FROM TRADITIONAL TO DIGITAL ECONOMY: RESHAPING ANTI-CORRUPTION POLICIES FOR SUSTAINABLE DEVELOPMENT
DOI:
https://doi.org/10.5281/zenodo.15401630Anahtar Kelimeler:
Anti-Corruption Policies, Transparency, Ethical Leadership, Sustainable Development, Didgital SocietyÖzet
The article explores the transformative impact of digital tools and methodologies on anti-corruption efforts. Modern studies on social and administrative determinants of economic behavior were analyzed, and it was established that these studies have enhanced the efficacy of these measures through advanced data analysis and policy evaluation techniques, such as Randomized Controlled Trials (RCTs) and Instrumental Variables (IV). However, the article cautions against overreliance on quantitative methods and technology, emphasizing the need for ethical considerations and human judgment to address nuanced corruption. Transparent financial systems and blockchain technology are highlighted as pivotal in reducing corruption by enhancing traceability and accountability. Despite these advancements, challenges such as cybersecurity risks, implementation costs, and resistance from vested interests persist.
The article advocates for a balanced approach that integrates technological innovations with ethical principles and systemic reforms to foster a transparent, accountable, and corruption-free digital society. It is argued that the new logic of anti-corruption policies is based on evidence-based policy research, the use of instrumental variables, the determination of causal relationships through natural experiments in anti-corruption policy and the economic behavior of all stakeholders, which is critically important for the effectiveness of anti-corruption measures.
This article explores the dual role of digitalization in shaping modern anti-corruption strategies. On the one hand, transparency in financial transactions significantly deters corrupt behavior by increasing traceability and accountability. Blockchain technology, in particular, enhances trust by offering immutable records and decentralized control, limiting opportunities for manipulation. On the other hand, the adoption of digital solutions must be accompanied by careful consideration of their limitations, including cybersecurity vulnerabilities, implementation costs, and resistance from stakeholders benefiting from existing corrupt practices.
Referanslar
Becker, G. S. (1968). Crime and punishment: An economic approach. Journal of Political Economy, 76(2), 169–217.
Kahneman, D., Knetsch, J. L., & Thaler, R. (1986). Fairness as a constraint on profit seeking: Entitlements in the market. The American Economic Review, 76(4), 728–741. https://www.jstor.org/stable/1806070
Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–291. https://doi.org/10.2307/1914185
Smith, V. L. (2018). Experimental economics. In The New Palgrave Dictionary of Economics (pp. 4215–4233). https://doi.org/10.1057/978-1-349-95189-5_2122
Smith, V. L. (1980). Relevance of laboratory experiments to testing resource allocation theory. University of Arizona. http://www.nber.org/chapters/c11710
Thaler, R. H. (2015). Misbehaving: The making of behavioral economics. W. W. Norton.
Thaler, R. H., & Benartzi, S. (2004). Save more tomorrow: Using behavioral economics to increase employee saving. Journal of Political Economy, 112(1), S164–S187.
Thaler, R. H., & Sunstein, C. (2003). Libertarian paternalism. American Economic Review, 93(2), 175–179. https://doi.org/10.1257/000282803321947001
Angrist, J. D., Dynarski, S. M., Kane, T. J., Pathak, P. A., & Walters, C. R. (2012). Who benefits from KIPP? Journal of Policy Analysis and Management, 31(4), 837–860.
Angrist, J. D., & Pischke, J.-S. (2010). The credibility revolution in empirical economics: How better research design is taking the con out of econometrics. Journal of Economic Perspectives, 24(2), 3–30.
Angrist, J. D. (2021). Empirical strategies in economics: Illuminating the path from cause to effect. Nobel Prize in Economics Documents, 2021-4.
Imbens, G. W., & Rubin, D. B. (1997). Estimating outcome distributions for compliers in instrumental variables models. The Review of Economic Studies, 64(4), 555–574.
Card, D. (2022). Design-based research in empirical microeconomics. American Economic Review, 112(6), 1773–1781. https://doi.org/10.1257/aer.112.6.1773
Earl, P. E. (2018). Richard H. Thaler: A Nobel prize for behavioural economics. Review of Political Economy, 30(2), 107–125. https://doi.org/10.1080/09538259.2018.1513236
Shahab, S., & Lades, L. (2021). Sludge and transaction costs. Behavioural Public Policy, 1–22. https://doi.org/10.1017/bpp.2021.12
Trueblood, J. S. (2022). Theories of context effects in multi-alternative, multi-attribute choice. Current Directions in Psychological Science, 31(5). https://doi.org/10.1177/09637214221109587
Zhao, W. J., Coady, A., & Bhatia, S. (2022). Computational mechanisms for context-based behavioral interventions: A large-scale analysis. Proceedings of the National Academy of Sciences, 119(15), e2114914119.
Pierre, J. A. (2015). Corruption: Complexity and the achievement of international law. Tumultes, 45(2), 147–162.
Melese, F. (n.d.). A strategic approach to building integrity and reducing corruption in defence. DCAF. https://defenceintegrity.eu/en/publication/strategic-approach-building-integrity-and-reducing-corruption-defence
Slobogin, C. (2023). The rationality of criminality. JOTWELL. https://crim.jotwell.com/the-rationality-of-criminality/
Yermachenko, V., Bondarenko, D., Akimova, L., Karpa, M., Akimov, O., & Kalashnyk, N. (2023). Theory and practice of public management of smart infrastructure in the conditions of the digital society’s development: Socio-economic aspects. Economic Affairs, 68(1), 617–633. https://doi.org/10.46852/0424-2513.1.2023.29
Kalashnyk, N., et al. (2024). Challanges in the professional development of public servants amid new realities in adult education: Conceptualization of competence and system approaches. Rēzeknes Tehnoloģiju akadēmija. https://doi.org/10.17770/sie2024vol2.7815
Petticrew, M., Maani, N., Pettigrew, L., Rutter, H., & Van Schalkwyk, M. C. (2020). Dark nudges and sludge in big alcohol: Behavioral economics, cognitive biases, and alcohol industry corporate social responsibility. The Milbank Quarterly, 98, 1290–1328. https://doi.org/10.1111/1468-0009.12475
İndir
Yayınlanmış
Nasıl Atıf Yapılır
Sayı
Bölüm
Lisans
Telif Hakkı (c) 2025 Nadiia KALASHNYK, Pavlo KYRYLENKO

Bu çalışma Creative Commons Attribution 4.0 International License ile lisanslanmıştır.