本文選題：消費 + 網絡消費��； 參考：《湖南師范大學》2015年碩士論文

【摘要】：近幾年來,中國互聯網呈現快速發(fā)展的態(tài)勢,網絡消費作為一種依托互聯網發(fā)展的消費模式在得到迅速發(fā)展。2013年,網絡消費的網民已經到達3.02億,同比增加5987萬,同比增長率達到24.7%,消費金額達到1.8萬億,網民網購使用率也從42.9%快速提升至48.9%,這意味著每兩個網民之中基本就有一個網民進行網絡消費。網絡的普及化、大眾化以及單個網民購物金額的不斷提高推動網絡消費金額不斷增長。短時間內,網絡消費與傳統零售業(yè)存在此消彼長的替代關系,因此研究網絡消費不但可以對網絡消費這一新興事物進行理論補充,而且有利于傳統消費的商家轉型運營方式,對傳統零售業(yè)有著重要的指導意義。網絡的迅速普及為網絡消費發(fā)展奠定了較好的市場基礎,中國網絡消費的前景充滿期待,但同時,也存在較大的發(fā)展問題和發(fā)展瓶頸,如眾所周知的網絡安全問題、網絡消費誠信問題、政府監(jiān)管問題、以及資金的安全支付問題,因此,可以說中國網絡消費機會與挑戰(zhàn)同時存在。如果能夠較好地解決這些問題,對政府、消費者和商家都是一種帕累托改進,也有利于實現中國社會經濟健康持續(xù)發(fā)展。本文首先從網絡消費的概念入手,界定網絡消費的范疇,網絡消費分廣義的網絡消費和俠義的網絡消費之分,本文的網絡消費主要指俠義的網絡消費,其次本文分析中國網絡發(fā)展的現狀與發(fā)展過程中存在的一些問題,從理論上和實證方面對中國網絡消費進行較為全面的分析。在實證分析方面,考慮到本文所使用的數據是整個中國網絡消費的數據,鑒于筆者力量有限,不可能進行大面積市場調查,本文主要選取了中國統計局網站和中國互聯網購物調查研究的統計數據,對于一些需要使用的但實際缺省的數據,本文利用平滑系數法進行了適當的修正和補充,主要在網絡消費價格、商業(yè)營業(yè)租金、收入水平、上網時長等方面選取指數。在eviews7.0中采用自向量回歸模型建立、脈沖響應與方差分解分析,找到影響中國網絡消費的關鍵因素和各因素影響程度,并進行經濟學解釋和分析。最后,筆者將對eviews7.0統計軟件中所得出的向量自回歸模型結合其經濟學含義來進行解釋和分析。筆者結合本文的實證分析結論和中國網絡消費發(fā)展的實際,提出了對政府、消費者、電子商務企業(yè)的政策建議。
[Abstract]:In recent years, China's Internet has shown a rapid development, and Internet consumption, as a consumption pattern based on the Internet, has been developing rapidly. In 2013, the number of Internet users has reached 302 million, an increase of 59.87 million over the same period last year. The year-on-year growth rate reached 24.7%, the consumption amount reached 1.8 trillion, and the usage rate of online shopping rose rapidly from 42.9% to 48.9%, which means that one in every two netizens spend on the Internet. The popularization of the network, the popularization and the increasing of the single netizen's shopping amount promote the increasing of the net consumption amount. In a short period of time, the network consumption and the traditional retailing industry have the substitution relation, therefore, the research network consumption not only can carry on the theoretical supplement to the network consumption this new thing, but also is advantageous to the traditional consumption merchant transformation operation way, For the traditional retail industry has an important guiding significance. The rapid popularization of the network has laid a good market foundation for the development of network consumption. The prospect of China's network consumption is full of expectation, but at the same time, there are also large development problems and bottlenecks, such as well-known network security problems. The problem of network consumption honesty, government supervision, and the safe payment of funds can be said that the opportunity and challenge of network consumption exist simultaneously in China. If we can solve these problems well, it is a kind of Pareto improvement for the government, consumers and merchants, and it is also conducive to the healthy and sustainable development of China's social economy. This paper begins with the concept of network consumption, defines the category of network consumption, network consumption is divided into broad network consumption and chivalrous network consumption, this paper mainly refers to chivalrous network consumption. Secondly, this paper analyzes the current situation of China's network development and some problems in the process of development, and makes a more comprehensive analysis of China's network consumption theoretically and empirically. In the empirical analysis, considering that the data used in this paper are the data of the entire Chinese network consumption, in view of the limited strength of the author, it is impossible to carry out a large-scale market survey. This paper mainly selects the statistical data from the website of China Bureau of Statistics and the China Internet Shopping Survey. For some actual default data that need to be used, this paper uses the smoothing coefficient method to make appropriate corrections and additions. Mainly in the network consumer price, business rent, income level, Internet access time and other aspects of the selection index. In eviews7.0, the autovector regression model is established, the impulse response and variance decomposition analysis are used to find the key factors and the degree of influence of the factors affecting China's network consumption, and the economic explanation and analysis are carried out. Finally, the author will explain and analyze the vector autoregressive model in eviews7.0 statistical software combined with its economic meaning. Based on the conclusions of the empirical analysis and the development of China's Internet consumption, the author puts forward some policy suggestions for the government, consumers and e-commerce enterprises.
【學位授予單位】：湖南師范大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：F724.6

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本文編號：2009883