An Analysis of the Factors Influencing the Illegal Economy in Iran

Document Type : Scientific research

Authors

• Siamak Shokouhifard ¹
• Ali Salmanpour ²
• Iraj Lotfi ³
• Morad Nasiri Moghanloo ⁴

¹ Young Researchers and Elite Club, Ardabil Branch, Islamic Azad University, Ardabil, Iran

² Associate professor, Department of Economics, Marand Branch, Islamic Azad University, Marand, Iran

³ PhD Student, Department of Law, Tabriz Branch, Islamic Azad University, Tabriz, Iran

⁴ Instructor, Department of Law, Payame Noor University, Tehran, Iran

https://doi.org/10.22067/economlaw.2025.91834.1423

Abstract

In a classification, the economy of any country can be divided into two parts: legal and illegal. The illegal economy includes many activities that are not approved and accepted by society and government and judicial authorities. Considering that the illegal economy, while being invisible, can have a high capital potential, if such potential is directed towards the legal economy, it is possible to accelerate and facilitate the movement towards reasonable and sustainable economic growth by relying on the capabilities of society within the framework of legal laws and also by the correct use of resources and factors of production. In this regard, first, the reliability of existing variables is examined by generalized Fuller Dicky test and then, using the ARDL model, the Error Correction Model (ECM) of the shadow economy volume model, and also with The application of the Johansson-Josilius test determines the convergence vectors, and then the effects of shocks and shocks on co-integration vectors are discussed and analyzed. The results show that shadow economy in Iran is affected by economic growth variables, trade restrictions, unemployment rate, tax burden and consumer price index.

