Purpose

Many studies of corruption and money laundering (ML) have been conducted throughout the previous few decades. The impact of corruption and ML on economic growth, banking performance and corporate financial performance has been the focus of various research. The present study aims to investigate the relationship between ML, corruption and inflation.

Design/methodology/approach

This study used the panel data of five South Asian countries from 2013 to 2019 (Pakistan, India, Bangladesh, Sri Lanka and Nepal). Further, fixed effect (FE) and random effect (RE) econometric regression models are used to analyze the data. Additionally, generalized methods of moment (GMM) technique is used to check the results robustness.

Findings

This study discovered that corruption and ML have a significant and positive link with inflation in five South Asian nations using the corruption perception index and the anti-money laundering (AML) index.

Practical implications

This research advises that government authorities strengthen anti-corruption and AML laws enforcement.

Originality/value

To the best of the authors’ knowledge, this is the first paper that explains the linkage between corruption, ML and inflation in five south Asian nations.

中文翻译：

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腐败、洗钱 (ML) 和通货膨胀之间的关系：来自南亚国家的证据

目的

在过去的几十年中，已经进行了许多关于腐败和洗钱 (ML) 的研究。腐败和机器学习对经济增长、银行业绩和公司财务业绩的影响一直是各种研究的重点。本研究旨在调查机器学习、腐败和通货膨胀之间的关系。

设计/方法/方法

本研究使用了 2013 年至 2019 年五个南亚国家（巴基斯坦、印度、孟加拉国、斯里兰卡和尼泊尔）的面板数据。此外，使用固定效应（FE）和随机效应（RE）计量经济学回归模型来分析数据。此外，使用广义矩量法 (GMM) 技术检查结果的稳健性。

发现

本研究使用腐败感知指数和反洗钱 (AML) 指数发现，腐败和 ML 与五个南亚国家的通货膨胀有显着的正向联系。

实际影响

本研究建议政府当局加强反腐败和反洗钱执法。

原创性/价值

据作者所知，这是第一篇解释五个南亚国家腐败、机器学习和通货膨胀之间联系的论文。