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金融發(fā)展對(duì)經(jīng)濟(jì)增長(zhǎng)與產(chǎn)業(yè)結(jié)構(gòu)調(diào)整的影響研究

發(fā)布時(shí)間:2018-04-21 14:48

  本文選題:金融發(fā)展 + 經(jīng)濟(jì)增長(zhǎng); 參考:《中國(guó)地質(zhì)大學(xué)》2013年碩士論文


【摘要】:金融是經(jīng)濟(jì)發(fā)展的核心,在經(jīng)濟(jì)發(fā)展中扮演著重要的角色,所以金融與經(jīng)濟(jì)發(fā)展一直受到國(guó)內(nèi)外學(xué)者的廣泛關(guān)注。自改革開(kāi)放以來(lái),我國(guó)經(jīng)濟(jì)發(fā)展取得巨大成就,伴隨著經(jīng)濟(jì)發(fā)展,金融業(yè)也發(fā)生了巨大的變化,金融產(chǎn)品日益豐富,金融機(jī)構(gòu)與金融市場(chǎng)逐步完善,金融已成為政府調(diào)控宏觀經(jīng)濟(jì)及優(yōu)化社會(huì)資源配置的重要手段。而經(jīng)濟(jì)發(fā)展主要體現(xiàn)在兩個(gè)方面,一是經(jīng)濟(jì)總量的增加,二是經(jīng)濟(jì)結(jié)構(gòu)的調(diào)整與優(yōu)化,因此,有不少學(xué)者致力于解析金融發(fā)展對(duì)經(jīng)濟(jì)增長(zhǎng)與產(chǎn)業(yè)結(jié)構(gòu)調(diào)整的作用及影響。 本研究從金融發(fā)展的內(nèi)涵與測(cè)量,金融發(fā)展與經(jīng)濟(jì)增長(zhǎng)的關(guān)系以及金融發(fā)展與產(chǎn)業(yè)結(jié)構(gòu)調(diào)整的關(guān)系對(duì)國(guó)內(nèi)外的相關(guān)文獻(xiàn)進(jìn)行了梳理。已有研究尚待進(jìn)一步完善的地方主要表現(xiàn)在以下幾個(gè)方面:(1)對(duì)區(qū)域金融發(fā)展的科學(xué)測(cè)量。已有關(guān)于金融發(fā)展的文獻(xiàn)中,主要側(cè)重于研究金融發(fā)展與經(jīng)濟(jì)增長(zhǎng)等變量之間的關(guān)系,而往往忽略金融發(fā)展本身的度量問(wèn)題。(2)已有研究主要是檢驗(yàn)金融發(fā)展與經(jīng)濟(jì)增長(zhǎng)、產(chǎn)業(yè)結(jié)構(gòu)調(diào)整的線(xiàn)性關(guān)系。較少探討金融發(fā)展對(duì)經(jīng)濟(jì)增長(zhǎng)與產(chǎn)業(yè)結(jié)構(gòu)調(diào)整之間的非線(xiàn)性作用;诖,木研究致力于解決的科學(xué)問(wèn)題是:從省際層面構(gòu)建金融發(fā)展水平的評(píng)價(jià)指標(biāo)體系并進(jìn)行金融發(fā)展測(cè)度,在此基礎(chǔ)上探討金融發(fā)展對(duì)經(jīng)濟(jì)增長(zhǎng)與產(chǎn)業(yè)結(jié)構(gòu)調(diào)整的作用與影響。通過(guò)實(shí)證分析,本研究有以下主要結(jié)論: (1)構(gòu)建了區(qū)域金融發(fā)展水平指標(biāo)體系,并測(cè)度了各省份的金融發(fā)展水平。本研究選取了金融相關(guān)比率、金融產(chǎn)業(yè)比例、保險(xiǎn)深度、A股投資者賬戶(hù)數(shù)、上市公司數(shù)量、金融從業(yè)人數(shù)、股票市場(chǎng)流動(dòng)性和政府信貸干預(yù)8個(gè)指標(biāo)來(lái)反映區(qū)域金融發(fā)展水平,通過(guò)因子分析,將8個(gè)指標(biāo)分為金融深度、金融規(guī)模和金融效率三個(gè)維度,并根據(jù)因子分析的結(jié)果確定了區(qū)域金融發(fā)展指標(biāo)體系及相應(yīng)權(quán)重。