سید حسین میرجلیلی

Financial sanctions have economic consequences for the oil-dependent economies. We examined the impact of financial sanctions on exchange rate fluctuations and macroeconomic variables in Iran. To this end, we employed a new Keynesian DSGE model. The results indicated that with the shock in foreign exchange, production (Y) and imports initially decreased. Oil production has shown a positive reaction initially and a negative reaction in the medium term, and after 7 periods, the effect of the shock has disappeared. The capital stock (K) also decreased initially, and in two periods, it reacted positively. In the tenth period, its effect disappeared, and in the long term, it became partially negative, and its effect disappeared. The inflation rate has decreased initially, and its effect disappeared over time. Consumption decreased, and after five cycles, the reaction became positive and then disappeared. The interest rate increased initially and then decreased, and in the 10th period, the shock effect disappeared. The exchange rate initially decreased and then increased after one period.

Industrial investment in Iran, especially in the wake of sanctions’ intensification in the 2010s, decreased significantly. The government implemented fiscal policy which has been associated with uncertainty. In this paper, using a dynamic panel model and generalized method of moments, we examined the effect of fiscal policy uncertainty on investment in 24 industrial groups in Iran over the period 2002-2020. The results indicated that the growth of fiscal level shock,resulted in a low but positive effect on investment directly. However,the coefficient of cross effect between the growth of fiscal level shock and the fiscal policy uncertainty undermined the positive effect on industrial investment. The government has had two effects on industrial investment indirectly through the demand side shock. By creating demand, it has had a positive effect on industrial investment with the cross effect between the growth of the fiscal level shock and industrial sales. However, on the other hand, the growth of the fiscal level shock has been associated with the creation and growth of fiscal policy uncertainty, so that the cross effect between the growth of fiscal policy uncertainty and the growth of industrial sales on industrial investment shows a high negative coefficient. The results of these two effects suggest that due to high uncertainty,the indirect government effect on investment in 24 industrial groups is negative, which happens through the demand-side shock. Moreover, the growth of fiscal policy uncertainty, sanctions, and interest rates, respectively, have had the most adverse effect on investment in 24 industrial groups in Iran.

Financial sanctions have many economic consequences for the oil exporting economies. The sanctioned economy adopts economic policies to deal with it. This paper examines the relationship between financial sanctions, oil revenues and monetary and fiscal policies in Iran and explicates how financial sanctions have affected Iran's access to oil revenues. It also examines the role of fiscal and monetary policies in financial stability and resilience in Iran's economy. To this end, we employed a DSGE model with the new Keynesian approach. The results indicate that the interest rate, consumption, imports and inflation have a positive reaction to the oil revenue shock resulting from financial sanctions. However, the production, export, private sector investment and oil sales indicate a negative reaction to the oil revenues’ shock. Regarding the monetary policy shock, the reaction of production and consumption to the shock is positive. However, the reaction of oil sales and interest rate to this shock is negative. In terms of financial policy shock, production, consumption, investment and export indicated a positive reaction to this shock. However, the interest rate, imports and oil sales indicated a negative reaction to the fiscal policy shock. Monetary and fiscal policy shocks increase the effect of financial sanctions for a short period, while monetary policy shock has reduced the effect of financial sanctions for three periods. Therefore, monetary policy has been more effective than fiscal policy in reducing the effect of financial sanctions.

Financing decisions such as capital structure have gained much attention in literature of financial development over the last decade. Capital structure deviations from its optimal level can occur for various reasons. According to the dynamic trade-off theory, continuous adjustment of capital structure to maximize company value is essential. If companies adjust their capital structure quickly towards the target leverage, past financing activities and historical market conditions will only have short-term effects on the current capital structure. Conversely, if companies adjust their capital structure slowly, the opposite is true. We examine the relationship between organizational and performance characteristics and capital structure, as well as the speed of adjustment, in financial and non-financial firms listed on the Tehran Stock Exchange and compare these effects between the two categories of companies. The statistical population consists of companies listed on the Tehran Stock Exchange from 2017 to 2022. The results show that the speed of capital structure adjustment is lower in the financial sector compared to the non-financial sector. Additionally, three performance variables—profitability, growth opportunities, and liquidity—are statistically significant and impact capital structure and its adjustment speed in both financial and non-financial sectors. However, the growth opportunities variable has a different effect direction in the financial sector compared to the non-financial sector, while the age variable does not have a significant effect. Regarding organizational characteristics—complexity, institutional ownership, and size—only organizational complexity in the financial sector is significant at a 95% confidence level, while all organizational characteristics are significant in the non-financial sector

Providing financial services for social projects represents corporate social responsibility (CSR), because it indicates ethical commitment for creating better social environment. It improves public image and loyalty of customers, increases the commercial value of the trademark, promote public trust, create confidence of the beneficiaries, and attract valuable resources by the corporate. Corporates have realized that they are responsible for the society in which they operate. We examined the impact of CSR on the efficiency and profitability of banks. The statistical population of the research is 16 banks listed in Tehran Stock Exchange during the period 2014-2018. Four variables represent efficiency and profitability. Also, six variables included in the model as control variables. The results indicated a positive and significant effect of social responsibility on the efficiency and profitability of the banks, so that the CSR has most effect on the return on assets, net profit margin and return on equity respectively.

