【摘要】：高度發(fā)達(dá)的互聯(lián)網(wǎng)絡(luò)創(chuàng)立了社會(huì)信息傳播的新途徑,也為房屋購(gòu)買(mǎi)行為研究提出新的問(wèn)題。在房地產(chǎn)市場(chǎng)中,購(gòu)房交易的頻率比金融市場(chǎng)低,房產(chǎn)交易有關(guān)數(shù)據(jù)的公開(kāi)信息不足,消費(fèi)者能從市場(chǎng)直接獲得的房屋價(jià)值的信息量很少。而專(zhuān)業(yè)信息的搜索成本比較高,互聯(lián)網(wǎng)絡(luò)和新聞報(bào)道等信息資源就成為了購(gòu)房者獲取信息和交流信息的一個(gè)主要途徑,特別是互聯(lián)網(wǎng)的信息傳播和信息獲取,對(duì)消費(fèi)者的購(gòu)房決策起著重要的作用。因此,研究網(wǎng)絡(luò)信息對(duì)購(gòu)房決策的影響模式是一個(gè)值得研究的新興主題,本文將信息網(wǎng)絡(luò)理論應(yīng)用于房地產(chǎn)購(gòu)房行為研究,重點(diǎn)分析網(wǎng)絡(luò)群體對(duì)個(gè)體購(gòu)房行為及房屋市場(chǎng)的影響機(jī)制。研究以網(wǎng)絡(luò)信息對(duì)房屋購(gòu)買(mǎi)決策的影響為主題,內(nèi)容主要由四部分構(gòu)成,第一部分為了研究購(gòu)房者群體網(wǎng)絡(luò)的影響機(jī)制,建立了購(gòu)房者個(gè)體影響網(wǎng)絡(luò)模型,根據(jù)房屋信息在影響網(wǎng)絡(luò)中的可見(jiàn)度進(jìn)行將信息分類(lèi)討論,通過(guò)購(gòu)房者信號(hào)傳遞與更新模型,分析信息網(wǎng)絡(luò)的作用模式。第二部分則從購(gòu)房者網(wǎng)絡(luò)群體的同質(zhì)性假設(shè)出發(fā),研究網(wǎng)絡(luò)群體中購(gòu)房者之間的相似性,在不同信息網(wǎng)絡(luò)環(huán)境下,討論購(gòu)房者決策效用及其影響因素,并基于購(gòu)房者效用的函數(shù)特征分析購(gòu)房者的風(fēng)險(xiǎn)偏好。第三部分是應(yīng)用購(gòu)房信息網(wǎng)絡(luò)理論,研究個(gè)體購(gòu)房決策及購(gòu)買(mǎi)行為的相互影響,揭示這種影響達(dá)到的網(wǎng)絡(luò)中群體的決策均衡。分別考慮具有不同透明度的房地產(chǎn)市場(chǎng),建立購(gòu)房者個(gè)體決策模型,基于決策模型分析購(gòu)房者購(gòu)買(mǎi)行為決策的臨界條件,進(jìn)而在此分析的基礎(chǔ)上,討論行為群體的網(wǎng)絡(luò)均衡狀態(tài)。第四部分結(jié)合購(gòu)房信息影響網(wǎng)絡(luò)理論和購(gòu)房者網(wǎng)絡(luò)決策模型研究,進(jìn)一步分析了購(gòu)房網(wǎng)絡(luò)群體對(duì)房屋市場(chǎng)的影響�；谫�(gòu)房者的購(gòu)買(mǎi)意愿價(jià)格,討論信息網(wǎng)絡(luò)影響下的購(gòu)房交易行為,分析信息網(wǎng)絡(luò)對(duì)房地產(chǎn)市場(chǎng)的供需均衡價(jià)格的影響,在建立購(gòu)房者出價(jià)模型的基礎(chǔ)上,重點(diǎn)分析購(gòu)房網(wǎng)絡(luò)群體對(duì)房屋出價(jià)的影響能力。本文以上述四部分的研究,系統(tǒng)地探討了購(gòu)房者的網(wǎng)絡(luò)群體、個(gè)體與房屋市場(chǎng)的相互影響,研究對(duì)于了解現(xiàn)實(shí)購(gòu)房消費(fèi)行為、科學(xué)制定引導(dǎo)房地產(chǎn)市場(chǎng)發(fā)展的相關(guān)政策,具有一定的理論和實(shí)際應(yīng)用意義。
[Abstract]:The highly developed Internet has created a new way to spread social information and raised new problems for the study of housing purchase behavior. In the real estate market, the frequency of purchase transactions is lower than that of the financial market, the information about the data of real estate transactions is insufficient, and the amount of information that consumers can get directly from the market is very little. The search cost of specialized information is relatively high. Information resources such as the Internet and news reports have become a major way for buyers to obtain and exchange information, especially the information dissemination and access to information on the Internet. It plays an important role in the decision of buying a house for consumers. Therefore, it is a new topic to study the influence mode of network information on house purchase decision. In this paper, the information network theory is applied to the study of real estate housing purchase behavior. This paper mainly analyzes the influence mechanism of network group on individual purchase behavior and housing market. The research focuses on the influence of network information on the decision-making of house purchase. The content is mainly composed of four parts. In the first part, in order to study the influence mechanism of the group network of house buyers, the model of individual influence network of buyers is established. According to the visibility of the house information in the influence network, the information is classified and discussed, and the function mode of the information network is analyzed through the signal transmission and update model of the house buyers. In the second part, based on the homogeneity hypothesis of the buyers' network group, the similarity between the buyers in the network group is studied. Under the different information network environment, the decision utility and the influencing factors of the buyers' decision are discussed. Based on the functional characteristics of the utility of buyers, the risk preference of buyers is analyzed. In the third part, we apply the theory of information network to study the mutual influence of individual purchase decision and purchase behavior, and reveal the equilibrium of group decision in this kind of influence network. Considering the different transparency of the real estate market, the paper establishes the individual decision-making model of the buyers, and analyzes the critical conditions of the purchasing behavior of the buyers based on the decision-making model, and then on the basis of the analysis, The network equilibrium state of behavior group is discussed. In the fourth part, based on the theory of home purchase information influence network and the study of home buyers' network decision model, the paper further analyzes the influence of the purchase network group on the housing market. Based on the price of buyers' willingness to purchase, this paper discusses the behavior of house purchase under the influence of information network, and analyzes the influence of information network on the equilibrium price of supply and demand in real estate market. Focus on the purchase of housing network groups to the impact of housing bids ability. Based on the above four parts of the research, this paper systematically discusses the network groups of buyers, the interaction between individuals and the housing market, the research on the understanding of real estate consumption behavior, scientific development of the real estate market to guide the development of relevant policies. It has certain theoretical and practical significance.
【學(xué)位授予單位】：華中科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類(lèi)號(hào)】：F299.23;F49

