文章基本信息

标题：INCENTIVE MECHANISM OF LOW CARBON ECONOMIC GROWTH QUALITY BASED ON FUZZY CLUSTER ANALYSIS
本地全文：下载
作者：Haiyan Zhou
期刊名称：Fresenius Environmental Bulletin
印刷版ISSN：1018-4619
出版年度：2020
卷号：29
期号：4
页码：2350-2356
语种：English
出版社：PSP Publishing
摘要：This paper combines the sequential DEA and BP neural network at technology frontier to build a three-stage model- stratification, classification and prediction- for the development of Chinese provincial low-carbon economy, so as to evaluate the performance of low-carbon economy. Based on this, the dynamic development path of low-carbon economic efficiency is planned to achieve gradual improvement. The results show that due to differences in economic development and resource endowments, the ability of improving low-carbon economic efficiency varies from province to province. It is easier to achieve incremental improvement according to the low-carbon economic capacity of each province, especially for provinces with low efficiency at present; to plan an effective quantitative path for each provincial region to achieve the GDP carbon intensity target proposed in the 13th five-year plan and put forward reasonable suggestions for each level.
关键词：Fuzzy clustering;Low-carbon economy;Quality of growth;Incentive mechanism