银行市场不完全竞争造成的自重损失评估

IF 2.9 4区 管理学 Q1 PUBLIC ADMINISTRATION
K. Freimanis, Maija Šenfelde, Vytautas Juščius
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引用次数: 0

摘要

金融市场的失败会给社会带来沉重的(福利)损失。自重损失的评估始于所谓的Harberger三角形,其中Harberger对分析自重损失的三角形方法进行了清晰而有说服力的推导,并将该方法应用于估计美国所得税造成的自重损失。Hertog进一步将自重损失纳入政府干预的模型中,以评估福利损失控制的最佳水平。这一概念是监管经济学的核心。Harberger的方法是基于以价格和数量衡量的市场均衡的偏差。在将不完全竞争作为市场失灵之一进行分析时,作者在文献中确定了“价格”和“数量”的变量。该研究提出了如何使用以下变量计算不完全竞争产生的无谓损失的方法:“价格”——利率(贷款),“数量”——银行资产负债表上的贷款敞口。研究结果对于评估不完全竞争造成的无谓损失是不可或缺的。选定国家的自重损失计算显示,与预期相对应的结果低于12%——拉脱维亚的最大值为4.6%,该国的银行市场集中度在样本中增长最为显著。使用的研究方法:文献分析、回归分析和数学分析工具(积分)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of the Deadweight Loss Arising from the Imperfect Competition in the Banking Market
Financial market failures lead to deadweight (welfare) loss for society. Assessment of the deadweight loss started with the so-called Harberger Triangles, where Harberger offered a clear and persuasive derivation of the triangle method of analysing the deadweight loss and applied the method to estimate deadweight losses due to income taxes in the United States. Hertog further put the deadweight loss into the model with government intervention to assess the optimal level of welfare loss control. This concept is central to regulatory economics. Harberger’s approach is based on the deviation of market equilibrium measured in terms of price and quantity. When analysing imperfect competition as one of the market failures, authors have identified in the literature variables for “price” and “quantity”. The research presents the approach how calculating the deadweight loss arising from the imperfect competition using the following variables: “price” – interest rates (loans), “quantity” – exposure of loans on banks’ balance sheets. The outcome of the research is integral for the assessment of the deadweight loss arising from imperfect competition. Deadweight loss calculations for selected countries show results corresponding to the expectation to be lower than 12% - the maximum value is 4,6% for Latvia, which experienced the most significant increase in the banking market concentration from the sample. Research methods used: literature analysis, regression analysis, and mathematical analysis tools (integrals).
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来源期刊
Public Policy and Administration
Public Policy and Administration PUBLIC ADMINISTRATION-
CiteScore
11.30
自引率
6.50%
发文量
18
审稿时长
12 weeks
期刊介绍: Public Policy and Administration is the journal of the UK Joint University Council (JUC) Public Administration Committee (PAC). The journal aims to publish original peer-reviewed material within the broad field of public policy and administration. This includes recent developments in research, scholarship and practice within public policy, public administration, government, public management, administrative theory, administrative history, and administrative politics. The journal seeks to foster a pluralistic approach to the study of public policy and administration. International in readership, Public Policy and Administration welcomes submissions for anywhere in the world, from both academic and practitioner communities.
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