Showing 298 results for Type of Study: Applicable
Mehdi Yazdani, Hamed Pirpour,
Volume 8, Issue 30 (12-2017)
Abstract
Due to the more dependence among countries and the raised demand for energy, the energy trade have increased during recent decades, while its major share is intra-industry trade (IIT). In this regard, countries are trying to exploit the diversity of a particular product, as well as the technology transfer and knowledge of technology which generated by IIT in this sector. According to the importance of role of IIT in the economies, this study will identify the determinants of IIT in the energy sector among Iran and its major trading partners using gravity model and Poisson pseudo-maximum-likelihood (PPML) method during 1997-2016. Based on the results, the effects of gross domestic product (GDP) per capita of Iran and the selected countries, the products’ diversification in the energy sector of Iran and its partners, access to the open sea for Iran's trading partners, and foreign direct investment (FDI) in the energy sector in Iran are significant and positive on IIT. However, the geographical distance, transportation costs, and trade imbalances among Iran and the selected countries have had the significant and negative effects on IIT
Hossien Amiri, Fatemeh Samadian,
Volume 8, Issue 30 (12-2017)
Abstract
Construction projects are the basic requirements of sustainable development and growth. Inefficient procedures of implementing the construction projects, regardless of our financial and administrative capacities, has imposed a large amount of unfinished and occasionally stopped projects to national economy. Since there are various components that affect the fate of projects, therefore, the main purpose of this paper is to answer this question that whether the political cycles affect the adoption and implementation of provincial construction projects or not? In order to answer this question, two hypotheses are considered in this paper. Therefore, GMM dynamic method was used to estimate the model and test hypothesis in the years 1997-2014. Hypothesis one: political cycles affect the fate of construction projects, and the second hypothesis: the impact of political cycles on the adoption and implementation of construction projects are larger in the year prior to political cycle (election). Therefore, in order to estimate the model and test the research hypothesis, provincial data during the years was used. Results of testing two hypotheses suggest that parliamentary and presidential political cycles have a significant positive correlation with the construction projects. Results also show that the presidential political cycle has a larger impact on construction projects, meaning that the impact of political cycles on the process of adopting and implementing the construction projects in the year prior to the political cycle is larger. In this regard, in order to eliminate the impacts of the governmental and parliamentary political cycle on construction projects, it is recommended to determine a competent authority that has the necessary qualifications as well as the sufficient degree of independence and supervision power over the project's Feasibility studies. The referenced mentioned will be approve projects based on objective justification-technical and district-based studies and it prevents the adoption of development plans based on the political considerations of the government and parliamentarians.
Marzieh Khakestari, Sahar Joleini, Ahmad Ameli,
Volume 9, Issue 31 (3-2018)
Abstract
This paper implements an approach to examine economic problems in which rational agents interact in dynamic markets. We use evolutionary game theory and agent-based modeling in tandem as a means to address intertemporal problems that display evolutionary attributes. This study examines the behavior of the Organization of Petroleum Exporting Countries (OPEC) in the global oil markets during the 1960s and 1970s, which sought to control global oil markets during this period.. To address this, a symmetric evolutionary game theory model is used to examine the behavior of OPEC agents as they learned to take control of their resources. An agent-based modeling approach employs computational power to implement the evolutionary game and provide detailed results. It is shown that OPEC’s behavior over the period is dependent on the growth of petroleum reserves within the member nations. Increasing realizations of natural resource reserves spur increased rates of learning and experimentation, and this enables the cartel to act cooperatively and capture control of global petroleum markets. If reserves are kept constant, OPEC lingers at a state in which the cartel does not come to dominate world oil markets.
