本文選題：服務(wù)業(yè)　切入點(diǎn)：投資環(huán)境　出處：《山西師范大學(xué)》2015年碩士論文

【摘要】：中國經(jīng)濟(jì)發(fā)展進(jìn)入新常態(tài)，經(jīng)濟(jì)轉(zhuǎn)型升級(jí)正處在重要?dú)v史拐點(diǎn)，在“三期”疊加、經(jīng)濟(jì)下行壓力較大的復(fù)雜形勢，推進(jìn)服務(wù)業(yè)主導(dǎo)的轉(zhuǎn)型與改革尤為重要。在加快發(fā)展服務(wù)業(yè)方面，國家以及各個(gè)地區(qū)無不盡心竭力出臺(tái)政策措施引導(dǎo)服務(wù)業(yè)發(fā)展、吸引外來服務(wù)業(yè)資本的入駐，而服務(wù)業(yè)投資環(huán)境的優(yōu)劣決定引資數(shù)量與質(zhì)量。 本文在回顧已有學(xué)者對(duì)于服務(wù)業(yè)投資環(huán)境的相關(guān)研究的基礎(chǔ)上，選出影響服務(wù)業(yè)投資環(huán)境評(píng)價(jià)的相關(guān)因素，運(yùn)用計(jì)量模型對(duì)因素進(jìn)行相關(guān)性分析，篩選出對(duì)服務(wù)業(yè)投資環(huán)境影響較大的因素，構(gòu)建了服務(wù)業(yè)投資環(huán)境評(píng)價(jià)指標(biāo)體系，指標(biāo)體系由地區(qū)人均國民生產(chǎn)總值、第二產(chǎn)業(yè)GDP占比、服務(wù)行業(yè)勞動(dòng)力成本、人力資本存量、城市化水平、市場化水平、法治化水平以及基礎(chǔ)設(shè)施構(gòu)成。運(yùn)用構(gòu)建的服務(wù)業(yè)投資環(huán)境評(píng)價(jià)指標(biāo)體系，分別從省級(jí)層面與地市級(jí)層面測算了各地服務(wù)業(yè)投資環(huán)境現(xiàn)狀及排名。從省級(jí)層面，通過主成分分析法實(shí)際測算了31省、自治區(qū)與直轄市指標(biāo)體系內(nèi)各因素對(duì)于服務(wù)業(yè)投資環(huán)境的貢獻(xiàn)度，各因素按照貢獻(xiàn)度由大到小依次為：市場化水平、城市化水平、人均國民生產(chǎn)總值、法治化水平、服務(wù)業(yè)勞動(dòng)力成本、基礎(chǔ)設(shè)施狀況、第二產(chǎn)業(yè)的GDP占比；在此基礎(chǔ)上，對(duì)各省的服務(wù)業(yè)投資環(huán)境進(jìn)行了量化打分、排名，得出各省服務(wù)業(yè)投資環(huán)境在國內(nèi)的相對(duì)位置。利用相同的方法，從地級(jí)市層面測算了283個(gè)地級(jí)市和4個(gè)盟旗評(píng)價(jià)指標(biāo)體系內(nèi)各個(gè)影響因素對(duì)于服務(wù)投資環(huán)境的貢獻(xiàn)度，各因素貢獻(xiàn)度由大到小依次為：人均國民生產(chǎn)總值、城市化水平、法治化水平、基礎(chǔ)設(shè)施狀況、第二產(chǎn)業(yè)GDP占比、服務(wù)業(yè)勞動(dòng)力成本、人力資本存量、市場化水平；通過各個(gè)因素的系數(shù)矩陣對(duì)于地市級(jí)的城市服務(wù)業(yè)投資環(huán)境進(jìn)行了量化打分、排名，得出各個(gè)地級(jí)市服務(wù)業(yè)投資環(huán)境的相對(duì)位置。 通過對(duì)比后發(fā)現(xiàn)，基于同一指標(biāo)體系，內(nèi)部各個(gè)因素對(duì)于省級(jí)、地市級(jí)服務(wù)業(yè)投資環(huán)境的貢獻(xiàn)度顯著不同；一個(gè)省域自身服務(wù)業(yè)投資環(huán)境如何，省內(nèi)的地級(jí)市服務(wù)業(yè)投資環(huán)境都具有較大的差異。由此也可知，省級(jí)層面出臺(tái)優(yōu)化服務(wù)業(yè)投資環(huán)境的相關(guān)政策對(duì)于地級(jí)市層面來說不具有較強(qiáng)的針對(duì)性；各個(gè)地市級(jí)在完善服務(wù)業(yè)投資環(huán)境時(shí)應(yīng)因地制宜，清晰的認(rèn)知地區(qū)服務(wù)業(yè)投資環(huán)境的現(xiàn)狀，，同時(shí)首先優(yōu)化對(duì)投資環(huán)境改善貢獻(xiàn)度較大的因素，繼而優(yōu)化貢獻(xiàn)度次之的因素，不應(yīng)本末倒置，貢獻(xiàn)度較大的因素?zé)o法得到較好的優(yōu)化情況下，將不具備對(duì)服務(wù)業(yè)招商引資的條件，所出臺(tái)的相關(guān)政策的效果將不理想。
[Abstract]:China's economic development has entered the new normal and the economic transformation and upgrading is at an important historical inflection point. In the complicated situation of "three periods" superposition and economic downward pressure, it is particularly important to push forward the service industry-led transformation and reform.In the aspect of speeding up the development of service industry, the country and every region try their best to introduce policies and measures to guide the development of service industry and attract the capital of foreign service industry, and the quality and quantity of investment environment of service industry determine the quantity and quality of investment.On the basis of reviewing the relevant research on the investment environment of the service industry, this paper selects the relevant factors that affect the investment environment of the service industry, and uses the econometric model to analyze the correlation of the factors.The factors that influence the investment environment of service industry are screened out, and the evaluation index system of investment environment of service