【摘要】：正如在20世紀(jì)90年代以來我國服務(wù)業(yè)的快速發(fā)展卻導(dǎo)致服務(wù)業(yè)的勞動(dòng)力吸納能力不斷下降一樣，從21世紀(jì)起，青島市的服務(wù)業(yè)的產(chǎn)值不斷提高，但是其就業(yè)的增長速度卻在減緩。而現(xiàn)在青島市服務(wù)業(yè)發(fā)展正處于一個(gè)關(guān)鍵時(shí)期，對(duì)于青島市服務(wù)業(yè)增長和就業(yè)有效兼顧的研究就變得非常有意義。 本文從服務(wù)業(yè)增長及就業(yè)的角度對(duì)青島市服務(wù)業(yè)進(jìn)行全面而又深入的研究，以探討二者有效兼顧的因素。影響青島市服務(wù)業(yè)增長及就業(yè)因素有很多，評(píng)價(jià)模型不統(tǒng)一，本文從索羅經(jīng)濟(jì)增長模型出發(fā)，，確定三大影響因素為資本、勞動(dòng)和技術(shù)，從這三者對(duì)青島市服務(wù)業(yè)進(jìn)行一個(gè)全面而又深入的研究，將資本細(xì)化為國內(nèi)資本和國外資本，將勞動(dòng)力分為勞動(dòng)者的數(shù)量和質(zhì)量兩方面，再將技術(shù)分為非體現(xiàn)的技術(shù)進(jìn)步也就是我們所說的全要素生產(chǎn)率和資本中體現(xiàn)的技術(shù)進(jìn)步。這樣，對(duì)變量的選取就更加深入。然后，分別用回歸模型對(duì)青島市服務(wù)業(yè)產(chǎn)值增長、青島市服務(wù)業(yè)就業(yè)人數(shù)進(jìn)行實(shí)證研究，并定量的得出結(jié)論，比較兩個(gè)實(shí)證研究的結(jié)果有何相同和不同之處。進(jìn)而分別確定影響青島市服務(wù)業(yè)產(chǎn)值增長和就業(yè)的最大影響因素以及最小影響因素，有助于政府采取準(zhǔn)確的措施和制定相關(guān)政策。
[Abstract]:Just as the rapid development of the service industry in China since the 1990s has led to a continuous decline in the capacity of the service industry to absorb labor, from the 21st century on, the output value of the service industry in Qingdao has been continuously increasing. But its employment growth rate is slowing. At present, the development of service industry in Qingdao is in a critical period, and the research on the growth and employment of service industry in Qingdao has become very meaningful. This paper makes a comprehensive and in-depth study on the service industry in Qingdao from the point of view of the growth and employment of the service industry, in order to explore the factors that can effectively take both of them into account. There are many factors that influence the growth and employment of service industry in Qingdao, and the evaluation model is not uniform. This paper, based on the Solow economic growth model, determines the three major influencing factors: capital, labor and technology. From these three aspects of Qingdao service industry a comprehensive and in-depth study, the capital into domestic capital and foreign capital, the labor force is divided into the quantity and quality of workers. Then the technology is divided into non-embodied technological progress, that is, the total factor productivity and capital reflected in the technological progress. In this way, the selection of variables will be more in-depth. Then, we use regression model to study the growth of service industry output value and the employment of service industry in Qingdao, and get the conclusion quantitatively, and compare the same and different results of the two empirical studies. Furthermore, it is helpful for the government to take accurate measures and formulate relevant policies to determine the biggest and least influential factors that affect the growth and employment of the service industry output value in Qingdao.
【學(xué)位授予單位】：青島理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：

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