Applying an extended theory of planned behavior to examine state-branded food product purchase behavior: The moderating effect of gender

ABSTRACT

The purpose of this study was to use an extended model of the theory of planned behavior to investigate the antecedents which lead to consumers’ purchase of state-branded food products. Relationships among attitude, subjective norm, perceived behavioral control, health-consciousness, intention to purchase, and actual purchase were examined. In addition, the moderating role of gender on consumer purchasing was assessed. The hypothetical model was empirically tested using data collected via Amazon Mechanical Turk (Mturk). Results implicated that consumers’ attitude, subjective norm, and perceived behavioral control of purchasing state-branded products significantly predicted their intention to purchase, and consumers’ intention to purchase significantly predicted their actual purchase of state-branded products. The relationship between health-consciousness and intention to purchase, however, was not found. Gender differences were found only between consumers’ perceived behavioral control of state-branded purchasing and their intention to purchase. Implications for marketers, farmers, and restaurant owners are provided.     

Changes in volatility of credit spread and market efficiency during rapid growth of credit-related securities

This paper investigates the changes in credit spread volatility during 1993–2001. We find that the credit spreads between junk-grade corporate bonds and Treasury bonds were significantly more volatile in the second half of this period when credit-related securities became popular. In contrast, investment-grade bonds exhibited no significant change in volatility. The junk bonds variance ratios changed from being less than one to greater than one. Using the GJR-Garch model, the conditional volatilities of junk bonds increased in the second half of the period and the mean reversion speeds slowed, suggesting a longer time for mean reversion to occur. Our analysis rules out treasury volatility, credit spread level, equity market return, T-bill rate, curvature of the Treasury curve, financial crisis, quantity of defaults and standard deviation of defaults as explanations for the increase in junk bond volatility. In contrast, volatility of equity returns provides a partial explanation of junk bond spread volatility in the later period.     

中国房地产投资与经济增长的计量分析

近几年,中国房地产市场比较热,不断掀起投资的浪潮,中国的经济随之也较快地增长。但是金融危机席卷全球,对于2009年,中国的房地产投资与经济增长又如何呢？本文立足于现实情况,采集了15年的数据先对房地产投资和GDP进行组合预测,然后运用计量经济的相关知识对这十几年的数据进行定量分析,提出自己的见解,并展望未来。     

现代国际贸易理论对中国对外贸易发展的启示

萨缪尔森认为在全球化进程中,中国在美国原来具有比较优势的领域里的技术进步,会导致美国贸易条件的恶化和福利的下降。但从现实数据看,中国在劳动密集型产品的出口扩大恶化了中国的贸易条件。从长远看,中国基于廉价劳动力为基础的纵向对外贸易的比重将逐步下降,而基于规模经济为基础的横向贸易的地位将逐渐上升。     

基于企业真实项目的高职物流管理专业校内生产性实训基地运行实践与探索——以广州科技贸易职业学院为例

指出了现有校内生产性实训基地的不足,阐述了广州科技贸易职业学院物流管理专业校内生产性实训基地的建设模式,介绍了实训基地的运行情况,分析了实训基地的运行成效,给出了今后努力的方向,对物流管理专业校内生产性实训基地进行了有益的实践与探索。     

流动性视角下的非流通股定价策略分析

金融市场上的流动性对金融资产定价有重要作用。在Longstaff模型的基础上对“卖掉持有股票的权利”进行定价,可得出股票的流动性价格,进而得到非流通股的价格。通过分析可知非流通股的价格是禁售期的减函数,是流通股的增函数;股票的价格波动率越大,贷款利率与无风险利率的差越大,非流通股的价格是就越低;反之,非流通股的价格就越高。以我国股票市场的相关指数进行验证,上述结论依然成立。     

农民对宅基地权利认知及影响因素研究*——以河北省新乐市为例

［目的］通过对河北省新乐市农民在宅基地权力认知及影响因素方面的分析,探究我国农村宅基地制度并提出相关建议。［方法］文章受制度功能可信度理论启发,以河北省新乐市14个行政村为调研对象,探究农民对宅基地相关权利认知情况,同时采用Spearman相关性分析研究影响农民宅基地认知的因素。［结果］调研地自发宅基地流转市场已形成,宅基地制度功能处于社会保障功能向财产功能转变的过渡阶段; 农民对宅基地所有权认知不明晰,但并不影响宅基地市场建立; 在宅基地流转中,农民更关注相互之间信任、村委会保留的记录、流转中形成的“事实产权”; 农民性别、年龄、受教育水平和家庭人口数是影响权利认知的主要因素。［结论］依据制度功能可信度理论充分考虑宅基地制度在现阶段的功能变化,因地制宜; 政府应关注农民的宅基地使用权问题,使其真正成为农民的财产; 应对农村宅基地流转中形成的事实产权逐渐正式化; 应制定年轻人就业帮扶和年长者社会保障等相关政策,避免宅基地流转影响农村社会稳定性。     

对"剑桥资本争论"的思考——从马克思的古典一般均衡理论寻求出路

“剑桥资本争论”指出了新古典理论在资本计量、技术再转折和资本倒流等关键问题上所遇到的逻辑悖论。这是由于西方主流经济学将凯恩斯经济学嫁接在新古典的价值和分配理论之上，从而忽视了资本主义所特有的竞争关系。相反，马克思的古典经济学则强调了资本主义所特有的经济关系。因此，只有引入社会关系的古典一般均衡分析，才是解决争论的出路。     

黑色幽默小说语言特点的翻译策略初探

黑色幽默小说是后现代文学的一个重要分支。建立在代码模式和推理模式的基础上的关联理论,其本质是交际的,对于翻译研究有重要的借鉴意义。黑色幽默小说的翻译应根据其语言特点,运用"关联域"概念,保留原作的交际意图和信息意图。     

A robust VaR model under different time periods and weighting schemes

This paper analyses several volatility models by examining their ability to forecast Value-at-Risk (VaR) for two different time periods and two capitalization weighting schemes. Specifically, VaR is calculated for large and small capitalization stocks, based on Dow Jones (DJ) Euro Stoxx indices and is modeled for long and short trading positions by using non parametric, semi parametric and parametric methods. In order to choose one model among the various forecasting methods, a two-stage backtesting procedure is implemented. In the first stage the unconditional coverage test is used to examine the statistical accuracy of the models. In the second stage a loss function is applied to investigate whether the differences between the models, that calculated accurately the VaR, are statistically significant. Under this framework, the combination of a parametric model with the historical simulation produced robust results across the sample periods, market capitalization schemes, trading positions and confidence levels and therefore there is a risk measure that is reliable.