ـavad Taherpoor,
Volume 9, Issue 31 (3-2018)
Abstract
Economic vulnerability shows the exposure of the economy to exogenous shocks and deviations from the path of growth and development. On the other hand, the resilience of the economy is the ability to recover the mentioned path of growth and development. Therefore, these two factors determine the level of welfare of the economy. Since the production factor productivity is the most important variables in determining the level of welfare of the economy, it is important to be measured the taking effect of the economic productivity from economic vulnerability and resilience. Therefore, in the this study, with employing the Panel GMM method for the period 2005-2014 and for eighteen oil-rich countries, the impact of economic vulnerability and resilience on labor productivity has been considered. The results of this study show that economic resilience has the significant and positive effect while the economic vulnerability has the significant and negative effect on the productivity of labor factor of production. Oil-rich countries, especially Iran, should be focused on reducing their economic vulnerability. To reduce economic vulnerability, shifting from single-product economy to export-diversified economy and reduce dependence on strategic goods will be suggested. To improve economic resilience, focusing on macroeconomic stability, improving institutional quality, improving the structure of markets, and improving human capital will be recommended. It is clear that these policy-induced recommendations would be so hard, but failing to achieve them, it leads to the bitter experiences such as decline in oil revenues, especially the sanction conditions.
Hojjat Izadkhasti,
Volume 9, Issue 31 (3-2018)
Abstract
The impact of monetary policy on nominal and real variables in the economy is very important and controversial issues in monetary economics. Thus, the interaction between the real and monetary sectors, are the questions that different schools of economic have different responses and assumptions in this design is neutral and super-neutral of money in the long run. Accordingly, the acceptance or rejection each of the above hypotheses, effects on the role of monetary policy in the economy. This study, has been investigated the effects of monetary policy in the framework of a dynamic general equilibrium model on inflation and welfare, based on the money in utility function in Iran's economy. Then, the model is solved by using dynamic optimization and analyzed the results in the steady state. Calibration results and sensitivity analysis in steady state indicate that by decreasing the growth rate of money supply from 22% in the base state to 12%, reduces inflation rate from 20.45% to 10.57% decrease and increases real money balances from 0.1304 to 0.1352 unit, But the ratio of capital to labor, per capita production and per capita consumption do not change in the steady state. Finally, with a decrease in the rate of monetary growth and the increase in real money balances, the welfare increases in the steady state situation.
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.
Abolfazl Shahabadi, Mahsoomeh Ahmadi, Ali Moradi Ali Moradi,
Volume 9, Issue 31 (3-2018)
Abstract
The insurance industry as a means of transferring risk and paying damages, ensures the future and the confidence of individuals and as an investor's institution, It cumulation the saving resources and allocates it to the needs of investment and economic growth of the countries. Therefore, it is necessary to identify the factors influencing the development of this industry in countries with a low insurance penetration and action must be taken regarding reinforcement the increasing factors and Elimination its decreasing factors.In this regard, the present study has tried to determine the interaction between financial development and economic freedom indicators (total index, size of government, legal system and property rights, sound money, freedom to trade internationally and regulations) on the penetration insurance in Fifteen unsuccessful insurers will be insured over the period 2014-2000. For this purpose, the research model was estimated using panel data and generalized moment’s method. The results it shows the interaction of financial development and all index of economic freedom on insurance penetration the in selected countries have had a positive and meaningful. Also, the individual effect of financial development and total economic freedom index is positive and significant. However, their individual influence on the insurance penetration is less than their interaction. Finally, the effect of control variables including per capita income, human capital and urbanization rate on the insurance penetration in the selected countries have had a positive and meaningful and the effect of unemployment and inflation have had a negative and meaningful.
Hosein Panahi, Firouz Fallahu, Ali Imani, Sima Nasibparast,
Volume 9, Issue 31 (3-2018)
Abstract
In recent decades, unnecessary growth in health expenditures of developing countries, and the importance of physicians' behavior in health market, have made investigating determinants of health expenditure on the one hand and the theory of physician induced demand (PID) on the other, as two of the most important issues in health economics. Therefore, using data collected through filling out information collection forms by psychiatrists and patients of East Azarbayjan in 2016 and employing hierarchical linear modeling methods (HLM), this study, examines the determinants of the average expenditure of each visit to a doctor and investigates the theory of PID within psychiatrists in the East Azarbayjan province. The results show that in psychiatry, although psychiatrists are “doctors tend to profit”, there is no physician induced demand. Results also indicate that patiant’s income, patiant’s education level, and condition of illness have significant effects on the average expenditure of each visit to a doctor. According to these results, it is suggested that in order to reduce unnecessary health expenditure, patient information on medical care should be increased, and government monitoring and control over the national health system must be increased.
