[1]朱家明,潘紫媗.安徽金融集聚与生态效率评价及耦合关系的研究[J].南京师范大学学报(工程技术版),2020,20(03):087.[doi:10.3969/j.issn.1672-1292.2020.03.014]
　Zhu Jiaming,Pan Zixuan.Research on the Evaluation and Coupling Relationship of FinancialAgglomeration and Ecological Efficiency in Anhui Province[J].Journal of Nanjing Normal University(Engineering and Technology),2020,20(03):087.[doi:10.3969/j.issn.1672-1292.2020.03.014]
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安徽金融集聚与生态效率评价及耦合关系的研究
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南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
20卷
期数:
2020年03期
页码:
087
栏目:
管理科学与工程
出版日期:
2020-09-15

文章信息/Info

Title:
Research on the Evaluation and Coupling Relationship of FinancialAgglomeration and Ecological Efficiency in Anhui Province
文章编号:
1672-1292(2020)03-0087-06
作者:
朱家明1; 潘紫媗2
(1.安徽财经大学统计与应用数学学院,安徽 蚌埠 233030)(2.安徽财经大学金融学院,安徽 蚌埠 233030)
Author(s):
Zhu Jiaming1; Pan Zixuan2
(1.School of Statistics and Applied Mathematics,Anhui University of Finance and Economics,Bengbu 233030,China)(2.School of Finance,Anhui University of Finance and Economics,Bengbu 233030,China)
关键词:
金融集聚; 生态效率; 耦合关系; 熵值法; 变异系数法; 评价指标体系
Keywords:
financial agglomeration; ecological efficiency; coupling relationship; entropy method; coefficient of variation method; evaluation index system
分类号:
F299.27; X22
DOI:
10.3969/j.issn.1672-1292.2020.03.014
文献标志码:
A
摘要:
从规模、效率、环境和污染、效益、处理角度分别构建金融集聚与生态效率的评价指标体系,利用熵值法计算各指标权重及2010—2018年安徽金融集聚与生态效率的综合分数,分析各影响因素变化程度,并基于变异系数法计算两者耦合度及优化后的耦合协调度. 研究得出:影响金融集聚的最大因素是金融规模,权重为 0.424,而影响生态效率的最大因素是环境污染,权重为0.572; 安徽金融集聚程度逐年提高,而生态效率具有较大波动,但整体处于中等偏上水平; 2010—2018年安徽金融集聚与生态效率耦合度不断提高,等级从低度耦合向高度耦合不断增级,耦合协调水平从严重失调向高级协调发展,且提高程度更为精确与稳定. 最后对如何有效增强金融集聚与生态效率耦合关系提出了相关建议.
Abstract:
From the perspectives of scale,efficiency,environment and pollution,efficiency,and treatment,evaluation index systems for financial agglomeration and ecological efficiency are constructed,and the entropy method is used to calculate the weight of each indicator and the comprehensive scores of Anhui financial agglomeration and ecological efficiency from 2010 to 2018. The degree of influencing factors changes,and the coupling degree of the two and the optimized coupling coordination degree are calculated based on the coefficient of variation method. The study concludes that the largest factor affecting financial agglomeration is the financial scale with a weight of 0.424,and that the largest factor affecting ecological efficiency is environmental pollution. The weight is 0.572; the degree of financial agglomeration in Anhui is increasing year by year,and the ecological efficiency fluctuates greatly,but the overall level is at a moderately high level; from 2010 to 2018,the degree of coupling between financial agglomeration and ecological efficiency in Anhui continued to increase,and the level has changed from low to high. The degree of high degree of coupling is constantly increasing,and the level of coupling and coordination has developed from a serious disorder to a high degree of coordination,and the degree of improvement has become more accurate and stable. Finally,some suggestions are made on how to effectively strengthen the coupling relationship between financial agglomeration and ecological efficiency.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2020-01-21.
基金项目:国家自然科学基金项目(71934001)、教育部人文社会科学研究项目(19YJCZH069)、安徽省教研项目(2018jyxm1305).
通讯作者:朱家明,副教授,研究方向:应用数学. E-mail:zhujm1973@163.com
更新日期/Last Update: 2020-09-15