基于上海工商局的企业数据,本文采用密度梯度法,对不同产业的空间分布形态进行测算和比较,并探讨影响密度梯度的因素。结果显示,总体而言上海绝大多数产业的空间分布呈现距离衰减形态,即离城市中心越远,密度越低;不同产业之间密度梯度差异很大,总体而言生活服务业梯度较大,生产者服务业次之,制造业最低;此外,就业规模较小和从业人员受教育程度较高的产业密度梯度也较大。研究揭示了城市空间结构与其产业结构之间存在联系,有助于更好地制定城市产业政策和规划政策。
Urban spatial restructuring in Chinese cities has been a hot research area in the academic world, as there are plenty of literatures on the suburbanization of population, manufacturing and retailing in large cities in China. This paper aims to research on the density gradient of industries' spatial distribution in shanghai and the its influencing factors. On the basis of the Enterprise Database maintained by Shanghai Administration of Industry and Commerce in the period of First Economic Census in the end of 2004, this study employs the density gradient method to analyze the spatial distribution pattern across different industries in Shanghai. The factors which influence the density gradients are also investigated, including type of the industry, employment size of the industry and human capital in the industry. The results show that most of the industries in Shanghai unfolded "density distance-decay" spatial patterns with negative density gradients. However, across the industries the density gradients varied remarkably. Some chemical products related industries demonstrate positive density gradients. Among the industries, personal services are more centralized than producer services, and producer services are more centralized than manufacturing industries. This pattern is different from what has been observed in the cities in Western countries, which may be attributed to the lower development stage of producer services in Shanghai and the special travelling mode in China. Besides, industries with larger employment size and more high-educated employees are more likely to centralize, which is consistent with the observations in Western cities. Finally, the paper summarizes the main findings, discussions of the linkages between industrial development and spatial restructuring within the cities, and explorations of the policy implications of this study in optimizing urban spatial structure in Chinese cities.