Keywords:
corruption
law enforcement
judicial bodies
justice system
control mechanism
prevention of corruption

  • Abstract

     This article explores how corruption and the legal system interact, focusing on possible ways to reform anti-corruption efforts. The authors analyse the impact of corruption on the effectiveness of legal institutions and processes. They also evaluate various strategies and measures to mitigate corruption in the legal sector. The study examines internal and external factors affecting corruption in the legal system. It offers practical recommendations for developing effective mechanisms for controlling and curbing corruption in law enforcement and judicial bodies. The article aims to analyse the interrelationships and find possible ways to reform and prevent corruption in the legal system. The paper presents a structural scheme for determining how corruption and the legal system interact and describes possible ways of reform. Such methods as observation and analysis of practices and experimental research were employed in the study. The authors analyse various aspects of corruption in the legal sector, including its causes, consequences, and methods of counteraction. The paper also discusses the mechanisms of legislative, administrative, and institutional reforms aimed at strengthening the legal system and preventing corruption. The authors offer a set of practical recommendations for improving the effectiveness of the legal system and fighting corruption, taking into account the specifics of different legal traditions and contexts. The authors present a model of the interrelation between the legal system and corruption and ways of reforms to address it. A study was conducted to assess the adequacy of the model linking the legal system and corruption, as well as reform pathways, through a survey of 62 legal system representatives. The research was carried out in three stages, during which the causes of corruption, approaches to reforming the legal system, and methods for combating corruption were identified. Subsequently, the most effective methods for combating corruption were highlighted according to the outlined evaluation criteria.

