集聚的测度方法评述:基于前沿文献的研究

发布时间：2019-06-10 10:52

【摘要】：随着集聚理论和实证研究的日益深入,不断涌现出新的测度经济活动空间集聚的方法。不同测度方法的构建原理和适用性不同,选择恰当的集聚测度方法是准确描述集聚现象的基础。文章利用历史归纳法,根据集聚测度方法的发展脉络分为第一代集聚指数、第二代集聚指数和第三代集聚指数,探究其背后的构建原理和演变逻辑。在此基础上,将不同的集聚测度方法分为离散空间下的聚类指数法和连续空间下的距离指数法,二者在空间属性、数据要求、估计结果和实际应用等方面存在差异,基于聚类的指数反映了特定空间单元产业集聚程度,基于距离的指数侧重于产业集聚的空间范围,其本质区别在于MAUP(可塑地理单元问题)对集聚分析的影响。不同集聚测度方法仅反映了产业集聚现象的部分内涵,理想的测度产业集聚程度的方法有待进一步研究。
[Abstract]:With the deepening of agglomeration theory and empirical research, new methods to measure the spatial agglomeration of economic activities have emerged. The construction principle and applicability of different measurement methods are different. Choosing the appropriate agglomeration measure method is the basis of accurately describing the agglomeration phenomenon. Based on the historical induction method, this paper divides it into the first generation agglomeration index, the second generation agglomeration index and the third generation agglomeration index according to the development of the agglomeration measurement method, and probes into the construction principle and evolution logic behind it. On this basis, different agglomeration measure methods are divided into clustering index method in discrete space and distance index method in continuous space. There are differences in spatial attributes, data requirements, estimation results and practical applications. The index based on clustering reflects the degree of industrial agglomeration of specific spatial units, and the index based on distance focuses on the spatial range of industrial agglomeration. The essential difference lies in the influence of MAUP (plastic geographical unit problem) on agglomeration analysis. Different agglomeration measurement methods only reflect part of the connotation of industrial agglomeration phenomenon, and the ideal method to measure the degree of industrial agglomeration needs to be further studied.
【作者单位】：浙江大学区域与城市发展研究中心;浙江大学经济学院;
【分类号】：F272.13

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