Does technology matter for combating economic and financial crime? A panel data study

    Monica Violeta Achim Affiliation
    ; Sorin Nicolae Borlea   Affiliation
    ; Viorela Ligia Văidean   Affiliation


In this paper we analyze the influence of technology on the level of the economic and financial crime, using data for 185 countries over the 2012–2015 time period and controlling for many important variables. First, we find that on average, the size of the economic and financial crime in low income countries is about double compared to that of high income countries, while their Research and development expenditure (as % of GDP) are about four times lower than in high income countries. We find clear evidence that increased technology reduces the size of the economic and financial crime. In addition, we find that Research and development expenditure (% of GDP) matter more in reducing the economic and financial crime in low income countries than they do in high income countries. Our main findings are generally stable after conducting some robustness checks. From a policy perspective, our study may prove to be of great use to decision makers of the states, to government and non-governmental enterprises and to potential investors within different markets.

First published online 6 January 2021

Keyword : technology, economic and financial crime index, corruption, shadow economy, money laundering

How to Cite
Achim, M. V., Borlea, S. N., & Văidean, V. L. (2021). Does technology matter for combating economic and financial crime? A panel data study. Technological and Economic Development of Economy, 27(1), 223-261.
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Jan 18, 2021
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Achim, M. V., & Borlea, N. S. (2020). Economic and financial crime. Corruption, shadow economy, and money laundering. Springer Nature Switzerland AG.

Achim, M. V., Borlea, N. S., Găban, L., & Cuceu, I. C. (2018). Rethinking the shadow economy in terms of happiness: Evidence for the European Union member states. Technological and Economic Development of Economy, 24(1), 199–228.

Adam, I., & Fazekas, M. (2019). Are emerging technologies helping win the fight against corruption in developing countries? (Pathways for Prosperity Commission Background Paper Series No. 21). Oxford, United Kingdom.

Adema, W. (2006). Social assistance policy development and the provision of a decent level of income in selected OECD countries. (OECD Social, Employment and Migration Working Papers 38). OECD Publishing.

Ali, M. A., Azad, M. A., Centeno, M. P., Hao, F., & van Moorsel, A. (2019). Consumer-facing technology fraud: Economics, attack methods and potential solutions, Future Generation Computer Systems, 100, 408–427.

Amoore, L., & de Goede, M. (2005). Governance, risk, and data veillance in the war on terror. Crime, Law, and Social Change, 43, 149–173.

Aniţei, N. C., & Lazăr, R. E. (2016). Evaziunea fiscală între legalitate și infracţiune [The tax evasion between legality and crime]. Universul Juridic Publishing House.

Ardizzi, G., Petraglia, C., Piacenza, M., Schneider, F., & Turati, G. (2014). money laundering as a crime in the financial sector: A new approach to quantitative assessment, with an application to Italy. Journal of Money, Credit and Banking, 46(8), 1555–1590.

Bajada, C., & Schneider, F. (2009). Unemployment and the Shadow Economy in the OECD. Revue économique, 5(60), 1033–1067.

Basel Institute on Governance. (2020). Basel AML Index. Retreived September 20, 2019, from

Bilgin, M. H., Marco Lau, C. K., & Karabulut, G. (2011). Technology transfer and enterprise performance: a firm-level analysis in China. Journal of Business Economics and Management, 13(3), 489–498.

Bird, R. M., & Zolt, E. M. (2008). Technology and taxation in developing countries: From hand to mouse. National Tax Journal, 61(4), 791–821.

Bouzid, B. N. (2016). Dynamic relationship between corruption and youth unemployment: empirical evidences from a system GMM approach (English) (Policy Research working paper No. WPS 7842). World Bank Group, Washington, D.C.

Brunetti, A., & Weder, B. (2003). A free press is bad news for corruption. Journal of Public Economics, 87(7), 1801–1824.

Caselli, F., & Michaels, G. (2013). Do oil windfalls improve living standards? Evidence from Brazil. American Economic Journal: Applied Economics, 5(1), 208–238.

Chong, A., & López-de-Silanes, F. (2007). Money laundering and its regulations (Working paper). Inter-American Development Bank, Research Department, No. 590.

