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長(zhǎng)三角地區(qū)全要素生產(chǎn)率測(cè)算與比較分析

發(fā)布時(shí)間:2018-03-06 01:18

  本文選題:長(zhǎng)三角 切入點(diǎn):經(jīng)濟(jì)增長(zhǎng) 出處:《寧波大學(xué)》2013年碩士論文 論文類型:學(xué)位論文


【摘要】:本文將長(zhǎng)三角地區(qū)全要素生產(chǎn)率(Total Factors Productivity,TFP)作為研究對(duì)象,,以區(qū)域和產(chǎn)業(yè)兩個(gè)層面為切入點(diǎn),首先系統(tǒng)闡述了全要素生產(chǎn)率理論,然后對(duì)長(zhǎng)三角兩省一市和全國(guó)水平的TFP分進(jìn)行了測(cè)算和比較分析,并以此來(lái)探求長(zhǎng)三角地區(qū)經(jīng)濟(jì)增長(zhǎng)的源泉和提出相關(guān)的問(wèn)題,最后為長(zhǎng)三角經(jīng)濟(jì)長(zhǎng)遠(yuǎn)發(fā)展提出有針對(duì)性的對(duì)策建議。在區(qū)域?qū)用娴姆治鲋,采用以索洛模型為基礎(chǔ)的增長(zhǎng)核算方法對(duì)長(zhǎng)三角兩省一市1993~2011年的面板數(shù)據(jù)進(jìn)行了全要素生產(chǎn)率及其增長(zhǎng)率的估算;在產(chǎn)業(yè)層面的分析中,采用數(shù)據(jù)包絡(luò)分析的Malmquist指數(shù)法(DEA-Malmquist)測(cè)算了長(zhǎng)三角兩省一市制造業(yè)和服務(wù)業(yè)的全要素生產(chǎn)率,并分別對(duì)其進(jìn)行了分解。主要研究結(jié)論如下: 1、從區(qū)域經(jīng)濟(jì)增長(zhǎng)的角度看,長(zhǎng)三角地區(qū)整體的全要素生產(chǎn)率和兩省一市的全要素生產(chǎn)率均高于全國(guó)平均水平;但長(zhǎng)三角全要素生產(chǎn)率增長(zhǎng)率與全國(guó)平均水平相當(dāng),技術(shù)進(jìn)步對(duì)經(jīng)濟(jì)增長(zhǎng)的貢獻(xiàn)不明顯,其中只有上海的平均增長(zhǎng)率較高,明顯超過(guò)全國(guó)平均水平,而蘇浙則表現(xiàn)一般。 2、在中國(guó)經(jīng)濟(jì)逐步轉(zhuǎn)型發(fā)展的過(guò)程中,長(zhǎng)三角經(jīng)濟(jì)發(fā)展取得了很大成就,但是長(zhǎng)三角地區(qū),特別是江蘇省和浙江省,同樣面臨著經(jīng)濟(jì)增長(zhǎng)方式從基礎(chǔ)要素積累到生產(chǎn)率推動(dòng)型的迫切要求。 3、長(zhǎng)三角地區(qū)制造業(yè)全要素生產(chǎn)率增長(zhǎng)較為明顯,在經(jīng)濟(jì)總量中處于舉足輕重的地位。將制造業(yè)全要素生產(chǎn)率從技術(shù)進(jìn)步和技術(shù)效率兩個(gè)角度進(jìn)行分解之后,我們對(duì)長(zhǎng)三角制造業(yè)進(jìn)行考察分析,結(jié)果發(fā)現(xiàn),長(zhǎng)三角地區(qū)制造業(yè)的全要素生產(chǎn)率主要是靠技術(shù)進(jìn)步來(lái)推動(dòng),而技術(shù)效率的貢獻(xiàn)表現(xiàn)為負(fù)增長(zhǎng)。 4、長(zhǎng)三角地區(qū)整體上和兩省一市的服務(wù)業(yè)對(duì)經(jīng)濟(jì)增長(zhǎng)的貢獻(xiàn)均較小,服務(wù)業(yè)資源利用效率不高,雖然技術(shù)進(jìn)步指數(shù)平均水平在增長(zhǎng),但是技術(shù)效率較低。
[Abstract]:In this paper, Total Factors Productivity TFP (TFP) in the Yangtze River Delta region is taken as the research object, and the theory of TFP is expounded systematically at the two levels of region and industry. Then, the paper calculates and compares the TFP scores of the two provinces, one city and the whole country in the Yangtze River Delta, and probes into the sources of economic growth in the Yangtze River Delta region and puts forward some related problems. Finally, the paper puts forward some countermeasures and suggestions for the long-term economic development of the Yangtze River Delta. Using the growth accounting method based on Solow model, this paper estimates the total factor productivity and its growth rate in the panel data of two provinces and one city in the Yangtze River Delta from 1993 to 2011. DEA-Malmquist, a Malmquist index method based on data envelopment analysis, is used to measure the total factor productivity of manufacturing and service industries in two provinces and one city in the Yangtze River Delta, and it is decomposed respectively. The main conclusions are as follows:. 1. From the point of view of regional economic growth, the total factor productivity of the Yangtze River Delta region as a whole and the total factor productivity of two provinces and one city are both higher than the national average, but the growth rate of the total factor productivity of the Yangtze River Delta is similar to the national average. The contribution of technological progress to economic growth is not obvious, only Shanghai has a higher average growth rate than the national average, while Jiangsu and Zhejiang have a general performance. 2. In the course of the gradual economic transformation and development of China, the economic development of the Yangtze River Delta has made great achievements, but the Yangtze River Delta region, especially Jiangsu Province and Zhejiang Province, Also faces the economic growth pattern from the basic factor accumulation to the productivity promotion type urgent request. 3. The total factor productivity of manufacturing industry in the Yangtze River Delta region is increasing obviously, which plays an important role in the total economic volume. After the total factor productivity of manufacturing industry is decomposed from the two angles of technological progress and technical efficiency, The results show that the total factor productivity of manufacturing industry in the Yangtze River Delta region is mainly driven by technological progress, and the contribution of technological efficiency is negative growth. 4. The contribution of service industry to economic growth in the Yangtze River Delta region as a whole and in two provinces and one city is relatively small, and the utilization efficiency of service resources is not high. Although the average level of technological progress index is increasing, the technical efficiency is relatively low.
【學(xué)位授予單位】:寧波大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2013
【分類號(hào)】:F127

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