上市公司综合评价研究

客观合理地评价上市公司,是投资者、上市公司以及监管机构都非常关注的问题,也是规范发展证券市场的一个重要方面。基于平衡记分卡的原理,提出了我国上市公司的评价指标体系。财务层面的评价采用因子分析法;客户层面、内部层面、学习与创新层面以及综合评价,则是根据模糊三角数的概念构造判断矩阵,利用模糊三角数比较大小的原理进行排序。     

An affine‐invariant multivariate sign test for cluster correlated data

The author presents a multivariate location model for cluster correlated observations. He proposes an affine‐invariant multivariate sign statistic for testing the value of the location parameter. His statistic is an adaptation of that proposed by Randles (2000). The author shows, under very mild conditions, that his test statistic is asymptotically distributed as a chi‐squared random variable under the null hypothesis. In particular, the test can be used for skewed populations. In the context of a general multivariate normal model, the author obtains values of his test's Pitman asymptotic efficiency relative to another test based on the overall average. He shows that there is an improvement in the relative performance of the new test as soon as intra‐cluster correlation is present Even in the univariate case, the new test can be very competitive for Gaussian data. Furthermore, the statistic is easy to compute, even for large dimensional data. The author shows through simulations that his test performs well compared to the average‐based test. He illustrates its use with real data.     

A spatiotemporal auto-regressive moving average model for solar radiation

Summary.  To investigate the variability in energy output from a network of photovoltaic cells, solar radiation was recorded at 10 sites every 10 min in the Pentland Hills to the south of Edinburgh. We identify spatiotemporal auto-regressive moving average models as the most appropriate to address this problem. Although previously considered computationally prohibitive to work with, we show that by approximating using toroidal space and fitting by matching auto-correlations, calculations can be substantially reduced. We find that a first-order spatiotemporal auto-regressive (STAR(1)) process with a first-order neighbourhood structure and a Matern noise process provide an adequate fit to the data, and we demonstrate its use in simulating realizations of energy output.     

资源型城市转型主导产业的选择与培育

资源型城市转型主导产业的选择是资源型城市转型成功的关键与核心问题。本文运用定性与定量相结合的方法,提出了资源型城市转型主导产业的选择指标体系,并就如何对主导产业进行选择的方法进行了探讨。同时对资源型城市转型主导产业的培育提出了相应建议与措施。     

构建科学的教坛新秀评选体系

青年教师是高校教学科研的主力军,培养和造就一批高素质的青年教师队伍是推进高校素质教育的一项重要的战略任务,但他们中有许多人存在人文精神缺失及修养不足的问题,对高校的改革与发展产生了消极影响。为切实加强青年教师队伍建设,高校在广大青年教师中开展“教坛新秀”评选活动,以此激励广大青年教师的荣誉感和责任感,促进师德水平和教育教学质量水平的提高,意义深远。从评选理念出发,对教坛新秀的评选指标、评选条件、评选方法做了微观定位,以期为构建科学的教坛新秀评选体系提供参考。     

中国股票市场价格波动特征分析

在股票市场中最令人捉摸不定,也最具有吸引力的是波动不已的股票价格。文章对中国股票市场价格波动的分析是从1997年9月展开至2002年10月,其间恰逢中国股市经历了一段从牛市的繁荣到熊市的萧条的过程,两种泾渭分明的市场氛围恰好提供了一个深入研究股票市场价格波动特征的有利契机。遵循经济控制论研究的思路,文章采用了理论分析、市场交易数据的实证研究等技术手段对中国股票市场价格波动进行了研究,通过运用经济控制论的方法建立理论模型,以上海股市和深圳股市的综合指数为样本,对中国股票市场系统本身的波动特征和稳定性进行了量化分析。     

我国企业家队伍建设问题探讨

企业家的角色主要定位于企业的决策者、企业的创新者,企业风险的承担者。我国企业家队伍随着改革开放与市场经济发展起来,基本现状为:队伍不断发展壮大,成长环境不断改善提高;才能得到发挥,价值得到一定体现;但部分企业家自身素质依然低下。问题形成主要来自于三大机制因素:选拔任用机制不健全;监督约束机制不健全;激励机制不完善。解决问题的关键当然在于三大缺陷机制的健全完善,加强对企业家与世贸规则接轨的素质的全面培训。     

现代化的扩散与乡村政治文化的变迁——以改革开放以来安徽和县浏塘村为例

文章遵循从基本理论到实证调查再到一般性结论的研究路径,从实证的角度去描述安徽一个普通村庄因现代化的扩散而导致的乡村政治文化的变迁,从而试图说明现代化的扩散对乡村政治文化变迁的影响。     

Poverty and social trends in Russia

The article describes the socioeconomic situation of the Russian population and its dynamics in 1992. The analysis is based on series of regional sociological surveys led by the All-Russian Living Standards Research Center and on official Russian statistical data. The basic unit of analysis is the family, and hence family typology approbated both in research and in practical social work is introduced. Besides describing and discussing the growing poverty tendencies in contemporary Russia, the article also contains methodological recommendations for social policy bodies and social workers on the strategy of work in social maintenance and social support of the least secure population strata.     

Tree health mapping with multispectral remote sensing data at UC Davis, California

Tree health is a critical parameter for evaluating urban ecosystem health and sustainability. Traditionally, this parameter has been derived from field surveys. We used multispectral remote sensing data and GIS techniques to determine tree health at the University of California, Davis. The study area (363 ha) contained 8,962 trees of 215 species. Tree health conditions were mapped for each physiognomic type at two scales: pixel and whole tree. At the pixel scale, each tree pixel within the tree crown was classified as either healthy or unhealthy based on vegetation index values. At the whole tree scale, raster based statistical analysis was used to calculate tree health index which is the ratio of healthy pixels to entire tree pixels within the tree crown. The tree was classified as healthy if the index was greater than 70%. Accuracy was checked against a random sample of 1,186 trees. At the whole tree level, 86% of campus trees were classified as healthy with 88% mapping accuracy. At the pixel level, 86% of the campus tree cover was classified as healthy. This tree health evaluation approach allows managers to identify the location of unhealthy trees for further diagnosis and treatment. It can be used to track the spread of disease and monitor seasonal or annual changes in tree health. Also, it provides tree health information that is fundamental to modeling and analysis of the environmental, social, and economic services produced by urban forests.