Crowe, M. T. (1944). The moral obligation of paying just taxes [Doctoral Dissertation]. Catholic University of America Studies in Sacred Theology No. 84.

deGoede, M. (2008). Risk, preemption, and exception in the war on terrorism financing. In L. Amoore & M. de Goede (Eds.), Risk and the war on terror (pp. 97–111). Routledge.

Dejong, M. (2018). Tax crimes: The fight goes Digital. OECD Centre for Tax Policy and Administration. Retrieved November 19, 2019, from

Dell’Anno, R., & Solomon, O. H. (2008). Shadow economy and unemployment rate in USA: is there a structural relationship? An empirical analysis. Applied Economics, 40(19), 2537–2555.

Dobre, I., Alexandru, A. A., & Lepas, O. (2010). The USA shadow economy and the unemployment rate: Granger causality results. Journal of Applied Quantitative Methods, 5(1), 98–104.

Dreher, A., & Schneider, F. (2010). Corruption and the Shadow economy. An empirical analysis. Public Choice, 144(1), 215–238.

Dreher, A., Kotsogiannis, C., & McCorriston, S. (2009). How do institutions affect corruption and the shadow economy?. International Tax and Public Finance, 16(6), 773–796.

Drezewski, R., Sepielak, J., & Filipksowski, W. (2012). System supporting money laundering detection. Digital Investigation, 9(1), 8–21.

Elgin, C., & Oyvat, C. (2013). Lurking in the cities: Urbanization and the informal economy. Structural Change and Economic Dynamics, 27, 36–47.

Engelschalk, M. (2005). Creating a favorable tax environment for small business. In J. Alm, J. MartinezVazquez, & S. Wallace (Eds.), Taxing the hard-to-tax: Lessons from theory and practice (pp. 275–311). Elsevier.

Europol. (2019). Economic crime. Retrieved September 15, 2019, from

Florescu, D. R., & Cuceu, C. I. (2019). Press freedom and development indicators – A panel data study. International Journal Academic Research Business and Social Sciences, 9(3), 1281–1290.

Freedom House. (2020). Freedom House index.

Global Financial Integrity. (2020, March 3). Trade-related illicit financial flows in 135 developing countries: 2008–2017. Retrieved May 19, 2020, from

Gnangnon, S. K. (2020). Internet and tax reform in developing countries. Information Economics and Policy (in press).

Gnimassoun, B., & Massil, J. K. (2016). Determinants of corruption: Can we put all countries in the same basket? (Document de Travail Working Paper 2016-12). Retrieved January 13, 2020, from

Goel, R. K., Nelson, M. A., & Naretta, M. A. (2012). The internet as an indicator of corruption awareness. European Journal of Political Economy, 28, 64–75.

Gogolin, G. (2010). The digital crime tsunami. Digital Investigation, 3, 3–18.

Gronbacher, G. (1998). Taxation: Catholic social thought and classical liberalism. Journal of Accounting, Ethics & Public Policy, (Winter), 91–100.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7 ed.). Pearson Prentice Hall.

Hamilton, R., & Stekelberg, J. (2017). The effect of high-quality information technology on corporate tax avoidance and tax risk. Journal of Information Systems, 31(2), 83–106.

Heinemann, F., & Schneider, F. (2011). Religion and the shadow economy (Discussion paper No. 11-038). Centre for European Economic Research.

Heritage Foundation. (2020). Index of economic freedom. Washington DC.

Heshmati, H. (2016). Economic integration, currency union, and sustainable and inclusive growth in East Africa. Springer International Publishing.

Husted, B. W. (1999). Wealth, culture, and corruption. Journal of International Business Studies, 30, 339–359.

Immordino, G., & Russo, F. F. (2018). Cashless payments and tax evasion. European Journal of Political Economy, 55, 36–43.

Kalenborn, C., & Lessmann, C. (2013), The impact of democracy and press freedom on corruption: Conditionality matters. Journal Policy Model, 35(6), 857–886.

Ko, K., & Moon, S.-G. (2014). The relationship between religion and corruption: Are the proposed causal links empirically valid?. International Review of Public Administration, 19(1), 44–62.