在此基礎(chǔ)上,通過(guò)模糊C聚類(lèi)獲取指標(biāo)隸屬度矩陣,運(yùn)用模糊綜合評(píng)判得到31個(gè)省份2004年至2009年的金融發(fā)展結(jié)果。結(jié)果顯示,我國(guó)大部分地區(qū)金融發(fā)展處于中等水平。金融發(fā)展處于高水平的比較少,主要集中在北京、上海、廣東、江蘇和浙江5個(gè)省份。內(nèi)蒙古、江西、廣西、貴州、青海等省份的金融發(fā)展水平一直很低。若按地域進(jìn)行劃分,東部地區(qū)整體金融發(fā)展水平要高于中部和西部地區(qū),西部地區(qū)的金融發(fā)展水平處于一個(gè)較低的水平。 (2)區(qū)域金融發(fā)展與經(jīng)濟(jì)增長(zhǎng)、產(chǎn)業(yè)結(jié)構(gòu)調(diào)整存在非線(xiàn)性關(guān)系。本研究以金融深度、金融規(guī)模和金融效率為輸入,分別以經(jīng)濟(jì)增長(zhǎng)、產(chǎn)業(yè)結(jié)構(gòu)調(diào)整為輸出構(gòu)建RBF神經(jīng)網(wǎng)絡(luò)模型,并運(yùn)用我國(guó)31個(gè)省份2004年至2009年的數(shù)據(jù)進(jìn)行實(shí)證分析。通過(guò)區(qū)域金融發(fā)展水平對(duì)經(jīng)濟(jì)增長(zhǎng)與產(chǎn)業(yè)結(jié)構(gòu)調(diào)整的RBF神經(jīng)網(wǎng)絡(luò)模型的訓(xùn)練模擬,結(jié)果發(fā)現(xiàn)無(wú)論是對(duì)所有樣本、還是分低、中、高金融發(fā)展水平樣本的訓(xùn)練,RBF神經(jīng)網(wǎng)絡(luò)仿真值與真實(shí)值之間的誤差都達(dá)到要求。據(jù)此說(shuō)明,金融深度、金融規(guī)模、金融效率與經(jīng)濟(jì)增長(zhǎng)和產(chǎn)業(yè)結(jié)構(gòu)調(diào)整存在非線(xiàn)性關(guān)系。通過(guò)比較RBF神經(jīng)網(wǎng)絡(luò)模擬的效果,發(fā)現(xiàn)不同的金融發(fā)展水平同經(jīng)濟(jì)增長(zhǎng)與產(chǎn)業(yè)結(jié)構(gòu)調(diào)整之間的關(guān)系存在差異。在高金融發(fā)展水平下,神經(jīng)網(wǎng)絡(luò)輸出值與真實(shí)值之間的誤差最小,擬合情況最好,說(shuō)明高金融發(fā)展水平對(duì)經(jīng)濟(jì)增長(zhǎng)與產(chǎn)業(yè)結(jié)構(gòu)調(diào)整的非線(xiàn)性作用越強(qiáng),非線(xiàn)性關(guān)系越明顯。 (3)區(qū)域金融發(fā)展變動(dòng)對(duì)經(jīng)濟(jì)增長(zhǎng)與產(chǎn)業(yè)結(jié)構(gòu)調(diào)整會(huì)產(chǎn)生影響,且影響方向與程度是動(dòng)態(tài)變化的。本研究通過(guò)金融發(fā)展對(duì)經(jīng)濟(jì)增長(zhǎng)與產(chǎn)業(yè)結(jié)構(gòu)調(diào)整的靈敏度分析,發(fā)現(xiàn)低、中、高三個(gè)水平的金融發(fā)展發(fā)生變動(dòng)對(duì)經(jīng)濟(jì)增長(zhǎng)與產(chǎn)業(yè)結(jié)構(gòu)調(diào)整都會(huì)產(chǎn)生一定的影響,但是有的表現(xiàn)為正向作用,有的表現(xiàn)為負(fù)向作用。在不同金融發(fā)展水平下,金融深度、金融規(guī)模以及金融效率變動(dòng)對(duì)經(jīng)濟(jì)增長(zhǎng)與產(chǎn)業(yè)結(jié)構(gòu)調(diào)整的影響存在差異,影響程度也是動(dòng)態(tài)變化的。從整體趨勢(shì)來(lái)看,中等金融發(fā)展水平下,經(jīng)濟(jì)增長(zhǎng)與產(chǎn)業(yè)結(jié)構(gòu)調(diào)整對(duì)金融深度、金融規(guī)模以及金融效率的變動(dòng)最為靈敏,其次是低金融發(fā)展水平。