澳大利亚布里斯班创意集聚区效应分析及其启示

澳大利亚布里斯班创意集聚区被国际创意产业界誉为创意集群的昆士兰模式。创意阶层吸引效应、创意溢出效应、网络协同效应和用户驱动创新效应是布里斯班创意集聚区的主要效应。中国创意集群应完善生活设施配套,建立集群协调组织,制定集群准入制度,重视展示设施建设,以充分发挥创意集群的效应。     

A faster estimation method for the probability of informed trading using hierarchical agglomerative clustering

The probability of informed trading (PIN) is a commonly used market microstructure measure for detecting the level of information asymmetry. Estimating PIN can be problematic due to corner solutions, local maxima and floating point exceptions (FPE). Yan and Zhang [J. Bank. Finance, 2012, 36, 454–467] show that whilst factorization can solve FPE, boundary solutions appear frequently in maximum likelihood estimation for PIN. A grid search initial value algorithm is suggested to overcome this problem. We present a faster method for reducing the likelihood of boundary solutions and local maxima based on hierarchical agglomerative clustering (HAC). We show that HAC can be used to determine an accurate and fast starting value approximation for PIN. This assists the maximum likelihood estimation process in both speed and accuracy.     

Mature consumers’ patronage motives and the importance of attributes regarding HMR based on the food-related lifestyles of the upper middle class

The objectives of this study are to explore the food-related lifestyle segments of the mature market, to identify its socio-demographic characteristics, and to investigate the differences in their attitudes toward Home Meal Replacement (HMR). A survey was conducted of adults 55 years of age and older living in Seoul, South Korea. Out of the 600 distributed questionnaires, 361 were retained for final analysis, which is a response rate of 60%. Cluster analysis identified five consumer segments. Significant differences were found among the five segments in terms of socio-demographic characteristics and attitudes toward HMR. This study shows operators of HMR the patronage motives and attributes that each segment values when considering HMR.     

Simple formulas for standard errors that cluster by both firm and time

When estimating finance panel regressions, it is common practice to adjust standard errors for correlation either across firms or across time. These procedures are valid only if the residuals are correlated either across time or across firms, but not across both. This paper shows that it is very easy to calculate standard errors that are robust to simultaneous correlation along two dimensions, such as firms and time. The covariance estimator is equal to the estimator that clusters by firm, plus the estimator that clusters by time, minus the usual heteroskedasticity-robust ordinary least squares (OLS) covariance matrix. Any statistical package with a clustering command can be used to easily calculate these standard errors.     

Older shopper types from store image factors

This study aims to characterise the older shopper by exploring unobserved heterogeneity within the segment and developing an older shopper typology from an empirically derived store image scale. Store attribute theory informed a two-stage research design. Firstly, a ‘pool’ of salient store attributes was identified through in-depth interviews. Scales were then developed and quantitatively tested using data collected through a household postal survey. Seven store image factors emerged, forming the basis of the typology. Five clusters were subsequently profiled using behavioural and demographic variables: Prudent neutrals, All-Round demanders, Reluctant casuals, Demanding sociables, and Affluent utilitarians. A discussion of the resultant classification's utility in terms of retail strategy, including opportunities for better targeting through adjustment of the retail offer, is presented. This study develops a store image scale that reflects the importance of store choice decisions of older shoppers, extending store image research by providing contemporary insights into the requirements of older shoppers in a changing retail environment.     

基于钻石模型的滨海新区制造业产业集群发展研究

天津滨海新区升格为国家级综合改革试验区的战略目标,是把以滨海新区为增长极的京津冀打造为环渤海乃至中国北方经济增长的发动机和最具国际竞争力的都市圈。本文借鉴迈克尔·波特的国家竞争优势钻石模型,构建一个地区制造业升级的竞争模型,并借助于这一模型对滨海新区制造业产业集群竞争力进行分析,从而就提升其产业集群竞争力进行了对策探析。     

长株潭城市群空间结构重组研究

对长株潭城市群空间结构现状及其存在的问题进行了分析,确定其未来发展的空间范围;对长株潭空间结构的层次划分进行了分析,提出一个由核心区、功能拓展区、地方中心和腹地组成的城市群空间层次,确定各个城市在城市群中的功能定位,从而构建长株潭"一核三心三圈,极轴联动"的有序空间结构。     

长三角地区居民消费结构及水平的统计分析

应用因子分析和聚类分析的方法，对2006年长三角16座城市居民的消费结构、消费水平进行分析和比较。结果表明，长三角16城市在居民可持续消费能力上存在差距，在居民消费结构和消费水平上可分为五类，其中上海、杭州的消费水平最高。文章还对如何提高居民消费水平，促进经济协调发展提出了对策。     

武汉光谷产业集群创业环境与创业绩效关系研究

基于GEM模型,通过对武汉光谷产业集群内创业者的访谈和问卷填写,调查了光谷创业环境的发展状况,发现武汉光谷的创业环境处于良好发展的阶段,同时建立了创业环境因素与创业绩效关系的统计模型,实证检验了创业环境对创业绩效的影响作用。最后实证研究对比了武汉、温州与杭州三地的产业集群环境,发现武汉光谷在各环境因素上的得分均优于其它集群。     

产业集群知识转移复杂系统反馈结构分析

产业集群内知识转移过程构成一个复杂的社会经济系统,在其转移过程中存在制约和促进系统发展的反馈结构。只有准确分析其系统结构才能有效把握系统行为,为管理对策的制定提供依据。利用系统动力学反馈动态复杂性分析理论与技术,建立了有效刻画产业集群内知识转移过程复杂系统的结构模型。利用基模分析技术分析了系统中的反馈关系,进行管理对策的生成研究,实现了以系统科学方法有效分析产业集群内知识转移过程的目的。