当前位置:主页 > 经济论文 > 服务经济论文 >

山东省生产性服务业集聚及对制造业作用的实证研究

发布时间:2018-01-12 13:16

  本文关键词:山东省生产性服务业集聚及对制造业作用的实证研究 出处:《河北经贸大学》2014年硕士论文 论文类型:学位论文


  更多相关文章: 生产性服务业 集聚 对制造业作用 实证研究


【摘要】:上个世纪80年代以来,主要西方发达国家纷纷步入了“服务经济”时代,其中现代生产性服务业发展迅速,成为经济增长的重要推动力,而我国近年来生产性服务业也发展比较迅速。在生产性服务研究方面,国内外学者主要是从生产性服务业的内涵及分类,生产性服务业发展现状、影响因素、竞争力评价,生产性服务业与经济增长、城市发展关系,生产性服务业与制造业的关系,以及生产性服务业集聚、空间分布、区域比较与分工等几大方面做了全面研究。目前国内学者对生产性服务业集聚的研究主要集中于京津冀、长三角和珠三角三大区域,对山东省生产性服务业集聚问题则很少有人涉及,而且学者们对生产性服务业集聚对制造业效率作用问题的研究较少。因此,本文选择了山东省生产性服务业集聚问题作为研究对象,并对山东省生产性服务业集聚对制造业劳动生产率的作用问题进行实证研究。 本篇论文正文主要分成六大部分。第一部分阐述了选择这个研究课题的背景及意义、主要内容及研究方法以及可能的创新点与不足之处等问题。第二部分主要是生产性服务业内涵及分类、生产性服务业集聚有关问题以及生产性服务业与制造业关系等相关研究的文献综述。通过总结前人的研究文献并结合各服务业细分行业的中间需求率,把生产性服务业界定为交通运输仓储邮政业、信息传输计算机服务软件业、批发零售业、金融业、租赁与商务服务业和科学研究技术服务地质勘查业等六大行业。第三部分主要利用增加值、就业人数等方面的数据,通过图片和表格等分析工具,分析了山东省生产性服务业的整体发展状况。结果发现山东省生产性服务业内部结构极其不合理,与广东、江苏、浙江等沿海经济发达省份相比,批发零售业与交通运输仓储邮政业两个传统劳动密集型服务行业占比过高;而其他四个现代服务行业占比则较低,发展比较落后。第四部分分别利用首位度指数、空间基尼系数、区位商等三个指标测度了山东省生产性服务业的集聚状况。结果显示山东省的租赁与商务服务业、交通运输仓储邮政业以及科学研究技术服务地质勘查业三个生产性服务行业的集聚程度较高;在集聚的城市方面,济南六大生产性服务行业的集聚程度均较高,在全省范围内全面领先,,而青岛、烟台、东营、日照、临沂等城市也都有多个或某个生产性服务行业的集聚水平较高。第五部分利用柯布道格拉斯生产函数的变形公式对山东省生产性服务业集聚与制造业关系进行了实证分析。结果发现生产性服务业整体集聚程度对各城市制造业劳动生产率没有显著影响;而分行业中的科学研究技术服务和地质勘查业与租赁和商务服务业的集聚水平则对制造业劳动生产率有显著影响,但这种影响作用还比较小。第六部分总结了全文的主要结论,并对山东省生产性服务业的发展提出一些对策建议。
[Abstract]:In 80s the last century, major western developed countries have entered the era of "service economy", the development of modern productive service industry rapidly, has become an important driving force of economic growth, while China's producer service industry in recent years is rapid development. In the aspect of production services, domestic and foreign scholars is mainly the connotation and classification from the production of the service industry, competitiveness evaluation of the status quo, development influencing factors of producer services, and producer services and economic growth, the relationship between city development and the relationship between producer services and manufacturing, as well as the production and service industry agglomeration, spatial distribution, regional comparison and several aspects to do a comprehensive division study. At present, domestic scholars to study the agglomeration of producer services mainly concentrated in the Beijing Tianjin Hebei, Yangtze River Delta and Pearl River Delta region of the three, the problem of producer services agglomeration in Shandong province is rarely involved And, the scholars and agglomeration effects on the manufacturing efficiency problem of less productive service industry. Therefore, the producer services agglomeration in Shandong Province as the research object, and the producer services agglomeration in Shandong province the role of labor productivity in manufacturing industry for empirical research.
This thesis is mainly divided into six parts. The first part describes the background and significance of choosing this research topic, the main contents and research methods and possible innovations and deficiencies. The second part is the connotation and classification of producer services, relevant literature review of the producer service industry agglomeration and production related problems the relationship between services and manufacturing etc.. By summarizing the previous research literature and combining with the service industry segments intermediate demand rate, the productive service industry is defined as transportation and storage sector information transmission, computer services and software industry, wholesale and retail, financial services, leasing and business service industry and scientific research technical service of geological prospecting industry and other six industries. The third part mainly use the added value, employment and other aspects of the data, through the pictures and forms analysis tools, analysis of the mountain The overall development of the East productive service. The internal structure of producer services in Shandong province is extremely unreasonable, with Guangdong, Jiangsu, Zhejiang and other economically developed coastal provinces compared, wholesale and retail industry and transportation and storage sector two traditional labor-intensive service industry proportion is too high; while the other four the modern service industry proportion is low, development is relatively backward. The fourth part uses the first index, spatial Gini coefficient, cluster location quotient three index of producer services in Shandong province. The result shows that Shandong province leasing and business services, transportation, warehousing and postal industry geological scientific research and technology three service exploration industry production service industry agglomeration degree is high; in the city agglomeration, agglomeration of producer service industry in Ji'nan six were higher in the province within the scope of the whole The surface lead, and Qingdao, Yantai, Dongying, Rizhao, Linyi city also has a high level of agglomeration or a plurality of productive service industry. The fifth part deformation formula by using Cobb Douglas production function in Shandong Province, the agglomeration of producer services and manufacturing industry relationship in the empirical analysis. The results showed that the production of the service industry agglomeration degree overall labor productivity has no significant effect on the manufacturing industry of the city; the industry agglomeration level of scientific research and technical services and geological prospecting and leasing and business services are labor in manufacturing production rate has a significant effect, but this effect is very small. The sixth part summarizes the main conclusions the full text, and put forward some suggestions on the development of producer services in Shandong province.

【学位授予单位】:河北经贸大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:F427;F719

【引证文献】

相关期刊论文 前1条

1 尉松山;;关于现代生产性服务业主导下的经济增长分析[J];财经界(学术版);2016年23期



本文编号:1414420

资料下载
论文发表

本文链接:https://www.wllwen.com/jingjilunwen/fwjj/1414420.html


Copyright(c)文论论文网All Rights Reserved | 网站地图 |

版权申明:资料由用户af67e***提供,本站仅收录摘要或目录,作者需要删除请E-mail邮箱bigeng88@qq.com