中国地方NGO生成机制的制度分析

地方NGO作为一种具体制度安排,其生成机制主要是在外在制度环境的作用下,以潜在利益为基本诱因,外在制度需求与内在制度供给相互契合推进,从而激励地方公民合作创设NGO制度安排的复杂过程。这是中国地方NGO生成的简要逻辑。从制度需求与制度供给的视角分析,在中国地方NGO的生成机制中,国家与市场对NGO制度安排的供给、市民集体行动的理性选择、地方制度转型的适应性安排、地方政府之间的制度竞争、地方知识精英的主导性介入与网络等科学技术进步的推动是六个关键性因素。特别是国家与市场的博弈过程与中国地方NGO的发展壮大过程相伴相生。分析中国地方NGO的生成机制,可以窥见中国公民社会的生长与发展轨迹。     

启动农村消费的障碍及消除障碍的路径选择研究

消费是拉动内需,推动经济持续、健康发展的不懈动力,然而现阶段我国居民消费对GDP增长的促进作用较弱,尤其是农村消费,但由于受收入、物价、市场发达程度等因素的制约,农村消费长期以来一直被压制.采用定量、定性相结合的分析方法,通过构造数量模型分析影响消费的主要因素及影响程度,在此基础上重点对影响农村消费增长的原因进行分析,并提出相应的解决措施.     

论图书馆的信息推送服务

信息推送服务是一种个性化的主动信息服务,图书馆在服务过程中必须贯彻以人为本、主动服务、一站式服务、个性化服务理念;网络环境下,基于RSS的信息推送模式比较好的解决信息推送的技术手段,图书馆根据学校的特性选择信息,建立用户需求库、信息资源库,定制用户界面并协同数据库完成信息推送。因此,以用户为中心的信息推送技术必将成为未来信息获取技术的一个重要发展方向。     

Generally weighted moving average control charts with fast initial response features

The generally weighted moving average (GWMA) control chart is an extension model of exponentially weighted moving average (EWMA) control chart. Recently, some approaches have been proposed to modify EWMA charts with fast initial response (FIR) features. We introduce these approaches in GWMA-type charts. Via simulation, various control schemes are designed and then their average run lengths are computed and compared. Based on the overall performance, it is showed that the DGWMA chart is the best choice especially when the shift is moderate, and the GWMA charts provided with additional FIR feature have a good performance only in detecting large shifts during the initial stage.     

土地流转、资本兼并与扩大内需

立足于我国“三农”问题的根源性问题——土地问题,关注党的十七届三中全会提出的土地经营权流转问题,分析土地经营权流转的意义,主要在于土地、资本、劳动这三个基本生产要素的激活,盘活土地资源,引入非农资本,释放劳动力资源。同时,在土地流转过程中要警惕资本兼并问题;要循序渐进,谨慎推进土地流转。     

Missing item imputation for quality-of-life instruments with application to asthma quality-of-life questionnaires

There has been increasing use of quality-of-life (QoL) instruments in drug development. Missing item values often occur in QoL data. A common approach to solve this problem is to impute the missing values before scoring. Several imputation procedures, such as imputing with the most correlated item and imputing with a row/column model or an item response model, have been proposed. We examine these procedures using data from two clinical trials, in which the original asthma quality-of-life questionnaire (AQLQ) and the miniAQLQ were used. We propose two modifications to existing procedures: truncating the imputed values to eliminate outliers and using the proportional odds model as the item response model for imputation. We also propose a novel imputation method based on a semi-parametric beta regression so that the imputed value is always in the correct range and illustrate how this approach can easily be implemented in commonly used statistical software. To compare these approaches, we deleted 5% of item values in the data according to three different missingness mechanisms, imputed them using these approaches and compared the imputed values with the true values. Our comparison showed that the row/column-model-based imputation with truncation generally performed better, whereas our new approach had better performance under a number scenarios.     

A stratified unrelated question randomized response model using Neyman allocation

This paper applies stratified random sampling using Neyman allocation to Mangat et al. (1992 Mangat, N.S., Singh, R., Singh, S. (1992). An improved unrelated question randomized response strategy. Cal. Stat. Assoc. Bull. 42:277–281.[Crossref] , [Google Scholar]) unrelated question randomized response (RR) strategy for both completely truthful reporting and less than completely truthful reporting. It is shown that, for the prior information given, our new model is more efficient in terms of variance (in the case of completely truthful reporting) and mean square error (in terms of less than completely truthful reporting) than Kim and Elam's (2007 Kim, J.M., Elam, M.E. (2007). A stratified unrelated question randomized response model. Stat. Papers 48:215–233.[Crossref], [Web of Science ®] , [Google Scholar]) model. Numerical illustrations and graphs are also given in support of the present study.     

An optional randomized response model for estimating a rare sensitive attribute using Poisson distribution

The crux of this article is to estimate the mean of the number of persons possessing a rare sensitive attribute based on the Mangat (1991 Mangat, N.S. (1991). An optional randomized response sampling technique using non–stigmatized attribute. Statistica. 51(4):595–602. [Google Scholar]) randomization device by utilizing the Poisson distribution in simple random sampling and stratified sampling. Properties of the proposed randomized response (RR) model have been studied along with recommendations. It is also shown that the proposed model is more efficient than that of Land et al. (2011 Land, M., Singh, S., Sedory, S.A. (2011). Estimation of a rare attribute using Poisson distribution. Statistics. 46(3):351–360.[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]) in simple random sampling and that of Lee et al. (2013 Lee, G.S., Uhm, D., Kim, J.M. (2013). Estimation of a rare sensitive attribute in stratified sampling using Poisson distribution. Statistics. 47(3):575–589.[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]) in stratified random sampling when the proportion of persons possessing a rare unrelated attribute is known. Numerical illustrations are also given in support of the present study.     

Improved estimation methods for unrelated question randomized response techniques

The randomized response technique (RRT) is an important tool, commonly used to avoid biased answers in survey on sensitive issues by preserving the respondents’ privacy. In this paper, we introduce a data collection method for survey on sensitive issues combining both the unrelated-question RRT and the direct question design. The direct questioning method is utilized to obtain responses to a non sensitive question that is related to the innocuous question from the unrelated-question RRT. These responses serve as additional information that can be used to improve the estimation of the prevalence of the sensitive behavior. Furthermore, we propose two new methods for the estimation of the proportion of respondents possessing the sensitive attribute under a missing data setup. More specifically, we develop the weighted estimator and the weighted conditional likelihood estimator. The performances of our estimators are studied numerically and compared with that of an existing one. Both proposed estimators are more efficient than the Greenberg's estimator. We illustrate our methods using real data from a survey study on illegal use of cable TV service in Taiwan.