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Exploring the China apparel market: Analysis of consumers' evaluative criteria, perceptions, and apparel expenditures by demographic variables.

机译:探索中国服装市场:通过人口统计学变量分析消费者的评估标准,看法和服装支出。

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摘要

This research examines the effects of demographic variables in consumers' evaluative criteria, perceptions, and apparel expenditures in China. A partial model by Engel, Blackwell, and Miniard (EBM) was used as the framework to examine the effects of demographics on evaluative criteria used for men's shirt purchases. Additionally, the consumer demand theory was adapted for the analysis of apparel expenditures. Secondary data from a total of 200 questionnaires from male consumers (age 18-65) living in Shanghai, China, were used for the analyses.; Pearson Correlation Coefficients among the 14 evaluative criteria were analyzed. Factor analysis was then performed to categorize the related criteria. ANOVA or t-tests were performed to reveal any significant differences of evaluative criteria among the consumer groups. The mean value of perceived quality, perceived price, and willingness to buy under each consumer group was obtained from the SAS program. ANOVA or t-tests were performed to compare the consumer groups in terms of their perceptions.; The research found that the importance of consumers' evaluative criteria used and perceptions for men's shirt purchases differed only in income and age variables. The research also found that only income and age affect apparel expenditures. By using two regression models: (1) the double-logarithmic model, 38% of the variation in total apparel expenditures was explained; (2) the double-logarithmic model with a scaling variable, 79% of the variation was explained. Thus, this study suggests that the double-logarithmic model with a scaling variable is a better choice for Chinese apparel expenditures.
机译:这项研究考察了人口统计学变量对中国消费者评估标准,看法和服装支出的影响。恩格尔,布莱克韦尔和米纳德(EBM)的部分模型被用作检验人口统计学对男式衬衫购买评估标准的影响的框架。此外,将消费者需求理论用于分析服装支出。分析来自居住在中国上海的男性消费者(年龄在18-65岁之间)的总共200份问卷的二级数据。分析了14个评估标准中的Pearson相关系数。然后进行因子分析以对相关标准进行分类。进行方差分析或t检验以揭示消费者群体之间评估标准的任何重大差异。从SAS程序中获得每个消费者组的感知质量,感知价格和购买意愿的平均值。进行方差分析或t检验以比较消费者群体的看法。研究发现,消费者使用的评估标准和对男式衬衫购买的看法的重要性仅在收入和年龄变量上有所不同。研究还发现,只有收入和年龄会影响服装支出。通过使用两个回归模型:(1)双重对数模型,解释了服装总支出中38%的变化; (2)解释了具有比例变量的双对数模型,该模型的变化为79%。因此,这项研究表明,具有比例变量的双对数模型是中国服装支出的更好选择。

著录项

  • 作者

    Hsiao, Chin-Fen.;

  • 作者单位

    University of Missouri - Columbia.;

  • 授予单位 University of Missouri - Columbia.;
  • 学科 Business Administration Marketing.; Economics General.
  • 学位 Ph.D.
  • 年度 1996
  • 页码 145 p.
  • 总页数 145
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 贸易经济;经济学;
  • 关键词

  • 入库时间 2022-08-17 11:49:23

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