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.
Omolbanin Jalali, Zahra Nasrollahi, Madjid Hatefi Madjumerd,
Volume 9, Issue 32 (7-2018)
Abstract
The main goal of the study is to examine the effect of rewards on the behavior of players in a team activity. In this framework, by performing 12 sequential and simultaneous games in a laboratory environment examine the rewarding effect on players' behavior. Students from Yazd universities surveyed and the sample of 182 students is in the form of two groups, which collected in total for 2184 matches in 12 games. The results show that the increase in game rewards leads to a reduction in the player's first attempt in the game. Also, the structure of the game for simultaneous or sequential decision making does not affect the decision of the first player, but the decision of the second player is affected. In addition, the reciprocal effects of rewards and structure only affect the decision of the second player.
Mohsen Mehrara, Habib Soheyli,
Volume 9, Issue 32 (7-2018)
Abstract
The aim of this study is to investigate the dynamics of information risk at the Tehran Stock Exchange (TSE). We estimated the daily probability of information based trade (PIN) for 22 stocks from 11 different industries of TSE over 4 years. The total average of the daily PIN for all stocks was 27% from 2013 to 2016. The lowest and the highest average of PIN estimates for individual stocks are 20.2% and 39.4%, respectively. In this research, the lowest and the highest daily PIN for individual stocks are estimated as 1.2% and 93.3%, respectively, which indicate that information risk varies substantially along time and there is a substantial need to use dynamic models to study this risk. Generally, it seems that the average and the maximum of information risk at TSE are much higher than in developed markets. Results showed that petrochemical and metal industries benefit from the lowest information risk and the highest is recorded for insurance and cement industries.
Yunes Salmani, Kazem Yavari, Hossein Asgharpour, Bahram Sahabi,
Volume 9, Issue 32 (7-2018)
Abstract
One of the major problems in Iranian economy is continuous deficit in the budget operating balance due to the non-optimal government size. The government often financed a part of this deficit by debt cearation. Government debts depends on its size and decomposition have variety macroeconomic effects. So, this study investigated the macroeconomic effects of government debt in iran during 1352-1393 by a SVAR model. the result showed that government debt to Nondepository Institutions leads to aggregate demand surplus, increasing of relative price of nontradable goods to tradable goods and decreasing of gdp. The debt to central bank increase price level and decrease gdp. Finally, government debt to other Depository Institutions leads to aggregate demand surplus, increasing of real exchange rate, decreasing of relative price of nontradable goods to tradable goods, decreasing of general price level and increasing of gdp. Also, according to the results of variance decomposition, the government can control a significant part of short run and long run macroeconomic fluctuations by managing its debts.
Naghmeh Honarvar, Homayoun Ranjbr, Sara Ghobadi,
Volume 9, Issue 32 (7-2018)
Abstract
This study examines the long run relationship between the efficiency component (good market efficiency and labor market efficiency) in the global competitiveness index and the variables of economic success (economic growth and unemployment) by using new econometric methods in selected countries of Asia with the average upward Global Competitiveness Index. This study, in the framework of the Panel Vector Error Correction Model (PVECM), examines the long run relationship between variables over the period 2008-2016. Estimation of long run coefficients by using Dynamic Ordinary Least Squares (DOLS) and estimating error correction temr coefficients by using the Pool Mean Group Method (PMG) and Panel Vector Error Correction Model has been done. Estimations of the coefficients of the variables of the good market efficiency and labor market efficiency by using DOLS method show that the effects of good market efficiency and labor markets efficiency on the economic growth in the long run are positive and significant. The impacts of good market efficiency and labor market efficiency on unemployment in the long run are negative and significant. Also, the results of estimating logarithmic coefficients in the DOLS method show that the most effective variable on economic success variables (economic growth and unemployment) is related to good market efficiency. The estimation of the coefficients of error correction term by using the PMG and PVECM method show that when the economic growth rate is dependent variable, since the coefficient of error correction term for this variable is negative and significant, therefore, There is a long run relationship between the rate of economic growth, good market efficiency and labor market efficiency. When the unemployment rate is dependent variable, since the coefficient of error correction term is negative and significant for this variable, there is a long run relationship between the unemployment rate, good market efficiency and labor market efficiency.
