Showing 17 results for Karim
Dr Alimorad Sharifi, Dr Karim Azarbaijani, Dr Iraj Kazemi, Aboozar Shakeri,
Volume 1, Issue 1 (10-2010)
Abstract
Industrial energy demand analysis has always been one of the leading fields of research in economics. This issue is more critical in the case of developing countries especially those with transition experiences. In this paper, third generation of dynamic factor demand models for the Iranian manufacturing industries is estimated to analyze the speed of adjustment in factor demands. Data which is used in this study is an Iranian industrial plant based on two-digit international classification code during 1374-1386. The translog functional form is used as model specification. The main findings are the complementary relation between energy carriers, electricity, and capital and low adjustment speed of capital stock. In Iranian manufacturing industries, demand for energy carriers and capital, with expansion of manufacturing activities and technological change has increased, while the demand for labor has decreased.
Mostafa Karimzadeh,
Volume 2, Issue 4 (6-2011)
Abstract
With regard to importance of investment as an engine of economic growth many economists such as Wicksel, Keynse and Harrod believe that investment is the main source of business cycles. Hence this study specifies investment function according to a basic macroeconomic model such as Ramsey model. Application of Ramsey model can help to extend macroeconomics with micro foundations in economy of Iran and prepares new scopes for researchers.
The main idea of this study is specification of investment function according to Ramsey model and its estimation by cointegration technique for period (1990:Q1-2007:Q4).
The result of econometric estimation indicated a long run relationship between investment, capital stock, and shadow price of capital, installation cost of capital, capital price and terms of trade. Results showed that capital stock, shadow price of capital and terms of trade have direct effects and, installation cost of capital and capital price have inverse effect on investment.
Dr Mohammad Vaez, Dr Saeed Daee Karimzadeh, Gholamhossin Karimian,
Volume 2, Issue 5 (10-2011)
Abstract
Foreign exchange reserves management is a main part of international monetary system that determines the optimum value and optimum exchange composition of foreign reserves. Recently new emerging market countries as well as crude oil exporting economies have accumulated huge stocks of foreign reserves. But the optimality of the composition of these reserves is doubtful.
In today’s world economy in which such phenomena as financial crises and variations in the value of main currencies are occurring, the rearrangement in new foreign exchange convergences is probable. So, determining the optimal composition of foreign exchange reserves is one of the most important issues in international and financial economics studies.
In this article we used the dynamic optimizing model based on Mean-Variance and Transaction Cost approaches to determine the optimum composition of foreign exchange reserves in selected Middle East crude oil exporting countries during the period 1999-2007. The results show that it is necessary for selected economies to revise their foreign exchange reserves so that to decrease foreign reserves depreciation risk and upgrading their ability to debts repayments.
Javad Harati, Dr Karim Eslamloueyan, Dr Mohammad Ali Ghetmiri,
Volume 3, Issue 7 (3-2012)
Abstract
This study aims at determining the optimal environmental tax policy in the context of a dynamic model. For this purpose, clean technology diffusion was added to the AK growth model and the theoretical model has been generalized to the open economy. The main feature of the economy is creating pollution in the process of economic growth and its negative impact on social welfare. The diffusion of clean technology reduces pollution emission and has a positive effect on environmental quality and social welfare.
The Hamiltonian solution of the model indicates that the steady state growth rate and optimal tax pollution is affected by the consumer preference toward consumption and environmental quality, pollution elasticity with respect to production, clean technology diffusion, foreign growth rate, inverse elasticity of intertemporal substitution , depreciation rate of capital and trade parameters.
The results show that the optimal tax rate in Iranian economy is about 15 percent. Furthermore, sensitivity analysis shows that the emission elasticity of pollution subject to the production and environmental preference parameters have larger impacts on optimal tax rate than foreign growth rate and trade parameters.
Mostafa Karimzadeh,
Volume 5, Issue 15 (3-2014)
Abstract
The specification of money demand function is one of the most
important and disputable subjects in economics. With regard to its importance, many of economists have represented several theorizes about money demand.
The Sidrauski monetary model is an interesting theory of money demand.
Sidrauski extended Ramsey model with regard real balance of money which in the
Sidrauski model the utility function involves both consumption and money. Application
of Sidrauski model can help to extend
macroeconomics with micro foundations in Iran and prepares new scopes for
researchers. The main aim of this paper is to estimate the Sidrauski monetary model for Iranian economy over the period
of 1979 -2011. For this purpose, the Engle – Granger, ARDL and Johansen-
Juselius approaches have been used for estimation of long run relationship of
money demand. The empirical results of econometric estimation of co-integration
vector indicated a long run relationship between per capita money demand, per
capita consumption, and inflation rate, rate of interest, exchange rate, per
capita income, and stock exchange price index. Our
results showed that per capita consumption and per capita income have positive
and significant effect on per capita money demand. Whereas inflation rate, rate
of interest, exchange rate and stock exchange price index
have negative and significant effect on per capita money demand.
