• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.1
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• pp.188-194
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• 2011

Using cross-section of 83 countries, this paper empirically examines the relationship between corruption and government expenditure volatility. A country's corruption is denoted by either control of corruption, compiled by Kaufmann et al. (2008), or corruption perceptions index, provided by Transparency International. In addition, a country's government expenditure volatility is measured by the standard deviation of the change ratio of government expenditure from 1990 to 2005. Regression results suggest that a country's control of corruption and corruption perceptions index (higher ratings signifying more transparency) are significantly and negatively associated with the volatility of government expenditure. However, the estimated coefficients of corruption perceptions index show somewhat reduced statistical significances. The results are robust to the sub-sample of countries excluding European OECD countries. Therefore, the regression results suggest corrupt bureaucrats are able to periodically change economic rules of the game, which results in the possibility of a higher variance in government expenditure.

• Journal of Digital Convergence
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• v.18 no.10
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• pp.129-136
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• 2020

The purpose of this study is to identify the influence of external-social and cultural factors on the perception of corruption in the public society through the Structural Equation Model(SEM) and to seek ways to reduce corruption in the public society. Currently the level of corruption in public sectors that people think is still large, and it is necessary to continuously reduce corruption in public sectors in order to improve national competitiveness. Since one society is a part of a country in system theory and social network theory, public society needs quantitative research in order to find the causes of corruption and solve them. The model was built and the variables were defined in SEM based on 600 questionnaires. As a result of analysis, corruption in public offices has decreased since the implementation of the solicitation and graft law, and socio-cultural factors have had a direct impact on corruption in public offices. The further research area is to seek detailed ways for transforming the education and awareness of civil society across the country in addition to the efforts of the public officials themselves in order to reduce corruption in public offices.

• Asian Journal of Innovation and Policy
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• v.10 no.2
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• pp.177-194
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• 2021

This research is based on the scope that the disruptive technology known as Blockchain has to face corruption in different phases and spheres of government. This technological method is increasing its acceptance in various socio-economic aspects in recent years, the paper's emphasis is placed on Mexico, and nevertheless it practically can be used to reduce corruption in all countries around the world. The materials and method carried out for this research was a literature review in diverse databases with the most recent literature where some applications, uses and hypothetical cases of the implementation of Blockchain within the government framework in order to reduce corruption were highlighted. The results of this research suggest that the Mexican government can reduce some types of corruption, especially those related to money and collusions, such as biddings/government tenders, government procurement and acquisitions, audits in government agencies, in the embezzlement or diversion of funds, as well as in land registration.

• International Journal of Computer Science & Network Security
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• v.22 no.3
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• pp.17-22
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• 2022

This article defines the process of formation of anti-corruption consciousness as one of the areas of interaction between public authorities and civil society institutions. It is concluded that the implementation of the state anti-corruption policy in Ukraine may be more promising if the institutions of civil society are actively involved. The degree of citizen engagement can be increased by increasing social trust, as well as by increasing the level of political and legal education and culture. Particular attention should be paid to the organization of public control and monitoring of the activities of public authorities, impartial coverage of information on the fight against corruption in the media, as well as the joint conduct of an information and educational campaign and the promotion of the formation of anti-corruption consciousness among a large number of citizens.

• Journal of Arbitration Studies
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• v.33 no.3
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• pp.31-68
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• 2023

In recent years, French courts have decided to adopt an uncompromising stance in the fight against corruption in international arbitration. While French enforcement/annulment courts were originally conducting a limited review of arbitral awards dealing with corruption allegations on international public policy grounds, they now carry a full re-examination of such awards accepting that a corruption plea be raised for the first time before them and admitting new evidence. What is at stake, in terms of international public policy, is to define the happy medium between, on the one hand, the necessity to preserve the enforceability of international arbitral awards, and, the necessity to fight corruption. This paper presents the evolution of French case law in the past years and makes a critical assessment of the French approach by comparison with other jurisdictions.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.2
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• pp.369-376
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• 2018

The majority of construction projects, from the initiation phase to the project completion and operation phase, are influenced by various types of corruption. Iran, as a developing country, has been suffering from this issue in bidding, tendering procedure, contracts etc. Therefore, due to the importance of this issue, this study attempted to identify the causes of corruption and evaluate the most significant factors in the construction projects in Iran. To this aim, an intensive literature review was performed to investigate the various types of corruption and identify the potential factors causing corruption in construction projects. The questionnaire survey was designed, considering twelve forms of corruption, including 77 causes of corruption in construction projects in Iran. Out of 220 distributed questionnaires, 188 were returned by the participants. The valid collected data sets were analyzed and then Exploratory Factor Analysis was applied. It was discovered that "Inappropriate power-sharing," "Lack of obligation for human resources to properly use resources and abide by the rules and regulations" and "Lack of any monitoring of the government's performance" are the most significant factors. Findings from the study would be valuable for the construction projects authorities and academia in order to combat corruption in the construction projects.

