Exploring differences in corruption: the role of neighboring countries

The aim of this paper is to study whether corruption spreads across neighboring countries. Spatial econometric techniques are used to analyze corruption interactions, testing whether the perception of corruption in neighboring countries affect a country’s own corruption once other variables are controlled for. For a given country it is found that corruption varies neither with the behavior of its neighbors (there is no endogenous interaction) nor with their exogenous characteristics (there is no contextual interaction). Corruption is therefore not contagious, but neighboring countries tend to show similar levels of corruption because they face similar characteristics and similar institutional environments.     

Valuing the social cost of corruption using subjective well being data and the technique of vignettes

Corruption can have an effect on people's happiness and satisfaction, and therefore, can generate a social cost. However, the perceptions of corruption and satisfaction can also vary across subjects, due to socioeconomic and cultural characteristics. This article studies the differences in the perceptions of corruption and satisfaction across subjects, utilizing the technique of vignettes for the correction of the bias that follows from the differences in the response scale across individuals. The evidence comes from a sample of citizens in Spain, who are asked about their perceptions of corruption and personal satisfaction. The results show that there exists a response scale bias, both for corruption and satisfaction. These results are utilized to approximate the social cost of corruption.     

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 in space: A closer look at the world's subnations

Corruption levels differ not only between but also within countries. In this paper we analyze spatial interdependencies in corruption levels for a large sample of 1232 subnational regions from 81 countries. Based on a spatial autoregressive model, which controls for country-fixed effects and corrects for spatial autocorrelation in the error term, we find that a subnational region's corruption level is positively correlated with neighboring subnational regions' corruption levels. Extending the core model and allowing for heterogeneous spatial effects, we find that most spillovers among subnational regions occur within national borders. Moreover, in particular high income subnational regions and subnational regions with relative low corruption levels tend to spill in space. This is due to their high degree of connectivity in terms of economic, sociocultural and political exchange with other subnational regions. Our estimation results underline the importance to consider not only a subnational region's own characteristics, but also spatial interdependencies when implementing efficient anti-corruption policies at the local level.     

Corruption and the Political Economy of Resource-Based Development: A Comparison of Asia and Sub-Saharan Africa

We model how the “supply and demand” for bribes affects resource use by an economy, and the reinvestment of resource rents in other assets. This requires adjusting the World Bank’s measure adjusted net savings for any rent dissipation due to corruption. The impacts of corruption on long-run changes and periodic growth in the adjusted net savings rate are estimated across African and Asian economies from 1970 to 2003. Corruption rather than resource dependency per se affects negatively the ability of African countries to reinvest resource rents in the short term, but for Asian countries, corruption is less important than point resources. Corruption influences long-run growth in adjusted net savings rates in all countries, and is also the “pathway” through which this growth is affected by patterns of resource use, trade and abundance.     

Crime and corruption in transitional economies: lessons for Cuba

Trends in aggregate crime rates across Europe reveal significant increases in crime in transitional countries. We identify causal mechanisms associated with the economic transition. Historical experience of corruption in the Soviet Union is reviewed, and connections between corruption and transition are analyzed. We apply the results to Cuba's current circumstances, examining the potential for growth in crime and corruption in Cuba and suggesting policies to ameliorate it.     

Misreporting trade: Tariff evasion,corruption, and auditing standards

Official international trade statistics report commerce between every pair of countries twice: once for the importing country and once for the exporter. In principle, the two values differ only by transport costs, but as has long been recognized, they also differ systematically with product‐level tariffs. We aggregate across products to construct a dataset of annual aggregate bilateral trade, separately for the importer and exporter reports. With these data, we show that the reporting differences also vary systematically with country characteristics aside from tariffs: incomes, auditing standards, corruption, and trade agreements.     