Karim Eslamloueyan, Zahra Khalilnezhad,
Volume 6, Issue 21 (10-2015)
Abstract
The main goal of this paper is to study the relationship between exchange rate misalignments and inflation persistence in Iran. In order to achieve this goal, we first use a non-linear smooth transition regression model to estimate equilibrium exchange rate in the context of a monetary model for the period 1978:2-2012:1. This allows us to compute exchange rate deviation from its equilibrium level. In the next next state, in order to examine whether the inflation rate is persistence, we use a threshold autoregressive method to examine the non-linear behavior of inflation rate in Iran. In general, the result shows that there is a direct relationship between the exchange rate misalignment and the inflation persistence. This finding is consistent with the hypothesis that exchange rate deviation from its equilibrium level is costly due to its effect on inflation rate. Moreover, the result indicates that an increase in the level of exchange rate is associated with inflation persistence. This finding has important policy implication for monetary authorites in Iran to implement appopriate exchange rate policy in order to fight inflation persistence in this country.
Farhad Khodadad Kashi, Elham Karimnia,
Volume 7, Issue 25 (10-2016)
Abstract
Sporting success in international competitions is influenced by various factors. Exercise can identify the success factors in the development of sports programs for the development of human resources with a view to effective economic and social factors. This study investigates the impact of socioeconomic factors on the countries sports success at the Olympic Games.In this regard ,Using performance data of all the countries participating in the Olympic Games gold medal, silver and bronze medals during the years 1996-2012 in the form of a descriptive one tries to approach the factors affecting the success of the country in the Olympic Games of logit econometric model to be evaluated through.The results indicate that the net effect of human development indicator variables, number of participants, the trade balance, GDP, Sports performance period to increase the likelihood of successful sport in the Olympics. The population insignificantly negative impact on the sports chances of success, The results of this study showed that the most effective human development index of the sport in the Olympics has been an increase in the probability of success.
Javad Barati, Zahra Karimi-Moughari, Nader Mehregan,
Volume 8, Issue 29 (10-2017)
Abstract
Investment spillover effects include regional growth factors around the developed centers, which this study aimed investigate effects of industrial investment spillover in provinces of Iran and the quantifying of these effects. Accordingly, it uses the spatial econometrics to explore the indirect effects or industrial investment spillover. The results indicate that provinces with a higher gravity index, which are respectively Tehran, Isfahan, Khorasan Razavi, Khuzestan and Fars with a coefficient of 0.152, 0.090, 0.085, 0.083 and 0.077 respectively, have more industrial investment spillover than other provinces. In contrast, provinces with more great geographical distance from developed provinces such as Ardabil, Sistan and Baluchestan, northern Khorasan and Ilam, respectively with coefficients of 0.029, 0.031, 0.037 and 0.038, have less benefit of industrial investment spillover Compared to other regions. Also, industrial investment spillover effects for different regions, very different from each other. As for some provinces, the indirect effects are much less than direct effects and for some provinces, the indirect effects are close to direct effects. This can be due to geographical location, politics, government regulation and exposure to developed provinces.
Karim Eslamloueyan, Hamideh Yazdanpanah, Zahra Khalilnezhad,
Volume 9, Issue 31 (3-2018)
Abstract
Risk-taking channel refers to the banks’ risky activities following the expansionary monetary policy. This channel may affect the financial and output stability. The risk-taking channel can influence bank soundness and hence be a source of financial instability and financial crisis. This topic has been the focus of many researches after the financial crisis of 2008. Using the structural vector autoregressive model, this paper investigates the existence of a risk-taking channel in Iran’s banking system for the period 2006:2-2015:1. The results of impulse-response functions confirm the presence of risk-taking channel in the Iran’s banking system. This channel is considered to be one of the sources of high non-performing loans in Iran’s banking system. Therefore, banking supervision and macro prudential policies may reduce the banks’ risky activities. Moreover, introducing risk-taking channel into the central bank’s loss function might be helpful in achieving financial stability and reducing the negative impacts of risk-taking channel on output and economic growth in Iran.