  • References

    1. Anguelov, K. (2019). Opportunities for prevention of corruption in public procurement in electricity distribution companies in Bulgaria. In 2019 16th Conference on Electrical Machines, Drives and Power Systems (ELMA), 1–3. https://doi.org/10.1109/ELMA.2019.8771508
    2. Asgar, Mochmad & Nurjaya, I & Sugiri, Bambang & Anshari, Tunggul. (2021). Legal protection justice collaborators in corruption justice system. International Journal of Research in Business and Social Science, 10, 306-316. https://doi.org/10.20525/ijrbs.v10i6.1340.
    3. Bondarenko, S., Makeieva, O., Usachenko, O., Veklych, V., Arifkhodzhaieva, T., & Lernyk, S. (2022). The legal mechanisms for information security in the context of digitalisation. Journal of Information Technology Management, 14, 25–58. https://doi.org/10.22059/JITM.2022.88868
    4. Chen, Y., Ding, Y., Mao, L., Pan, Y., & Wang, X. (2024). How corruption prevails: A laboratory experiment. China Economic Review, 102290. https://doi.org/10.1016/j.chieco.2024.102290
    5. Dastidar, K. G., & Jain, S. (2023). Incompetence and corruption in procurement auctions. Economics of Governance, 24, 421–451. https://doi.org/10.1007/s10101-023-00296-3
    6. Delima, P. M., & Dachyar, M. (2020). Advancing the E-Tendering information system to counter corruption by proposing anti-corruption SMART tools. In 2020 3rd International Conference on Applied Engineering (ICAE), 1–8. https://doi.org/10.1109/ICAE50557.2020.9350554
    7. Desierto, D. A. (2023). Corruption for competence. Economics of Governance, 24, 399–420. https://doi.org/10.1007/s10101-023-00295-4
    8. Duisenbayeva, G., Apakhayev, N., Batyrbay, N., Moldabekova, Z., & Nussubaliyeva, M. (2024). Social determinants of corruption and legal methods of counteracting it in the modern conditions. Social Legal Studios, 7, 210-221. https://doi.org/10.32518/sals2.2024.210
    9. Gao, X., & Zhang, C. (2020). The effects of executive compensation incentive on implicit corruption in China based on multiple linear regression model. In 2020 Management Science Informatization and Economic Innovation Development Conference (MSIEID), 85–88. Guangzhou, China. https://doi.org/10.1109/MSIEID52046.2020.00024
    10. Goel, R. K., Mazhar, U., & Ram, R. (2022). Dimensions of size and corruption perceptions versus corruption experiences by firms in emerging economies. Journal of Economics and Finance, 46, 374–396. https://doi.org/10.1007/s12197-022-09571-1
    11. Ida, Gani, H., Faisal, M., & Rosnani. (2021). Optimal auto-calling algorithm for real-time condition reporting by corruption handling officer. In 2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE), 1–4. Kuala Lumpur, Malaysia. https://doi.org/10.1109/ICECCE52056.2021.9514195
    12. Juhana, A., Yusuf, R., Irawan, K., Santoso, T. A. P., Elindriyani, R. V., & Dermawan, K. F. (2020). Speak-up against the spread of corruption: An analytical modelling using multi-agent system (MAS). In 2020 6th International Conference on Interactive Digital Media (ICIDM), 1–6. https://doi.org/10.1109/ICIDM51048.2020.9339628
    13. Khoury, J. E., & Harik, R. (2021). Manufacturing versus corruption: Who wins? SAE, i-x. https://doi.org/10.4271/9781468603590
    14. Khurniawan, F. S., & Ruldeviyani, Y. (2020). Twitter sentiment analysis: Case study on the revision of the Indonesia’s Corruption Eradication Commission (KPK) Law 2019. In 2020 International Conference on Data Science and Its Applications (ICoDSA), 1–6. Bandung, Indonesia. https://doi.org/10.1109/ICoDSA50139.2020.9212851
    15. Kopytko, M., Podra, O., Veresklya, M., & Vinnichuk, M. (2019). Strategic priorities for combating corruption under conditions of global financial and economic challengers. In 2019 IEEE International Scientific-Practical Conference Problems of Infocommunications, Science, and Technology (PIC S&T), 465–470. https://doi.org/10.1109/PICST47496.2019.9061458
    16. Kussainov, K., Goncharuk, N., Prokopenko, L., Pershko, L., Vyshnivska, B., & Akimov, O. (2023). Anti-corruption management mechanisms and the construction of a security landscape in the financial sector of the EU economic system against the background of challenges to European integration: Implications for artificial intelligence technologies. Economic Affairs (New Delhi), 68(1), 509–521. https://doi.org/10.46852/0424-2513.1.2023.20
    17. Lu, Q., & Zhang, Y. (2020). Corruption, process of marketisation and cash dividend policies. In 2020 16th Dahe Fortune China Forum and Chinese High-educational Management Annual Academic Conference (DFHMC), 60–63. https://doi.org/10.1109/DFHMC52214.2020.00019
    18. Luo, M., Deng, X., & Zhang, N. (2023). Understanding the critical inducers of international contractors’ corruption. KSCE Journal of Civil Engineering, 27, 3659–3673. https://doi.org/10.1007/s12205-023-2160-z
    19. Melnyk, D. S., Parfylo, O. A., Butenko, O. V., Tykhonova, O. V., & Zarosylo, V. O. (2022). Practice of the member states of the European Union in the field of anti-corruption regulation. Journal of Financial Crime, 29(3), 853–863. https://doi.org/10.1108/JFC-03-2021-0050
    20. Modesto, J. G., & Pilati, R. (2023). The impact of loss aversion on corruption. Trends in Psychology, 1, 1–5. https://doi.org/10.1007/s43076-023-00300-z
    21. Mondosiyoko, Hairu & Wardiono, Kelik & Harun, Harun & Achmadi, Achmadi & Budiono, Arief. (2024). Contante Justitie System in Corruption Cases in Indonesia: A Legal Constructivism System Paradigm. International Journal of Religion, 5, 574-586. https://doi.org/10.61707/1rws6923.
    22. Montes, Gabriel & Luna, Paulo. (2021). Fiscal transparency, legal system and perception of the control on corruption: empirical evidence from panel data. Empirical Economics. 60. https://doi.org/10.1007/s00181-020-01849-9.