KPMG. (2017). Technology in Tax. Embracing the now & thinking the future. Retrieved 11 January, 2020, from

La Porta, R., Lopez, F., & Shleifer, A. (2008). The economic consequences of legal origins. Journal of Economic Literature, 4(2), 285–332.

La Porta, R., Lopez, F., Shleifer, A., & Vishny, R. W. (1997). Legal determinants of external finance. Journal of Finance, 52(3), 1131–1150.

Lagarde, C. (2016). Addressing corruption–openly. Retrieved September10, 2019, from

Le-Khac, N. A., Markos, S., & Kechadi, M. T. (2009, Septemer 30 – October 2). Towards a new Data Mining-based approach for Anti Money laundering in an international investment bank. In Digital Forensics and Cyber Crime – First International ICST Conference, ICDF2C 2009, Albany, NY, USA. Retrieved December 9, 2019, from

Leţia, A. A. (2014). Investigarea criminalităţii de afaceri [Investigating business crime]. Universul Juridic Publishing House.

Levi, M., & Wall, D. (2004). Technologies, security, and privacy in the post 9/11 European information society. Journal of Law and Society, 31(2), 194–220.

Lv, Z. (2017). Intelligence and corruption: An empirical investigation in a non-linear framework. Journal of Behavioral and Experimental Economics, 69, 83–91.

Máté, D., Sadaf, R., Oláh, J., Popp, J., & Szűcs, E. (2019). The effects of accountability, governance capital, and legal origin on reported frauds. Technological and Economic Development of Economy, 25(6), 1213–1231.

McAfee. (2018). The economic impact of cybercrime – no slowing down. Retrieved January 28, 2020, from

McGee, R. W. (2012). The ethics of tax evasion: Perspectives in theory and practice. Springer, USA.

McGee R. W., Benk, S., & Yüzbaşı, B. (2015). Religion and ethical attitudes toward accepting a bribe: A comparative study. Religions, 6, 1168–1181.

Medina, L., & Schneider, F. (2018). Shadow economies around the world: What did we learn over the last 20 years? (Working Paper WP/18/17). International Monetary Fund.

Murtuza, A., & Ghazanfar, S. M. (1998). Taxation as a form of worship: Exploring the Nature of Zakat. Journal of Accounting, Ethics & Public Policy, (Spring), 134–161.

Mutașcu, M. (2012). Tax revenues under world religions: a panel analysis (MPRA Paper 40337). University Library of Munich, Germany.

Nikoloska, S., & Simonovski, I. (2012). Role of banks as entity in the system for prevention of money laundering in the Macedonia. Procedia – Social and Behavioral Sciences, 44, 453–459.

Okunogbe, O. M., & Pouliquen, V. M. J. (2018). Technology, taxation, and corruption: evidence from the introduction of electronic tax filing (Policy Research working paper No. WPS 8452; Impact Evaluation series). World Bank, Washington, D.C.

Oxford Learner’s Dictionaries. (2020). Oxford University Press.

PricewaterhouseCoopers. (2018). Pulling fraud out of the shadows Global Economic Crime and Fraud Survey 2018. Retrieved August 10, 2019, from

PricewaterhouseCoopers. (2016). Global Economic Crime Survey 2016. Retrieved March 16, 2019, from

Putniņš, T. J., & Sauka, A. (2015). Measuring the shadow economy using company managers. Journal of Comparative Economics, 43, 471–490.

Remeikiene, R., Gaspareniene, L., & Schneider, F. G. (2018). The definition of digital shadow economy. Technological and Economic Development of Economy, 24(2), 696–717.

Richardson, G. (2008). The relationship between culture and tax evasion across countries: Additional evidence and extensions. Journal of International Accounting, Auditing and Taxation, 17, 67–78.

Rider, B. (2015). Research handbook on international financial crime. Edward Elgar Publishing Limited, UK.

Robertson, D. (2016). The Nilson report. Retrieved October 10, 2019, from

Ryman-Tubb, N. F., Krause, P., & Garn, W. (2018). How Artificial Intelligence and machine learning research impacts payment, card fraud detection: A survey and industry benchmark. Engineering Applications of Artificial Intelligence, 76, 130–157.

Sadaf, R., Oláh, J., Popp, J., & Máté, D. (2018). An investigation of the influence of the worldwide governance and competitiveness on accounting fraud cases: A cross-country perspective. Sustainability, 10, 588.

