Understanding corruption in India: determinants, nonlinear dynamics and policy implications

IF 2.7 4区 管理学 Q2 BUSINESS International Journal of Emerging Markets Pub Date : 2024-02-06 DOI:10.1108/ijoem-08-2023-1273
Kumar Shaurav, Abdhut Deheri, Badri Narayan Rath
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Abstract

Purpose

The purpose of this research is to evaluate corruption in the context of India, spanning the period between 1988 and 2021. Additionally, it aims to provide an in-depth comprehension of the factors that drive its prevalence and to propose policy directives for addressing these underlying issues.

Design/methodology/approach

The study instead of relying on perception-based measures, takes a distinct approach by formulating a corruption index derived from reported instances, thus ensuring a more objective assessment. Furthermore, we employ stochastic frontier analysis to tackle the issue of under-reporting within the corruption index based on reported cases. Subsequently, an auto regressive distributed lag (ARDL) methodology is applied to ascertain the principal drivers of corruption, encompassing both long and short factors.

Findings

This study reveals that corruption in India is notably influenced by economic growth and income inequality. Conversely, government effectiveness and globalization display a tendency to mitigate corruption. However, our rigorous analysis demonstrates that financial development does not wield a substantial influence in our study. Moreover, our inquiry uncovers a nonlinear relationship between economic growth and corruption. Additionally, we ascertain that the long run and short run impacts of corruption remain relatively stable across both models utilized in our study.

Originality/value

This study differs from previous research in the subsequent manners. Primarily, we employed an objective measure to formulate the corruption index, coupled with addressing the underreporting issues via stochastic frontier analysis. Moreover, this study pioneers the identification of a non-linear relationship between corruption and economic growth within the Indian context, a facet unexplored in previous investigations.

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了解印度的腐败现象:决定因素、非线性动态和政策影响
目的本研究旨在评估印度 1988 年至 2021 年期间的腐败情况。此外,本研究还旨在深入了解导致腐败盛行的因素,并提出解决这些根本问题的政策指示。本研究不依赖于基于感知的衡量标准,而是采取了一种独特的方法,即根据报告的案例制定腐败指数,从而确保评估更加客观。此外,我们采用随机前沿分析法来解决基于举报案例的腐败指数中的举报不足问题。随后,我们采用了自回归分布滞后(ARDL)方法来确定腐败的主要驱动因素,其中包括长期和短期因素。相反,政府效率和全球化则显示出减轻腐败的趋势。然而,我们的严谨分析表明,金融发展在我们的研究中并没有产生实质性影响。此外,我们的研究还发现经济增长与腐败之间存在非线性关系。此外,我们还发现,在我们研究中使用的两个模型中,腐败的长期和短期影响都保持相对稳定。 原创性/价值 本研究在以下几个方面不同于以往的研究。首先,我们采用了客观的衡量标准来制定腐败指数,并通过随机前沿分析解决了报告不足的问题。此外,本研究还率先在印度发现了腐败与经济增长之间的非线性关系,而这在以往的研究中是没有的。
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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来源期刊
CiteScore
5.90
自引率
14.80%
发文量
206
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