【參考文獻(xiàn)】

相關(guān)期刊論文 前2條

1 張曉光;張紅;;基于Hedonic模型的北京住房市場(chǎng)交易信息成本[J];清華大學(xué)學(xué)報(bào)(自然科學(xué)版);2009年03期

2 胡奕斐;購(gòu)房消費(fèi)行為模式分析[J];中國(guó)房地產(chǎn)金融;2001年04期

相關(guān)碩士學(xué)位論文 前6條

1 柳婷;違約風(fēng)險(xiǎn)下的商業(yè)房地產(chǎn)租賃的定價(jià)研究[D];華中科技大學(xué);2013年

2 楊思陽(yáng);基于特征價(jià)格模型的武漢地區(qū)高爾夫球場(chǎng)對(duì)周邊房地產(chǎn)價(jià)格影響研究[D];華中科技大學(xué);2013年

3 曹?chē)?guó)志;房地產(chǎn)市場(chǎng)非理性消費(fèi)行為研究[D];中南林業(yè)科技大學(xué);2012年

4 李慶玲;消費(fèi)者購(gòu)房決策影響因素差異研究[D];浙江大學(xué);2006年

5 范勇華;住房消費(fèi)行為研究[D];重慶大學(xué);2004年

6 孫少鋒;上海城市居民住房需求偏好與消費(fèi)行為研究[D];暨南大學(xué);2004年

，

本文編號(hào)：2337727