Obesity of politicians and corruption in post-Soviet countries

We collected 299 frontal face images of 2017 cabinet ministers from 15 post-Soviet states (Armenia, Azerbaijan, Belarus, Estonia, Georgia, Kazakhstan, Kyrgyzstan, Latvia, Lithuania, Moldova, Russia, Tajikistan, Turkmenistan, Ukraine and Uzbekistan). For each image, the minister's body-mass index is estimated using a computer vision algorithm. The median estimated body-mass index of cabinet ministers is highly correlated with conventional measures of corruption (Transparency International Corruption Perceptions Index, World Bank worldwide governance indicator Control of Corruption, Index of Public Integrity). This result suggests that physical characteristics of politicians such as their body-mass index can be used as proxy variables for political corruption when the latter are not available, for instance at a very local level.     

Income inequality,corruption and subjective well-being

ABSTRACT

Based on the data of CGSS2013, we analyse the relationship between income inequality, corruption and subjective well being using an Ordered Probit model. Our results indicate that income inequality and corruption significantly reduces the subjective well-being of our country’s residents. Furthermore, corruption is an important channel for the negative effect of income inequality on subjective well-being, the impact of income inequality on subjective well-being is mainly achieved by the role of corruption. Specifically, the impacts vary according to hukou. Higher degree of income inequality indeed reduces the subjective well-being of urban residents, while it has a positive effect on subjective well-being of rural residents. Corruption has a significant negative impact on the subjective well-being of urban and rural residents. There is heterogeneity in the influence of different income levels in rural areas. The study in this paper shows that anti-corruption and narrowing the income gap are the two major grippers to improve the well-being of the residents.     

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.     

NATIONAL TREATMENT AT THE WTO: THE ROLES OF PRODUCT AND COUNTRY HETEROGENEITY*

This paper analyzes the World Trade Organization's (WTO's) national treatment (NT) clause in a two‐country model where quality of goods and/or market size are heterogenous across countries. When market size is symmetric across countries, a reciprocal NT agreement (i) benefits the high‐quality country, (ii) hurts the low‐quality country, and (iii) delivers higher aggregate world welfare. However, such an agreement can arise in equilibrium if the high‐quality country's market is relatively bigger and the quality gap between goods is small (i.e., goods are sufficiently alike). The qualitative nature of these results does not change when quality is endogenously determined.     

Does corruption hamper bank lending? Macro and micro evidence

The aim of this paper is to analyze the effect of corruption in bank lending. Corruption is expected to hamper bank lending, as it is closely related to legal enforcement, which has been shown to promote banks’ willingness to lend. Nevertheless the similarities between the consequences for bank lending of law enforcement and corruption are misleading, as they consider only judiciary corruption. Corruption can also occur in lending and may then be beneficial for bank lending via bribes given by borrowers to enhance their chances of receiving loans. This assumption may be validated particularly in the presence of pronounced risk aversion by banks, resulting in greater reluctance on the part of banks to grant loans. We perform country-level and bank-level estimations to investigate these assumptions. Corruption reduces bank lending in both sets of estimations. However, bank-level estimations show that the detrimental effect of corruption is reduced when bank risk aversion increases, even leading at times to situations wherein corruption fosters bank lending. Additional controls show that corruption does not increase bank credit by favoring only bad loans. Therefore, our findings show that while the overall effect of corruption is to hamper bank lending, it can alleviate firm’s financing obstacles.     

LEGAL CORRUPTION

We challenge the conventional definition of corruption through the analysis of legal forms of corruption, and by devoting special attention to influence induced by the private sector. This paper studies the determinants of the world pattern of legal and illegal corruption by proposing a simple theoretical model of endogenous corruption and related legal framework, and its thorough empirical test. Three types of equilibrium outcomes are identified: one based on illegal corruption, where the elite does not face any binding incentives to limit corruption; one centered around legal corruption, where the elite must incur a cost to legally protect corruption; and finally a no‐corruption outcome, where the population is able to effectively react to corruption. Testable implications from the model are derived based on country‐wide parameters. Crucially, we use a rich corporate survey, including 8,279 firms in 104 countries, tailored for this research, and featuring measures of legal corruption that are novel to the literature. The microdimension of the database enables improving on familiar shortcomings associated with the use of endogeneity‐prone, country‐wide indices of perceived corruption. The empirical results, making use of a broad range of proxies and sources, generally validate the model's explanations.     