In Iran, especially in the aftermath of economic sanctions of the 2010s, and the intensification of the government's budget deficit, since 2012, there was a diminishing investment, followed by a decrease in production which led to stagnation in the economy. The government plays its economic role by implementing fiscal policy. However, when it is associated with uncertainty, the effectiveness of fiscal policy may be undermined. Therefore, we need to measure the uncertainty of fiscal policy in Iran. We measured the uncertainty index of fiscal policy in Iran using a specified fiscal reaction function. In this function, there are two types of shocks. First, fiscal level shock and second, volatility shock which is a proxy for fiscal policy uncertainty. To this end, we employ particle-filter to estimate fiscal policy uncertainty in Iran. In this paper, by measuring the structural budget balance function for Iran, we utilize it as a dependent variable. The results indicate that the trend of balance or total budget deficit has a compliance with the trend of balance or structural budget deficit for Iran suggesting that the nature of government budget in Iran is a structural one, and in the 2010s the sanctions, adversely affected on the government budget. In 2012, the intensification of sanctions led to the increase in the uncertainty of fiscal policy until 2015 that the trend of fiscal policy uncertainty was mildly downward. In 2017, the uncertainty index of Iran's fiscal policy has increased rapidly until it reached its maximum in 2020, in which the economy did not face with such uncertainty for fiscal policy since 1979.

During the last three decades, financial sanctions have been imposed on Iran by the United States, the European Union, and the United Nations Security Council. This paper aims at estimating the effect of financial sanctions on the import of capital and intermediate goods in Iran, which was carried out for two independent time periods. The first period (2010-2013) includes multilateral financial sanctions, and the second period (2016-2019) includes multilateral sanctions and the withdrawal of the United States from the JCPOA. We examined the impact using the difference-in-difference (DID) method. The results of the first period indicate that the decrease in the imports of capital and intermediate goods in Iran depends more on the countries that "provided the sanctions plan" than the countries that did not provide the sanctions plan, because the coefficient of dummy variable for implementation in the random effects model is statistically significant. The negative effect of 0.007 on imports shows that the effect is weak, because this group of countries behaved differently. In the second period, the random effects model is statistically significant. In this model, the negetive effect of 0.22 on imports indicates a significant effect. Therefore, the reduction of Iran's imports in this period depends more on the countries that provided the sanctions plan than the countries that did not provide the plan.

By utilizing the new Keynesian stochastic dynamic general equilibrium model, this paper examines the effects of credit easing policy on macroeconomic variables with or emphasizing on production. For this purpose, a model has been design including 5 sectors of household, enterprises, banks, government and central bank. Considering the dominance of fiscal policy over monetary policy in the Iranian economy, the integrated constraint of the government and the central bank has been used. The model has been estimated using Bayesian method and quarterly time series data during 1991 to 2017. The results of Impulse Response Function show that implementation of this policy has increased consumption, investment, government spending and ultimately production, which indicates the effectiveness of this unconventional monetary policy to get the economy out of recession. Also, in response to the positive impulse of the central bank’s credit line to banks and the negative impulse of legal reserves, bank facilities increase, which is in line with theoretical expectations. The impact of the negative impulse of interbank market rate has also led to an increase in production credits. 

In the decade of 1979-1988, there was no development plan in Iran. During 1989-2022, six development plans implemented in Iran’s economy. The assessment of development plans conducted based on the performance and the results of economic indicators over the period. Economic Growth over the course of development plans was volatile. There has been a double-digit inflation rate over the course of the development plans and Productivity and the distribution of income indices were volatile. The challenges of planning in Iran include lack of common understanding on basic concepts of development plans, challenges of comprehensive plan, essential change due to external shocks, time span, parallel initiatives, coordination failure and lack of independent evaluation entity.

The causality between tourism growth and economic growth would not be very accurate regardless of the environmental factors affecting them such as the oil revenues. The present study investigates the effects of oil revenues on the causality between them, to present the difference between the two variables in oil-exporting countries. We examined the causal relationship using Dumitrescu and Hurlin’s model (2012) and the trivariate method in 9 oil-exporting countries from 1996 to 2019. The results show a one-way causal relationship between economic growth and tourism promotion in two variate causality but no relationship was found between them in trivariate. However, one-way causality is weakened when oil revenues are introduced. The causality of economic growth is not confirmed in the presence of oil revenues, as the causal relationship in the two-variable test is affected by the abundance of oil revenues. JEL Classification: F49, L83, O47, C21, C23

This review provides an assessment of the collection of contributions on the economic issues of COVID-19. The paper focused on the structure of the book and chapters’ content, quality of the publication, missing topics, predictions, and the pandemic effects on poverty and inequality. As the book is written during the initial stages of the pandemic, it does not contain the digital economy, cryptocurrency, health economics issues, sovereign debt, and resilience. The book is a useful text for graduate students in Economics and illuminating for economic policies during the COVID-19 pandemic._x000D_ This review provides an assessment of the collection of contributions on the economic issues of COVID-19. The paper focused on the structure of the book and chapters’ content, quality of the publication, missing topics, predictions, and the pandemic effects on poverty and inequality. As the book is written during the initial stages of the pandemic, it does not contain the digital economy, cryptocurrency, health economics issues, sovereign debt, and resilience. The book is a useful text for graduate students in Economics and illuminating for economic policies during the COVID-19 pandemic