本文選題：省域技術(shù)創(chuàng)新能力 + 評(píng)價(jià)指標(biāo)體系��； 參考：《江西財(cái)經(jīng)大學(xué)》2014年碩士論文

【摘要】：技術(shù)創(chuàng)新是衡量區(qū)域經(jīng)濟(jì)狀況以及區(qū)域競(jìng)爭(zhēng)實(shí)力的重要指標(biāo)。探究省域技術(shù)創(chuàng)新能力,對(duì)明晰我國(guó)各省、經(jīng)濟(jì)圈乃至全國(guó)的技術(shù)創(chuàng)新內(nèi)在驅(qū)動(dòng)力,考察知識(shí)溢出對(duì)技術(shù)進(jìn)步的促進(jìn)作用,從而深度分析區(qū)域技術(shù)與區(qū)域創(chuàng)新的耦聯(lián)效應(yīng),并推進(jìn)區(qū)域產(chǎn)業(yè)部門(mén)的協(xié)調(diào)均衡發(fā)展,分析技術(shù)創(chuàng)新各子系統(tǒng)的動(dòng)態(tài)漲落狀況,展望技術(shù)創(chuàng)新的未來(lái)發(fā)展趨勢(shì),具有不可或缺的意義。 本文提出了一種將小波分析和改進(jìn)灰熵TOPSIS法相結(jié)合的省域技術(shù)創(chuàng)新能力評(píng)價(jià)方法——WP法。首先,對(duì)小波分析、改進(jìn)的灰熵TOPSIS法等進(jìn)行了詳細(xì)的理論闡釋,總結(jié)了各類(lèi)多屬性綜合評(píng)價(jià)方法的優(yōu)缺點(diǎn)；然后,以省域技術(shù)創(chuàng)新能力為研究背景,解析了技術(shù)創(chuàng)新能力的涵義,并構(gòu)建省域技術(shù)創(chuàng)新能力評(píng)價(jià)指標(biāo)體系；進(jìn)而,對(duì)全國(guó)31個(gè)省市1995—2011年的時(shí)間序列數(shù)據(jù)進(jìn)行小波分解,根據(jù)小波分析的能量守恒定律,選取小波分解后的能量與指標(biāo)權(quán)重的加權(quán)和來(lái)表示各省的技術(shù)創(chuàng)新能力；第四步,用熵值法、灰熵TOPSIS法和WP法對(duì)我國(guó)31個(gè)省市的技術(shù)創(chuàng)新能力進(jìn)行分析；接著,基于上述結(jié)果,對(duì)省域技術(shù)創(chuàng)新能力進(jìn)行影響因素分析；最后,從省域經(jīng)濟(jì)綜合競(jìng)爭(zhēng)力提升、科技資源投入產(chǎn)出增加和技術(shù)創(chuàng)新環(huán)境優(yōu)化的角度,分析如何增強(qiáng)三大經(jīng)濟(jì)地帶(京津唐、長(zhǎng)江三角洲和珠江三角洲)的技術(shù)創(chuàng)新能力,并選擇以經(jīng)濟(jì)集聚區(qū)為中心的經(jīng)濟(jì)輻射路徑。 本文得出的結(jié)論是：通過(guò)檢驗(yàn)實(shí)證結(jié)果與區(qū)域創(chuàng)新能力報(bào)告綜合排名的Spearman等級(jí)相關(guān)度,表明WP法在揭示省域技術(shù)創(chuàng)新的經(jīng)濟(jì)圈集聚現(xiàn)象和省域技術(shù)創(chuàng)新能力排名的準(zhǔn)確性方面明顯優(yōu)于其他幾種方法。而準(zhǔn)確定位產(chǎn)學(xué)研機(jī)構(gòu)的職能,有效利用知識(shí)、技術(shù)的溢出效應(yīng),便于實(shí)現(xiàn)技術(shù)創(chuàng)新資源稟賦的合理化配置,協(xié)調(diào)化調(diào)配產(chǎn)業(yè)間的比例,實(shí)現(xiàn)技術(shù)創(chuàng)新的高效化,為省域技術(shù)創(chuàng)新能力的提升、區(qū)域技術(shù)創(chuàng)新能力的協(xié)同發(fā)展、全國(guó)技術(shù)創(chuàng)新網(wǎng)絡(luò)的構(gòu)建提供依據(jù),最終為實(shí)現(xiàn)經(jīng)濟(jì)的持續(xù)穩(wěn)步發(fā)展提供科技支持。 本文選取1995—2011年各省市技術(shù)創(chuàng)新能力指標(biāo)的時(shí)間序列數(shù)據(jù),一改大多數(shù)論文中從知識(shí)創(chuàng)造、獲取能力等方面進(jìn)行指標(biāo)設(shè)定的方法,從科技資源的投入產(chǎn)出角度構(gòu)建省域技術(shù)創(chuàng)新能力的動(dòng)態(tài)綜合評(píng)價(jià)模型,評(píng)價(jià)各省的技術(shù)創(chuàng)新能力。主要的創(chuàng)新之處為：第一,將常用于圖像識(shí)別、數(shù)據(jù)壓縮的小波變換用于省域技術(shù)創(chuàng)新指標(biāo)數(shù)據(jù)的分析,去除經(jīng)濟(jì)信號(hào)中的異方差性和非平穩(wěn)性,得到“去噪”以后反映最本質(zhì)經(jīng)濟(jì)波動(dòng)情況的數(shù)據(jù),充分體現(xiàn)小波分解時(shí)頻局部性的優(yōu)點(diǎn)。根據(jù)小波分解能量守恒定理,用各指標(biāo)能量的范數(shù)表征各省市的技術(shù)創(chuàng)新能力。第二,小波分析平滑去噪后的指標(biāo)數(shù)據(jù)表達(dá)出了各指標(biāo)所反映的本質(zhì)信息,把時(shí)間維加入各指標(biāo)的歐氏范數(shù)求解過(guò)程,選取改進(jìn)的灰熵TOPSIS法進(jìn)行指標(biāo)權(quán)重的設(shè)定,克服了傳統(tǒng)指標(biāo)權(quán)重求解方法的缺點(diǎn),這使得權(quán)重的計(jì)算結(jié)果更加科學(xué)、完善,平滑去噪后數(shù)據(jù)的加權(quán)和更加準(zhǔn)確地表征了各省的技術(shù)創(chuàng)新能力。
[Abstract]:Technological innovation is an important indicator to measure the regional economic situation and regional competitive strength. To explore the technological innovation capability of provincial region, to clarify the internal driving force of the technological innovation of all provinces, economic circles and even the whole country, to investigate the effect of knowledge spillover on technological progress, and to analyze the coupling effect of regional technology and regional innovation in depth. It is of great significance to promote the coordinated and balanced development of regional industrial sectors, analyze the dynamic fluctuation of the subsystems of technological innovation, and look forward to the future development trend of technological innovation.
