贵州财经大学学报

贵州财经大学学报 ›› 2022 ›› Issue (06): 54-64.

• 金融经济 • 上一篇    下一篇

基于模糊信息公理评价模型的非法集资处置效果分析——以东北地区十二地市为例

李富有1, 张飞1, 刘希章2   

  1. 1. 西安交通大学 经济与金融学院, 陕西 西安 710061;
    2. 西北大学 经济管理学院, 陕西 西安 710127
  • 收稿日期:2021-11-25 出版日期:2022-11-15 发布日期:2022-11-30
  • 作者简介:李富有(1953—),男,博士,西安交通大学经济与金融学院教授,博士生导师,研究方向为民间金融与宏观经济;张飞(1990—),男,西安交通大学经济与金融学院博士生,研究方向为非法集资与民间金融;刘希章(1985—) ,男,博士,西北大学经济管理学院讲师,研究方向为民间金融与宏观经济。
  • 基金资助:
    国家社会科学基金重点项目"新形势背景下非法集资的处置效果及处置防范机制研究"(18AJY028);国家社会科学基金重大项目"'一带一路’背景下健全促进对外投资政策和服务体系研究"(20ZDA051);教育部人文社会科学研究一般项目"新形势背景下非法集资风险的形成机理、溢出效应与防控机制研究"(21YJC790079);陕西省社会科学基金项目"新发展理念下陕西省民间金融推进经济高质量发展研究"(2021D12)。

Analysis of the Effectiveness of Illegal Fund Raising Disposal Based on Fuzzy Information Axiomatic Evaluation Model - Taking Twelve Cities in Northeast China as an Example

LI Fu-you1, ZHANG Fei1, LIU Xi-zhang2   

  1. 1. School of Economics and Finance of Xi'an Jiaotong University, Xi'an, Shanxi 710061, China;
    2. School of Economics and Management, Northwest University, Xi'an, Shanxi 710127, China
  • Received:2021-11-25 Online:2022-11-15 Published:2022-11-30

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摘要： 处置效果评估是推进非法集资处置防范机制形成和非法集资处置效果提升的重要保障。基于Triz理论构建非法集资处置效果评价指标体系,设计相应调研问卷,获取东北地区U1—U12十二地市非法集资处置效果及处置效果指标期望等数据。将模糊信息公理评价模型运用在上述地市,得出非法集资处置效果信息量分别为INF、INF、INF、INF、54.28、INF、61.14、67.05、54.96、66.45、INF、69.24,其中,INF为无穷大。依据信息公理,越小的信息量对应越好的处置效果,则U5市的非法集资处置效果最佳;该市的主要优势体现在宣传防范力度指标上。信息量为INF的六个地市均有若干指标未能满足处置效果指标期望,处置效果相对较弱,其非法集资处置效果短板主要为主管部门监管处置力度、宣传防范力度等。

关键词: 非法集资, 公理设计, 信息公理, 系统范围, 设计范围

Abstract: Disposal effect evaluation is an important guarantee to promote the formation of illegal fund raising disposal prevention mechanism and the improvement of illegal fund raising disposal effect. Based on Triz theory, the evaluation index system of illegal fund raising disposal effect is constructed. The corresponding research questionnaires were designed to obtain data on the disposal effect of illegal fund raising and the expectation of disposal effect indexes in twelve cities in Northeast China from U1-U12. Applying the fuzzy information axiom evaluation model to the above cities, the information quantity of illegal fund raising disposal effect is obtained as INF, INF, INF, INF, 54.28, INF, 61.14, 67.05, 54.96, 66.45, INF, 69.24, where INF is infinity. According to the information axiom, the smaller the amount of information corresponds to the better disposition effect, the best disposition effect of illegal fund raising in U5 city; the main advantage of the city is reflected in the indicator of publicity and prevention efforts. The six cities with INF information have several indicators that fail to meet the expectations of the disposition effect indicators, and the disposition effect is relatively weak, and the shortcomings of their illegal fund raising disposition effect are mainly the supervisory and disposition efforts of the competent departments and the publicity and prevention efforts.

Key words: illegal fund raising, axiomatic design, information axiom, system scope, design scope

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