Segmenting Green Consumers in the United States: Implications for Green Marketing

The purpose of the current study was to segment U.S. consumers into four distinct clusters based on their beliefs and motives regarding pro-environmental consumer behavior. Using a nationally representative sample of U.S. adults from Experian Simmons (N = 22,348), this study revealed that: (a) there are four clusters of consumers in the United States with a unique set of beliefs and motives regarding consumer environmentalism; (b) the clusters have distinct demographic and media usage profiles; and (c) the groups have varying responses to the industry's initiatives to protect the environment. Implications of the research are discussed in light of developing message and media strategies for green marketing.     

Choice-Based Conjoint Analysis of the Local Coupon Preferences of Millennials

This article explores the local coupon preferences of the 18–29-year old market. Choice-based conjoint analysis was used to determine Millennials’ local coupon needs and preferences. From this data, three need-based segments were identified and discussed. The findings indicate that while overall, millennials are resistant to receiving coupons for local businesses through their cell phones, there is one segment that is receptive to this method of coupon delivery method.     

ALLOWING FOR JUMP MEASUREMENTS IN VOLATILITY: A HIGH‐FREQUENCY FINANCIAL DATA ANALYSIS OF INDIVIDUAL STOCKS

Following recent advances in the non‐parametric realized volatility approach, we separately measure the discontinuous jump part of the quadratic variation process for individual stocks and incorporate it into heterogeneous autoregressive volatility models. We analyse the distributional properties of the jump measures vis‐à‐vis the corresponding realized volatility ones, and compare them to those of aggregate US market index series. We also demonstrate important gains in the forecasting accuracy of high‐frequency volatility models.     

加强校企合作 完善实训基地建设——甘肃钢铁职业技术学院实训基地现状的调查与思考

本文通过对学院实训基地的调研,总结目前甘肃钢铁职业技术学院校企合作的现状、存在的问题,进而分析所应该采取的措施。     

企业成长性剖析及注意事项

成长性分析是企业财务状况非常重要的一个方面,然而,目前的成长性指标却常常让企业家产生困惑,比如有的成长性指标好,有的成长性指标差,那么到底企业的成长性如何?又如代表未来潜在成长性的指标显示不好,但几年后再看企业的成长性却没有当时所显示的差,这又是什么原因导致?是企业成长性指标分析失效还是有别的原因。本文通过对成长性指标进行深度剖析,得出企业成长性指标之间的逻辑关系以及未来潜在成长性指标所隐含的假设,以解释目前分析中存在的疑惑,并依此提出进行企业成长性分析时的注意事项。     

Food safety recall effects across meat products and regions

Food safety is one of the key issues for the international meat market. As a major meat exporter, few things facing the U.S. meat industry in recent years have garnered more attention than food safety events and policies. The impacts of Food Safety Inspection Services (FSIS) recalls on United States consumer meat demand are estimated using monthly grocery-scanner data identifying effects across products, geographic regions, and recall type. Results suggest beef E. coli recalls significantly reduce the demand for recalled ground beef contemporaneously among most, but not all, regions in the United States. Evidence of heterogeneity in demand impacts across regions and products is provided for the first time. Domestic and international implications for policy makers, industry leaders, and researchers are discussed.     

Liquidity,information, strategic trading in an electronic order book: New insights from the European carbon markets

The electronic limit order book (LOB hereafter) has rapidly become the primary way of trading European carbon assets over the 4 years of the EU ETS programme (2008–2012). In this first attempt of examining the informational content of an electronic order book, we evidence that order flow imbalances have a moderate capacity to predict short term price changes. However, we find that both LOB slope and immediacy costs help to forecast quote improvements and volatility in the next 30 min. Further, we explain why informed trading is highly influential and show that it consists in mixing order splitting strategies and posting fleeting orders once the asymmetric information is reduced (Rosu, 2009). Overall, the consolidated status of the order book mirrors a high level of market uncertainty and a low degree of informational efficiency. In this way, strategic trading can in itself explain some of order book properties, independently of the degree of traders’ sophistication and market competition.     

中国经济金融化与城镇化的空间计量分析——基于直接效应与间接效应分解

在理论分析经济金融化影响城镇化机制的基础上，运用我国省际面板数据建立空间计量模型，并采用直接效应和间接效应分解的方法来探寻经济金融化对本区域和邻近区域城镇化发展的影响效应及特征。研究发现，经济金融化对本区域城镇化的影响存在着倒"U"型的非线性转换特征。当经济金融化水平未达到倒"U"型曲线的顶点以前，对该区域城镇化的影响效应显著为正；而其跨越"U"型曲线的顶点后，对该区域城镇化发展的负面效应便开始显现。但值得注意的是，其对邻近区域城镇化影响的非线性特征并不显著，而是存在显著的、线性的负向关系，会制约邻近区域城镇化的发展。此外，工业化和农业人力资本两个控制变量对本区域和邻近区域的城镇化影响效应均显著为正。     

基于特征增量的新类识别方法研究

在分类应用的过程中,经常会出现新的类别,导致数据分布发生显著变化,使得原分类模型不再适用。如何识别新的类别使分类模型能适应其出现已经成为一个亟需解决的问题。本文提出基于特征增量的SVDD(支持向量数据描述)新类识别方法。该方法在SVDD算法的基础上,通过增加新特征,扩大特征空间维度从而提高模型对于新类的识别能力。在多个数据集上的实验结果表明,该方法能有效识别新类,使更新后的模型具有更高的准确度。     

基于主成分与聚类分析法的城市土地利用规划分区研究——以广州市为例

[目的]土地利用分区是土地利用总体规划的核心内容之一,是合理确定土地利用方向,优化土地利用结构与布局的重要途径。为了对广州市土地利用及未来发展方向提供理论指导,结合其土地利用现状和特点,选取土地利用结构、土地开发利用程度、社会经济状况和环境资源承载力4项一级指标及15项二级指标,建立土地利用综合分区指标体系。[方法]通过SPSS19.0软件,运用主成分分析法提取出前4个主成分,并将其作为新的样本数据,采用层次聚类分析法对广州市土地利用进行综合分区。[结果]根据聚类分区结果,将广州市分为4类土地利用区:中心发达区,包括荔湾区、海珠区、天河区和越秀区;综合发展区,包括白云区、番禺区、花都区、增城区和从化区;重点潜力区即南沙区;资源组合区是(新)黄埔区。根据各分区的差异性,提出各区域土地资源开发利用中存在的主要问题及未来发展方向。[结论]根据各区的自然经济条件及土地利用状况,将广州市分为4类土地利用区具有合理性,能为广州市今后土地利用规划的科学编制提供参考。