發(fā)布時間：2018-03-03 22:06

  本文選題：生產(chǎn)性服務(wù)業(yè)　切入點：全要素生產(chǎn)率　出處：《廣西大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：現(xiàn)階段我國制造業(yè)面臨著發(fā)達(dá)國家和新興經(jīng)濟(jì)體的雙重擠壓、低成本優(yōu)勢快速遞減和新競爭優(yōu)勢尚未形成的兩難局面,傳統(tǒng)的依賴投資及外需支持的制造業(yè)已越來越不具有競爭優(yōu)勢,如何有效提升制造業(yè)全要素生產(chǎn)率,實現(xiàn)產(chǎn)業(yè)結(jié)構(gòu)的優(yōu)化升級已成為亟待解決的問題。伴隨著專業(yè)分工的深化,生產(chǎn)性服務(wù)業(yè)將會發(fā)揮其增加制造業(yè)知識技術(shù)和人力資本密度功能的作用,增加產(chǎn)品的附加值,降低生產(chǎn)過程中各環(huán)節(jié)的協(xié)調(diào)成本,提高生產(chǎn)效率,成為制造業(yè)增長的新動力。我國制造業(yè)應(yīng)當(dāng)充分認(rèn)識到生產(chǎn)性服務(wù)業(yè)高附加值、高技術(shù)性、高輻射等特點,通過利用外部專業(yè)化生產(chǎn)性服務(wù)的投入優(yōu)化生產(chǎn)結(jié)構(gòu)和提升效率。本文基于要素投入視角,利用我國2002年、2005年、2007年、2010年和2012年42部門投入產(chǎn)出表數(shù)據(jù),根據(jù)直接消耗系數(shù)構(gòu)造的服務(wù)投入率來衡量制造業(yè)生產(chǎn)過程中生產(chǎn)性服務(wù)的投入水平,采用DEA-Malmquist生產(chǎn)率指數(shù)對我國制造業(yè)的全要素生產(chǎn)率進(jìn)行測算。與以往的研究不同,考慮到行業(yè)異質(zhì)性的影響,本文將制造業(yè)細(xì)分為勞動密集型制造業(yè)、資本密集型制造業(yè)和技術(shù)密集型制造業(yè)三類,分別構(gòu)造靜態(tài)面板數(shù)據(jù)模型檢驗生產(chǎn)性服務(wù)的投入對勞動密集型制造業(yè)、資本密集型制造業(yè)、技術(shù)密集型制造業(yè)全要素生產(chǎn)率的影響。結(jié)果顯示生產(chǎn)性服務(wù)的投入對制造業(yè)不同類型行業(yè)的全要素生產(chǎn)率影響不同:勞動密集型制造業(yè)服務(wù)投入率每提高1個百分點,將使行業(yè)全要素生產(chǎn)率上升0.2564個百分點,說明生產(chǎn)性服務(wù)的投入加深了勞動密集型制造業(yè)各部門之間的工藝流程的分工合作,降低了價值鏈各環(huán)節(jié)的協(xié)調(diào)成本,提高了全要素生產(chǎn)率;生產(chǎn)性服務(wù)的投入對資本密集型制造業(yè)全要素生產(chǎn)率的影響為正,但這種正向影響并不顯著。而技術(shù)密集型制造業(yè)服務(wù)投入率每提高1個百分點,將使全要素生產(chǎn)率下降0.2894個百分點,這主要是因為技術(shù)密集型制造業(yè)對于對研發(fā)、設(shè)計、綜合技術(shù)服務(wù)等高級化的生產(chǎn)性服務(wù)的外部需求得不到滿足,選擇生產(chǎn)性服務(wù)內(nèi)部化的生產(chǎn)組織模式擠占了制造企業(yè)可以用來發(fā)展生產(chǎn)工藝、進(jìn)行技術(shù)創(chuàng)新、提高生產(chǎn)效率的資源,不利于生產(chǎn)效率的提高。根據(jù)實證分析結(jié)果,本文為制造業(yè)通過投入生產(chǎn)性服務(wù)促進(jìn)全要素生產(chǎn)率的提升提出了以下幾點政策建議:一方面,要完善生產(chǎn)性服務(wù)業(yè)內(nèi)部結(jié)構(gòu);另一方面,要加強(qiáng)生產(chǎn)性服務(wù)業(yè)與制造業(yè)的融合發(fā)展。
[Abstract]:At the present stage, China's manufacturing industry is facing a dilemma of double squeezing between developed countries and emerging economies, the rapid decline of low-cost advantages and the unformed new competitive advantages. The traditional manufacturing industry relying on investment and external demand has no competitive advantage. How to effectively improve the total factor productivity of manufacturing industry and realize the optimization and upgrading of industrial structure has become an urgent problem to be solved, along with the deepening of professional division of labor. Producer services will play its role in increasing the knowledge, technology and human capital density of manufacturing, increasing the added value of products, reducing the cost of coordination in all aspects of the production process, and improving production efficiency. China's manufacturing industry should be fully aware of the characteristics of high value-added, high-technology and high-radiation producer services. By using the input of the external specialized productive services to optimize the production structure and enhance the efficiency, this paper, from the perspective of factor input, makes use of the input-output table data of 2002, 2005, 2007, 2007 and #date#time42 in China. According to the service input rate constructed by the direct consumption coefficient, the DEA-Malmquist productivity index is used to measure the total factor productivity of manufacturing industry in China. Considering the influence of industry heterogeneity, this paper subdivides manufacturing into three categories: labor-intensive manufacturing, capital-intensive manufacturing and technology-intensive manufacturing. The static panel data model is constructed to test the input of productive services to labor-intensive manufacturing, capital-intensive manufacturing, The results show that the input of productive services has different effects on the total factor productivity of different types of manufacturing industries: each increase in the input rate of labor-intensive manufacturing services by one percentage point, It will increase the total factor productivity of the industry by 0.2564 percentage points, indicating that the input of productive services deepens the division of work and cooperation among the various sectors of the labor-intensive manufacturing industry, and reduces the coordination costs of the various links in the value chain. Increased total factor productivity; the positive impact of inputs from productive services on total factor productivity in capital-intensive manufacturing industries was positive, but the positive impact was not significant. Will reduce total factor productivity by 0.2894 percentage points, mainly because the external demand for advanced productive services, such as R & D, design and integrated technology services, is not being met in technology-intensive manufacturing. The choice of productive service internalization of production organization model overruns the resources that can be used by manufacturing enterprises to develop production processes, carry out technological innovation, and improve production efficiency, which is not conducive to the improvement of production efficiency. This paper puts forward the following policy recommendations for the manufacturing industry to promote the total factor productivity through the input of productive services: on the one hand, to improve the internal structure of producer services; on the other hand, We should strengthen the integration and development of producer services and manufacturing industries.
【學(xué)位授予單位】：廣西大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：F719;F424

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