industry is constructed. The index system consists of the per capita gross national product of the region, the proportion of GDP in the secondary industry, the labor cost of the service industry and the stock of human capital.Urbanization level, marketization level, rule of law level and infrastructure constitution.By using the evaluation index system of investment environment of service industry, the present situation and ranking of investment environment of service industry are calculated from provincial level and prefectural level.At the provincial level, through principal component analysis, the contribution of all factors in the index system of 31 provinces, autonomous regions and municipalities directly under the Central Government to the investment environment of the service industry is actually calculated.Urbanization level, per capita gross national product (GNP), rule of law level, labor cost of service industry, infrastructure condition, GDP ratio of secondary industry, on the basis of which, the investment environment of service industry in each province is quantified and ranked.The relative position of investment environment of service industry in each province is obtained.Using the same method, this paper calculates the contribution of every factor in the evaluation index system of 283 prefecture-level cities and four league flags to the service investment environment from the level of prefectural level to the city level. The contribution of each factor is from big to small as follows: per capita gross national product (GNP).The urbanization level, the rule of law level, the infrastructure condition, the second industry GDP proportion, the service industry labor cost, the human capital stock, the marketization level;Through the coefficient matrix of each factor, the investment environment of the city service industry is quantified and ranked, and the relative position of the investment environment of the city service industry is obtained.Through comparison, it is found that, based on the same index system, the contribution of internal factors to the investment environment of service industry at provincial and municipal levels is significantly different.The investment environment of service industry in prefectural cities has great difference.From this, we can see that the relevant policies to optimize the investment environment of the service industry at the provincial level do not have strong pertinence for the prefectural level and the city level should take measures according to the local conditions when perfecting the investment environment of the service industry.To clearly understand the current situation of the investment environment in the service industry in the region, at the same time, to optimize the factors that contribute to the improvement of the investment environment, and then to optimize the contribution to the next, should not put the cart before the horse.If the factors with larger contribution degree can not get better optimization, it will not have the conditions to attract investment to the service industry, and the effect of the relevant policies will not be ideal.
【學(xué)位授予單位】：山西師范大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：F719

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