基于Malmquist-DEA模型的科技金融绩效评价-以广东省为例

Performance Evaluation of Technology Finance Based on Malmquist-DEA Model-A Case Study of Guangdong Province

摘要:

科技的进步推动经济的蓬勃发展，而科技类产业的成长壮大又紧紧依赖于金融这一要素的推进。本文基于指标选取多项原则选取指标并进行因子分析以符合DEA模型投入产出指标准则。鉴于Malmquist 指数能够分析不同时期决策单元的变化并剔除了技术进步因素，相比截面数据可得到更为准确的结果。本文引入Malmquist指数，结合BCC-DEA模型，以更详尽地分析全国各省市、广东省以及广东省各地级市多时期的科技金融结合效率。研究发现广东省科技金融发展水平处于全国领先位置，但省内科技金融发展处于不平衡状况，建议广东省结合自身情况制定具备自身的特色科技金融发展策略，加强科技金融人才培养。

Abstract:

The progress of science and technology promotes the vigorous development of economy, while the growth of science and technology industry depends on the advancement of finance. This paper selects indexes based on several principles of index selection and conducts factor analysis to meet the input-output index requirements of DEA model. Malmquist index can analyze the changes of multi-period decision-making units and eliminate the factors of technological progress. Compared with cross-sectional data, it can obtain more accurate results. In this paper, Malmquist index and BCC-DEA model are introduced to analyze the multi-period technology and finance integration efficiency of various provinces and cities in China, Guangdong Province and various prefecture-level cities in Guangdong Province. The study found that the development level of technology and finance in Guangdong Province is in the leading position in the country, but the development of technology and finance in Guangdong Province is unbalanced. It is suggested that Guangdong Province formulate characteristic technology and finance development strategies according to its own situation and strengthen the training of talents in technology and finance.