基于网络营销的云南小粒咖啡顾客满意度研究

根据服务质量衡量理论和流程质量量表理论,将网站服务质量分为7个维度,提出一个关于网站服务质量和顾客满意度的假设和研究模型。通过设计问卷调查,运用SPSS统计软件对样本进行研究分析来验证假设模型。研究结果表明：网站服务质量对小粒咖啡网络营销顾客满意度存在正向显著相关;网站服务质量各维度对小粒咖啡网络营销顾客满意度影响程度各不相同。     

Modeling Farm Households' Price Responses in the Presence of Transaction Costs and Heterogeneity in Labor Markets

We develop a farm household model to analyze price responses of farm households. This model incorporates various types of transaction costs as well as labor heterogeneity. Nonproportional variable transaction costs or labor heterogeneity imply that production and consumption decisions become nonseparable, even when the household buys or sells labor. An empirical model is estimated using data from Midwest Poland. The results show that nonproportional variable transaction costs and labor heterogeneity significantly influence household behavior. Not all price elasticities, however, change significantly if these are neglected.     

U.S. Farm Policy and the Volatility of Commodity Prices and Farm Revenues

A dynamic three-commodity rational-expectations storage model is used to compare the impact of the Federal Agricultural Improvement and Reform (FAIR) Act of 1996 with a free-market policy, and with pre-FAIR policies. Results suggest that FAIR did not lead to significant increases in long-run price volatility or revenue volatility. The main impact of pre-FAIR, relative to the free-market regime, was to substitute government storage for private storage in a way that did little to support prices or to stabilize farm incomes. Results also indicate that U.S. grain market volatility in 1995–2000 was due to fundamental market forces and not to FAIR.     

Bayesian Clustering of Farm Types Using the Mixtures Model

A Bayesian method of classifying observations that are assumed to come from a number of distinct subpopulations is outlined. The method is illustrated with simulated data and applied to the classification of farms according to their level and variability of income. The resultant classification shows a greater diversity of technical charactersitics within farm types than is conventionally the case. The range of mean farm income between groups in the new classification is wider than that of the conventional method and the variability of income within groups is narrower. Results show that the highest income group in 2000 included large specialist dairy farmers and pig and poultry producers, whilst in 2001 it included large and small specialist dairy farms and large mixed dairy and arable farms. In both years the lowest income group is dominated by non‐milk producing livestock farms.