Shadow Economy, Corruption, and Economic Growth: A Bayesian Analysis

Nguyen, My-Linh Thi; Bui, Toan Ngoc; Thai, Tung Duy; Nguyen, Thuong Thi; Nguyen, Hung Tuan

doi:10.1007/978-3-030-98689-6_49

Cited by 3 publications

(2 citation statements)

References 57 publications

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“…Para el caso de países asiáticos, Nguyen et al (2022) analizan el impacto de la economía sumergida y la corrupción en el crecimiento económico. La muestra incluye diez países de asean (Asociación de Naciones de Asia Sudoriental) en el período 2002-2019 y utilizan el método bayesiano.…”

Section: Revisión Bibliográficaunclassified

Control de la corrupción y crecimiento económico en el MERCOSUR ampliado: 1996-2020

Rabanal

2023

ECONOMÍA

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El objetivo de este trabajo es estudiar el impacto de la cuestión institucional sobre el crecimiento económico. En particular, se examina el efecto del control de la corrupción, como variable representativa de la dimensión institucional, sobre el crecimiento económico. La metodología se basa en un modelo de datos de panel para Argentina, Bolivia, Brasil, Chile, Paraguay, Uruguay y Venezuela, en el período 1996-2020. Los resultados muestran un impacto positivo de la variable CC en el crecimiento. Una mejora de un 1% en el CC repercute aproximadamente en un 0,09 % de crecimiento del PBI per cápita, es decir cerca de una décima parte de un punto porcentual.

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Section: Revisión Bibliográficaunclassified

Control de la corrupción y crecimiento económico en el MERCOSUR ampliado: 1996-2020

Rabanal

2023

ECONOMÍA

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“…Numerous empirical literatures have explored the connection between the informal sector and economic progress (Asea, 1996; Baklouti and Boujelbene, 2019; Goel, Saunoris, and Schneider, 2017; Loayza, 1996; Schneider and Enste, 2000; Nguyen and Duong, 2021;Williams, 2006). According to these studies, the nexus remains controversial.…”

Section: Introductionmentioning

confidence: 99%

Modelling the nexus between income inequality and shadow economy in Nigeria

Adegboyega

Odusanya

Ogede

et al. 2022

JED

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Purpose -This paper aims to examine the relationship between the shadow economy and income inequality in Nigeria.Method -The paper employed Autoregressive Distributed Lag (ARDL), Fully Modified Ordinary Least Square (FMOLS), and Granger causality. This methodology is used to avoid endogeneity and heterogeneity in the model. This paper gauged income inequality using two diverse indicators of the Gini coefficient: the Gini index in proportion to household disposable income and the Gini index in proportion to household market income. In accordance with the literature, our empirical analysis draws on data from the Standardized World Income Inequality Database (SWIID), the World Bank, World Development Indicators, and the International Country Risk Guide (ICRG) for Nigeria from 1991 to 2018.Result -The findings of ARDL and FMOLS suggested a positive relationship between income inequality and the shadow economy, based on both measures of income inequality. In the short term, however, the shadow economy and income inequality are negatively correlated. Furthermore, we discovered a one-way causal relationship exists in Nigeria between the shadow economy, household disposable income, institutional democracy, household market income, and corruption control (CCI). Recommendation -Shadow economy has been regarded as an avenue to create job opportunities and raise poverty-income levels. It is critical that, for the shadow economy to reduce income inequality in Nigeria, policymakers should develop much better policies aimed at addressing income inequality.Contribution -In order to understand the relationship between income inequality and shadow economy activities in Nigeria, this study employed three methodologies, namely: Autoregressive Distributed Lags (ARDL), Fully Modified Ordinary Least Squares (FMOLS), and Granger Causality. The result offers reliable recommendations for pro-poor interventions that aim to limit the growth of informality via redistributing incomes.

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Corruption and foreign direct investment: Bayesian analysis approach

Dao,

Bui,

Doan

2024

JGR

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The paper is aimed to analyze the impact of corruption control on foreign direct investment (FDI). The dataset is collected from ten Association of Southeast Asian Nations (ASEAN) countries (including Brunei Darussalam, Indonesia, Cambodia, Lao PDR, Myanmar, Malaysia, Philippines, Singapore, Thailand, and Vietnam) during the period 2002–2021. The paper utilizes the Bayesian method for estimation in the research model, highlighting its superiority in estimating regression results as a probability distribution and enhancing the stability of estimation outcomes (McNeish, 2016). Moreover, to test the robustness of the estimation results, the paper also conducts the estimation using traditional methods, including the generalized method of moments (GMM) proposed by Arellano and Bond (1991). By employing various estimation methods, the research results ensure robustness, increase reliability, and offer a more detailed explanation of the findings. Both the Bayesian and other traditional estimation methods reveal a positive impact of corruption control on FDI in the ASEAN countries. Particularly, the Bayesian estimation results show a 93.7 percent probability of this impact, which is an interesting finding compared to previous studies. Additionally, FDI is positively influenced by economic growth and trade openness while negatively affected by unemployment. The findings are significant for these countries, especially in enhancing their abilities to attract FDI.

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Shadow Economy, Corruption, and Economic Growth: A Bayesian Analysis

Cited by 3 publications

References 57 publications

Control de la corrupción y crecimiento económico en el MERCOSUR ampliado: 1996-2020

Control de la corrupción y crecimiento económico en el MERCOSUR ampliado: 1996-2020

Modelling the nexus between income inequality and shadow economy in Nigeria

Corruption and foreign direct investment: Bayesian analysis approach

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