Keywords

• Illegal Economy
• Economic Growth
• Economic Factors
• Coexistence Vectors

Main Subjects

• Economic Crimes

References

• Akcay, S. (2006). Corruption and human development. Cato Journal, 26(1), 29- 46. https://doi.org/10.36009/CJ.26.1.2.
• Bhagwati, J.; Hansen, B. (1973). A Theoretical Analysis of Smuggling. Quarterly Journal of Economics, 87, 172 -187.
• Bhattacharyya, D.K. (1999). On the Economic Rationale of Estimating the Hidden Economy. The Economic Journal. 109(456), 348-359. https://doi.org/10.1111/1468-0297.00437.
• Chatterjee, S.; Chaudhury, K.; Schneider, S. (2003). The size and development of the Indian shadow economy and a comparison with other 18 Asian countries: an empirical investigation. Discussion Paper, Department of Economics, University of Linz, Austria.
• Chugh, R. L.; Uppal, J. S. (1986). Black Economy in India. New Dehli: Tata McGraw- Hill Pub.co.
• Dell' Anno, R. (2003). Estimating the Shadow Economy in Italy: A Structural Equation Approach. Discussion paper, University of Salerno, Departeman of Economics and Statistics. https://doi.org/10.2139/ssrn.1113830.
• Emadzadeh, M.; Tabatabaei, Z. (2012). An analysis of the underground economy and its influencing factors in selected developed countries. Macroeconomics Research Letter, 7(13), 83-96. (In Persian).
• Frey, B. S.; Weck-Hanneman, H. (1984). The hidden economy as an ‘unobserved’variable. European Economic Review, 26(1-2), 33-53. https://doi.org/10.1016/0014-2921(84)90037-4.
• D. E. A. (1999).  Modeling the hidden economy in the tax-gap in New Zealand. Empirical Economics, 24(4): 621-640. https://doi.org/10.1007/BF01276759.
• Hasan Mhejir, J.; Hekmati Farid, S.; Reza Zadeh, A.; Mohammad Zadeh, Y. (2025). Examining the Influence of the Shadow Economy on the Performance of Financial Markets and the Banking Sector in BRICS Countries: A Panel SUR Approach.  Journal of Asset Management and Financing, 13(2), 1-27. (In Persian). 
• Hui- Kuang Yu, T.; Wangb, D. H. M.; Chenc, S. G. (2006). A Fuzzy Logic Approach. To Modeling the Underground Economy in Taiwan. Physica, 36(2), 471-479. https://doi.org/10.1016/j.physa.2005.09.058.
• Lotfi, I. (2017). Jurisprudential and Legal Study of Trapping in Irans Criminal Law. Tehran: Noreehm. (In Persian).
• Mehrabi Boshrabadi, H,; Kouchakzadeh, S.; Taboli, H. (2011). Whether Shadow Economy Threats Economic Growth? (Case Study: Iran). Iranian Journal of Economic Research, 15(45), 181-198. (In Persian).
• Mhadhbi, K.; Terzi, C. (2022). Shadow economy threshold effect in the relationship finance–growth in Tunisia: A nonlinear autoregressive distributed lag approach. Journal of International Development, 34(3), 636-651. https://doi.org/10.1002/jid.3693.
• Mohabati, Y. (2019). Studying the Status of the Black Economy in Iran and Providing Solutions. Fourth International Conference on Modern Research in Management, Economics and Development, https://civilica.com/doc/914950. (In Persian).
• Naderan, E.; Sedighi, H. (2009). The Effect of Taxes and Their Components on Size of Underground Economy in Iran (1973-2003).  Journal of Economic Research, 43(4), 1-26. (In Persian).
• Nasrolahi, Z.; Talei Ardakani, S. (2013). Estimating Shadow Economy and the Impact on Air Pollution in Iran. QJER, 12(4), 27-54. (In Persian).
• Nasrollahi, Z.;, Rezaei, A..; Dehghan Banadkoki, F. (2022). Shadow Economy Effects on Quality of Life. Stable Economy Journal, 3(1), 98-131. https://doi.org/ 48308/ecoj.2022.987321. (In Persian).
• Omodero, C.O. (2019). The financial and economic implications of underground economy: The Nigerian perspective. Academic Journal of Interdisciplinary Studies, 8(2), 155-185. https://doi.org/10.36941/ajis-2019-0014.
• Pesaran, M.H.; Shin, Y. (1995). Autoregressive Distributed Lag Modelling Approach to Cointegration Analysis. DAE Working Paper Series No. 9514, Department of Economics, University of Cambridge, Cambridge.
• Rahimzadeh, F.; Shokouhifard, S.; Hazeri Niri, H. (2022). The Effects of Corruption on Financial Inclusion (A System Generalized Method of Moments approach). Economic Modeling, 16(57), 33-48. (In Persian). 
• Ruge, M. (2012). Public Governance and the Shadow Economy. TheBerlin International Economic Congress.
• Sardari, A. (2002). An approach to the administrative structure of developing countries. Proceedings of the Second Scientific and Research Conference on Supervision and Inspection in the Country, Tehran. (In Persian).
• Schneide, F.; Hametner, B. (2013). The Shadow Economy in Colombia: Size and Effect on Eonomic Growth. Johannes Kepler University of Linz, Working Paper No. 1319. https://doi.org/10.2139/ssrn.2354426.
• Schneider, F. (2007). Shadow Economies and Corruption All Over the World: New Estimates for 145 Countries. Economics, 1(1), 1-53. https://doi.org/10.5018/economics-ejournal.ja.2007-7.
• Shakibaei, A.; Raeispour, A. (2007). The Evolution of Shadow Economy in Iran A DYMIMIC Approach. QJER, 7(3), 17-36. (In Persian).
• Shakibaei, A.; Shadmani, G. (2014). Estimating the Size of Shadow Economy in Iran Using Multi-level Fuzzy Modeling. QJER, 14(1), 59-77. (In Persian).
• Shokohifard, S. (2020). The Impact of Corruption on Labor Market in Iran and Selected Islamic Countries: Quantile Regression Approach. Ph.D. Thesis, Islamic Economics, Islamic Azad University- Tabriz Branch. (In Persian).
• Shokohifard, S. (2022). The Effects of Corruption on Financial Fragility in Iran: A Quantile Regression Approach. Postdoctoral research project, Economics, Payame Noor University. (In Persian).
• Shokouhifard, S. (2024). The Effects of Different Indicators of Corruption on Labor Force Case Study: Selected MENA Countries. Parliament and Economy, 1(WINTER), 173-205. (In Persian).
• Thomas, J.J. (1989). Quantifying the Black Economy: ‘Measurement without Theory’ Yet Again?. The Economic Journal, 109(456), 381-389.
• Transparency International. (2018). Corruption Perceptions Index. http://www. transparency.org.
• Transparency International. (2023). Corruption Perceptions Index. http://www. transparency.org.
• Yaz, H. F.; Dogan, N.; Berument, M. H. (2024). A measure of the informal sector for the Turkish diesel market. Economics, Planning, and Policy, 16(7), 638-649. https://doi.org/10.1016/j.ecosys.2024.101234.