The Dynamic Relationship Between Corruption–Inflation: Evidence From Panel Vector Autoregression

This paper aims to explain the mixed causality nexus between corruption and inflation. For that, we apply a panel vector autoregression model on a large sample of 180 countries over the period 1996–2014. Using two corruption indexes and subsample estimations, results provide evidence that the inflation–corruption nexus is bidirectional. The causal effect is more important from corruption to inflation. Interactions remain significant but heterogeneous across subsamples with different income levels. The corruption effect is persistent only in low–middle income economies and its adverse effect on inflation is weaker in high‐income economies. The two‐way relationship between inflation and corruption reflects the inability to control inflation and the situation of the poverty trap in some countries.     

The Effect of Corruption on Investment Growth: Evidence from Firms in Latin America,Sub‐Saharan Africa,and Transition Countries*

Most of the empirical studies that analyze the impact of corruption on investment have three common features: they employ country‐level data on investment, corruption is measured at the country level, and data for countries from several regions are pooled together. This paper uses firm‐level data on investment and measures corruption at the firm and country level, and allows the effect of corruption to vary by region. Our dependent variable is firms' investment growth and we employ six measures of corruption from four different sources—two firm‐level measures and four country‐level measures. We find that the effect of corruption on investments varies significantly across regions: corruption has a negative and significant effect on investment growth for firms in Transition countries but has no significant impact for firms in Latin America and Sub‐Saharan Africa. Furthermore, for Transition countries, corruption is the most important determinant of investment.     

The internet as an indicator of corruption awareness

We apply a standard specification of the causes of corruption to a large sample of countries to investigate the effect of internet awareness about corruption on prevalence and perceptions of corruption. The main hypothesis is that greater corruption awareness acts as a corruption deterrent. A unique data set of internet searches on Google and Yahoo is compiled using alternate variations of “corruption”, “bribery” and “country name” keywords to capture internet corruption awareness. Results show that internet hits about corruption per capita correlate negatively with corruption perceptions and corruption incidence. This finding generally holds for different specifications and other robustness checks.     

Is the Efficiency Wage Efficient? The Social Norm and Organizational Corruption

The effectiveness of efficiency wage incentives is often jeopardized by perverse organizational corruption. We model organizational corruption as a phenomenon of social interaction and relate the substantial psychological role characterizing the social norm to the corruption problem. We find that if the status quo bribery rate within the firm is high, social norms can no longer serve as a sufficient sanction against a corrupt supervisor; pandemic organizational corruption tends to generate a critical mass effect—the snowball effect—which intensifies the corruption effect. This intensified effect, due to the snowballing character of social norms, may more than offset the usual incentive effect of wages, resulting in more widespread shirking in the firm.
JEL classification : D 82; J 41     

Does corruption hinder investment? Evidence from Russian regions

This paper investigates the relationship between corruption and fixed capital investment in the setting of a corrupt country. Using different measures of corruption – registered cases of bribe taking and incidents of experienced corruption by the population – we find a negative relationship between investment and corruption. We then address the problem of endogeneity of corruption using an instrumental variables approach: when corruption is instrumented with freedom of the press and violations of journalists' rights, we find an even bigger negative effect. Disaggregating investment by ownership-type shows that only private investment is affected by corruption, but not investment made by state-owned companies. The negative effect is larger for companies with full or partial foreign ownership. Additionally, we look at the relationship between corruption and foreign direct investment (FDI): similar to the investment in fixed capital, we find a negative relationship; however, its statistical significance varies across specifications with different data sources for FDI and different corruption measures.     

Does transparency reduce political corruption?

Does a better monitoring of officials' actions (transparency) lower the incidence of corruption? Using a common agency game with imperfect information, we show that the answer depends on the measure of corruption that one uses. More transparency lowers the prevalence of corruption but raises the average bribe as it motivates the corruptor to bid more aggressively for the agent's favor. We show that transparency affects the prevalence of corruption at the margin through a competitive effect and an efficiency effect.     

Corruption and corporate leverage in an emerging economy: The role of economic freedom

This study investigated the effects of corruption and economic freedom on corporate leverage. We also evaluated how economic freedom shapes the effect of corruption on corporate leverage. Using a sample of Vietnamese firms covering a nine-year period from 2010 to 2018, we find evidence that increased control of corruption has a significant positive impact on firm leverage, whereas the opposite is true for economic freedom. This effect is robust to alternative measures of control of corruption as well as advanced estimation methods, such as firm-fixed effects and quantile regressions. Our results also reveal that the positive impact of corruption controls on corporate leverage is more pronounced for firms with high economic freedom. Econometrically, our findings indicate that firms with better control over corruption prefer debt financing, as demonstrated by their higher leverage ratio.     

