国有商业银行战略转型：理论框架与路径选择

国有商业银行面临的国内外经营环境和金融生态环境已发生深刻的变化,国有商业银行迫切需要重新审视自身的经营战略,进行再次定位,战略转型势在必行。国有商业银行应立足国内外经济金融形势,结合商业银行发展格局,明确差异化的市场定位和客户定位,重筑组织架构,进行结构调整,加速国际化进程,推进银行业务和盈利渠道的多元化,最终实现从本土的、单一的融资中介向国际化、全能型的国民财富管理银行转变。     

农村公路路面结构选型探讨

针对农村公路路面结构现状,基于沥青混凝土和水泥混凝土两类路面的特点,全面系统地分析了路面结构选型的影响因素,建立了农村公路路面选型的两级影响因素依据表,为农村公路路面选型提供参考。     

流通经济学的立论依据与研究定位的新视角——基于空间经济学角度

多年来,流通经济研究一直以马克思的再生产理论作为立论依据,由此形成了固有的研究视角和研究领域,即以整个社会再生产过程为研究范畴,将流通定位于连接生产和消费的中间环节.随着市场化程度不断深化,区域间贸易往来的频繁进行,流通的范畴、流通渠道和流通模式受到多方面的挑战.而在理论界,由于西方经济学的强大地位,流通经济学是否值得研究、是否需要研究、如何深入研究也成为困扰学界的一道难题.基于此,本文试图从流通经济发展的简单历史进程中找寻其存在的依据,并借鉴空间经济学的研究视角对流通研究进行重新审视,以求进一步推进对流通经济学的深入探索和研究.     

谈粮食筒库变电所的设计

根据粮食筒库的设备特点及供电要求,阐述了筒库变电所的选址、形式以及对建筑、防火、暖通专业的要求。     

宝桥道岔设计信息化需求分析、选型及方案

本文对宝桥道岔设计信息化需求分析、选型及方案进行了探讨。     

Promoting Employee Flexibility Through HR Practices

Current competitive environments have created a growing interest in employee flexibility in firms. Recently researchers have differentiated between two facets of employee flexibility: behavior flexibility and skill flexibility. This study proposes a model of relationships between these two facets of employee flexibility and the extent to which HR practices influence them. This model is tested by estimating structural equation models on a sample of 226 commercial departments in Spanish companies. The results of the study show that the two facets of employee flexibility are interrelated, in that skill flexibility influences behavior flexibility. Furthermore, findings confirm the influence of job enrichment on employee flexibility and the significant effect of the internal fit among HR practices on employee flexibility. © 2013 Wiley Periodicals, Inc.     

高校图书馆在研究性学习中的角色定位

在信息社会与知识经济时代,新的知识如原子爆炸般源源不断地产生,新知识的掌握和运用在日常生活中越来越重要,而掌握和运用新知识需要研究性学习的方式。高校图书馆面对研究性学习这种新的学习方式,必需实施新的战略部署和战略定位。研究和探讨高校图书馆在研究性学习中的定位问题,对研究性学习的展开有着重要的实际意义。     

Portfolio management with robustness in both prediction and decision: A mixture model based learning approach

We develop in this paper a novel portfolio selection framework with a feature of double robustness in both return distribution modeling and portfolio optimization. While predicting the future return distributions always represents the most compelling challenge in investment, any underlying distribution can be always well approximated by utilizing a mixture distribution, if we are able to ensure that the component list of a mixture distribution includes all possible distributions corresponding to the scenario analysis of potential market modes. Adopting a mixture distribution enables us to (1) reduce the problem of distribution prediction to a parameter estimation problem in which the mixture weights of a mixture distribution are estimated under a Bayesian learning scheme and the corresponding credible regions of the mixture weights are obtained as well and (2) harmonize information from different channels, such as historical data, market implied information and investors׳ subjective views. We further formulate a robust mean-CVaR portfolio selection problem to deal with the inherent uncertainty in predicting the future return distributions. By employing the duality theory, we show that the robust portfolio selection problem via learning with a mixture model can be reformulated as a linear program or a second-order cone program, which can be effectively solved in polynomial time. We present the results of simulation analyses and primary empirical tests to illustrate a significance of the proposed approach and demonstrate its pros and cons.     

Combining participatory crop trials and experimental auctions to estimate farmer preferences for improved common bean in Rwanda

Participatory crop improvement raises the prospects for developing seed varieties that meet the needs of subsistence farmers but may face challenges regarding preference elicitation, particularly in complicated policy environments. We integrate binding experimental auctions with participatory variety selection to elicit farmers’ preferences for improved common bean varieties in Rwanda. We find that auctions reveal farmer preferences more accurately than stated nonbinding rankings in this context and that participatory on-farm crop research is essential to understanding how farmers evaluate tradeoffs between multiple crop attributes. We also find that farmers highly value intercrop yield despite government policy that encourages farmers to monocrop.