本文關(guān)鍵詞： 金融業(yè) 投入產(chǎn)出模型 產(chǎn)業(yè)關(guān)聯(lián)　出處：《重慶理工大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

【摘要】：國民經(jīng)濟的健康穩(wěn)定的發(fā)展離不開金融業(yè)對各個產(chǎn)業(yè)的支持,金融業(yè)處于各個產(chǎn)業(yè)關(guān)聯(lián)中的核心位置。而金融業(yè)是一種特殊性服務(wù)產(chǎn)業(yè),通過其金融產(chǎn)品及服務(wù)參與到各產(chǎn)業(yè)的投入、產(chǎn)出及優(yōu)化配置社會資源。目前我國正在加快轉(zhuǎn)變經(jīng)濟增長方式,而作為核心產(chǎn)業(yè)之一的金融業(yè),其在國民經(jīng)濟中究竟處于何種地位、對國民經(jīng)濟各部門產(chǎn)業(yè)關(guān)聯(lián)關(guān)系變化如何、各地區(qū)是否存在地區(qū)差異關(guān)聯(lián)產(chǎn)業(yè)等問題備受政府的關(guān)注和學(xué)術(shù)界的研究。本文借助投入產(chǎn)出模型對2002、2007、2010年我國金融業(yè)在三次產(chǎn)業(yè)中投入產(chǎn)出結(jié)構(gòu)以及與各產(chǎn)業(yè)部門的后向、前向、環(huán)向關(guān)聯(lián)程度進行了計算分析,在此基礎(chǔ)上選取了上海、湖北、重慶作為東、中、西部的代表性城市分別計算了其2002、2005、2007年金融業(yè)與各產(chǎn)業(yè)部門的后向、前向、環(huán)向關(guān)聯(lián)程度。研究結(jié)果表明:在三次產(chǎn)業(yè)中,金融業(yè)對第三產(chǎn)業(yè)的拉動作用最為明顯,其次為第二產(chǎn)業(yè),而與第一產(chǎn)業(yè)關(guān)聯(lián)度則為0,在推動產(chǎn)業(yè)發(fā)展上看,金融業(yè)對第二產(chǎn)業(yè)的推動作用最大,其次為第三產(chǎn)業(yè),但隨著時間的推進,金融業(yè)在第二產(chǎn)業(yè)和第三產(chǎn)業(yè)的投入分配上逐漸接近;在金融業(yè)與各細分產(chǎn)業(yè)關(guān)聯(lián)中,金融業(yè)雖然在直接關(guān)聯(lián)程度上與第三產(chǎn)業(yè)較為顯著,但完全關(guān)聯(lián)程度卻依然保持與第二產(chǎn)業(yè)的高關(guān)聯(lián)性,并且我國金融業(yè)的推動和拉動作用大部分僅作用于少數(shù)產(chǎn)業(yè),分布不均勻,波及效果不明顯;在上海、湖北、重慶地區(qū)的金融業(yè)與各細分產(chǎn)業(yè)關(guān)聯(lián)中,上海金融業(yè)側(cè)重于高新科技產(chǎn)業(yè)及物流產(chǎn)業(yè),湖北金融業(yè)在第二產(chǎn)業(yè)和第三產(chǎn)業(yè)部門中關(guān)聯(lián)均勻,重慶金融業(yè)側(cè)重于商貿(mào)業(yè)、服務(wù)業(yè)。
[Abstract]:The healthy and stable development of the national economy can not be separated from the support of the financial industry to the various industries, the financial industry is in the core position of the various industries, and the financial industry is a special service industry. Through its financial products and services to participate in the input, output and optimal allocation of social resources. At present, China is speeding up the transformation of economic growth mode, and as one of the core industries of the financial industry, What is its position in the national economy, and how does it change the relationship between industries in various sectors of the national economy? Whether there are related industries in different regions has attracted the attention of the government and academic circles. This paper, with the help of input-output model, analyzes the input-output structure of China's financial industry in the three industries in 2010 and the backward direction with the industrial departments. Based on the calculation and analysis of the degree of forward and circumferential correlation, the representative cities of Shanghai, Hubei, Chongqing are selected as the representative cities in the east, the middle and the west respectively to calculate the backward and forward direction of the financial industry and the various industrial departments in 2007. The results show that among the three industries, the financial industry has the most obvious pull on the tertiary industry, followed by the secondary industry, and the correlation degree with the primary industry is 0. In terms of promoting the development of the industry, The role of financial industry in promoting the secondary industry is the greatest, followed by the third industry, but with the development of time, the financial industry is gradually close to the allocation of the input of the secondary industry and the tertiary industry. Although the financial industry has a significant direct correlation with the tertiary industry, the degree of complete correlation is still highly related to the secondary industry, and most of the promotion and pull effects of the financial industry in China are only limited to a few industries. The financial industry in Shanghai, Hubei, and Chongqing has a strong focus on high-tech and logistics industries among the financial sectors in Shanghai, Hubei and Chongqing. The financial industry of Hubei is closely related to the secondary industry and the tertiary industry, and Chongqing financial industry focuses on the trade and service industries.
【學(xué)位授予單位】：重慶理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：F832

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