【摘要】：歷經(jīng)近30年的發(fā)展,高新技術(shù)產(chǎn)業(yè)已經(jīng)在我國國民經(jīng)濟(jì)中占有重要地位。高新技術(shù)產(chǎn)業(yè)中的知識研發(fā)和技術(shù)進(jìn)步是我國經(jīng)濟(jì)增長的重要推動力,對于引導(dǎo)我國經(jīng)濟(jì)由"投資驅(qū)動型"向"技術(shù)驅(qū)動型"轉(zhuǎn)變具有重要作用。新增長理論指出人力資本投入和研發(fā)積累是技術(shù)進(jìn)步和產(chǎn)出增長的主要影響因素,對于高新技術(shù)產(chǎn)業(yè)尤其如此。由于高新技術(shù)產(chǎn)業(yè)的生產(chǎn)和研發(fā)活動具有外部性,本文在研究過程中,需要考慮空間因素對研究的影響。本文在總結(jié)分析現(xiàn)有研究以及介紹相關(guān)理論知識的基礎(chǔ)上,根據(jù)《中國高技術(shù)產(chǎn)業(yè)統(tǒng)計年鑒》和《中國統(tǒng)計年鑒》等數(shù)據(jù)資料,建立空間面板模型,對中國高新技術(shù)產(chǎn)業(yè)產(chǎn)出影響因素進(jìn)行分析,其中重點(diǎn)研究了知識溢出和研發(fā)積累對高新技術(shù)產(chǎn)業(yè)的影響作用。首先,對高新技術(shù)產(chǎn)業(yè)產(chǎn)出進(jìn)行了空間相關(guān)性檢驗,證實其空間相關(guān)性的存在。其次,引入研發(fā)積累、知識溢出及人力資本投入等指標(biāo),分別構(gòu)建空間滯后模型、空間誤差模型以及空間杜賓模型,通過回歸系數(shù)擬合度對比及相關(guān)檢驗,判斷和選擇最優(yōu)模型。本文最終選擇了具有空間固定效應(yīng)的空間杜賓模型。研究表明:我國高新技術(shù)產(chǎn)業(yè)的產(chǎn)出存在著顯著的空間相關(guān)性,在空間上具有正向促進(jìn)效應(yīng);研發(fā)積累對高新技術(shù)產(chǎn)業(yè)產(chǎn)出的影響大于勞動力和物質(zhì)資本對高新技術(shù)產(chǎn)業(yè)產(chǎn)出的影響,同時研發(fā)積累具有顯著的空間溢出效應(yīng),意味著一個省域的高新技術(shù)產(chǎn)業(yè)產(chǎn)出不僅受該省域自身研發(fā)積累的影響,也受到鄰近省域研發(fā)積累的影響;關(guān)于知識溢出對高新技術(shù)產(chǎn)業(yè)產(chǎn)出的影響,我國各地區(qū)高新技術(shù)產(chǎn)業(yè)產(chǎn)出受專業(yè)化外部性和本地競爭外部性的影響,存在顯著的MAR溢出和Porter溢出,然而高新技術(shù)產(chǎn)業(yè)的多樣化對高新技術(shù)產(chǎn)業(yè)產(chǎn)出的影響不顯著。本文的可能創(chuàng)新之處體現(xiàn)為:在變量選取上,引入研發(fā)積累與知識溢出指標(biāo)來研究其對高新技術(shù)產(chǎn)業(yè)產(chǎn)出的影響;在模型構(gòu)建過程中,考慮了高新技術(shù)產(chǎn)業(yè)產(chǎn)出的空間相關(guān)性,分別構(gòu)建空間滯后模型、空間誤差模型以及空間杜賓模型,通過回歸系數(shù)擬合度對比及相關(guān)檢驗,最終選擇最恰當(dāng)?shù)目臻g模型。
[Abstract]:After nearly 30 years of development, high-tech industry has played an important role in our national economy. Knowledge R & D and technological progress in high-tech industry are the important driving force of our country's economic growth, and play an important role in guiding our country's economy to change from "investment-driven" to "technology-driven". The new growth theory points out that human capital investment and R & D accumulation are the main influencing factors of technological progress and output growth, especially for high-tech industries. Due to the externality of the production and R & D activities of high and new technology industries, the influence of space factors on the research should be considered in this paper. On the basis of summarizing and analyzing the existing research and introducing relevant theoretical knowledge, this paper establishes a spatial panel model based on the data of China High-Tech Industry Statistical Yearbook and China Statistical Yearbook. This paper analyzes the influencing factors of high-tech industry output in China, and focuses on the effect of knowledge spillover and R & D accumulation on high-tech industry. Firstly, the spatial correlation test of high-tech industry output is carried out to confirm the existence of spatial correlation. Secondly, by introducing R & D accumulation, knowledge spillover and human capital investment, respectively, the spatial lag model, spatial error model and spatial Dobbin model are constructed. To judge and select the optimal model. In this paper, the spatial Doberman model with spatial fixed effect is selected. The results show that: the output of high-tech industries in China has significant spatial correlation and has a positive promotion effect in space; The impact of R & D accumulation on high-tech industrial output is greater than that of labor force and physical capital, and R & D accumulation has significant spatial spillover effect. This means that the output of high-tech industries in a province is affected not only by the accumulation of research and development within the province itself, but also by the accumulation of research and development in neighbouring provinces; on the impact of knowledge spillover on the output of high-tech industries, Due to the externalities of specialization and local competition, there are significant MAR spillovers and Porter spillovers in various regions of China. However, the diversification of high-tech industries has no significant effect on the output of high-tech industries. The possible innovations of this paper are as follows: in the selection of variables, R & D accumulation and knowledge spillover index are introduced to study the impact of R & D accumulation and knowledge spillover on high-tech industry output; in the process of model construction, the spatial correlation of high-tech industry output is considered. The spatial lag model, spatial error model and spatial Doberman model are constructed, and the most appropriate spatial model is selected through the comparison of regression coefficient fitting degree and correlation test.
【學(xué)位授予單位】：東北財經(jīng)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2016
【分類號】：F276.44

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