بررسی تأثیر نوسانات نرخ ارز بر میزان قاچاق کالا در ایران در شرایط تحریم

نوع مقاله : علمی

نویسندگان

1 استاد گروه اقتصاد، دانشکده علوم اقتصادی و اداری، دانشگاه مازندران، بابلسر، ایران

2 دکتری اقتصاد، دانشکده علوم اداری و اقتصادی، دانشگاه فردوسی، مشهد، ایران

3 کارشناسی ارشد مدیریت مالی، دانشکده مدیریت و اقتصاد، دانشگاه آزاد اسلامی واحد یادگار امام، شهر ری، ایران

4 کارشناسی ارشد حقوق، دانشکده علوم انسانی، دانشگاه آزاد اسلامی، اهواز، ایران

چکیده

در پژوهش حاضر به بررسی تأثیر نوسانات نرخ ارز بر میزان قاچاق کالا در دو حالت با لحاظ شرایط تحریم و بدون لحاظ تحریم در دوره زمانی 1398-1352 به­صورت سالانه پرداخته شده است. در پژوهش حاضر جهت استخراج نوسانات نرخ ارز از رویکرد تبدیل موجک دابشیز و جهت استخراج شاخص تحریم از رویکرد تحلیل مولفه­های اصلی جهت مشخص نمودن بار عاملی استفاده شده است. هم‌چنین در نهایت جهت بررسی تأثیر نوسانات نرخ ارز با توجه به دوره زمانی بروز نوسانات در دو حالت با لحاظ شاخص تحریم و بدون لحاظ شاخص تحریم بر میزان قاچاق کالا در کشور از الگوی مارکوف سویچینگ استفاده شده است. نتایج پژوهش نشان می­دهد افزایش باز بودن تجاری فارغ از سطح و رژیم قاچاق کالا در کشور موجب کاهش معنادار قاچاق کالا می­شود. افزایش درآمدهای مالیاتی نیز در تمامی سطوح و رژیم­های قاچاق کالا تأثیر مثبت و معنادار داشته است. افزایش اندازه دولت در شرایطی که میزان قاچاق کالا پایین باشد، تأثیر منفی و معنادار و در سطح پایین قاچاق کالا تأثیر مثبت و معنادار داشته است. نوسانات کوتاه­مدت و بلندمدت نرخ ارز در شرایط بدون تحریم و با تحریم در تمامی سطوح و رژیم­های قاچاق کالا تأثیر مثبت و معنادار داشته است و تأثیر مثبت نوسانات بلندمدت ارز به­ویژه با لحاظ تحریم قوی­تر بوده است. هم‌چنین شکاف نرخ ارز اسمی نیز در حالتی که سطح و رژیم قاچاق کالا بالا باشد، تأثیر مثبت و معنادار داشته است. بنابرابن بایستی سهم صندوق توسعه ملی از درآمدهای فروش نفت و گاز افزایش یابد تا منابع ارزی بانک مرکزی نیز بواسطه آن افزایش یابد و در شرایط تحریم بتواند مانع از بروز نوسانات نرخ ارز به­ویژه به­صورت بلندمدت شود.

کلیدواژه‌ها


عنوان مقاله [English]

Investigating the Effect of Exchange Rate Fluctuations on the Smuggling Rate of Goods in Iran under Sanctions Situations

نویسندگان [English]

  • amirmansour tehranchian 1
  • soheil roudari 2
  • Hossein Hedayati 3
  • hedayat bahrami 4
1 1Professor of Economics, Department of Economics, University of Mazandaran, Babolsar, Iran,
2 Ph.D. in Economics, Department of Economics, Ferdowsi University of Mashhad, Iran
3 MSc in Financial Management, Department of Management, Islamic Azad University, Yadegar Emam, Shahr Rey, Iran
4 MSc in Law, Department of Law, Islamic Azad University, Ahvaz, Iran
چکیده [English]

In the present study, the effect of exchange rate fluctuations on the smuggling rate of goods in two cases with and without sanctions in 1352-1398 has been investigated annually. In the present study, the Daubechies wavelet transform approach has been used to extract exchange rate fluctuations, and the principal component analysis approach has been used to extract the factor loading of the sanctions index. Finally, to investigate the effect of exchange rate fluctuations according to the period of fluctuations in two cases with and without the sanctions index on the smuggling rate of goods in the country, the Markov switching model has been used. The results show that increasing trade openness regardless of the level and regime of smuggling in the country significantly reduces smuggling. The increase in tax revenues has also had a positive and significant effect on all levels of smuggling. Increasing the size of government in a situation where the smuggling rate of goods is low, has a positive and significant impact on smuggling of goods. Short-term and long-term exchange rate fluctuations in the conditions without sanctions and with sanctions have had a positive and significant effect at all levels and regimes of smuggling of goods and the positive effect of long-term exchange rate fluctuations has been stronger, especially in terms of sanctions. The official exchange rate gap has also had a positive and significant effect on smuggling of goods in high regime. Therefore, the share of the National Development Fund in oil and gas sales revenues should be increased in order to increase the foreign exchange resources of the Central Bank, and in the event of sanctions, it can prevent exchange rate fluctuations, especially in the long run.

