退耕还林背景下安塞县典型村庄产业结构调整类型分析

退耕还林工程的实施对退耕区农村产业结构调整方式产生影响。本文以农户收入结构为调查对象,以典型村庄为分析单位,采用主成分分析和聚类分析方法对安塞县典型村庄产业结构变化类型进行划分和分析。结果发现:根据样本农户的收入信息可将典型村庄产业结构变化类型划分为产业结构调整完善型、产业结构调整单一型和产业结构调整滞后型等3种类型;而非农业收入因子、特色农业收入因子和种植业收入因子是造成上述产业结构调整不同的主要影响因子,据此给出对策建议。     

中部地区汽车产业集群效率评价

本文利用主成分分析法确定汽车产业集群效率评价指标体系中各评价指标的权重,在此基础上构建汽车产业集群效率评价模型并对中部地区的汽车产业集群效率进行定量研究,然后对评价结果进行分析,最后,对提升中部地区汽车产业集群效率提出对策建议。     

企业内部控制评价指数构建——基于制造业上市公司实证研究

在研究内部控制评价思路的基础上,结合内控建设、内控评价报告,从管理层面、财务报告层面共同构建了内部控制评价体系。采用主成分分析法,选取沪深两市2007-2010年制造业上市公司评估企业内部控制状况,构建了内部控制评价指数。并对指数进行一系列Wilcoxon秩和检验,结果表明对照样本间存在显著差异,内部控制指数能有效判别公司质量。     

两岸直航对台湾港口带动分析

随着两岸交流的不断深入,带动了两岸经贸的发展。两岸海上直航的实现也给两岸港口带来了新的发展机遇。本文通过对台湾港口进行分析和运用PCA方法对两岸直航数据进行处理,得到两岸海上直航对台湾港口带来的变化。从而让读者更加直观的了解两岸直航的现实意义。     

基于主成分分析的陕西城镇化发展水平问题研究

本文运用陕西1978-2012年间的统计数据,在构建陕西城镇化水平综合评价指标体系的基础上,运用主成分分析法对陕西城镇化发展水平进行实证分析,并以此为基础分析陕西城镇化水平的发展趋势和特点,最后提出优化城镇化发展的几点建议,以期为陕西省城镇化建设提供理论参考和实证借鉴。     

A PCA–DEA approach to measure the quality of life in Estonian counties

This paper investigates the application of a PCA–DEA model to assess the quality of life (QOL) scores in Estonian counties and analyses the model's results. The dataset is a balanced panel of 15 Estonian counties covering the period from 2000 to 2011. We consider a PCA–DEA model as an alternative method to estimate and predict QOL scores and rankings of Estonian counties. The method consists of a two-stage analysis that begins with a principal component analysis. In the second stage, the standard DEA is used. The results from the conventional DEA model and the PCA–DEA model are compared and discussed. A comparison of the methodologies demonstrates that a PCA–DEA model provides a powerful tool for performance ranking. The rankings of Estonian counties using QOL scores for different model specifications are presented. Finally, the QOL ranking of Estonian counties is revised using PCA–DEA.     

基于改进的PCA方法的车牌汉字识别

针对低分辨率的车牌汉字的识别问题,提出了一种改进的PCA的汉字识别方法。通过实验表明,该方法识别率高,实时性好,具有一定的应用前景。     

我国交叉上市公司经营绩效研究

公司的经营绩效是投资者关注的焦点之一。以我国交叉上市公司为视角，通过建立一个多变量的绩效评价体系，运用主成分分析法考察我国公司交叉上市后经营绩效的变化。结果表明：在交叉上市后三年时间内，公司的经营绩效呈现下滑的趋势；交叉上市前的会计操纵和交叉上市后经营成本的增加与经营不善是公司经营绩效下滑的可能原因。要正确看待交叉上市活动的利弊，加强对公司的监督约束机制。     

The Prediction of Stock Prices Based on PCA and BP Neural Networks

There are many factors to influence stock prices indeed. The research method combining models and examples is applied to study how the factors affect stock prices here. Firstly, the principal component analysis is used to deal with a set of variables as the input of a BP Neural Network. Therefore, not only is the number of variables less, but also most of the information of original variables is kept. Then, the BP Neural Network is established to analyze and predict stock prices. Finally, the analysis of Chinese stock market illustrates that the method predicting stock prices is satisfying and feasible.     

Identification of Factor Models for Forecasting Returns

A data-driven approach for forecasting returns of asset pricesis introduced. Special emphasis is given to data-driven specificationand to dimension reduction. Specification is performed by amodified AIC, BIC-based An-algorithm. Quasi-static principalcomponent analysis, quasi-static factor models with idiosyncraticerrors and reduced rank regression are considered. The forecastingresults obtained are compared.