    23. Mladenov, Mladen. (2024). New anti-corruption concept and challenges before the Bulgarian legal system. Politics & Security, 7, 14-20. https://doi.org/10.5281/zenodo.10546469
    24. Nurlina, D. M., Kristin, A. M., Muqsith, M., Mursitama, T. N., Sasmoko, & Makalew, B. A. (2019). A design of crowd-based corruption prevention system in Indonesia: Indonesia Corruption Map. In 2019 International Conference on Information Management and Technology (ICIMTech), 367–372. https://doi.org/10.1109/ICIMTech.2019.8843839
    25. Ndjokou, I., Tsopmo, P. C., & Messy, M. (2024). Re-examining the curse of natural resources in SSA: New evidence from disaggregated natural resources and types of corruption. Journal of Economic Criminology, 5, 100072. https://doi.org/10.1016/j.jeconc.2024.100072
    26. Odilla, F. (2023). Bots against corruption: Exploring the benefits and limitations of AI-based anti-corruption technology. Crime, Law and Social Change, 80, 353–396. https://doi.org/10.1007/s10611-023-10091-0
    27. Omelchuk, O. M., Haiur, I. Y., Kozytska, O. G., Prysiazhna, A. V., & Khmelevska, N. V. (2022). Analysis of the activities of law enforcement authorities in the field of combating crime and corruption offences. Journal of Money Laundering Control, 25(3), 700–716. https://doi.org/10.1108/JMLC-07-2021-0073
    28. Pan, Y., Shu, Z., & Ye, Z. (2023). Exploring the dynamics of corruption perceptions in sustained anti-corruption campaigns: A survey experiment in China. Humanities and Social Sciences Communications, 10(1), 570. https://doi.org/10.1057/s41599-023-02084-0
    29. Parker, S. C. (2024). Democracy, corruption, and endogenous entrepreneurship policy. Public Choice, 198, 361–376. https://doi.org/10.1007/s11127-023-01133-1
    30. Parkhomenko, N., Podorozhna, T., Tarakhonych, T., Husarev, S., & Biloskurska, O. (2024). Implementation of the Association Agreement with the EU by adapting Ukrainian legislation to EU law. Social Legal Studios, 7, 184-193. https://doi.org/10.32518/sals1.2024.184
    31. Perumal, K. (2023). Rethinking global anti-corruption campaign. Journal of Social and Economic Development, 25, 365–379. https://doi.org/10.1007/s40847-023-00237-0
    32. Petrović, M. (2022). European Union and Ukraine: The strategic partnership leading to (some) where? International Problems, 74(1), 75-101. https://doi.org/10.2298/MEDJP2201075P
    33. Prado, M. (2024). Redundancy as a Legal Strategy to Combat Corruption: Exploring the Potential of Institutional Multiplicity to Create Fail-Safe Systems. Current Legal Problems, 23 August. https://doi.org/10.1093/clp/cuae010.
    34. Pramanik, A., Sarker, A., Islam, Z., & Hashem, M. M. A. (2020). Public sector corruption analysis with modified K-means algorithm using perception data. In 2020 11th International Conference on Electrical and Computer Engineering (ICECE), 198–201. https://doi.org/10.1109/ICECE51571.2020.9393110
    35. Purwanto, A., & Emanuel, A. W. R. (2020). Data analysis for corruption indications on procurement of goods and services. In 2020 3rd International Conference on Information and Communications Technology (ICOIACT), 56-60. Yogyakarta, Indonesia. https://doi.org/10.1109/ICOIACT50329.2020.9331959
    36. Resolution of the Cabinet of Ministers of Ukraine No. 451-2023-p “On Approval of the Procedure for Translating into Ukrainian Acts of the European Union’s Acquis Communautaire and into English Acts of Ukrainian Legislation Related to the Fulfilment of Ukraine’s Obligations in the Field of European Integration”. (2023, May). https://zakon.rada.gov.ua. Accessed on October 13, 2024.
    37. Resolution of the Verkhovna Rada of Ukraine No. 2298-IX “On the Appeal of the Verkhovna Rada of Ukraine to the Member States of the European Union and its Institutions to Support the Granting of Candidate Status to Ukraine for Accession to the European Union”. (2022, June). https://zakon.rada.gov.ua. Accessed on October 13, 2024.
    38. Sylkin, O., & Kopytko, M. (2023). Modelling information support for combating corruption in the economic security management system of the state. Social Legal Studios, 6, 60-66. https://doi.org/10.32518/sals3.2023.60
    39. Tintin, R. A., Chávez, C. C., Altamirano, J. P., & Tintin, L. M. (2018). Could E-government development contribute to reduce corruption globally? In 2018 International Conference on eDemocracy & eGovernment (ICEDEG), 187–194. https://doi.org/10.1109/ICEDEG.2018.8372366
    40. Trabelsi, M. A. (2024). The impact of corruption on economic growth: A non-linear evidence. Journal of Social and Economic Development, 1, 1–5. https://doi.org/10.1007/s40847-023-00301-9
    41. Utomo, V. G., Dewi, R. A., Marutho, D., & Hidayat, A. (2021). Analyse corporate anti-corruption disclosure with feature selection. In 2021 International Seminar on Application for Technology of Information and Communication (iSemantic), 234–237. Semarang, Indonesia. https://doi.org/10.1109/iSemantic52711.2021.9573198
    42. Wang, P., & Huang, M. (2022). Technological and organisational model of IoT anti-corruption system: Evidence from China. In 2022 International Symposium on Networks, Computers, and Communications (ISNCC), 1–5. Shenzhen, China. https://doi.org/10.1109/ISNCC55209.2022.9851757
    43. Zhang, M., Zhang, H., Zhang, L., et al. (2023). Corruption, anti-corruption, and economic development. Humanities and Social Sciences Communications, 10(1), 434. https://doi.org/10.1057/s41599-023-01930-5
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Copyright (c) 2024 The Authors

How to cite

Yuzyuk, A., Vasylchyshyn, O., Zarichanskyi, O., Pidpala, I., & Kubaienko, A. (2024). Addressing corruption through legal reform: Exploring connections and pathways for change. Multidisciplinary Reviews, 8, 2024spe082. https://doi.org/10.31893/multirev.2024spe082
Crossref
Scopus
Google Scholar
Europe PMC
  • Article viewed - 196
  • PDF downloaded - 130