Competition and corruption in an agency relationship

The paper reconsiders the relationship between competition and corruption in a model, where corruption has solid informational foundations and where the regulatory response to the possibility of corruption is taken into account. It is shown that the effect of greater competition on corruption depends on the complementarity or substitutability of the two instruments available to decrease information rents, namely low powered incentives and greater competition. The paper concludes with a brief empirical exploration of the relationship between competitiveness and corruption on African data.     

The effect of corruption on microfinance loan portfolio: A semiparametric analysis

In this paper, we examine the extent to which corruption affects the loan portfolio of microfinance institutions (MFIs). We employ robust econometric estimation on a sample of 507 MFIs across 63 countries from 2005 to 2018. Our results show that corruption is negatively associated with the loan portfolio. However, in semiparametric analysis, we find that lower-level corruption is beneficial to increase the loan portfolio while higher-level corruption is detrimental. The results imply that it is not just corruption that matters as far as its effect on MFIs' loan portfolio is concerned; what matters is the degree of corruption. In further analyses, we find that corruption reduces both the number of active borrowers and average loan per borrower indicating that corruption reduces both coverage and amount of credit extension. The results suggest that the effect of corruption on the loan portfolio is gender-sensitive. Corruption facilitates an increase in loans to female borrowers. Our results are robust to alternative variable measurements and different identification strategies, including two-stage least square.     

Corruption and public spending on education and health

Existing country and regional studies show that the effect of corruption on public spending on health and education is mixed. This letter reveals that the effect of corruption on health and education spending is significant and non-linear in a panel of 134 countries observed over two decades: For an overwhelming majority of countries, corruption has a positive effect on the share of public resources spent on public health and a negative effect in the case of education. The results presented are robust to several econometric challenges ignored in the literature.     

Government size,democracy, and corruption: An empirical investigation

Previous studies on the effect of government size on corruption have produced mixed results. In an attempt to explain these ambiguous results, this study investigates the effect of government size on corruption by taking into account the role of the democracy in each country. Using annual data of 82 countries between 1995 and 2008, the estimation results indicate that an increase in government size can lead to a decrease in corruption if the democracy level is sufficiently high and, in contrast, can lead to an increase in corruption if it is too low. As robustness checks, the estimations using a different index of corruption and a different proxy for government size are also conducted. The results reveal that our main findings are robust. Furthermore, to address endogeneity problems, we conduct the instrumental variables estimation and the system generalized method of moments estimation, the results of which also support our primary findings. These results provide some important implications for policymakers seeking to perform government interventions without aggravating corruption.     

Does the evidence on corruption depend on how it is measured? Results from a cross-country study on microdata sets

While much of the existing literature on corruption looks at the effect of corruption on macro variables such as growth rates and income distribution, this study provides a departure by focussing on victims of corruption by using microdata to compare civilian and business corruption. This study finds that businesses face a stronger incidence of bribe demands than individuals. Though there are several differences between the determinants of the two forms of bribe victimization, there are also some similarities. Policies to combat corruption need to take into account both the differences and the similarities.     

Corruption and economic growth: New empirical evidence

The nexus between corruption and economic growth has been examined for a long time. Many empirical studies measured corruption by the reversed Transparency International's Perception of Corruption Index (CPI) and ignored that the CPI was not comparable over time. The CPI is comparable over time since the year 2012. We employ new data for 175 countries over the period 2012–2018 and re-examine the nexus between corruption and economic growth. The cumulative long-run effect of corruption on growth is that real per capita GDP decreased by around 17% when the reversed CPI increased by one standard deviation. The effect of corruption on economic growth is especially pronounced in autocracies and transmits to growth by decreasing FDI and increasing inflation.     

Institutions and the Relation between Corruption and Economic Growth

We study the effects of bureaucratic corruption on economic growth in a framework that takes into account that corruption also affects growth through its impact on institutions. We use a formal growth framework in which corruption affects growth negatively because of individual rent‐seeking and stealing of public goods, but where corruption may serve a positive role by taking over the role of institutions. We find that the overall effect of corruption on economic growth is highly dependent on the institutional setting of a country. Particularly in situations where institutions are not well developed corruption may be conducive to economic growth. We also find that the interaction among institutions themselves matters. This underscores the importance of taking into account the complete institutional setting when studying corruption, both in theory as well as empirically.     

