The Price of Corruption: A Consequence-based Analysis of Economic Growth in Somalia

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This preprint examines the relationship between corruption and economic growth in Somalia using a dataset from 2005 to 2021 and applying vector autoregression, Granger-causality testing, and Johansen cointegration to assess long-run associations and causal links among GDP, foreign direct investment (FDI), and corruption. The authors report that corruption has a significant negative impact on economic growth, deters foreign investment, and contributes to worsening poverty and inequality by diverting resources from productive activities, undermining institutional quality, and distorting market dynamics. A stated caveat is that the study is based on theoretical frameworks and empirical studies in a preprint that has not been peer reviewed by a journal. This paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract Corruption acts as a major barrier to Somalia's overall social, economic, and political progress. Tackling corruption requires holistic, multi-pronged approaches that strengthen transparency, accountability, and the rule of law across all sectors. Thus, this study examines the intricate relationship between corruption and economic growth in Somalia, emphasizing the profound impact of corrupt practices on institutional integrity and economic development. By employing a comprehensive analysis of the theoretical frameworks and empirical studies, this research highlights how corruption diverts resources from productive activities, undermines institutional quality, and distorts market dynamics. The paper utilizes a dataset spanning from 2005 to 2021, applying vector autoregression, the Granger-causality test and Johansen co-integration test to investigate the causal relationships and long-term associations between Gross Domestic Product (GDP), Foreign Direct Investment (FDI), and corruption. The findings reveal that corruption has a significant and negative impact on Somalia's economic growth, deterring foreign investment and exacerbating poverty and inequality. Despite ongoing efforts to combat corruption, it remains pervasive, hindering Somalia's progress towards stability and prosperity. This study underscores the urgent need for enhanced governance structures, transparency, and accountability to mitigate the detrimental effects of corruption and foster sustainable economic growth in Somalia.*Clinical trial N/A
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Tackling corruption requires holistic, multi-pronged approaches that strengthen transparency, accountability, and the rule of law across all sectors. Thus, this study examines the intricate relationship between corruption and economic growth in Somalia, emphasizing the profound impact of corrupt practices on institutional integrity and economic development. By employing a comprehensive analysis of the theoretical frameworks and empirical studies, this research highlights how corruption diverts resources from productive activities, undermines institutional quality, and distorts market dynamics. The paper utilizes a dataset spanning from 2005 to 2021, applying vector autoregression, the Granger-causality test and Johansen co-integration test to investigate the causal relationships and long-term associations between Gross Domestic Product (GDP), Foreign Direct Investment (FDI), and corruption. The findings reveal that corruption has a significant and negative impact on Somalia's economic growth, deterring foreign investment and exacerbating poverty and inequality. Despite ongoing efforts to combat corruption, it remains pervasive, hindering Somalia's progress towards stability and prosperity. This study underscores the urgent need for enhanced governance structures, transparency, and accountability to mitigate the detrimental effects of corruption and foster sustainable economic growth in Somalia. *Clinical trial N/A Corruption GDP FDI VAR Somalia Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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