战略性新兴产业产能效率与政府补助行为——基于新一代信息技术产业上市公司的实证分析

发布时间：2018-05-09 16:07

本文选题：新一代信息技术产业 + 产能效率　；参考：《学术研究》2017年03期

【摘要】：通过DEA分析法及回归分析法研究政府补助行为对以新一代信息技术产业为典型代表的战略性新兴产业产能效率的影响,研究结果表明,2011—2014年分别有92%、92%、93%、85%的样本企业的产能效率为非DEA有效,效率平均值分别为0.429、0.469、0.416、0.563,产能效率值有效性较差;新一代信息技术产业确实存在整体产能效率不足的问题,政府补助行为整体上与新一代信息技术产业的产能效率存在显著的负相关关系;不同类型的政府补助行为对整个产业内部RD投入的影响存在显著差异,政府直接补助与产业产能效率之间存在显著负相关关系,政府间接补助对产业产能效率具有不显著的正向影响;产业产能效率与国有控股比例、企业经济贡献率存在显著的正向影响,而与地区研发程度具有不显著的正向影响。
[Abstract]:By means of DEA analysis and regression analysis, this paper studies the effect of government subsidy behavior on productivity efficiency of strategic emerging industries, which are typically represented by the new generation of information technology industries. The results show that between 2011 and 2014, 922 / 932 / 935% of the sample enterprises are non-DEA effective, with an average efficiency of 0.429 / 0.469 / 0.416 / 0.563.The effectiveness of productivity efficiency is poor; the new generation of IT industry does not have the problem of overall productivity efficiency. There is a significant negative correlation between the government subsidy behavior and the productivity efficiency of the new generation IT industry, and there are significant differences in the impact of different types of government subsidy behavior on the R D input within the whole industry. There is a significant negative correlation between government direct subsidy and industrial productivity efficiency, and indirect government subsidy has no significant positive effect on industrial productivity efficiency. There is a significant positive impact on the economic contribution rate of enterprises, but not a significant positive impact on the degree of regional R & D.
【作者单位】：广州大学经济与统计学院;
【分类号】：F49;F812.45

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