Beijing’s urban development has moved from the era of expansion to renewal. The exploration of industrial spatial evolution laws aims to tackle the major theoretical and practical problems in Beijing’s high-quality urban development. Few studies have analyzed the spatial and temporal patterns of industrial spatial aggregation based on long time-series data and fine-grained spatial scale industrial data sets. Based on the multitype industry data set from 2006 to 2020, this study uses a spatial similarity model and a circle analysis method to deeply analyze the rule and circle differentiation characteristics of Beijing’s industrial dominant types and aggregation levels. The results show that (1) the spatial similarity index of Beijing industry increases, showing the general characteristics of the continuous enhancement of the degree of aggregation. There exists a high aggregation degree and an obvious aggregation trend within the service industry and a low aggregation degree between the service and manufacturing industries. (2) The spatial aggregation of producer and living services is always high, and the aggregation of public services or cultural and creative industries with other services increases significantly. (3) The differential distribution of spatial circles and the slow process of aggregation are the main reasons for the spatial separation of the service and manufacturing industries. (4) Beijing’s industrial spatial aggregation shows a significant ring pattern, and the dominant types and aggregation levels of industrial evolution vary in different circles. The research conclusions scientifically support the optimization of the capital’s spatial structure and its high-quality spatial development.
Wang et al. (Fri,) studied this question.