【摘要】 近年来,广东省优势传统产业集聚比较优势明显减弱,也未真正形成以科技产业创新为核心的竞争优势。本文采用区位熵指标对广东省内9个地级市21个行业的集聚度进行测算,结果表明:9所城市中,深圳与佛山产业集聚程度较高,肇庆市产业集聚度较低,并且主要是以通信、电气与交通运输制造产业为主的产业集聚。在此基础上建立多元回归模型并引入3个占地区工业总产值较大的制造行业区位熵,对产业集聚与经济增长展开实证研究,结果表明:产业集聚对经济增长具有一定显著影响,但行业间效果存在差异。本文最后为广东省产业集聚发展提出了相关建议。更多还原

【Abstract】 In recent years, the comparative advantage of traditional industry agglomeration in Guangdong Province has been significantly weakened, and the competitive advantage with the innovation of science and technology industry as the core has not yet formed. Therefore, this paper uses the location entropy index to calculate the agglomeration degree of 21 industries in 9 prefecture level cities in Guangdong province. The results show that among the 9 cities, Shenzhen and Foshan have a higher degree of industrial agglomeration, while Zhaoqing has a lower degree of industrial agglomeration, which is mainly composed of communication, electric and transportation manufacturing industries. On this basis, this paper establishes a multiple regression model and introduce three manufacturing industry location entropy, which account for a large proportion of the total industrial output value of the region, to carry out an empirical study on industrial agglomeration and economic growth. The results show that industrial agglomeration has a certain significant impact on economic growth, but there are differences in the effects among industries. Finally, this paper provides some suggestions for the development of industrial agglomeration in Guangdong province.更多还原