Cluster Analysis for mixed data: An application to credit risk evaluation

Credit risk is one of the main risks faced by a bank to provide financial products and services to clients. To evaluate the financial performance of clients, several scoring methodologies have been proposed, which are based mostly on quantitative indicators. This paper highlights the relevance of both quantitative and qualitative features of applicants and proposes a new methodology based on mixed data clustering techniques. Indeed, cluster analysis may prove particularly useful in the estimation of credit risk. Traditionally, clustering concentrates only on quantitative or qualitative data at a time; however, since credit applicants are characterized by mixed personal features, a cluster analysis specific for mixed data can lead to discover particularly informative patterns, estimating the risk associated with credit granting.     

Farm size and productivity growth in the United States Corn Belt

In recent decades, agricultural production in the U.S. has continued to shift to large-scale operations, raising concerns about the economic viability of small and midsized farms. To understand whether economies of size provided an incentive for the consolidation of production, the study estimates the total factor productivity (TFP) of five size classes of grain-producing farms in the U.S. Heartland (Corn Belt) region. Using quinquennial Agricultural Census data from 1982 to 2012 the study also compares TFP growth rates across farm sizes to gain insight into whether observed productivity differences are likely to persist. The finding of a strong positive relationship between farm size and TFP suggests that consolidation of production has contributed to recent aggregate productivity growth in the crop sector. The study estimates the extent to which sectoral productivity growth can be attributed to structural change versus other factors including technological change. The study also explores some tradeoffs associated with policies that raise the productivity of small versus large farms.     

浙江省民营企业集群式营销探讨

民营企业集群已成为浙江省区域经济快速发展的主流模式之一。与大型企业、跨国公司一起,已成为参与市场竞争的主角。因此,市场营销理论应用领域已从单个企业营销逐步延伸到民营企业集群式营销。民营企业集群式营销是民营企业集群成长的关键,浙江省民营企业集群的快速发展与其营销管理创新是分不开的。为了提高浙江省民营企业集群营销管理水平,本文着重探讨了浙江省民营企业集群营销战略、策略制定及组织实施问题。     

Learning-by-doing and input demand of a rate-of-return regulated firm

The significance of learning by doing to input demand of a cost-minimizing rate-of-return-regulated firm is examined. Using a panel data, the results indicate that the firm's cost and input demand decisions are both influenced by learning-by-doing. The firm's cost and the rate-base (capital) input requirements decline as learning-by-doing measured by cumulative production expands. However, LBD may have different effects on the non-rate-base inputs (labor and fuel) considered in this study. While LBD ambiguously reduces fuel usage, it moderately increases labor employment. In addition to changing input intensity, LBD also influences returns to scale and elasticity of substitution.     

Predicting the geo-temporal variations of crime and disorder

Traditional police boundaries—precincts, patrol districts, etc.—often fail to reflect the true distribution of criminal activity and thus do little to assist in the optimal allocation of police resources. This paper introduces methods for crime incident forecasting by focusing upon geographical areas of concern that transcend traditional policing boundaries. The computerised procedure utilises a geographical crime incidence-scanning algorithm to identify clusters with relatively high levels of crime (hot spots). These clusters provide sufficient data for training artificial neural networks (ANNs) capable of modelling trends within them. The approach to ANN specification and estimation is enhanced by application of a novel and noteworthy approach, the Gamma test (GT).     

我国家电业上市公司竞争力的因子分析

对公司的竞争力做评价时要借用大量的财务指标,然而这些财务指标在给予我们大量信息的同时也增加了分析问题的复杂性。考虑到各个财务指标之间存在着较大的相关关系,我们可以考虑使用因子分析方法,用几个不相关的综合指标来代替所有的财务指标。本文采用因子分析对我国家电上市公司做了全面的竞争力评价分析。     

关于规模经济的实证分析--以我国汽车工业为例

汽车工业不仅是产业关联度高、资金和技术密集度高的现代产业部门，而且也是规模效益明显的现代产业部门。它作为影响力大、带动力强的产业，对中国经济正产生着越来越大的影响。本文以经济学的规模经济概念为基础，运用有关规模经济的理论和观点，以我国汽车工业为典型，从四个方面对汽车工业规模经济问题进行了分析，并对实现规模经济性的方法和途径进行论述。     

Implications of variant efficiency measures for policy evaluations in UK higher education

Policy goals in UK higher education encourage the publicly funded universities to become more-specialised and larger in size without compromising output quality. Efficiency gains are expected to flow from this increased specialisation in accordance with universities’ comparative research and teaching strengths. Mergers to reap further gains from economies of scale are also being actively encouraged. Given this scenario, the paper investigates whether best-practice efficiency measurement based on data envelopment analysis (DEA) provides empirical support for the current policy goals. It also assesses whether such support is dependent on the specific type of efficiency measure used in the DEA modelling. This assessment finds that a selection of (nine) commonly used, variant efficiency measures generally support the current policy goals. The paper also uses the principal-agent framework to explore the issues involved in using computed DEA-based efficiency scores for policy evaluations and possible funding guidance in UK higher education. This highlights empirically how policy-makers and universities can have very different preferences about which efficiency measure is to be used for policy evaluations and possible funding guidance.     

SERVCON: development and validation of a multidimensional service convenience scale

As customers have demanded greater convenience in service exchanges, researchers have responded by incorporating the convenience construct into their conceptual models and empirical studies, but a comprehensive, formally validated measure of convenience remains lacking. This study conceptualizes service convenience as a second-order, five-dimensional construct that reflects consumers’ perceived time and effort in purchasing or using a service. Service convenience dimensions are salient at different stages of the purchase decision process. Given this conceptualization, the study presents the development and validation of the SERVCON scale, a comprehensive instrument for measuring service convenience. The five dimensions are independent within a nomological network that illustrates distinct antecedent and consequent effects, and the results reinforce the multidimensional representation, offering insight into the distinctive relationships between each service convenience dimension and its antecedents, such as competitive intensity, and consequences, such as repurchase behavior. The findings help researchers and managers understand a fully conceptualized convenience construct and facilitate the measurement of convenience in future empirical studies.     

税收流失的国际存在、表现形式及规模估测

税收流失是世界各国普遍存在的现象;税收流失有不同的表现形式;用税收流失规模估测的收支差异法可以测估出我国税收流失的规模.