公共政策价值的政治学分析

公共政策是政府为解决公共问题,对政府目标、手段的选择及其相互转换的过程,即利益调整的政治和技术过程。价值是主客体关系中表现出来的客体之于主体的意义和效用。就公共政策的价值而言,赋予公共政策利益优先的价值取向,在利益优先的前提下,选择、分配利益、综合和落实利益,最终达到平衡利益,解决公众问题。以利益为基础的公共政策价值分析无疑揭示了公共政策的本质,也为公共政策价值判断建立了一个客观参照系,为政府行为的良性循环引领方向。     

“福利田”的经济分析

由于农地经济功能的弱化和社会功能的强化,以保障基本生活为目的的福利田产生,与之相对的是以获取最大经济效益为目的的效率田。通过对福利田的经济分析,我们可以明确看到,福利田导致了农地的低效利用,制约了农业效益的提高,同时影响到农民工的非农化进程,阻碍了我国产业结构升级。     

高中阶段普通教育与职业教育协调发展的对策

随着我国生产力发展水平的提高,高中阶段的教育规模也在不断扩大,但只有合理的教育结构才能与劳动力市场需求相适应。为此,通过对高中阶段普通教育与职业教育的结构分析,在职业教育普通化和普通教育职业化的发展趋势下,提出新时期职业教育与普通教育在价值观念层面上要保持一致,适当发展一定比例的综合高中,构建职、普沟通的立交桥,从而促进职、酱教育的协调发展。     

留学生汉语比较句语料分析

通过对北京语言大学中介语语料库语料的考察,可以验证语言共性理论对第二语言教学提出的相关预测性指标。文章既分析了汉语学习者的正确语料,也分析了偏误语料,用正确的语料说明比较结构的共性,用偏误语料说明汉语比较句特征。     

女大学生心理亚健康状态的诊断与辅导

世界卫生组织的一项全球性调查结果显示,全世界真正健康者仅占人口总数的5％;有75％是“亚健康”者,年龄多在20-45岁。聚类分析结果表明,女大学生中心理正常的只有37．6％,而处于边缘状态的女生却超过了半数,表明50％以上的女大学生处于心理亚健康状态。心理学工作者只有通过心理测量来筛查、心理亚健康状态的表征、个别访谈等方法诊断出处于心理亚健康状态的女大学生,才能帮助女大学生及时觉察并正确认知心理亚健康状态．掌握有效的调适方法,摆脱亚心理健康．形成健康的心理。     

农村妇女参政权益及其法律保障

对“农村妇女权益调查”的统计分析发现,我国农村仍存在妇女参与村民自治的积极性不高、权利意识较淡薄且从众心理较强、农村群众普遍不认同女性的管理能力等问题。为发展农村基层民主。保障我国农村妇女参政权益,应在相关法律中增加女性候选人及女性代表的具体比例以及补选措施等相关规定,补充规定各级妇女联合会对妇女参政的监督机制,增补对妇女参政比例的保障监督机制。     

我国新型农村养老保险制度的SWOT分析

文章从新农保的“新”字入题,试图借鉴管理学SWOT研究分析方法,从我国当前新型农村养老保险制度发展所面临的发展机遇、环境挑战、自身优势以及存在的问题四个方面内容展开探讨,并在此基础之上,从优化制度运行环境与制度自身完善两个方面对如何推动“新农保”制度建设提出了对策和建议。     

Cumulative correspondence analysis of ordered categorical data from industrial experiments

Most studies of quality improvement deal with ordered categorical data from industrial experiments. Accounting for the ordering of such data plays an important role in effectively determining the optimal factor level of combination. This paper utilizes the correspondence analysis to develop a procedure to improve the ordered categorical response in a multifactor state system based on Taguchi's statistic. Users may find the proposed procedure in this paper to be attractive because we suggest a simple and also popular statistical tool for graphically identifying the really important factors and determining the levels to improve process quality. A case study for optimizing the polysilicon deposition process in a very large-scale integrated circuit is provided to demonstrate the effectiveness of the proposed procedure.     

Analysis of robust design experiments with time-dependent ordinal response characteristics: a quality improvement study from the horticulture industry

An approach to the analysis of time-dependent ordinal quality score data from robust design experiments is developed and applied to an experiment from commercial horticultural research, using concepts of product robustness and longevity that are familiar to analysts in engineering research. A two-stage analysis is used to develop models describing the effects of a number of experimental treatments on the rate of post-sales product quality decline. The first stage uses a polynomial function on a transformed scale to approximate the quality decline for an individual experimental unit using derived coefficients and the second stage uses a joint mean and dispersion model to investigate the effects of the experimental treatments on these derived coefficients. The approach, developed specifically for an application in horticulture, is exemplified with data from a trial testing ornamental plants that are subjected to a range of treatments during production and home-life. The results of the analysis show how a number of control and noise factors affect the rate of post-production quality decline. Although the model is used to analyse quality data from a trial on ornamental plants, the approach developed is expected to be more generally applicable to a wide range of other complex production systems.     

Bayesian partial likelihood approach for tied observations

The Bayesian analysis based on the partial likelihood for Cox's proportional hazards model is frequently used because of its simplicity. The Bayesian partial likelihood approach is often justified by showing that it approximates the full Bayesian posterior of the regression coefficients with a diffuse prior on the baseline hazard function. This, however, may not be appropriate when ties exist among uncensored observations. In that case, the full Bayesian and Bayesian partial likelihood posteriors can be much different. In this paper, we propose a new Bayesian partial likelihood approach for many tied observations and justify its use.