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机构地区:[1]南京理工大学经济管理学院,江苏南京210094
出 处:《技术经济与管理研究》2018年第3期39-43,共5页Journal of Technical Economics & Management
摘 要:汽车产品价格影响因素分析和定价方法的研究,对于企业分析汽车市场和进行战略决策具有十分重要的意义。文章首先基于中国汽车市场的大数据,对影响中国汽车价格的因素及其特性进行了研究和分析,报告了目前国内汽车市场关于汽车定价杂乱无章的现状,然后通过采用灰色关联度分析的方法,展开对显著影响因素进行选择的调查,反映了汽车定价过程中缺乏有效模型的问题,进而构建了基于多因素灰色GM(1,N)模型的汽车产品定价模型,提出了汽车产品定价方法步骤,为国内汽车市场找到合适可行的模型以及定价策略。实证研究表明,该方法能够利用较少的数据得到有效的数学模型,与特征价格指数法相比,它具有较高拟合优度。最后对国内汽车市场汽车定价的管理提出了切实可行的政策建议,以期实现规范化管理中国汽车市场汽车定价的目的。The analysis of the factors influencing the price of automobile products and the method of pricing are of great significance for the enterprises to analyze the automobile market and make strategic decision.Firstly,based on the large data of Chinese automobile market,this paper studies and analyzes the factors affecting Chinese automobile price and its characteristics,and reports the current situation of the chaos of automobile pricing in the domestic automobile market,and then uses the method of grey relational analysis to investigate the selection of significant factors.It reflects the problem of lack of effective model in automobile pricing process,and then constructs the automobile product pricing model based on the multifactor Grey GM(1,N) model,puts forward the steps of pricing method of automobile products,and obtains the feasible model for the domestic automobile market and the research results of the pricing strategy.The empirical research shows that this method can obtain the effective mathematic model with less data,and has higher fitting excellent degree than the characteristic price index method.Finally,the paper puts forward some feasible policy suggestions on the management of automobile pricing in the domestic automobile market,in order to realize the goal of standardized management of automobile pricing in China.
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