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上市公司企业异质性分组
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2000-2024年上市公司企业异质性分组变量数据
Sou Hu Cai Jing· 2025-07-31 16:32
Core Insights - The article discusses the heterogeneity grouping variables of listed companies, including data from various stock exchanges and industry types such as heavily polluting industries, high-tech industries, technology-intensive, asset-intensive, and labor-intensive sectors [1][2]. Data Overview - The dataset covers listed companies from 2000 to 2024, including various indicators such as stock code, year, industry code, and whether the company is listed on specific exchanges like Shenzhen, Shanghai, and others [2]. - The data includes classifications for pollution levels, ownership types, and whether the company belongs to high-tech or specific industry categories [2]. Methodology - The grouping and regression analysis utilize official standards from the China Securities Regulatory Commission and other recognized literature to ensure the validity of the heterogeneity tests [1]. - The analysis requires that sample attributes are grouped appropriately, and inter-group coefficient differences must pass significance tests [1].