Somayeh Azami, Latif Poor-Karimi, Sahar Sadri,
Volume 9, Issue 31 (3-2018)
Abstract
The purpose of this study is to evaluate environmental productivity changes in Iranian manufacturing industries, with two-digit ISIC codes, during 2003-2014. For this purpose, Meta-frontier Non-radial Malmquist CO_2 emission Performance Index (MNMCPI) is used. This index considers technological heterogeneities of industries. Empirical results indicate that, during 2003-2014, MNMCPI has grown, on average; the highest growth rate belongs to industries with medium technology. Also, all three indices of EC, BPC and TGC, as MNMCPI components, experienced growth, on average. TGC has the greatest impact in industries with medium technology while BPC has the greatest impact in industries with high and low technology. In general, BPC had the greatest effect on MNMCPI growth.The highest growth rate in EC index is observed in industries with low technology and the highest growth rates in BPC index, which shows the effect of innovation, and in TGC index are observed in industries with medium technology. Therefore, based on TGC index, industries with medium technology level are leading technological industries. Rregression analysis shows that energy intensity has a negative and significant effect and R&D has a positive significant effect on MNMCPI.
Ali Akbar Bajelan, Saeed Karimi Potanlar, Ahmad Jafari Samimi,
Volume 10, Issue 35 (3-2019)
Abstract
The purpose of current paper is to survey the asymmetric effects of inflation's positive and negative shocks on inflation uncertainty in short-run and long-run. For this end, first, the Ball model (1992) has been extended through the decomposition of inflation shocks to money demand's positive and negative shocks and money supply's positive and negative shocks. Then, through using nonlinear autoregressive distribution lag model and time series data of Iranian economy from 1978 to 2017 the positive and negative effects of inflation on inflation uncertainty, which is from the exponential generalized autoregressive conditional heteroskedasticity model, has been analyzed. The results of the study show that the effects of the inflation's positive shocks on inflation uncertainty in short-run and long-run are positive and significant. In contrast, the negative shocks have not any effects on inflation uncertainty in short-run and long-run. In other words, the rise in inflation causes an increase in inflation uncertainty in Iran; whereas, decrease in inflation has not had effects on inflation uncertainty.
Mohammad Sayadi, Nasim Karimi,
Volume 10, Issue 38 (12-2019)
Abstract
The main objective of this study is modeling the dependency structure between the returns of oil markets, exchange rate and stocks of chemical products in Iran. For this purpose, the theory of Vine Copula functions is used to investigate the dependency structure. In addition to consider a linear relationship between financial markets in Iran, the nonlinear dependency structure of these markets is also estimated, and their dependence on their upper or lower tails is determined. The study period includes daily data (5 working days) from December 2008 to July 2017. Modeling of marginal distributions of GJR-GARCH models has been used. Then, using the Copula-GARCH approach, the structure of dependency between returns and the calculating of the Value at Risk (VaR) of crude oil, exchange rate and stock of the chemical product group returns have been investigated. Finally, the required back-test is performed on the basis of the loss function. The study findings show that both pairs of modeling returns are related to the same upper and lower tails. In addition, there is a same structural dependency on the distribution of the vine copula between the indexes of chemical products and the nominal exchange rate on the condition of the price of crude oil, which indicates the spillover between markets. Due to that spillover effect is the main source of financial risk, the structural dependence on the basis of vine copula functions makes accurate and reliable calculation of portfolio risk based on the VaR criterion.
Ali Kiani, Karim Eslamloueyan, Phd Roohollah Shahnazi, Parviz Rostamzadeh,
Volume 10, Issue 38 (12-2019)
Abstract
In recent years, some research has focused on the importance of the origin of an oil shock for macroeconomic dynamics in both oil-exporting and importing countries. The existing literature lacks a proper open Stochastic Dynamic General Equilibrium (DSGE) framework to investigate the effect of the origins of oil shocks on macro variables in a two-country model consisting of an oil-exporting county and an oil-importing country. To this end, we develop and solve a new Keynesian DSGE model to show how the different oil shocks originating from oil supply or oil demand, might have diverse impacts on key macroeconomic variables in oil-exporting and importing counties. For the case study, we use data from Iran as an example of an oil-exporting country that trades with the rest of the world. Our DSGE model is estimated by using the Bayesian method for the period 1986:1-2017:4. The result shows that an oil shock originated from the shortage of oil supply (an exogenous decrease in Iran's oil production) decreases total production, non-oil trade, employment, inflation and consumption in this oil-exporting country. While a negative oil supply shock increases production costs and reduces production and consumption in Iran. However, an oil shock originated from an increase in the demand for oil raises output, non-oil trade, employment, consumption, and inflation in Iran as an oil-exporting country while a demand-side oil shock boosts production and increases inflation in this country.