کلیدواژه‌ها [English]

  • Exchange rate Fluctuations
  • Smuggling
  • Sanctions Index
  • Wavelet Transform
  • Markov Switching
Aghaei Bejestani, F., & Moradi Haghighi, M. (2012). Supporting national production and preventing smuggling of goods. Journal of Semnan Police Science, 2(4), 67-86. [In Persian].
Aguiar-Conraria, L., Azevedo, N., & Soares, M. J. (2008). Using wavelets to decompose the time–frequency effects of monetary policy. Physica A: Statistical mechanics and its Applications, 387(12), 2863-2878.
Alimoradi, H., & Tehranchian, A. M. (2015). Calculation of smuggling import index and the factors affecting it in Iran by fuzzy method. Macroeconomics Research Letter, 10(20), 56-81. [In Persian].
Alvarez-Villa, D., & Guardado, J. (2020). The long-run influence of institutions governing trade: Evidence from smuggling ports in colonial Mexico. Journal of Development Economics144, 102453.
Behboudi, D., Asgharpour, H., & Mohammadlou, N. (2012). The role of institutional quality on relationship between resource abundance and economic growth in oil economies. Quarterly Journal of Economic Research and Policies, 20(62), 116-95 [In Persian].
Buehn, A., & Farzanegan, M. R. (2012). Smuggling around the world: evidence from a structural equation model. Applied Economics44(23), 3047-3064.
Esmaili, S., Ghahramanzadeh, M., Mahmoudi, A., Mehrara, M., & Yavari, G. (2020). The impact of exchange rate and oil price fluctuations on Iran's agriculture trade balance: Application of the J-curve approach. Journal of Agricultural Economics and Development, 34(2), 179-200. [In Persian].
Ezzati, M., Heidari, H., & Meidari, P. (2019). Estimating the impact of economic sanctions on employment in the service sector. Iranian Journal of Official Statistics Studies, 30(1), 19-54. [In Persian].
Fallahi, M. A., & Ayati, N.S. (2019). Investigating the impact of economic sanctions on Iran's exports and imports. International Conference on Global Economy and Sanctions. [In Persian].
Farzanegan, M. R. (2009). Illegal trade in the Iranian economy: Evidence from a structural model. European Journal of Political Economy25(4), 489-507.
Ghoddusi, H., Rafizadeh, N., & Rahmati, M. H. (2018). Price elasticity of gasoline smuggling: A semi-structural estimation approach. Energy Economics71, 171-185.
Jermann, U., & Quadrini, V. (2012). Macroeconomic effects of financial shocks. American Economic Review102(1), 238-71.
Khadem Alizadeh, A., Amadeh, H., & Baghalian, M. (2014). The impact of economics sanctions on employment in Iran. Economic Strategy, 11 (3), 79-104. [In Persian].
Khan, M. A., Gu, L., Khan, M. A., & Oláh, J. (2020). Natural resources and financial development: The role of institutional quality. Journal of Multinational Financial Management, 56, 100641.
Khandan, Abbas (2018). Iran's Illegal Imports: Estimation of the size and analysis of causes and consequences. Journal of Economic Research (Sustainable Growth and Development), 18(2), 151-180 [In Persian].
Marzban, H., Ostadzad, A. H. (2015). The impact of economic sanctions on gross domestic prodect and social welfare for Iran: Generalized Stochastic Growth Model. Iranian Journal of Economic Research, 20 (63), 37-69. [In Persian].
Merriman, D., (2013). Understanding, measure, and combat tobacco smuggling. Toolkit No.7. World Bank. Available at: http://www1.worldbank.org/tobacco/pdf/ Smuggling.pdf (Access: 06.02.09).
Nneji, O., Brooks, C., & Ward, C. W. (2013). House price dynamics and their reaction to macroeconomic changes. Economic Modelling32, 172-178.
Pitt, M. M. (1981). Smuggling and price disparity. Journal of International Economics11(4), 447-458.
Roudari, S., Homayounifar, M., & Salimifar, M. (2020). Investigating the asymmetric impact of exchange rates on non-performing loans under sanctions situation. Quarterly Journal of Basij Strategic Studies, 23(87), 137-175. [In Persian].
Roudari, S., Homayounifar, M., & Salimifar, M. (2020). Foreign exchange rate volatilities, government debt to the banks and current government spending: wavelet transform approach. Journal of Monetary and Financial Economics, 27(19), 1-28. [In Persian].
Roudari, S., Homayounifar, M., & Salimifar, M. (2020). The effect of exchange rate and stock index fluctuations on the efficiency of agricultural facilities. Quarterly Journal of Agricultural Economics and Development, 34(1), 81-96 [In Persian].
Roudari, S., Homayounifar, M., & Salimifar, M. (2020). The impact of nominal foreign exchange rate fluctuations and business cycles on nonperforming loans with an emphasis on regime changes and time-scale. Iranian Journal of Economic Research, 25(85), 35-64. [In Persian].
Roueff, F., & Von Sachs, R. (2011). Locally stationary long memory estimation. Stochastic Processes and their Applications121(4), 813-844.
Sadat Akhavi, S. M., & Hosseini, S.S. (2017). Assessing the impact of economic sanctions on inflation in Iran's economy. Journal of Applied Economics, 7(21), 33-50. [In Persian].
Sharafi, H., Shakour, A., & Derazehi, Y. (2020). An analysis of goods smuggling and the factors affecting it in the villages of the border city of Saravan. Journal of Regional Planning, 10(37), 63-76. [In Persian].
Sikwila, M. N. (2011). Inflation impact of an exchange rate adjustment: The Case of Zimbabwe. Management, Informatics and Research Design, 166.
Wen, Y. (2005). Understanding the inventory cycle. Journal of Monetary Economics52(8), 1533-1555.
Zaranejad, M., Ebrahimi, S., & Kiani, P. (2013). The estimation of smuggling goods in Iran using MIMIC approach. The Journal of Economic Policy, 5(9), 81-109 [In Persian].
Zarei, P., Tehranchian, A. M., Abonouri, E., & Taghinejad Omran, V. (2019). Assessing the effects of exchange rate and oil price instability on government debt to the banking system: Markov-Switching wavelet based approach. Macroeconomics Research Letter, 14(27), 309-339. [In Persian].