泛珠三角制造业集聚态势和集聚合理性研究

发布时间：2018-06-08 03:13

本文选题：泛珠三角区 + 集聚合理性　；参考：《厦门大学》2014年硕士论文

【摘要】：产业集聚是指某一产业在某个地理区域集中,同时伴随生产要素在空间上不断集中的过程。改革开放以来,珠三角地区经济发展迅速,成为我国最具战略意义的区域经济之一,制造业部门也不断在广东等地区集聚,促进了珠三角经济增长。随着经济活动集聚程度的加强和区域间交流层次的加深,珠三角地区扩展为今日的泛珠三角地区。但是,制造业集聚也伴随着要素集中和成本上升,可能会削弱由集聚带来的利润增长,因此研究集聚效率及其合理性具有重要的意义。本文在对产业集聚、规模经济、生产要素拥挤等相关理论研究回顾的基础上,总结了集聚适度和过度的内涵。然后利用各类集聚指标阐述泛珠三角区20个制造业部门的集聚现状和集聚态势。接着利用一系列投入产出项测度这些制造业部门的集聚规模指数,并结合行业利润对集聚的合理性进行判断。依据对合理性的判断结果,将这些制造业分为集聚成长、集聚适度和集聚过度三种类型,分析这三种类型各自的特征并提出应对策略。研究结果表明：泛珠三角区半数以上制造业行业集聚程度较高,主要集中于广东和福建,但是多数行业集聚速度放缓。在此基础上,本文对20个制造业行业进行集聚合理性判断,发现电气机械及器材制造业和通信设备、计算机及其他电子设备制造业等行业集聚空间较大,属于集聚成长型行业,纺织业和通用设备制造业集聚适度,广东的农副食品加工业、烟草制品业、纺织服装、鞋、帽制造业、造纸及纸制品业、黑色金属冶炼及压延加工业和仪器仪表及文化、办公用机械制造业和四川的黑色金属冶炼及压延加工业集聚过度。最后,针对这三种集聚类型,本文分别提出了应对策略：对于集聚过度行业,应通过DEA投影优化分析缩减产业投入规模,实施产业转移；对于集聚适度行业,应通过政策支持和技术创新实现产业优化升级；对于集聚成长型行业,应引入DEA适度预警模型并进行实证检验。
[Abstract]:Since the reform and opening up, the economic development of the Pearl River Delta region has developed rapidly, and has become one of the most strategic regional economies in China. The manufacturing sector has also gathered in Guangdong and other regions, promoting the economic growth of the Pearl River Delta. With the enhancement of economic activity concentration and the deepening of interregional communication levels, the Pearl River Delta region is expanded into the Pan Pearl River Delta area today. However, the agglomeration of manufacturing industry is also accompanied by the concentration of elements and the rising cost, which may weaken the profit growth caused by the agglomeration. Therefore, it is of great significance to study the efficiency and rationality of the agglomeration.
On the basis of the review of the related theories of industrial agglomeration, scale economy and production factor congestion, this paper summarizes the connotation of agglomeration moderation and excessive concentration, and then expounds the agglomeration status and agglomeration situation of the 20 manufacturing sectors in the Pan Pearl River Delta region by using various kinds of agglomeration indicators. Then, it uses a series of input and output items to measure these manufacturing departments. The agglomeration scale index of the door is judged, and the rationality of the agglomeration is judged according to the profit of the industry. According to the judgment of rationality, these manufacturing industries are divided into three types: agglomeration growth, agglomeration moderate and excessive agglomeration. The characteristics of the three types are analyzed and the countermeasures are proposed.
The results show that more than half of the manufacturing industry in the Pan Pearl River Delta region has a high degree of agglomeration, mainly concentrated in Guangdong and Fujian, but most of the industries have slowed down. On this basis, this paper makes a rational judgement on aggregation of 20 manufacturing industries, and finds electrical machinery and equipment manufacturing and communications equipment, computers and other electronics. The equipment manufacturing industry and other industries have large agglomeration space, belong to the agglomeration growth industry, the textile industry and the general equipment manufacturing industry gather moderately, Guangdong's agricultural and sideline food processing industry, the tobacco products industry, the textile clothing, the shoes, the hat manufacturing industry, the paper and paper products, the black metal smelting and calendering processing industry and the instrument and culture, the office machinery manufacture The black metal smelting and the calendering and processing industry in Sichuan are overly gathered. Finally, in view of these three types of agglomeration, this paper puts forward the Countermeasures: for the agglomeration of excessive industry, the scale of industrial input should be reduced and the industrial transfer should be reduced by the DEA projection optimization analysis, and the policy support and technological innovation should be adopted for the agglomeration moderate industry. To achieve industrial optimization and upgrading, we should introduce DEA appropriate early warning model and conduct empirical tests for agglomeration growth industries.
【学位授予单位】：厦门大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F427

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