Banking sector and economic growth in the digital transformation era: insights from maximum likelihood and Bayesian structural equation modeling

Abdullah Murrar, Bara Asfour, Veronica Paz
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Abstract

PurposeIn the digital era, the banking sector has transformed into a powerful intermediary, effectively connecting surplus and deficit units. This dynamic landscape empowers savers to secure their finances and generate returns, while simultaneously enabling businesses and individuals to access capital for investment and promoting economic growth. This study explores the relationships among banking development dimensions – represented by primary assets and liabilities, bank capital (core capital and required reserves) and economic growth as measured by components of gross domestic product (GDP).Design/methodology/approachThe study consolidated monthly balance sheets from digital banks over a 20-year period, resulting in an aggregate monthly balance sheet that reflects the financial position of all digital banks in the Palestinian economy. The research employs both maximum likelihood and Bayesian structural equation modeling to measure the causal pathways of the consolidated balance sheet with the individual components of GDP.FindingsThe results revealed that bank main assets (investments and loans) and liabilities (deposits) collectively explain for 97% of bank capital. Investments and loans demonstrate significant negative correlations with bank capital, while deposits exhibit a positive impact. This leads to a fundamental conclusion that a substantial proportion of retained earnings within the banking sector is reinvested, fueling expansion and growth. Additionally, the results showed a significant relationship between bank capital and various GDP components, including private consumption, gross investment and net exports (p = 0.000). However, while the relationship between bank capital and government spending was insignificant in the maximum likelihood estimation, Bayesian estimation revealed a slight yet positive impact of bank capital on government spending.Originality/valueThis research stands out due to its unique exploration of the intricate relationship between bank sector development dimensions, primary assets and liabilities and their impact on bank capital in the digital era. It offers fresh insights by dividing this connection into specific dimensions and constructs, utilizing a comprehensive two-decade dataset covering the digital banks records.
数字化转型时代的银行业与经济增长:最大似然法和贝叶斯结构方程模型的启示
目的 在数字时代,银行业已转变为一个强大的中介机构,有效地连接着盈余和赤字单位。这一动态格局使储蓄者能够确保其财务安全并获得回报,同时使企业和个人能够获得投资资本并促进经济增长。本研究探讨了银行业发展维度(以主要资产和负债、银行资本(核心资本和必要储备金)为代表)与经济增长(以国内生产总值(GDP)的组成部分为衡量标准)之间的关系。研究采用最大似然法和贝叶斯结构方程模型来衡量合并资产负债表与国内生产总值各个组成部分之间的因果关系。研究结果研究结果显示,银行主要资产(投资和贷款)和负债(存款)合计占银行资本的 97%。投资和贷款与银行资本呈显著负相关,而存款则呈正相关。由此得出的基本结论是,银行业留存收益的很大一部分被用于再投资,从而推动了扩张和增长。此外,研究结果表明,银行资本与国内生产总值的各个组成部分(包括私人消费、投资总额和净出口)之间存在显著关系(p = 0.000)。然而,虽然银行资本与政府支出之间的关系在最大似然估计中不显著,但贝叶斯估计显示银行资本对政府支出有轻微但积极的影响。它利用涵盖数字银行记录的二十年综合数据集,将这种联系划分为特定的维度和结构,从而提供了新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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26
审稿时长
8 weeks
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