安徽县域经济增长能力分析

利用因子分析法和系统聚类的方法对2009年安徽62个县(市)的经济增长能力进行实证分析,结果表明,安徽县域经济增长能力低下,并且存在严重的区域不平衡性,在此基础上,提出了扩大县乡两级政府权力,优化县域经济增长环境,加强县域基础设施建设等建议,以期为壮大安徽县域经济提供理论支持。     

基于跨国公司嵌入的开发区产业集聚模式研究

我国国家级开发区的经济是一种独特的集聚经济,即基于跨国公司嵌入的产业集聚经济。本文在对我国开发区的产业集聚进行了深入分析的基础上,提出了基于跨国公司嵌入的三种产业集聚模式。这三种产业集聚模式将块状经济与链状经济有机融合在一起,因而具有较强的竞争优势和强大的生命力,是在经济全球化条件下工业园区发展和我国新型工业化道路的有效路径之一。     

边疆少数民族地区可持续发展能力综合评价

区域可持续发展能力综合评价是当前可持续发展研究中的热点问题。本文采用多元统计分析中的因子分析模型,对边疆少数民族地区五省,即云南、广西、西藏、新疆、内蒙古的可持续发展水平及能力量化处理,基于其2006年的相关指标数据,分别得出五省可持续发展总体实力及其三个子系统（经济、社会、资源环境）的综合得分并据此排序,结合实证分析结果,对三个子系统可持续发展能力的主要构成因素及其相互关系进行了分析,并且针对可持续发展总体能力,在Q型聚类的基础上分析了各类型的特点。旨在为边疆少数民族地区可持续发展战略的实施效果和前景,作一相对准确且具参考价值的分析。     

基于综合价值分析的电子商务企业模糊聚类分析

在电子商务行业,因买卖双方目的不同,对商家的要求是不同的,为提高交易成功率,应对商家进行动态分类,以满足不同的需要。为此,本文从综合价值角度出发,构建电子商务企业综合评价指标体系,包含26个属性指标,引入模糊聚类分析,建立电子商务企业动态分类机制,通过实例分析,验证该方法的有效性合理性。     

对产业集群的反思

产业集群研究的一个重点就是探索集群存在的原因,西方学者倾向性地认为产业集群是竞争优势的重要来源。文章通过文献资料法和对比批判论证法对国外案例进行批判性分析来重新探讨西方主流观点的合理性。研究结果表明,功能性聚集和物理性聚集有着本质区别。以此为立足点来说明是否采用集群发展这个模式应该结合当地的具体实际情况来进行具体分析,切莫盲目模仿。     

国有商业银行信贷评级模型的构建及实证检验

信贷评级是信贷风险管理的前提,目前我国国有商业银行都采用这一方式管理信贷风险.本文在对国有商业银行当前信用评级方法存在问题和国内外相关研究成果进行分析的基础上,提出了构建国有商业银行内部信用评级模型,提高信贷风险管理水平的建议.作者利用贷款历史数据,通过因子分析和聚类分析等方法构建内部信用评级模型;通过因子分析方法构建的模型使评级指标体系更加科学、合理,避免了反映风险信息的冗余与遗漏;聚类分析使评级模型直接与违约概率挂钩,度量风险的准确性进一步提高.论文最后对模型进行了实证分析,使其有效性得到了检验.     

Improving candy industry competitiveness: Retailers’ perception regarding customer satisfaction

This study aims to classify service quality elements in candy industry in order to determine their instrumentality to customer satisfaction. To address this purpose, a Fuzzy Kano questionnaire was distributed to 512 major retailers of candy products of four predominant candy companies in Iran. Subsequently, we calculated satisfaction increment index (SII) and dissatisfaction decrement index (DDI) for each of the quality elements. Brand name and quality are considered as must-be elements, while availability of credit purchases is considered as indifferent element by the majority of retailers. Eight out of 24 studied elements are found to be considered as attractive elements by majority of customers. Regular visits element ranks first in terms of satisfaction increment index (SII). This paper provides helpful insight for marketers to prioritize improvement of different quality elements. Therefore, this paper helps organizations to perceive their customers needs more thoroughly and improve their customer satisfaction policy.     

下一代互联网:OpenFlow-Kmeans流表聚类算法

互联网的发展,对传输质量要求越来愈高,本文针对OpenFlow流表转发,提出并实现OpenFlow-Kmeans流表聚类转发算法,该算法提升准确率27.64%,实验表明,该算法能够满足复杂环境下,对流表的分类转发需求。     

Trade-size clustering and price efficiency

Using a sample of 26 markets, this paper investigates if trade-size clustering affects price efficiency. Our results suggest that more clustering trades are associated with greater resemblance of a random walk, less pricing errors, and shorter price delays. Moreover, we examine three underlying mechanisms to explain how clustering improves efficiency. First, we show that clustering trades are informative, consistent with the idea that stealth traders leverage such tactics to convey private information to prices. Second, we discover that clustering trades are positively related to investor attention (stock liquidity), implying that informed clustering trades happen at the presence of enormous uninformed investors. High attention and liquid markets help reduce the trading friction, thereby prompting quick price adjustments to private information released by the stealth trading.     

Key Sectors,Industrial Clustering and Multivariate Outliers

In this paper a reflection is made on the problems that can arise in key sector analysis and industrial clustering, due to the usual presence of outliers when using multidimensional data related to the sectors in an input–output table. Multidimensional outliers are considered as being not only linked to the low number of clusters usually observed in this kind of study, but probably causing invalid results in most of the works involving multivariate statistical techniques, such as cluster and factor analysis. Actually, by comparing the key sectors of the Spanish economy obtained in Díaz et al. (2006) Díaz, B., Moniche, L. and Morillas, A. 2006. A fuzzy clustering approach to the key sectors of the Spanish economy. Economic Systems Research, 18: 299–318. [Taylor & Francis Online] [Google Scholar] to the ones we get taking into account the problem the outliers pose, one can realize they greatly distort the results. On the other hand, it is shown that identification of outliers can be considered as a good and new procedure to help select the most important sectors in an economy.