高金融發(fā)展水平下,金融深度、金融規(guī)模以及金融效率對(duì)經(jīng)濟(jì)增長(zhǎng)與產(chǎn)業(yè)結(jié)構(gòu)調(diào)整的作用并不是很強(qiáng)烈。金融深度、金融規(guī)模以及金融效率三個(gè)因素中,金融深度變動(dòng)對(duì)經(jīng)濟(jì)增長(zhǎng)與產(chǎn)業(yè)結(jié)構(gòu)調(diào)整的影響最大,其次是金融規(guī)模,金融效率所產(chǎn)生的影響要小一些。 本研究是對(duì)已有研究的延伸和拓展,與已有研究相比,主要有以下兩方面的創(chuàng)新: (1)區(qū)域金融發(fā)展指標(biāo)體系的完善與拓展以及區(qū)域金融發(fā)展水平的測(cè)度。本研究從金融發(fā)展的內(nèi)涵出發(fā),結(jié)合已有金融發(fā)展的測(cè)量理論,運(yùn)用因子分析構(gòu)建出區(qū)域金融發(fā)展指標(biāo)體系。在此基礎(chǔ)上,運(yùn)用模糊C聚類(lèi)和模糊綜合評(píng)判法測(cè)量出我國(guó)各地區(qū)金融發(fā)展水平。 (2)金融發(fā)展對(duì)經(jīng)濟(jì)增長(zhǎng)與產(chǎn)業(yè)結(jié)構(gòu)調(diào)整影響的非線(xiàn)性檢驗(yàn)及靈敏度分析。本研究運(yùn)用RBF神經(jīng)網(wǎng)絡(luò)探討了金融發(fā)展對(duì)經(jīng)濟(jì)增長(zhǎng)和產(chǎn)業(yè)結(jié)構(gòu)調(diào)整的非線(xiàn)性關(guān)系,并通過(guò)靈敏度分析探討了金融發(fā)展對(duì)經(jīng)濟(jì)增長(zhǎng)與產(chǎn)業(yè)結(jié)構(gòu)調(diào)整的影響。
[Abstract]:Finance is the core of economic development, plays an important role in the economic development, so the development of Finance and economy has been widely concerned by scholars at home and abroad. Since the reform and opening up, China has made great achievements in economic development. With the economic development, the financial industry has also undergone tremendous changes, financial products are increasingly rich and financial institutions are becoming more and more abundant. With the gradual improvement of the financial market, finance has become an important means by which the government regulates the macro economy and optimizes the allocation of social resources. The economic development is mainly embodied in two aspects, one is the increase of economic total and the two is the adjustment and optimization of the economic structure. Therefore, many scholars have made a lot of scholars to analyze the economic growth and the industrial structure of the financial development. The effect and effect of adjustment.
