Regional technological innovation and green economic efficiency based on DEA model and fuzzy evaluation

被引：39
作者：
Li, Qinyang [1 ]
机构：
[1] Yantai Univ, Sch Econ & Management, Yantai, Peoples R China
来源：
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2019年 / 37卷 / 05期
关键词：
DEA model; Fuzzy evaluation; Technological innovation; Particle swarm optimization; PERSONALIZED RECOMMENDATION; DESIGN;
D O I：
10.3233/JIFS-179220
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
With the advent of green economy, it is of great significance to objectively calculate the green innovation efficiency of provincial industrial enterprises in China for achieving sustainable economic development. In this paper, the author analyzes the regional technological innovation and green economic efficiency based on DEA model and fuzzy evaluation. Based on the latest development of traditional efficiency and productivity analysis theory, this study calculates the green innovation efficiency of 30 provincial industrial enterprises by using SBM model, while considering the relaxation of economic input-output problem. The results show that the SBM model improves the accuracy and authenticity of the economic efficiency evaluation of green innovation. The efficiency of green economy in most provinces is on the rise. At the same time, the intensity of R&D and industrial structure play a positive role in improving the efficiency of green economy. Through cluster analysis, the differences and causes of green economic efficiency of regional industrial enterprises are analyzed. In addition, the provinces should also consider the factors affecting the green economic efficiency of industrial enterprises, implement the innovation-driven development strategy in an all-round way, and promote the development of green economy.
引用
收藏
页码：6415 / 6425
页数：11
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