2024-2009年上市公司企业知识溢出数据、知识外溢数据（专业化）

Core Insights - The article discusses the impact of knowledge spillover on total factor productivity (TFP) in the context of digital transformation and agglomeration networks among companies [1][4]. Group 1: Knowledge Spillover Metrics - The study constructs two indicators: specialized knowledge spillover (SK_Spillover) and diversified knowledge spillover (DK_Spillover), based on the proximity of firms within a 50 km radius [1][4]. - SK_Spillover reflects the knowledge spillover effect from firms in the same industry, while DK_Spillover indicates the spillover from firms in different industries [1][4]. Group 2: Data and Methodology - The dataset includes over 10,000 samples from 1,343 companies, with raw data, calculation codes, and final results provided for verification [1]. - The methodology is based on the approach outlined in the journal "Management World" by Han Feng, focusing on the relationship between digitalization, agglomeration networks, and knowledge spillover [2]. Group 3: Mechanism Examination - The analysis shows that digital transformation enhances information dissemination and the effectiveness of knowledge production and transfer among firms [4][5]. - The results indicate that both specialized and diversified knowledge spillovers are positively influenced by digitalization and agglomeration networks, with robust effects observed even after addressing endogeneity issues [5]. Group 4: Empirical Results - The empirical data presented in the table shows trends in specialized and diversified knowledge spillover from 2014 to 2024, highlighting variations in spillover levels across different years [6].