Sadgali, I., Sael, N., & Benabbou, F. (2019). Performance of machine learning techniques in the detection of financial frauds. Procedia Computer Science, 148, 45–54.

Sahnoun, M., & Abdennadher, C. (2019). The nexus between unemployment rate and shadow economy: a comparative analysis of developed and developing countries using a simultaneous-equation model. Economics (Discussion Paper No 2019-30). Kiel Institute for the World Economy. Retrieved July 25, 2020, from

Schansberg, D. E. (1998). The ethics of tax evasion within Biblical Christianity: Are there limits to “Rendering Unto Caesar”?. Journal of Accounting, Ethics & Public Policy, (Winter), 77–90.

Schneider, F. H., & Klinglmair, R. (2004). Shadow economies around the world: What do we know? (Working Paper No. 0403). Universität Linz.

Schneider, F., & Willams, C. C. (2013). The shadow economy. IEA, London.

Schwarz, P. (2011). Money launderers and tax havens: Two sides of the same coin?. International Review of Law and Economics, 31, 37–47.

Serrat, O. (2017). Fighting corruption with ICT: Strengthening civil society’s role. In Knowledge solutions. Springer, Singapore.

Slemrod, J. (1990). Optimal taxation and optimal tax systems. Journal of Economic Perspectives, 4, 157–178.

Stankevičius, E., & Vasiliauskaitė, A. (2014). Tax burden level leverage on size of the shadow economy, cases of EU Countries 2003–2013. Procedia – Social and Behavioral Sciences, 156(26), 548–552.

Suh, J. B., Shimb, H. S., & Buttonc, M. (2018). Exploring the impact of organizational investment on occupational fraud: Mediating effects of ethical culture and monitoring control. International Journal of Law, Crime and Justice, 53, 46–55.

Tandean, V. A., & Winnie, W. (2016). The effect of good corporate governance on tax avoidance: An empirical study on manufacturing companies listed in IDX period 2010–2013. Asian Journal of Accounting Research, 1, 28–38.

Tanzi, V. (2002). The shadow economy, its causes and its consequences. Brazilian Institute of Ethics in Competition.

Tedds, L., & Giles, D. (2002). Taxes and the Canadian underground economy. Canadian Tax Foundation.

Torgler, B., & Schneider, F. (2007). The impact of tax morale and institutional quality on the shadow economy (IZA Discussion Paper).

Transparency International. (2020). Corruption perception index.

Tsakumis, G. T., Curatola, A. P., & Porcano, T. M. (2007). The relation between national cultural dimensions and tax evasion. Journal of International Accounting, Auditing and Taxation, 16, 131–147.

US Legal. (2019). Economic crime law and legal definition. Retrieved September 15, 2019, from

Vaithilingam, S., & Nair, M. (2009). Mapping global money laundering trends: Lessons from the pace setters. Research in International Business and Finance, 23, 18–30.

Vicente, P. C. (2010). Does oil corrupt? Evidence from a natural experiment in West Africa. Journal of Development Economics, 92(1), 28–38.

Wickberg, S. (2013). Technological innovations to identify and reduce corruption (U4 Expert answer No. 376).

Wijayati, N., Hermes, N., & Holzhacker, R. (2016). Corporate governance and corruption: A comparative study of Southeast Asia. In Decentralization and governance in Indonesia.

Williams, C., & Schneider, F. (2016). Measuring the global shadow economy: the prevalence of informal work and labor. Edward Elgar.

Williams, J. W. (2013). Regulatory technologies, risky subjects, and financial boundaries: Governing ‘fraud’ in the financial markets. Accounting, Organizations and Society, 38, 544–558.

World Bank. (2015). Country and lending groups. World Bank, Washington.

World Bank. (2020). World development indicators. World Bank, Washington.

World Economic Forum. (2020). Global competitiveness report.

Wu, D. F., & Schneider, F. (2019). Nonlinearity between the shadow economy and level of development (IMF Working Papers 19/48). International Monetary Fund.

Zoldi, S. (2015). Using anti-fraud technology to improve the customer experience. Computer Fraud & Security, 7, 18–20.