产业生态视角下广东生产性服务业集聚效率研究

发布时间：2018-02-17 01:14

本文关键词： 生产性服务业生态因子生态位空间集聚效率　出处：《深圳大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着第三产业占GDP的比重不断提升,世界范围内出现了由“工业经济”向“服务型经济”转变的大趋势,加快生产性服务业的发展成为经济学界研究的热点和世界各国的共识。发达地区的经验表明,空间集聚是推动生产性服务业快速发展的有效方式。在此背景下,各省陆续加快生产性服务业集聚的步伐,一大批生产性服务业集聚区拔地而起。那么生产性服务业在广东的集聚现状如何?集聚效率怎样?对这些问题的探讨,便是本文的主要目的。本文以产业生态相关理论为指导,运用定性和定量相结合的分析方法研究生产性服务业的集聚问题。(1)在了解广东生产性服务业集聚现状的基础上,采用空间基尼系数测度广东生产性服务业集聚水平,认为集聚现象存在但集聚水平较低,细分行业之间集聚水平差异较大,最高的是商务服务业。然后,构建面板数据对影响生产性服务业集聚的生态因子进行回归分析,发现区域经济发展水平对生产性服务业集聚的促进作用较明显,人力资本对金融业和科学技术研究业的影响系数最高,城市化水平对交通运输业的影响最大,政府行为不利于租赁和商务服务业的发展。(2)基于投入产出表数据,选用区位商和偏离—份额分析法依次评价广东生产性服务业的静态生态位和动态生态位。结果表明市场生态位和资源生态位优势明显,但是在相对稳定的生态位中存在激烈的竞争。(3)选取DEAP2.1软件测算广东生产性服务业集聚的生态效率值,结果显示集聚效率水平总体不高且最近几年下降趋势明显,产业之间集聚效率差异较大,规模报酬方面两极分化严重。随后借助EMS1.3软件对广东各地区生产性服务业超效率值进行排名,前四位依次是广州、深圳、东莞和珠海,揭阳、云浮排在倒数两名,可见效率的高低与区域经济发展状况密切相关。(4)基于理论和实证分析结果,有针对性的提出促进生产性服务业集聚发展的策略建议。
[Abstract]:With the increasing proportion of tertiary industry in GDP, there has been a worldwide trend from "industrial economy" to "service economy". Accelerating the development of producer services has become a hot topic in economic circles and a consensus in the world. The experience of developed regions shows that spatial agglomeration is an effective way to promote the rapid development of producer services. Provinces have been speeding up the pace of producer services agglomeration, a large number of producer services agglomeration areas sprang up. What is the current situation of producer services concentration in Guangdong? What is the efficiency of agglomeration? The main purpose of this paper is to discuss these problems. On the basis of knowing the present situation of producer services agglomeration in Guangdong province, the spatial Gini coefficient is used to measure the agglomeration level of producer services in Guangdong. It is believed that the phenomenon of agglomeration exists but the level of agglomeration is low, the difference of agglomeration level among subdivision industries is great, the highest is the business service industry. Then, the panel data is constructed to analyze the ecological factors that affect the agglomeration of producer services. It is found that the level of regional economic development promotes the agglomeration of producer services more obviously, the influence coefficient of human capital on financial industry and science and technology research industry is the highest, and the influence of urbanization level on transportation industry is the greatest. Government behaviour is not conducive to the development of leasing and business services.) based on input-output table data, The static niche and dynamic niche of producer services in Guangdong were evaluated by location quotient and deviation share analysis. The results showed that market niche and resource niche dominance were obvious. However, there is fierce competition in the relatively stable niche. (3) DEAP2.1 software is selected to calculate the ecological efficiency of producer services agglomeration in Guangdong. The results show that the efficiency level of agglomeration is not high and the trend of decline is obvious in recent years. The industrial agglomeration efficiency varies greatly, and the scale reward is polarized seriously. Then, by means of EMS1.3 software, we rank the superefficiency of producer services in various regions of Guangdong. The top four are Guangzhou, Shenzhen, Dongguan and Zhuhai, and Jieyang, respectively. Yunfu ranks in the bottom two places, so the efficiency is closely related to the development of regional economy. (4) based on the theoretical and empirical analysis results, the paper puts forward some suggestions to promote the cluster development of producer services.
【学位授予单位】：深圳大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F719

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