• 한국산학기술학회논문지
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• 제12권1호
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• pp.188-194
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• 2011

본 연구에서는 83개 국가 간 통계자료를 이용해 부패와 정부지출의 변동성 간의 관련성을 검토했다. 한 국가의 부패의 정도는 Kaufmann et al.(2008)에서 제공한 부패의 통제와 국제투명성기구에서 제공한 부패인식지수로 나타내며, 정부지출의 변동성은 1990~2005년 기간의 연도별 정부지출 변동률의 표준편차를 이용한다. 실증분석 결과한 국가의 부패의 통제와 부패인식지수(높은 수치일수록 투명함)는 정부지출의 변동성에 통계적으로 유의한 음(-)의 영향을 미치는 것으로 추정됐다. 그러나 한 국가의 부패의 정도를 부패인식지수로 나타낼 경우 그 추정계수의 통계적 유의성은 다소 감소했다. 이상의 결과는 유럽의 OECD 국가를 제외한 작은 수의 표본에 대해서도 여전히 성립했다. 그러므로 본 연구의 실증분석 결과는 부패한 국가의 정부관리 혹은 정치인은 경제운영과 관련된 규칙을 불규칙적으로 변동시켜 자신들의 영역을 강화시키려는 경향이 있기 때문에 정부지출의 변동성이 상대적으로 크게 나타날 가능성을 시사한다.

• 디지털융복합연구
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• 제18권10호
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• pp.129-136
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• 2020

본 연구의 목적은 외부-사회문화적인 요인이 공직사회 부정부패 인식에 미치는 영향을 구조방정식 모델(SEM)을 통해 정량적으로 확인하고, 공직사회 부정부패를 줄이는 방안을 모색하는데 있다. 현재 국민들이 바라보는 공직 부정부패 수준은 상당하며, 더 나은 국가 경쟁력 제고를 위해서도 공직 부정부패를 지속적으로 감소시킬 필요가 있다. 시스템 이론이나 사회 연결망 이론에 비추어 공직사회도 한 국가의 일부로써 공직사회는 외부와 상호작용하고 있다는 확장된 인식을 바탕으로 한 연구가 필요하다. 600명의 설문 결과를 바탕으로 변수들이 정의되어 모델이 구축 되었으며, 분석결과 청탁금지법 시행 이후 공직부패는 줄어들었으며 사회문화적인 요인들이 공직사회에 부정부패에 직접적인 영향을 미치는 것으로 나타났다. 추후에는 공직 부정부패 감소를 위해서는 공직사회 자체적인 노력 외에도 국가 전체적인 시민사회의 교육과 인식의 전환 방안에 대한 구체적인 연구가 필요하다.

• Asian Journal of Innovation and Policy
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• 제10권2호
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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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• 제22권3호
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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.

• 한국중재학회지:중재연구
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• 제33권3호
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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.

• 대한토목학회논문집
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• 제38권2호
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• pp.369-376
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• 2018

대부분의 건설 프로젝트는 초기단계에서부터 준공 운영단계에 이르기까지 다양한 유형의 부패에 영향을 받고 있다. 개발 도상국인 이란은 입찰, 투찰 과정, 계약 등에서 부패 문제로 어려움을 겪고 있다. 본 연구에서는 이란 건설 프로젝트를 대상으로 부패의 원인을 파악하고 그 중요도를 평가하고자 한다. 이를 위해 문헌연구를 통해 다양한 유형의 부패에 대해 조사하고 건설 프로젝트에 부패를 유발할 수 있는 잠재적 요소를 설문조사를 통해 파악하고자 한다. 설문지는 이란 건설 프로젝트에서 77가지 부패 원인을 포함하여 12 가지 유형의 부패를 고려하여 고안되었다. 수집된 설문지의 분석 및 탐색적 요인분석(EFA)을 통하여 "부적절한 권한 배분" 등 4가지의 주요 요인이 도출되었다. 본 연구 결과는 건설관계자와 학자들에게 도움이 될 것으로 사료된다.

• International Journal of Contents
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• 제8권2호
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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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• 제7권12호
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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.

• 아태비즈니스연구
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• 제12권4호
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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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• 제22권11호
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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.