Younes Goli,
Volume 9, Issue 32 (7-2018)
Abstract
One of the main goals of many households is to improve the quality of their children by increasing their education expenditure. This study investigates the factors affecting on education expenditure as measure of quality of children by using the Households’ Income and Expenditure survey dataset over 2010-2014 and utilizing Tobit models. The result of Tobit shows that with addition of one person to the number of children, amount of education expenses per child reduces about 0.0064 billion Rial. But the effect of increasing one unit in the years of education of the head and mother of the household increases the educational expenditures by as much as 0.038 and 0.0548 billion Rial respectively. Therefore Becker’s theory of child quality-quantity tradeoff is confirmed, so the household has tendency increase educational expenditure per child and improve the quality of child by decreasing the number of children. Therefore, given the increasing quality of children, the development of production infrastructure for employing high-quality labor is an important step in increasing labor productivity and economic development in macro-level.
Parviz Rostamzadeh, Ruhollah Shahnazi, Mogammad Sadeq Neisani,
Volume 9, Issue 32 (7-2018)
Abstract
Credit risk is due to that recipients of the facility, deliberately or involuntarily, don’t have ability to repay their debts to the banking system that this risk is critical in Iran compared to the global. Therefore, the purpose of this study was to investigate the effect of macroeconomic variables on credit risk of Iranian banking industry during the 2006-2016 years and also simulation and prediction of credit risk situation in 2017 under different stress scenarios, bu using stress test. Data used in this research is time series and seasonal. In order to implement a stress test and achieve the purpose of the research, first, the effective macroeconomic variables and the rate of each one's influence on the credit risk are determined using Auto-Regressive Distributed Lags (ARDL). Accordingly, the inflation rate, exchange rate, unemployment rate and housing index in total have a positive effect and variables GDP, the interest rate of bank facilities and the volume of concessional facilities to both government and non-governmental sectors, have a negative impact on credit risk. In the following, using the stress test, simulation of critical situations and prediction of credit risk values in 2017. This was done in three scenarios with titles of mild stress, extreme stress, and hyperstress that in each scenario, different shocks are applied to the variables affecting credit risk. The results of the stress test and scenarios show that the compulsory reduction of interest rates on bank facilities in all three scenarios, initially in the second quarter of 2017, leads to a reduction in credit risk, but rising exchange rates, rising inflation, falling economic growth, as well as accumulation of past values of credit risk, has led to a rapid increase in credit risk and also in scenarios with more severs shocks, has led to catastrophic increase of credit risk in later periods in all scenarios.
Naser Khiabani, Mr. Mohammad Amin Naderian,
Volume 9, Issue 32 (7-2018)
Abstract
In this paper, we have utilized a time-varying parameter vector autoregressive model in order to examine the structural changes in the transmission mechanisms of oil price shocks in the global crude oil market over the period of 1985-2016. In this setting, the contemporaneous response of real oil price and crude oil production to flow oil supply shock, flow oil demand shock, and speculative demand shocks are explored. Results obtained from using Monte Carlo Markov Chain estimation method along with the identification approach proposed by Killian and Murphy (2014) reveal that the impact responses of oil production to the structural shocks follows a decreasing trend throughout the past three decades mainly due to the erosion of global oil production spare capacity. The reaction of oil production to flow oil supply shock is also estimated to be greater than other demand shocks over all dates. Moreover, the contemporaneous impact of structural shocks on real oil prices fail to show a clear pattern, however, jumps experienced in periods where uncertainty heightened and risk aversion strengthened is distinct. The reaction of real crude oil price to flow oil supply shock was more pronounced in 1990s and the period subsequent to oil price plunge in 2014. By contrast, the role of flow oil demand shock in real crude oil price fluctuations was dominant over the period of 2000-2014. While the oil production reacted more strongly to speculative demand shock rather than flow oil demand shocks, the response of real oil price to these two oil demand shocks is completely reversed.
