基于工业电力数据的区域制造业空间集聚模型

电力数据具有实时性和准确性的优点，越来越多的电网企业开展电力消费数据的应用服务，助力区域产业发展。基于此，提出将工业电力数据应用于区域产业空间集聚研究，综合采用区位商、空间基尼系数，分析单一产业的集聚程度；进一步，采用投入产出模型确定区域产业链的关联关系，再利用共同集聚指数计算产业链的集聚效应。最后采用福建省制造业电力消费数据，对福建省产业空间集聚开展实证分析，并以经济数据对结果进行校验，结果表明：电力数据具有动态监测产业集群空间集聚活动的能力，可为区域产业布局提供数据支撑。

A Spatial Agglomeration Model of Regional Manufacturing Industry Based on Industrial Power Data

The electric power data has the advantages of real-time and accuracy, and more and more power supply companies are developing application services of power consumption data to help regional industry development. Based on this, this paper proposes to apply the industrial power data to the construction of a regional industrial agglomeration model. Firstly, the location quotient and spatial Gini coefficient are comprehensively used to analyze the degree of agglomeration of a single industry. Further, the input-output model is used to determine the relationship of regional industrial chains, and the common agglomeration index is used to calculate the agglomeration effect of the industrial chain. Finally, the power consumption data of the manufacturing industry in Fujian Province is used to make an empirical analysis on the industrial spatial agglomeration of Fujian Province, and the economic data are used to verify the results. The results show that the power data has the ability to dynamically monitor the spatial agglomeration activities of industrial clusters, and can provide data support for regional industrial layout.