【摘要】 将面板数据分析与DEA模型相结合,在考虑跨期依赖的前提下采用DDEA模型计算了2011—2017年北京市国有和非国有企业的技术效率,并基于共同前沿模型比较了国有和非国有企业在不同行业内的表现。动态模型能提供一定时期内稳定的效率值,反映了跨期链接,避免产出波动的影响,成为提高生产力的管理关键指标。分析发现国有企业已经在重点建设领域确立了技术优势,而非国有企业则在轻工业和部分高技术产业中效率更高;但无论国有还是非国有企业都已受到中间环节带来的无效率的显著影响。现阶段的主要任务除了提高企业的原始创新能力外,更应注重合理疏导、减少冗余,才能切实提升企业的技术效率。更多还原

【Abstract】 According the conclusion of panel data analysis, intermediate variables are used in dynamic DEA model to calculate the technical efficiency of state-owned(SOEs) and non-state-owned enterprises(NSOEs) in Beijing from 2012 to 2017. Then the performance of SOEs and NSOEs is compared based on the metafrontier model. The dynamic DEA can provide a stable efficiency value in a certain period of time, reflect the cross period link, avoid the impact of output fluctuations, and become a key management indicator to improve productivity. It is found that SOEs have established technological advantages in key areas, while NSOEs are more efficient in light industry and some high-tech industries; however, both SOEs and NSOEs have high inefficiency brought by the intermediate links. At this stage, the main task is not only to improve the original innovation ability of enterprises, but also to pay attention to reduce redundancy and policy guidance.更多还原