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Bank supply chain efficiency analysis based on regional heterogeneity: a data-driven empirical study

机译:基于区域异质性的银行供应链效率分析:数据驱动的实证研究

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Purpose Banking is the key industry to guarantee the core leading role of finance in the process of economic development. It is important to study the bank efficiency and optimal allocation of bank's resources. The purpose of our paper is to study the optimal allocation of resources between the bank savings system and loan system under the premise of environmental heterogeneity. Design/methodology/approach We use a two-stage meta-frontier Data Envelopment Analysis model to solve the relative efficiency of each city branch and use the multivariate statistical tools to analyze the empirical results. Findings This paper measures the relative efficiency of 16 Bank Branches of a state-owned bank in Anhui province considering regional heterogeneity. Based on the optimal resource allocation, we get the two-stage operation performance of all banks under group-frontier and meta-frontier and analyze the impact of the technical differences between the branches. Originality/value This study has a positive guiding significance for the banking industry to improve its operational efficiency in various business practices in the new era of big data. It will also provide practical suggestions and support for the government and relevant departments in the process of formulating macro-policies to ensure the healthy and stable development of the banking industry.
机译:目的银行是关键行业,以保证金融在经济发展过程中的核心主导作用。研究银行效率和银行资源的最佳配置非常重要。本文的目的是在环境异质性的前提下研究银行储蓄系统和贷款系统之间的资源的最佳配置。设计/方法/方法我们使用两级元边界数据包络分析模型来解决每个城市分支的相对效率,并使用多元统计工具来分析经验结果。调查结果本文衡量了安徽省国有银行的16个银行分支的相对效率,考虑到区域异质性。基于最佳资源分配,我们获得了组 - 前沿和Meta-Frentier下的所有银行的两级操作性能,并分析了分支机构之间的技术差异的影响。本研究对银行业具有积极的指导意义,以提高其在大数据新时代的各种商业实践中的运营效率。它还将为政府和有关部门提供实际建议和支持,在制定宏观政策,以确保银行业的健康和稳定发展。

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