法律近代化与济弱功能的弱化

中国法律近代化基本上是西方法系移植的结果,在公平、自由的形式下,把底层劳动者置于弱势地位,因社会转型政府集中力量致力于自强与独立使其付出的代价,无法得到补偿和救济;而传统的社会救济体系已被打破,下层民众得不到政府的关照,处于生存危机状态。     

服务创新：电信企业转型的选择

面对技术、竞争、供求、全球化等市场变革,电信企业受到了前所未有的挑战和冲击。为了在新的形势下继续生存和发展,国外电信运营商率先进行了转型实践,与此同时,我国的电信企业也在积极探索转型的道路。在技术很难再成为电信企业主导优势的情况下,个性化、差异化的服务将成为企业赢得市场的法宝,因此电信企业应该在转型的过程中,打破现有的服务模式,实现服务的创新,从而增强企业的核心竞争力。     

实现价值观“低碳化”改造的意义与路径

生态危机与资源短缺的双重压力,使社会发展面临＂低碳化＂转向。为抓住这机会,要以消除＂低碳＂认知误区来强化价值观基础,以价值观低碳化改造来消除＂知行相背＂,以系统化措施来推进价值观低碳化改造的社会良性循环。     

Interdisciplinary and Interorganizational Research: Establishing the Science of Enterprise Networks

We review and discuss the evolution of interdisciplinary and interorganizational research in operations management and suggest directions for future investigations. The proposed operations management research focus is one that embraces a more holistic view of an “extended enterprise” which involves working with a new business model—the organization as a network. This methodology starts by treating the organization as a system that is enabled by information technology and is characterized by ubiquitous information sharing across traditional enterprise. Proper integration of technology, business processes and people factors needs to be developed to create higher value from networked enterprises. Operations management research future lies in establishing this science from an interdisciplinary perspective. We analyze this perspective in the context of papers published in the first 50 issues of Production and Operations Management and the related literature.     

正确理解隐喻引起的词汇变化

本文首先分析了隐喻对词汇的变化所产生的影响,包括:一词多义、词性转换、复合造词和成语,然后提出了提高隐喻认知能力的有效对策:扩大基本词汇量、掌握隐喻产生的基础以及重视语境对隐喻理解的作用。     

渐进过程中的政府职能转变:价值、动因与阻力

在现代社会,作为工具性的政府是建立在合目的性的基础上的,是产生于社会并服务于社会的组织体;政治越发展,政府就越能增进与实现公共利益。因而,公共性是现代政府的价值追求,在转变政府职能过程中,不能违背、侵蚀这一价值定位。在转型的中国,政府存在并运转于一定的空间中,具体的政治、经济、文化等要素集结成一定层级政府的任务环境,它们形成了推动政府职能转变的强大动力,也影响着政府职能转变的效度。政府职能转变之所以步履维艰、过程之所以呈现出渐进的特征,一个非常重要的原因在于它受到来自政府、市场和社会等多重因素的影响:全能政府的惯性、职责同构的弊端、市场质量的影响和社会发育的迟缓以及现实利益的阻隔。政府职能的转变不仅取决于政府自身的作为,市场质量、社会组织的自组织力也是影响其效度的重要函数。因而,在相当长的时间里,政府职能转变仍然会是行政改革中的重要议题。     

道路转换与村寨社会变迁——以汶川县羌锋村的民族志考察为例

阿坝州汶川县羌锋村为“西羌第一村”,途经该村寨的道路数次转变。长时段来看,羌锋村经历了灌松古道、现代道路两种不同的道路类型,其中现代道路又可分为成阿公路、国道213线、都汶高速三个不同时期出现的三种现代道路。不同阶段道路的演变均发生在特定时代背景下,继而引起了村落不同层面的社会变迁。道路的连通疏通了地区间的隔离,打开了羌锋村与外界交流的大门,扩大了羌锋村与外界沟通的范围,村寨社会发生变迁的涉及面也愈发广泛,村落重塑的效果也逐步显著。     

Regression analysis of informative current status data with the semiparametric linear transformation model

Many methods have been developed in the literature for regression analysis of current status data with noninformative censoring and also some approaches have been proposed for semiparametric regression analysis of current status data with informative censoring. However, the existing approaches for the latter situation are mainly on specific models such as the proportional hazards model and the additive hazard model. Corresponding to this, in this paper, we consider a general class of semiparametric linear transformation models and develop a sieve maximum likelihood estimation approach for the inference. In the method, the copula model is employed to describe the informative censoring or relationship between the failure time of interest and the censoring time, and Bernstein polynomials are used to approximate the nonparametric functions involved. The asymptotic consistency and normality of the proposed estimators are established, and an extensive simulation study is conducted and indicates that the proposed approach works well for practical situations. In addition, an illustrative example is provided.     

Exponentiated generalized Pareto distribution: Properties and applications towards extreme value theory

The GPD is a central distribution in modelling heavy tails in many applications. Applying the GPD to actual datasets however is not trivial. In this paper we propose the Exponentiated GPD (exGPD), created via log-transform of the GPD variable, which has less sample variability. Various distributional quantities of the exGPD are derived analytically. As an application we also propose a new plot based on the exGPD as an alternative to the Hill plot to identify the tail index of heavy tailed datasets, and carry out simulation studies to compare the two.     

Simpson's Paradox in Survival Models

Abstract.  In the context of survival analysis it is possible that increasing the value of a covariate X has a beneficial effect on a failure time, but this effect is reversed when conditioning on any possible value of another covariate Y . When studying causal effects and influence of covariates on a failure time, this state of affairs appears paradoxical and raises questions about the real effect of X . Situations of this kind may be seen as a version of Simpson's paradox. In this paper, we study this phenomenon in terms of the linear transformation model. The introduction of a time variable makes the paradox more interesting and intricate: it may hold conditionally on a certain survival time, i.e. on an event of the type { T > t } for some but not all t , and it may hold only for some range of survival times.