文化视野下的《聊斋志异》科第观

从文化的角度,即从个体科场失意的心理与士子普遍的科举心态的层面上,从选贤用能与个体的怀才不遇层面上,从儒家传统文化的传承与八股取士的层面上,从公平竞争的科举选拔制度与试官腐败的层面上,辩证、历史与客观地审视蒲松龄的作品《聊斋志异》所表现出的科第观,重新解读《聊斋志异》的科第观所带给我们的启示。     

高管集权、内部控制与会计信息质量

公司内部治理的核心之一是选择一个恰当的权力配置结构,以有利于增进公司各种制度和政策的执行效率.本文研究公司高管的权力配置结构对公司内部控制与会计信息质量之间关系的影响.采用盈余管理和财务重述衡量会计信息质量,本研究发现:(1)公司的内部控制质量与会计信息质量正相关;(2)公司内部控制对会计信息质量的提升作用受制于公司内部高管的权力配置结构.在高管权力集中的情况下,内部控制的改善对会计信息质量并没有明显的提升作用.本研究对公司内部控制制度的后续建设和实施乃至公司治理结构的改进均具有一定的启示意义.     

我国能源消费需求影响因素及其影响机理分析

从文献回顾中提炼出对能源需求有重大影响的宏观经济因素;基于中国1985~2005年的统计数据,利用通径分析法测算了各相关宏观经济因素与能源消费需求的直接、间接关系及总影响程度,结果表明经济增长、全国总人口、能源消耗结构是决定能源消费需求的主要因素;利用偏最小二乘法消除多重共线性,并基于各主要影响因素的信息对能源需求进行预测;最后通过实际检验说明了所提方法的有效性和实用性。     

Vietnam’s economy: Achievements and perspective

In last several years, Vietnams economy has reached significant achievements. Those are clearly seen by analyzing economic growth, economic structure transformation, trade and investment and Vietnams economy competitiveness. However, in the process of development, Vietnams economy is still facing many difficulties and challenges. Vietnam is accelerating speed of innovation process, is active and quicker in international economic integration in order to complete the economic – social objectives in the period of 2001–2005 with annual average economic growth rate of 7.5%.     

FDI与出口贸易品技术含量关系的实证分析

以FDI与我国出口贸易品技术含量的关系作为切入点,选择通信设备、计算机制造业、医药制造业作为高新技术产业的代表,通用设备制造业、专用设备制造业作为传统制造业的代表。根据这4个行业1997—2011年利用外资与出口贸易品技术含量的数据,基于面板数据模型对高新技术产业和传统制造业FDI与出口贸易品技术含量之间的长期均衡关系及相关性进行实证分析。结果表明:高新技术产业利用外资与出口贸易品技术含量存在着长期均衡稳定关系,出口贸易品技术含量随着高新技术产业利用外资的增加而提高,并有明显的促进作用,而传统制造业利用外资对出口贸易品技术含量的影响有限。     

基于人体膳食均衡视角下的我国果蔬消费趋势预测与结构优化

水果和蔬菜是为人体提供矿物质、维生素、膳食纤维等营养元素的重要农产品,我国居民饮食中普遍存在着能量相对过剩、果蔬摄入量不足的问题。以人体膳食均衡为研究视角,研究我国果蔬消费趋势和结构优化问题,结果表明：按照当前的消费趋势发展,我国居民营养摄入不足与过剩同在的问题依然无法得到解决;我国政府在制定水果和蔬菜战略布局的决策中,应综合考虑人体的膳食营养均衡和未来市场营养需求,以实现我国果蔬产业布局优化;消费者在进行水果和蔬菜消费购买行为时,应在营养膳食均衡的基础上进行合理消费。     

从欧盟"被遗忘权"看网络治理规则的选择

1995年以来,欧盟不断加强对个人数据的保护力度,被遗忘权由此成为欧盟个人数据保护立法上的一个重要概念,历经三个阶段,日趋受到合理限制.在国际上,各国在被遗忘权问题上,存在一般被遗忘权和特殊被遗忘权的立法分野,前者以欧盟最为典型,后者包括美国等国家.鉴于被遗忘权在实践层面并不能产生实质性效果,反倒给互联网产业创新发展带来负担,且既有规范体系已经足够为个人数据和隐私提供充分保护,因此我国未来在制定相关立法时,没必要引入甚至扩大被遗忘权,反而应当从数据最小化、 通过设计保护隐私等层面做出努力,并且应当积极参与国际网络治理规则的制定.     

社会符号学视角下法律翻译对等研究

法律翻译是法律运行机制下的语言转换,面临法律与语言体系的双重制约。对等则是法律翻译的重中之重,这就意味着翻译的主要任务是解决源语与目标语之间的意义分歧。法律是一种符号,而构成该符号的法律语言发挥着特定的功能。这个特定功能是指通过探寻法律符号意义的过程,理解法律对社会产生的影响和效果。基于符号学语义三角提出的翻译语义三角可以为法律翻译中的精确对等提供理论基础。然而现实中法律翻译往往受到话语环境和话语使用群体的制约,通过具体的实证研究,可以得出两个结论：在同一法律体系内,可以通过翻译语义三角实现法律翻译精确对等;借助从社会符号学视角出发的语义参考方案、法定意义与社会意义的区分、语言元功能等策略,可以理解法律翻译的复杂性。     

Four criteria to evaluate providers' service-delivery response to new contraceptive introduction

This article presents an evaluation framework developed to assess the first-level effects of introducing the Standard Days Method (SDM) in Peru Ministry of Health clinics. Four questions are asked: 1) To what extent do providers routinely achieve SDM service delivery standards? 2) Is the time invested in SDM delivery consistent with program norms? 3) How does SDM delivery compare with delivery of established methods? and 4) How does SDM introduction affect delivery of established methods? A study at 62 clinics demonstrated the framework's usefulness. The Standard Days Method introduction had positive overall effects on the quality of care but provider training needed adjustments.     

Designing and integrating composite networks for monitoring multivariate gaussian pollution fields

Networks of ambient monitoring stations are used to monitor environmental pollution fields such as those for acid rain and air pollution. Such stations provide regular measurements of pollutant concentrations. The networks are established for a variety of purposes at various times so often several stations measuring different subsets of pollutant concentrations can be found in compact geographical regions. The problem of statistically combining these disparate information sources into a single 'network' then arises. Capitalizing on the efficiencies so achieved can then lead to the secondary problem of extending this network. The subject of this paper is a set of 31 air pollution monitoring stations in southern Ontario. Each of these regularly measures a particular subset of ionic sulphate, sulphite, nitrite and ozone. However, this subset varies from station to station. For example only two stations measure all four. Some measure just one. We describe a Bayesian framework for integrating the measurements of these stations to yield a spatial predictive distribution for unmonitored sites and unmeasured concentrations at existing stations. Furthermore we show how this network can be extended by using an entropy maximization criterion. The methods assume that the multivariate response field being measured has a joint Gaussian distribution conditional on its mean and covariance function. A conjugate prior is used for these parameters, some of its hyperparameters being fitted empirically.