Seyyed ali Islaminezhad; Asqhar Abolhasani Hastiani; abdolali monsef; Kamran Nadri
Abstract
From the point of view of scholars in economics, privatization is not only considered as a tool for restructuring the economy and increasing competition, but also an essential base for economic growth and development. According to that, the first and most important goal of privatization program in the ...
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From the point of view of scholars in economics, privatization is not only considered as a tool for restructuring the economy and increasing competition, but also an essential base for economic growth and development. According to that, the first and most important goal of privatization program in the General Policies of Principle (44) of the constitution,Law is to increase the economic growth. However, most studies have assessed the effects of privatization just on micro variables in economy, and only a few of them are focused on macro objectives such as economic growth. In this regard and due to uncertainties in the rate of achievement of this goal, as the result of the implementation of the mentioned program, this study is focused on evaluation of the privatization effect on economic growth of the country for the period 1991-2017. For this purpose, the human capital model and also the fully modified least squares (FMOLS) has been used. This method does not have the limitations of the ARDL method, such as the synchronization and exogenous variables and the resulting errors in estimation, which has been used in previous studies. In this study, privatization variable is considered as income from the transferring. Estimating the model and performing statistical tests, findings show that the impact of privatization on economic growth is positive and significant during the mentioned period.
Abolghasem Esnaashari; Mohammad Hossein Pourkazemi; Asghar Abolhasani Hastiani; Ahmad Lotfi Mazraeshahi
Volume 3, Issue 12 , November 2013, , Pages 88-75
Abstract
The internal saving in a country, is the most important source for financing and economic growth. These savings are confronted with risk of a volatile rate of return to capital. The uncertainty in the rate of return on capital may lead to distorted economic decisions by the savers, consumers and investors. ...
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The internal saving in a country, is the most important source for financing and economic growth. These savings are confronted with risk of a volatile rate of return to capital. The uncertainty in the rate of return on capital may lead to distorted economic decisions by the savers, consumers and investors. Depending on the pattern of these behaviors we may observe deviations in the rate of economic growth. This study attempts to estimate the rate of economic growth with uncertainty in the rate of return on capital using standard Brownian motion and the optimized random control to compare it with the planned rate of economic growth. The findings indicate that; if the risk-aversion coefficient is less than one, the average long-term rate of economic growth will be less than the planned growth rate. Further, using the data on Iranian economy for the period 1974-2011, first, a dynamic model, based on SDE, was simulated for GDP by rate of growth %3.85, then, the relationship between capital return volatility (using the EGARCH model) and the rate of economic growth was analyzed. The results are indicative of a negative relationship between growth rate and the fluctuations in the rate of return on capital.
Asghar Abolhasani Hastiyani; Mohammad Hossein Pour Kazemi; Abolghaseme Asna Ashari Amiri; Mohammad Hossein EhsanFar
Volume 2, Issue 8 , December 2012, , Pages 94-83
Abstract
The purpose of this paper is to determine the optimal time paths of economic variables such as production, inflation, money stock and government expenditures, and also sensitivity analysis of these paths. For this aim, a deterministic optimal control model is used. In this model, a quadratic objective ...
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The purpose of this paper is to determine the optimal time paths of economic variables such as production, inflation, money stock and government expenditures, and also sensitivity analysis of these paths. For this aim, a deterministic optimal control model is used. In this model, a quadratic objective functional, due to the constraint of dynamic macroeconomic equations system, will be minimized. In this method, the squared deviations of variables from their steady state values are weighted. Then, optimal paths of control and state variables are calculated by using Mathematica software. Optimization results indicate that if optimal policies are chosen, mentioned variables will considerably have less fluctuations. According to results of survey, analyzing the sensitivity of the model to policy weight emphasizes on inverse relationship between weight imposed by economic policy makers on the target variable, and standard deviation of values ofthe optimal paths for that variable. Also, this paper shows that mathematical economic models and techniques can be used in order to solve the problems of growth, production and inflation.
