutions at lower levels of government. A qualitative study of the Lombardy system, with a focus on the municipality of Milan, is relied upon in order to explore the extent to which the principles of quasi‐market and multi‐level governance pursued by the regional government are allowed to co‐exist in practice. Here, sub‐regional levels of government are directly involved in services provision, but enjoy a more privileged condition relative to the private providers, thereby jeopardizing the implementation of an effective quasi‐market. The article contributes to existing theories by suggesting that horizontal subsidiarity and marketization cannot neglect multi‐level governance in those sectors where public bodies at various levels of government are directly involved in implementation.     

Local influence in seemingly unrelated regression model with ridge estimate

Local influence is a well-known method for identifying the influential observations in a dataset and commonly needed in a statistical analysis. In this paper, we study the local influence on the parameters of interest in the seemingly unrelated regression model with ridge estimation, when there exists collinearity among the explanatory variables. We examine two types of perturbation schemes to identify influential observations: the perturbation of variance and the perturbation of individual explanatory variables. Finally, the efficacy of our proposed method is illustrated by analyzing [13 A. Munnell, Why has productivity declined? Productivity and public investment, New Engl. Econ. Rev. (1990), pp. 3–22. [Google Scholar]] productivity dataset.     

Robust modal estimation and variable selection for single-index varying-coefficient models

In this article, we present a new efficient iteration estimation approach based on local modal regression for single-index varying-coefficient models. The resulted estimators are shown to be robust with regardless of outliers and error distributions. The asymptotic properties of the estimators are established under some regularity conditions and a practical modified EM algorithm is proposed for the new method. Moreover, to achieve sparse estimator when there exists irrelevant variables in the index parameters, a variable selection procedure based on SCAD penalty is developed to select significant parametric covariates and the well-known oracle properties are also derived. Finally, some numerical examples with various distributed errors and a real data analysis are conducted to illustrate the validity and feasibility of our proposed method.     

Changing symbolic and geographical boundaries between penal zones and rural communities in the Russian Federation

The article examines the processes involved in the integration of the USSR's secret places into mainstream rural society in the Russian Federation. Taking the example of one rural district in the Volga-Ural region that has been the site of a large prison complex over a period of ninety years, the article examines how economic changes and local government and penal reforms have eroded the boundary that marked off the penal region from the rural district in which it was located. Using interviews and social surveys conducted among the local population, the article examines the extent to which the opening of the penal sub-region has led to changes in the symbolic boundary between the communities in the rural raion. The article concludes that although new spaces of active government are being produced in rural Russia, these are not necessarily the basis for the emergence of new common identities among the people living in them.     

Thought on Normalixing Movement of Learning Leifeng in Colleges and Universities

大学生正处于世界观、人生观、价值观形成的关键时期,迫切需要先进典型的感召与引领、崇高精神的激励与熏陶。高校应结合当前学雷锋活动情况,创新学习教育内容,加强开展学雷锋活动意义、雷锋先进事迹和雷锋精神内涵的教育：采取丰富多彩的形式,在学习教育活动、校园文化建设和志愿者服务实践中,大力弘扬和积极践行雷锋精神;完善科学高效机制,构建和完善常态化组织领导、政策制度和科学评价机制,推动学雷锋活动常态化,使高校在学雷锋活动中始终走在全社会的前列。     

On square ordinal contingency tables: a comparison of social class and income mobility for the same individuals

Summary.  Square contingency tables with matching ordinal rows and columns arise in particular as empirical transition matrices and the paper considers these in the context of social class and income mobility tables. Such tables relate the socio-economic position of parents to the socio-economic position of their child in adulthood. The level of association between parental and child socio-economic position is taken as a measure of mobility. Several approaches to analysis are described and illustrated by UK data in which interest focuses on comparisons of social class and income mobility tables that are derived from the same individuals. Account is taken of the use of the same individuals in the two tables. Additionally comparisons over time are considered.     

地方院校人才培养中若干问题的调查研究

高等教育的国际化和大众化,既给地方高校带来了机遇,也带来了挑战,其中最突出的就是人才培养问题。如何培养和造就具有创新精神和创新能力的高素质人才,是地方院校亟待解决的重要课题。以我校调查问卷结果为切入点,力求理清目前地方院校人才培养的困境,进而提出合理的对策与建议。     

高校心理辅导站建立的初步探析

高校心理辅导站的建立为心理健康教育提供了新的平台,它的优势是显而易见的。本文阐述了心理辅导站建立的意义、定位及作用,并对辅导站的发展瓶颈及对策进行了初步探究。     

从贵阳市看地方政府对城市品牌形象传播的管理和引导

城市的形象是传播资源和传播渠道综合作用的结果,而无论哪种城市形象的传播,政府都是城市形象定位的领导者。像贵阳市那样,准确的城市形象定位能反映一个城市的特色和优势,激发城市的内在潜力,为城市特定时期的发展提供目标指向。     

加强高校青年教师廉洁教育的几点思考

加强高校青年教师廉洁教育是新时期高校反腐倡廉建设的一项重要任务。目前高校青年教师的廉洁状况总体是令人满意的,但在个别教师身上也存在着一些问题,这就使这项教育显得更为迫切。加强高校青年教师的廉洁教育要从组织、文化和个人三个方面着手,教育的各个方面形成合力,才能保证廉洁教育取得最佳的效果。