基于DEA模型的全要素生产率提高路径研究

Research on Total Factor Productivity Improvement Path Based on DEA Model

全要素生产率是衡量地区技术水平对经济发展反映程度的重要指标,为促进中国经济高质量发展,党中央提出了供给侧结构性改革等相关措施,对产业结构进行调整,提高全要素生产率.为寻求全要素生产率提高路径以及解决产能过剩、实现资源优化配置问题.以安徽省为例,首先选取2011~2018年安徽省地方财政的教育、科学技术等5个方面的支出作为全要素生产率的投入指标,安徽省地区生产总值作为全要素生产率的产出指标,运用MATLAB软件建立灰色预测模型对2020年安徽省全要素生产率的投入和产出指标值进行预测;其次运用LINGO软件,依据投入和产出指标建立DEA模型评价2015~2018年和2020年安徽省全要素生产率;最后从教育、科学技术等方面的投入力度对2020年安徽省全要素生产率的提高和过剩产能有效利用提出合理化的建议.

Total factor productivity is an important indicator of the extent to which regional technological levels reflect economic development. To promote the high-quality development of China’s economy, the related measures such as supply-side structural reforms is proposed by the Party central committee to adjust the industrial structure and improve total factor productivity. In order to study the path of improving total factor productivity, in this article, taken Anhui Province as an example, first, five areas of education, science and technology, and other expenditures in Anhui Province from 2011 to 2018 were selected as input indicators of total factor productivity. The value is used as the output indicator of total factor productivity, and the gray prediction model is established using MATLAB software to predict the input and output indicators of total factor productivity in Anhui Province in 2020. Secondly, using LINGO software, based on the input and output indicators, a DEA model to study the path to improve TFP is established in Anhui Province in 2020. Finally, from the investment in education, science and technology, etc., the reasonable suggestions for the improvement of the total factor productivity in Anhui Province in 2020 is put forward.