• International Journal of Contents
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• v.8 no.2
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• pp.82-88
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• 2012

Fraud and corruption is a problem that undermines the credibility and integrity of all sport. It affects fans, owners, shareholders, officials, and players. With the recent scandal in the K-League in Korea, the importance of maintaining the integrity of Korean football is presently of great importance. While other European or Asian football leagues have been plagued with fraud and corruption, Korea has maintained its professional sporting integrity successfully until recent times. This paper is an examination as to why players in the K-League succumbed to match- fixing in 2011. Firstly, we discuss the important role of sport in Korea, which is not to be underestimated. Secondly, we briefly illustrate the range and types of fraud and corruption in international football. Thirdly, we focus on the match-fixing and gambling scandal currently engulfing the K-League. Fourthly, we make some practical suggestions on how to combat and increase resilience to fraud and corruption in football. Finally, in the conclusion, we suggest that much needs to be done to reduce the incident of fraud and corruption in football worldwide, particularly through employing a clear counter fraud strategy.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.73-84
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• 2020

The study aims to investigate the dual effects of corruption control on economic growth in relationship with the stock market and trade openness in developing countries. The study used difference S-GMM method on the dynamic panel data model in the period (2002-2017) with data collected from the World Bank. The study discovers the dominant impacts of corruption control in the relationship with the stock market on economic growth. At the same time, the study also confirms the overwhelming impact of corruption control in the relationship between trade openness and economic growth in the developing countries. In addition, the study shows that inefficient stock markets in developing countries will not promote economic growth. Meanwhile, the long-standing credit market has a positive impact on economic growth. With the strong development of stock market and trade openness in the period (2002-2017), control on corruption in developing countries does not get better in time with the increase in demand. The findings of this study suggest a number of solutions to strengthen corruption control, leading to the increased efficiency on the stock market and as well as encouraging the positive effects of trade openness to contribute to promoting economic growth in developing countries.

• Asia-Pacific Journal of Business
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• v.12 no.4
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• pp.13-40
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• 2021

Purpose - The purpose of this study is to predict corporate corruption in emerging markets such as Brazil, Russia, India, and China (BRIC) using different machine learning techniques. Since corruption is a significant problem that can affect corporate performance, particularly in emerging markets, it is important to correctly identify whether a company engages in corrupt practices. Design/methodology/approach - In order to address the research question, we employ predictive analytic techniques (machine learning methods). Using the World Bank Enterprise Survey Data, this study evaluates various predictive models generated by seven supervised learning algorithms: k-Nearest Neighbour (k-NN), Naïve Bayes (NB), Decision Tree (DT), Decision Rules (DR), Logistic Regression (LR), Support Vector Machines (SVM), and Artificial Neural Network (ANN). Findings - We find that DT, DR, SVM and ANN create highly accurate models (over 90% of accuracy). Among various factors, firm age is the most significant, while several other determinants such as source of working capital, top manager experience, and the number of permanent full-time employees also contribute to company corruption. Research implications or Originality - This research successfully demonstrates how machine learning can be applied to predict corporate corruption and also identifies the major causes of corporate corruption.

• International Journal of Computer Science & Network Security
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• v.22 no.11
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• pp.57-62
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• 2022

Today, in many countries of the world, the problems of forming and implementing anti-corruption policies are among the most pressing, since the scale of the spread of corruption poses a real threat to national security and democratic development. Without a victory over corruption as a system of social relations, any country will never be able to ensure the safety of its citizens, have a high standard of living, build an efficient economy and a democratic state based on the rule of law, protect its sovereignty, and become competitive among the developed countries of the world community. The main purpose of the article is to analyze the key aspects of the anti-corruption policy of ensuring public order in the state security system. The research methodology includes methods for researching aspects of the anti-corruption policy of ensuring public order in the state security system. Based on the results of the study, the main aspects of the anti-corruption policy of ensuring public order in the state security system are characterized.