| 中国有色金属矿采选业上市公司经营效率与影响因素研究 |
| 投稿时间：2020-07-05 修订日期：2022-01-16 点此下载全文 |
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| 中文摘要:利用2014-2018年中国有色金属矿采选业上市公司的面板数据,采用DEA模型方法测算中国有色金属矿采选业上市公司的技术效率、纯技术效率及规模效率,并引入tobit模型分析了影响企业效率的主要因素。结果表明我国大多数有色金属矿采选行业上市公司的综合效率处于较高水平,五年的平均值为0.815,且大部分已经处于规模效应递减之中。同时发现上市时间、企业规模与有色金属矿采选业上市公司的效率成明显正相关,而固定资产净额与之负相关。基于此提出了改善中国色金属矿采选业上市公司经营效率的政策建议。 |
| 中文关键词:有色金属上市公司 经营效率 DEA模型 tobit回归 影响因素 |
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| Study on the operating efficiency and influencing factors of Listed Companies in China |
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| Abstract:Based on the panel data of Listed Companies in China"s nonferrous metal mining and beneficiation industry from 2014 to 2018, DEA model is used to calculate the technical efficiency, pure technical efficiency and scale efficiency of Listed Companies in China"s nonferrous metal mining and beneficiation industry, and Tobit model is introduced to analyze the main factors affecting the efficiency of enterprises. The results show that the comprehensive efficiency of most listed companies in China"s nonferrous metal mining and beneficiation industry is at a high level, with an average value of 0.815 in five years, and most of them have been in the decline of scale effect. At the same time, it is found that the time and scale of listing are positively related to the efficiency of Listed Companies in nonferrous metal mining and beneficiation industry, while the net fixed assets are negatively related to it. Based on this, some suggestions are put forward to improve the operation efficiency of Listed Companies in China"s color metal mining and beneficiation industry. |
| keywords:Non ferrous metals listed companies Efficiency DEA model Tobit regression influence factor |
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