北京市生产性服务业的空间集聚及影响因素——基于连续平面的测度方法

发布时间：2018-07-27 16:00

【摘要】：生产性服务业已然成为我国经济发展的新动能,但对其空间集聚状况的研究仍较为薄弱,目前普遍使用的基于离散平面的集聚测度方法则存在可塑性面积单元问题。为此,本文利用第二次全国经济普查中的微观企业数据,通过基于连续平面的测度方法 DO指数,探究北京市域范围内三位数生产性服务业的空间格局及其影响因素。研究表明:(1)不同行业的企业和就业分布表现出多种类型,但大多呈显著的空间集聚,尤其是在较小的空间尺度上显著集聚。(2)各类行业在不同尺度的集聚程度存在明显差异,高端生产性服务业的企业和就业均在小尺度上呈高度集聚的空间格局;而在大尺度上,企业与就业的行业集聚程度排名并不吻合。(3)相较于劳动力池、资源禀赋等因素,知识溢出对生产性服务业的集聚程度具有最为显著的正向影响,且在小尺度内更为明显。这是由于生产性服务业需要以紧凑的空间为载体来促进人际交流并传播缄默知识。
[Abstract]:Producer services have become the new kinetic energy of our country's economic development, but the research on their spatial agglomeration is still relatively weak, and the commonly used agglomeration measurement method based on discrete plane has the problem of plastic area unit. Based on the data of microenterprises in the second national economic census and the do index based on continuous plane, this paper explores the spatial pattern of three-digit producer services in Beijing and its influencing factors. The results show that: (1) there are many types of enterprises and employment distribution in different industries, but most of them show significant spatial agglomeration, especially on a small scale. (2) there are obvious differences in the degree of agglomeration of various industries at different scales. Enterprises and employment in high-end producer services are highly clustered on a small scale, but on a large scale, the degree of industrial agglomeration of enterprises and employment does not match. (3) compared with the labor pool, resource endowment, and other factors, Knowledge spillover has the most significant positive effect on the concentration of producer services, and it is more obvious in small scale. This is because producer services need compact space to promote interpersonal communication and spread tacit knowledge.
【作者单位】：福州大学城乡规划系;福建省城乡规划设计研究院;中国人民大学公共管理学院城市规划系;
【基金】：福州大学科研启动项目“城市空间重构与主导产业发展”(项目编号:510431)
【分类号】：F719

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