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山东省生产性服务业集聚发展研究

发布时间:2018-12-31 18:34
【摘要】:全球“服务经济”时代的到来,生产性服务业成为世界各国新的经济增长点。中国经济在快速发展、经济结构优化调整中,开始走向服务经济时代,生产性服务业的发展为中国经济的发展起着重要的助推作用。作为中国的经济大省,山东省无论其GDP总量还是服务业产值总量在全国名列前茅,生产性服务业对山东服务业生产总值的增加做出了巨大贡献。同时,集聚特性作为生产性服务业的重要特征,研究山东省生产性服务业的集聚对于构建集聚体系推进集聚发展具有重要意义。文章首先阐述论文的研究背景和意义、文章的技术路线图,通过界定生产性服务业的相关概念,以产业集聚理论为理论研究基础,主要研究山东省生产性服务业的集聚发展现状,运用空间基尼系数和区位商指数来衡量集聚水平,考虑影响集聚的因素并运用面板数据进行空间计量实证研究,并以此为基础,得出结论提出对策建议。通过研究山东生产性服务业集聚发展现状和集聚水平以及影响集聚的因素发现:(1)发展现状:从总量来看,生产性服务业增加值较高,且总量在连续增长;从比重来看,传统服务业比重较高,但是比重在不断下降,现代新兴服务业比重相对较低,但比重在不断上升,新兴生产性服务业的快速发展将成为未来经济发展的新支柱;集聚区现状来看,山东省集聚区建设数量众多,各种集聚区形成了规模,细分行业集聚区选择具有区域优势的地区集聚,17地市集聚区分布不均,集聚区主要分布在经济发展良好的济南、青岛、烟台等地区。(2)集聚水平:根据空间基尼系数可知,山东省生产性服务业出现集聚现象但程度较低,并且各行业集聚水平存在较大差别,交通运输仓储及邮政业、租赁与商务服务业、科学研究技术服务和地质勘察业集聚程度相对较高。根据区位商测算结果,从山东相对于全国的区位商结果看,山东集聚程度较低,特别是山东省现代生产性服务业的发展与全国水平相比严重滞后,地区专业化程度较低;从山东17地市相对于山东省区位商的结果看,济南、青岛、烟台等经济发展较好的地市生产性服务业集聚度较高,且6大细分行业在省内17地市集聚差距较大。(3)实证部分:首先选择影响集聚的因素,通过传统面板数据模型和空间计量模型得出,省内市场规模、信息化水平、知识溢出、城市化水平是影响生产性服务业集聚的主要因素。文章的研究目的就是通过以上分析,对山东省生产性服务业发展和集聚做出总结,探讨影响集聚的重要因素,从着力发展现代新兴产业、重视政府作用、发挥中心城市辐射带动作用、促进生产性服务业与城市化互动发展四个方面促使集聚向更高水平发展,为山东生产性服务业集聚发展提供对策建议。
[Abstract]:With the arrival of the global "service economy", producer services have become a new economic growth point all over the world. With the rapid development of Chinese economy and the optimization and adjustment of economic structure, the development of producer service industry plays an important role in promoting the development of Chinese economy. As a big economic province in China, Shandong Province ranks first in China in terms of total GDP and total output value of service industry, and producer service industry has made great contribution to the increase of Shandong service industry gross domestic product. At the same time, as an important feature of producer services, it is of great significance to study the agglomeration of producer services in Shandong province for building agglomeration system and promoting agglomeration. Firstly, this paper expounds the research background and significance of the paper, the technical roadmap of the paper, and defines the related concepts of producer service industry, and takes the industrial agglomeration theory as the theoretical research foundation. This paper mainly studies the present situation of producer service industry agglomeration in Shandong Province, uses spatial Gini coefficient and location quotient index to measure agglomeration level, considers the factors that affect agglomeration, and carries on spatial econometric empirical research with panel data. A conclusion is drawn and some suggestions are put forward. By studying the present situation and level of producer service agglomeration in Shandong province and the factors influencing agglomeration, the following conclusions are found: (1) the present situation of development: from the total value, producer service industry added value is higher, and the total amount is increasing continuously; From the perspective of proportion, the proportion of traditional service industry is higher, but the proportion is declining, the proportion of modern emerging service industry is relatively low, but the proportion is rising, the rapid development of emerging producer services will become a new pillar of economic development in the future. According to the present situation of the agglomeration area, Shandong Province has a large number of agglomeration areas, various agglomeration areas have formed the scale, the subdivision industry agglomeration areas choose the regional agglomeration with regional advantages, and 17 cities and cities are unevenly distributed in the agglomeration areas. The agglomeration area is mainly distributed in Jinan, Qingdao, Yantai and other regions with good economic development. (2) agglomeration level: according to spatial Gini coefficient, the producer service industry in Shandong Province has the phenomenon of agglomeration, but the degree is relatively low. Moreover, there are great differences in the agglomeration level of different industries, such as transportation, warehousing, postal service, leasing and business service, scientific research and technical services, and geological survey, and the degree of agglomeration is relatively high. According to the result of location quotient, Shandong has lower agglomeration degree than the whole country, especially the development of modern producer service industry in Shandong province lags behind the national level, and the degree of regional specialization is low. From the results of 17 cities in Shandong Province relative to the location quotient of Shandong Province, Jinan, Qingdao, Yantai and other cities with better economic development have a higher concentration of producer services. And six subdivision industries in 17 cities in the province agglomeration gap is large. (3) empirical part: first of all, select the factors that affect the agglomeration, through the traditional panel data model and spatial measurement model, the province market size, information level. Knowledge spillover, urbanization level is the main factor affecting producer services agglomeration. The purpose of this paper is to sum up the development and agglomeration of producer services in Shandong Province through the above analysis, to discuss the important factors that affect the agglomeration, to focus on the development of modern emerging industries and to attach importance to the role of the government. Giving full play to the role of central city radiation, promoting the interactive development of producer services and urbanization to promote the agglomeration to a higher level, to provide countermeasures and suggestions for the development of producer services agglomeration in Shandong.
【学位授予单位】:山东财经大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:F719

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