From the connotation and measurement of financial development, the relationship between financial development and economic growth as well as the relationship between financial development and industrial structure adjustment, the relevant literature at home and abroad has been combed. The existing research which has yet to be further improved is mainly manifested in the following aspects: (1) the scientific measurement of regional financial development has been concerned. In the literature of financial development, it mainly focuses on the relationship between financial development and economic growth, and often neglects the measurement of financial development itself. (2) the existing research is mainly to test the linear relationship between financial development and economic growth and industrial structure adjustment. Based on this, the scientific problem of wood research is to construct the evaluation index system of the level of financial development from the inter provincial level and measure the financial development. On this basis, the effect and influence of financial development on economic growth and industrial structure adjustment are discussed. To conclude:
(1) the index system of regional financial development level was constructed, and the financial development level of each province was measured. This study selected the financial related ratio, the proportion of the financial industry, the depth of the insurance, the number of A shares, the number of listed companies, the number of financial practitioners, the liquidity of the stock market and the government credit intervention to reflect the regional financial development. Through factor analysis, the 8 indexes are divided into three dimensions of financial depth, financial scale and financial efficiency, and the index system and corresponding weight of regional financial development are determined according to the result of factor analysis. On this basis, the fuzzy C clustering is used to obtain the index membership matrix, and 31 provinces in 2004 are obtained by fuzzy comprehensive evaluation. The result of financial development in 2009 shows that financial development in most parts of China is at the middle level. Financial development is relatively low, mainly in 5 provinces of Beijing, Shanghai, Guangdong, Jiangsu and Zhejiang. The level of financial development in Inner Mongolia, Jiangxi, Guangxi, Guizhou, Qinghai and other provinces has been very low. The overall level of financial development in the eastern region is higher than that in the central and western regions, and the level of financial development in the western region is at a relatively low level.
(2) there is a nonlinear relationship between regional financial development and economic growth and industrial structure adjustment. This study takes financial depth, financial scale and financial efficiency as input, and constructs RBF neural network model with economic growth and industrial structure adjustment to output, and uses data from 31 provinces in China from 2004 to 2009 to carry out empirical analysis. The training simulation of the RBF neural network model of financial development level on economic growth and industrial structure adjustment shows that the errors between the RBF neural network simulation values and the real values are both required for all samples, low, middle, high financial development samples, and the financial depth, financial scale, finance, and finance. There is a nonlinear relationship between efficiency and economic growth and industrial structure adjustment. By comparing the effects of RBF neural network simulation, it is found that there are differences in the relationship between different financial development levels and economic growth and industrial structure adjustment. In the high financial development level, the error between the output value and the real value of the neural network is the smallest, and the fitting situation is the least. It is best to show that the higher the level of financial development is, the stronger the nonlinear effect of economic growth and industrial structure adjustment is, the more obvious the nonlinear relationship is.
(3) the changes in regional financial development have an impact on economic growth and industrial structure adjustment, and the direction and degree of influence are dynamic. Through the sensitivity analysis of financial development to economic growth and industrial structure adjustment, this study finds that the changes in financial development at the low, middle and high levels have changed both economic growth and industrial structure adjustment. In different financial development levels, the influence of financial depth, financial scale and the change of financial efficiency on economic growth and industrial structure adjustment is different, and the influence degree is also dynamic. From the overall trend, the secondary financial development. Under the level, economic growth and industrial structure adjustment are most sensitive to financial depth, financial scale and financial efficiency, followed by low financial development level. Under the high financial development level, the role of financial depth, financial scale and financial efficiency on economic growth and industrial structure adjustment is not very strong. Financial depth and financial scale Among the three factors of financial efficiency, financial depth changes have the greatest impact on economic growth and industrial structure adjustment, followed by financial scale, and the impact of financial efficiency is smaller.
This research is an extension and expansion of the existing research. Compared with the existing research, it has two main innovations:
(1) the improvement and expansion of the index system of regional financial development and the measurement of the level of regional financial development. Based on the connotation of financial development, combining with the existing measurement theory of financial development and using factor analysis, the index system of regional financial development is constructed. On this basis, the fuzzy C clustering and fuzzy comprehensive evaluation are used to measure the system. The level of financial development in all regions of China.
(2) the nonlinear test and sensitivity analysis of the influence of financial development on economic growth and industrial structure adjustment. This study uses RBF neural network to explore the nonlinear relationship between financial development and economic growth and industrial structure adjustment, and probes into the influence of financial development on economic growth and industrial structure adjustment by sensitivity analysis.

【學(xué)位授予單位】:中國(guó)地質(zhì)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2013
【分類(lèi)號(hào)】:F832;F124

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