This paper puts forward a method of evaluating the technological innovation ability of provincial domain, which combines the wavelet analysis with the improved grey entropy TOPSIS method - WP method. First, the wavelet analysis, the improved grey entropy TOPSIS method and so on are explained in detail, and the advantages and disadvantages of all kinds of multi attribute comprehensive evaluation methods are summarized. Then, the technological innovation ability of the provincial region is studied. In the background, the meaning of technological innovation ability is analyzed, and the evaluation index system of provincial technological innovation ability is constructed. Then, the time series data of 31 provinces and cities in China from 1995 to 2011 are decomposed by wavelet analysis. According to the energy conservation law of wavelet analysis, the weight of energy and index weight after wavelet decomposition is selected to express each province. The fourth step is to analyze the technological innovation ability of 31 provinces and cities in China by entropy method, grey entropy TOPSIS method and WP method. Then, based on the above results, the influence factors are analyzed. Finally, the comprehensive competitiveness of the provincial economy is raised, the input and output of scientific and technological resources and the technological innovation environment are increased. The optimization point of view is to analyze how to enhance the technological innovation ability of the three economic zones (Beijing, Tianjin Tangshan, Yangtze River Delta and Pearl River Delta), and choose the economic radiation path centered on the economic agglomeration area.
The conclusion of this paper is that by examining the Spearman grade correlation of the comprehensive ranking of the empirical results and the regional innovation capability report, it shows that the WP method is obviously superior to the other methods in revealing the economic agglomeration of the provincial technological innovation and the accuracy of the provincial technological innovation capacity. The effective use of knowledge and technology spillover effect makes it easy to realize the rationalization of the resource endowment of technological innovation, coordinate and allocate the proportion of the industry, realize the high efficiency of the technological innovation, and provide the basis for the enhancement of the technological innovation ability of the province, the coordinated development of regional technological innovation ability and the construction of the national technological innovation network. Provide scientific and technological support for the sustained and steady development of the economy.
This paper selects the time series data of the technical innovation capability indexes of provinces and cities from 1995 to 2011, and changes the method of setting index from knowledge creation and acquisition ability in most of the papers, and constructs a dynamic comprehensive evaluation model of provincial technological innovation ability from the angle of input and output of scientific and technological resources, and evaluates the technological innovation ability of each province. The main innovations are as follows: firstly, the wavelet transform, which is used in image recognition and data compression, is used in the analysis of provincial technical innovation index data, to remove the heteroscedasticity and non-stationary in the economic signal, and to obtain the data of the most essential economic fluctuation after "denoising", and fully embody the advantages of the time frequency locality of the wavelet decomposition. According to the energy conservation theorem of wavelet decomposition, the technical innovation ability of various provinces and cities is characterized by the norm of each index energy. Second, the essential information reflected by each index is expressed by the index data of smoothing denoising by wavelet analysis, the time dimension is added to the Euclidean norm of each index to solve the process, and the improved grey entropy TOPSIS method is selected to carry out the index right. The weight setting overcame the shortcomings of the traditional index weight solving method, which made the weight calculation more scientific and perfect, and smoothed the weight of the data after the denoising and characterized the technological innovation ability of the provinces more accurately.

【學(xué)位授予單位】：江西財(cái)經(jīng)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類(lèi)號(hào)】：F124.3

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