Marzieh Rassaf, Dr Parviz Rostamzadeh, Dr Karim Eslamlueian, Dr Ebrahim Hadian,
Volume 12, Issue 43 (3-2021)
Abstract
After the victory of the Islamic Revolution and the capture of the spy nest, the West, and especially the United States, in addition to pursuing other tools, has also used the tools of sanctions and has implemented many sanctions against Iran. One type of sanctions is oil sanctions, which were imposed to force Iran to join the international community. The US and its allies' embargo on Iranian oil affects the variables of the Iranian and world economies. For this reason, a computable five-zone global trade model (GTAP) is used to calculate the implications of the game tree between the three independent actors of the United States, the European Union, and Iran. The closing of the GTAP model has been changed according to the assumptions used. The results show that the US, Iran and major oil buyers from Iran are damaged by the sanctions. This damage is exacerbated by increasing oil restrictions. With the escalation of sanctions, the European Union is also gaining negative welfare. In the Nash equilibrium, the United States and the European Union will choose weak sanctions, and Iran will try to circumvent the sanctions. Due to the economic costs of oil sanctions against Iran, the lack of full understanding between the United States and Europe, and Iran's efforts to circumvent sanctions, it seems that the United States will not be able to reduce Iran's oil exports to zero.
Maryam Heidarian, Ali Falahati, Mohammad Sharif Karimi,
Volume 12, Issue 46 (12-2021)
Abstract
There is a situation that due to economic shocks and imbalances in structural budgets and its continuation leads to stress in governments in uncertainty conditions. Fiscal stress as a volatile situation in financing of local governments can exacerbate the inability of governments to meet short-term and long-term fiscal commitments and excessive dependence on the central government. So the positive and negative effects of stress are related to the actions and responses of central and local governments. It is essential that policymakers in central and local governments pay attention to accurate and timely signs of fiscal stress for respond to stresses effects. In this study, we tried to clarify the fiscal situation in 31 provinces of Iran by calculating the local fiscal stress index from variables of fiscal structure and budget of each province and then estimate the threshold and spatial effects of the index through Panel Smooth Transition Regression method on economic growth and employment over the period 2005-2017. The results show that border provinces have the highest stress among other provinces, and provinces located in the center or near the capital have less stress. These results indicate the high centralism that exists in the provinces of Iran and has hindered the fiscal independence of local governments so that they can control and regulate their own revenues and expenditures, and in this case, they suffer less fiscal pressure and stress.
Edris Karimi, Zahra Faturechi,
Volume 13, Issue 48 (9-2022)
Abstract
Today, benefits from energy sources, especially non-renewable sources, can have various effects on economic indicators, and for this reason, it has risks for the economy and society. One of these important economic indicators is income inequality, which over time leads to many problems for societies. In this research, the effect of dependence on non-renewable natural resources on the income inequality of developed countries has been investigated. This dependence has been re-examined by separating non-renewable resources into fossil and non-fossil resources. The data of the study was collected from 25 developed countries during the years 1990 to 2019, and after making sure that no false regressions occurred during the estimation, an econometric study was conducted between the variables. According to the short-term and long-term estimation results obtained from the consolidated group average approach, it was determined that although in the short-term dependence on natural resources has no effect on income distribution, in the long-term two variables dependence on total non-renewable natural resources and dependence on fossil non-renewable natural resources have a negative effect and Significant as well as the variable of dependence on non-renewable non-fossil natural resources had a negative and insignificant effect on inequality. It was also determined that the control variables used such as: education, globalization and institutional quality can reduce income inequality in developed countries.
Dr Mohammad Hosein Karim, Dr Mohammad Sayadi, Mr Saeed Solgi, Mr Mohammadreza Ariafar,
Volume 14, Issue 54 (2-2024)
Abstract
The main purpose of this study is to investigate the effect of factors affecting the ecological footprint with an emphasis on the role of energy consumption intensity in Iran using the Vector Autoregression Model with Variable Parameters Over Time (TVP-VAR). The ecological footprint reflects the environmental constraints of communities and the extent to which the environment is destroyed by exceeding these limitations. Due to the increasing intensity of energy consumption, Iran is faced with a significant ecological footprint in its economic activities, which requires the root causes of the factors affecting it. Other research variables include the degree of urbanization, human development, financial development, trade openness, and GDP per capita in the period from 1990 to 2021. The results show that increasing the intensity of energy consumption causes a positive and significant increase over time on the ecological footprint. The effect of other research variables on the ecological footprint was also in accordance with theoretical expectations. These findings emphasize that the type and source of energy consumed, as well as the production processes, play an important role in this relationship. Also, the analyses show that environmental sustainability decreases with increasing energy consumption and the ecological footprint of