Hassan Abdi, Jamal Khosravi, Parviz Mohammadzadeh,
Volume 9, Issue 33 (10-2018)
Abstract
The main purpose of this study is to investigate the effects of physical capital, human capital and social capital on the entrepreneurship level of individuals, using structural equations model and order logit model in Shahid Salimi industrial town of Tabriz in 2016. The data were collected form 121 economic activist who were randomly selected form the population. The empirical results show that human capital (level of education) and physical capital have negative and significant impact on the entrepreneurship level of individuals. But, human capital (level of experience) and social capital have positive and significant impact on the entrepreneurship level of individuals. In addition, attitudes, self-efficacy and expected entrepreneurial benefit have positive and significant effects on the entrepreneurship level of individuals.
Ezatollah Abbasian, Ebrahim Nasiroleslami, Ehsan Saniee,
Volume 9, Issue 33 (10-2018)
Abstract
In the analysis of the stock market and its market indices, instead of estimating returns and their distributions at a given time interval, it is possible to extract optimal time to achieve a certain return. In this study, the distribution of investment horizons and optimal investment horizons through inverse gamma statistics method for the indices of automobile, sugar, pharmaceutical, financial and banks industries in Tehran Stock Exchange were extracted, analyzed and compared. The results of the research show that at the levels of access to +5 percent return, automotive, sugar , banking and financial indices have shorter horizons than the total index, while in terms of access to negative returns ,the only indicator of the drug group has a longer horizon than the total index.
Ebrahim Abdi, Farhad Khodadad Kashi, Mrs. Yeganeh Mosavi Jahromi,
Volume 9, Issue 33 (10-2018)
Abstract
The present study examined the impact of financial development on the investment of the companies listed on the Tehran Stock Exchange. To achieve this goal, data gathered from 258 companies during 2005 to 2016 and the dynamic generalized method of moments were utilized to formulate the investment model with financial constraints. The results of the study showed that these companies faced financial constraints on investment and financial development has increased their investment by reducing the financial constraints. The results also indicated that the positive effect of financial development on investment has been bigger in the case of larger companies than in smaller companies. It was further revealed that during the economic boom, financial constraints on companies were reduced and financial development led to the reinforcement of the positive effect of the boom on reduction of the companies’ financial constraints
Manizheh Bratzadeh, Javad Harati, Mohammad Lashkari,
Volume 9, Issue 33 (10-2018)
Abstract
Money laundering is an illegal practice that legitimizes the income from illegal activities during a legitimate process.Trade-based money laundering (TBML) as one of the newest and most complicated types of money laundering has negative effects on economic, social and political aspect of a society.The most important objective of the present study is to investigate the effect of various factors on trade based money laundering in Iran using the Ferwerda Gravity model.For this purpose the effective factors on trade base money laundering between iran and some selected trade partners are investigated by the use of a random effect model during the period 1999-2012. The results indicate that a great significant part of the trade based money laundering flow between Iran and selected trade partners can be explained by the the Ferwerda Gravity model. Accordingly, gorss doimestic product(GDP), trade volume, geographical, cultural, population and attractiveness variables have a significant effect on the amount of trade based money laundering in Iran.This means that with the increase in trade flow, money laundering opportunities resulted from the trade channel, that is hidden in it, will also increase. These results can be used by policy makers for designing policies to combat money laundering particularly coming from trade channel.