The impact of local financial development on firm growth in Vietnam: Does the level of corruption matter?

We examine the effects of province-level financial development and corruption on the performance of Vietnamese firms in terms of the growth rates of sales, investment and sales per worker. Employing a large firm-level dataset of more than 40,000 firms for the period 2009–2013 and applying a heteroskedasticity-based identification strategy, we find that province-level financial development promotes firm growth, while corruption hinders it. Most importantly, the marginal effect of financial development on firm growth depends negatively on the level of corruption. Moreover, financial development exacerbates the growth-retarding effect of corruption.     

INSTABILITY AND THE INCENTIVES FOR CORRUPTION

We investigate the relationship between corruption and political stability, from both theoretical and empirical perspectives. We propose a model of incumbent behavior that features the interplay of two effects: a horizon effect , whereby greater instability leads the incumbent to embezzle more during his short window of opportunity, and a demand effect , by which the private sector is more willing to bribe stable incumbents. The horizon effect dominates at low levels of stability, because firms are unwilling to pay high bribes and unstable incumbents have strong incentives to embezzle, whereas the demand effect gains salience in more stable regimes. Together, these two effects generate a non-monotonic, U-shaped relationship between total corruption and stability. On the empirical side, we find a robust U-shaped pattern between country indices of corruption perception and various measures of incumbent stability, including historically observed average tenures of chief executives and governing parties: regimes that are very stable or very unstable display higher levels of corruption when compared with those in an intermediate range of stability. These results suggest that minimizing corruption may require an electoral system that features some re-election incentives, but with an eventual term limit.     

How does petty corruption affect tax morale in Sub-Saharan Africa?

Revenues from taxation gain in importance to finance economic development in Sub-Saharan Africa. One obstacle to enhancing the willingness to remit taxes can be the extortion of bribes by public officials. Using micro-level data from the Afrobarometer, we show that petty corruption erodes tax morale. The effect on tax morale is more severe in countries and regions where fewer people are affected by petty corruption and becomes insignificant if extortion of bribes is particularly prevalent. Differing levels of civic participation and potential access to tax funded services are also found to induce heterogeneous reactions to corruption experience. Applying a mediation analysis, we demonstrate that petty corruption not only has a direct effect on tax morale but also diminishes confidence in tax authorities and therefore affects tax morale indirectly. The harmful effects of corruption experience, however, operate mainly through a generally lowered inclination to uphold high levels of tax morale.     

Some additional evidence on the interplay between corruption,tax policy and firm entry using US states

The effects that corruption and tax policy have on entrepreneurship and firm growth have been often studied in the literature. This current article adds to that literature by evaluating how the interaction effect between corruption and tax policy influences firm entry at the US state level, using a panel data set of all 50 US states between 2001 and 2014. Overall, the findings are consistent with the literature and suggest that while high levels of corruption and relatively burdensome tax policy have a negative effect on firm entry, high levels of corruption tend to dampen the negative effects associated with relatively high tax rates. Potential policy implications are discussed within this article.     

The short-run and long-run effects of corruption control and political stability on forest cover

This article examines how governance, particularly corruption control and political stability, affects deforestation due to agricultural land expansion. We estimate the short-run and long-run effects of corruption control and political stability on deforestation in South American and Asian countries using data from 1990 to 2003 where converting forest land into agricultural land is a significant problem. Political stability has a positive and significant effect on forest cover in the short run but an insignificant effect in the long run. In contrast, corruption control has a negative and significant effect on forest cover in the short run and the long run with a larger magnitude in the former. One possible explanation is that corruption control induces more technological productivity and, if technology and land use are complements, increases in technological development lead to agricultural land expansion.     

Corruption, Income Distribution, and Growth

This paper uses an encompassing framework developed by Murphy et al. (1991, 1993) to study corruption and how it affects income distribution and growth. We find that (1) corruption affects income distribution in an inverted U-shaped way, (2) corruption alone also explains a large proportion of the Gini differential across developing and industrial countries, and (3) after correcting for measurement errors, corruption seems to retard economic growth. But the effect is far less pronounced than the one found in Mauro (1995). Moreover, corruption alone explains little of the continental growth differentials. In countries where the asset distribution is less equal, corruption is associated with a smaller increase in income inequality and a larger drop in growth rates.