农村公共产品供给现状、成因及对策分析

目前农村公共产品呈现供给总量不足、供给机制不合理的现状;其主要原因是城乡二元结构、农村公共产品供给机制不合理、政府权责配置不当及农村财政困难等,这严重制约了农村经济社会的发展;为此,必须采取打破城乡"二元结构"、统筹城乡发展,完善转移支付制度、加大财政投入,改革农村公共产品供给机制,实现农村公共产品供给资金渠道多元化等措施,改变农村公共产品供给现状。     

论中国反垄断法对行业协会的规制

基于行业协会行为限制竞争的可能性,各国反垄断法纷纷通过"补充标准"或"术语解释"的方式将其纳入规制范围,并采用了"实质高于形式"的规制原则.具体措施上,除了设定行业协会职能的法律界限,限制行业协会处罚权的行使之外,各国反垄断法还从实体与程序两个方面规定了行业协会的活动规则.中国<反垄断法>对行业协会的规制,一定程度上克服了<价格法>规制行业协会限制竞争行为的不足,但所确立的实体制度与程序制度仍相对简单,法律责任设置也存在缺漏或可操作性障碍.     

加入WTO后安徽省农民增收的不利因素及对策分析

根据安徽省农村固定观察点调查数据,分析了加入WTO后我省农民增收的不利因素,提出了加入WTO后应通过制定农业保护政策,加快推进农业和农村经济结构调整,完善农产品流通与市场体系,加强对农业科学的研究和成果推广;加快科研体制改革,增加科研经费,加强动植物良种繁育体系和检验监测体系的建设,强化动植物种植资源的保护;加强农民的教育和培训,提高农业人口的素质和受教育程度等措施。     

试论英语学科的素质教育

论述了英语学科素质教育的特点、内容及措施。重点剖析了英语学科素质教育的内容主要是让学生通过听、说、读、写、译等方面的语言实践活动去发展英语语言能力 ,培养良好的心理品质和思想道德品质。英语教学应强调使学生形成以交际能力为核心的英语语言运用素质。教师应注意调动学生的非智力因素 ,营造一个能进行交际实践的学习环境 ,并充分利用现有的教学手段 ,努力扩大学生的知识面 ,帮助他们建构自己的自主学习模式     

责任会计推广应用难的成因及解决对策

介绍了责任会计在我国会计领域的应用情况,指出在我国企业中没有得到普遍应用的具体原因。并明确提出了深化会计改革必须“建立以责任会计为主要形式的企业会计管理体系”的发展思路。结合我国现阶段经济发展的现状,提出了一些合理化的建议和措施。     

国有企业青年人才流失现象浅议

青年人才流失严重,已成为国企改革中的一个突出问题。对国企弊端及其低收入的失望,对国企僵化人事制度的压抑,对国企改革引发的个人利益阵痛的矛盾,对国企诸多不公平现象的抵触,心态的流失导致了行为上的流失。国企必须加强思想教育、注重培训,提高效益,以实现“感情留人”、“事业留人”、“待遇留人”的目的。一言以蔽之:留人要留心。     

我国商会预防和应对对华反倾销诉讼的策略及措施

近年来,在国外我国产品被控反倾销的次数不断增多,而相比之下,胜诉案件的比例却没有同等增长,这对我国的出口贸易秩序和出口贸易发展造成极为不利的影响.商会应利用其自身优势,确定应对对华反倾销诉讼的策略,并采取相应的具体措施,积极参与对华反倾销诉讼活动的各个环节,进而改变预防和应对对华反倾销的各种被动局面.     

Comparison of performance measures for multivariate discrete models

For multivariate probit models, Spiess and Tutz suggest three alternative performance measures, which are all based on the decomposition of the variation. The multivariate probit model can be seen as a special case of the discrete copula model. This paper proposes some new measures based on the value of the likelihood function and the prediction-realization table. In addition, it generalizes the measures from Spiess and Tutz for the discrete copula model. Results of a simulation study designed to compare the different measures in various situations are presented.     

Deciding with Thresholds: Importance Measures and Value of Information

Risk‐informed decision making is often accompanied by the specification of an acceptable level of risk. Such target level is compared against the value of a risk metric, usually computed through a probabilistic safety assessment model, to decide about the acceptability of a given design, the launch of a space mission, etc. Importance measures complement the decision process with information about the risk/safety significance of events. However, importance measures do not tell us whether the occurrence of an event can change the overarching decision. By linking value of information and importance measures for probabilistic risk assessment models, this work obtains a value‐of‐information‐based importance measure that brings together the risk metric, risk importance measures, and the risk threshold in one expression. The new importance measure does not impose additional computational burden because it can be calculated from our knowledge of the risk achievement and risk reduction worth, and complements the insights delivered by these importance measures. Several properties are discussed, including the joint decision worth of basic event groups. The application to the large loss of coolant accident sequence of the Advanced Test Reactor helps us in illustrating the risk analysis insights.     

Comparing mean ranks for repeated measures data

Rank tests are considered that compare t treatments in repeated measures designs. A statistic is given that contains as special cases several that have been proposed for this problem, including one that corresponds to the randomized block ANOVA statistic applied to the rank transformed data. Another statistic is proposed, having a null distribution holding under more general conditions, that is the rank transform of the Hotelling statistic for repeated measures. A statistic of this type is also given for data that are ordered categorical rather than fully rankedo Unlike the Friedman statistic, the statistics discussed in this article utilize a single ranking of the entire sample. Power calculations for an underlying normal distribution indicate that the rank transformed ANOVA test can be substantially more powerful than the Friedman test.