基于多主體的網(wǎng)上市場價格離散仿真研究
發(fā)布時間:2018-04-25 14:26
本文選題:網(wǎng)上市場 + 價格離散。 參考:《湖南大學》2016年碩士論文
【摘要】:價格離散是同一市場上不同賣家、同質(zhì)商品的價格分布,是市場信息流動狀況、交易成本及企業(yè)定價策略的綜合體現(xiàn),也是市場效率的風向標;诰W(wǎng)絡信息傳遞特征的把握,人們認為電子商務市場較傳統(tǒng)線下交易市場具有更高的效率和更低的市場摩擦,能夠有效地降低消費者的信息搜索與交易成本,使得市場價格離散趨于收斂。然而伴隨著電子商務的發(fā)展,國內(nèi)外的實證研究表明,網(wǎng)上市場的價格離散并沒有因為消費者信息搜索成本降低而減弱,這與理論界的預期相悖。首先,本文總結(jié)了傳統(tǒng)市場基于信息搜尋理論的理論研究成果以及網(wǎng)上市場價格離散實證分析結(jié)論,反思了傳統(tǒng)的基于搜尋理論的靜態(tài)均衡價格離散解釋的局限性。然后,本文對網(wǎng)上市場價格離散機制進行了理論分析,基于演化博弈的動態(tài)機制和學習規(guī)則,構建了零售商競爭博弈模型、消費者零售商博弈模型和隨機個體學習模型。最后運用仿真平臺對模型進行仿真,輸出市場主體策略調(diào)整及市場價格離散的演化趨勢,并分析市場特征、零售商策略和消費者行為對市場價格離散的影響。仿真結(jié)果表明:網(wǎng)上市場價格趨于離散,并最終在某一離散水平達到穩(wěn)定均衡。零售商策略的差異化是市場價格離散的根本原因。市場上零售商數(shù)量越多,市場平均價格水平越低,但均衡價格離散度越高。消費者的數(shù)量對市場價格離散沒有顯著影響。零售商服務和品牌存在差異時,消費者搜尋效率越高,市場價格離散度反而越大。零售商數(shù)量對消費者搜尋效率與市場價格均衡的關系具有負向調(diào)節(jié)效應。
[Abstract]:Price dispersion is the price distribution of different sellers and homogeneous commodities in the same market. It is the comprehensive embodiment of market information flow, transaction cost and enterprise pricing strategy, and it is also the wind vane of market efficiency. Based on the characteristics of network information transmission, it is considered that the electronic commerce market has higher efficiency and lower market friction than the traditional offline trading market, which can effectively reduce the information search and transaction costs of consumers. The market price dispersion tends to converge. However, with the development of electronic commerce, empirical studies at home and abroad show that the price dispersion of online market is not weakened by the lower cost of consumer information search, which is contrary to the expectation of the theoretical circle. Firstly, this paper summarizes the theoretical research results of traditional market based on information search theory and empirical analysis of price discretization in online market, and reflects on the limitations of traditional static equilibrium price discretization interpretation based on search theory. Based on the dynamic mechanism and learning rules of evolutionary game, this paper constructs retailer competition game model, consumer retailer game model and stochastic individual learning model. Finally, the simulation platform is used to simulate the model, to output the evolution trend of market agent strategy adjustment and market price dispersion, and to analyze the influence of market characteristics, retailer strategy and consumer behavior on market price dispersion. The simulation results show that the price of the online market tends to be discrete and finally reaches a stable equilibrium at a certain discrete level. The difference of retailer strategy is the fundamental reason of market price dispersion. The more retailers in the market, the lower the market average price level, but the higher the equilibrium price dispersion. The number of consumers has no significant effect on market price dispersion. When there are differences between retailers' services and brands, the higher the search efficiency is, the greater the market price dispersion is. The number of retailers has a negative adjustment effect on the relationship between consumer search efficiency and market price equilibrium.
【學位授予單位】:湖南大學
【學位級別】:碩士
【學位授予年份】:2016
【分類號】:F724.6;F726
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