Assessing Social and Economic Performance in Beijing's Central Business District: A Study Based on Industrial Cluster Theory
Keywords:
Central Business District (CBD), Industrial cluster theory, Socio-economic performance evaluation, Agglomeration economies, Knowledge spilloversAbstract
This research study employs industrial cluster theory as a framework to evaluate the social and economic performance of Beijing's Central Business District (CBD). Through a combination of qualitative analysis and quantitative assessments, we examine the dynamics of industrial clustering within the CBD and its impact on various socio-economic indicators. Our findings shed light on the clustering patterns, sectoral composition, and network dynamics of industries within the CBD, highlighting the role of agglomeration economies and knowledge spillovers in driving economic growth and innovation. Furthermore, we assess the social implications of industrial clustering, including its effects on employment, income distribution, and urban development. Insights gleaned from this study provide valuable perspectives for policymakers, urban planners, and business leaders seeking to leverage the potential of industrial clustering for sustainable socio-economic development in Beijing's CBD and beyond.