Electoral cycles in perceived corruption: International empirical evidence

I examine whether elections influence perceived corruption in the public sector. Perceived corruption in the public sector is measured by the reversed Transparency International's Perception of Corruption Index (CPI). The dataset includes around 100 democracies over the period 2012–2016, a sample for which the CPI is comparable across countries and over time. The results show that the reversed CPI was about 0.4 points higher in election years than in other years, indicating that perceived corruption in the public sector increased before elections. The effect is especially pronounced before early elections (1.0 points) compared to regular elections (0.4 points). Future research needs to investigate why perceived corruption in the public sector increased before elections.     

Does corruption increase or decrease employment in firms?

We use representative data for firms for Latin American firms and show that corruption decreases employment in firms. This result is robust to changes in specification and also consistent with the use of an instrumental variables approach. Corruption appears to negatively impact the growth and wealth in a country, not by introducing labour distortion in firms, but by keeping them small.     

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.     

Is corruption in China “out of control”? A comparison with the US in historical perspective

This paper compares corruption in China over the past 15 years with corruption in the US between 1870 and 1930, periods that are roughly comparable in terms of real income per capita. Corruption indicators for both countries and both periods are constructed by tracking corruption news in prominent US newspapers. Several robustness checks confirm the reliability of the constructed corruption indices for both countries. The comparison indicates that corruption in the US in the early 1870s, when its real income per capita was about $2800 (in 2005 dollars), was 7–9 times higher than China’s corruption level in 1996, the corresponding year in terms of income per capita. By the time the US reached $7500 in 1928, approximately equivalent to China’s real income per capita in 2009, corruption was similar in both countries. The findings imply that, while corruption in China is an issue that merits attention, it is not at alarmingly high levels, compared to the US historical experience. In addition, the paper articulates a theoretical framework within which the relationship between corruption and economic development can be understood. The model is used to explain the “life-cycle” of corruption in the development process–rising at the early stages of development, and declining after modernization has taken place. Hence, as China continues its development process, corruption will likely decline.     

CORRUPTION AND INCOME INEQUALITY IN THE UNITED STATES

In this study we analyze the effects of corruption on income inequality. Our analysis advances the existing literature in three ways. First, instead of using one of the corruption indices assembled by various investment risk services, we use an objective measure of corruption: the number of public officials convicted in a state for crimes related to corruption. Second, we minimize the problems which are likely to arise because of data incomparability by examining the differences in income inequality across the United States. Finally, we exploit both time series and cross‐sectional variation in the data. We find robust evidence that an increase in corruption increases income inequality. (JEL D31, D73, I32)     

CORRUPTION AND CORPORATE FINANCE PATTERNS: AN INTERNATIONAL PERSPECTIVE

Abstract.  This study demonstrates the importance of government corruption in shaping corporate finance patterns across countries. Corruption contributes to a more prevalent and higher degree of corporate equity ownership concentration and more reliance on bank financing in raising external finance. It argues that corporate governance under corrupt governments is particularly poor. Firm management, taking advantage of political capital acquired through bribery, is especially powerful in expropriating from outside investors. Ownership concentration and reliance on bank financing are means of mitigating the corporate governance problem under a corrupt government.     

A panel data analysis of the effect of corruption on tourism

This study empirically tests the hypothesis that corruption has a negative effect on tourism. Having to pay bribes while on holiday or a business trip increases the costs of travelling to a country where corruption is prevalent. Tourists are thus more likely to travel to countries where these additional costs do not need to be incurred. This hypothesis is tested using a panel data set of over 100 countries and 16 years. The results indicate that a 1-point increase in the Corruption Perception Index (implying a decrease in corruption) results in a 2% to 7% increase in tourist inflows. In addition, tourist inflows rise with GDP per capita, openness and growth and are higher in countries with a temperate climate.