Farhad Khodadad Kashi; Mohamad Nabi Shahiki Tash; Samaneh Nooraniazad
Volume 5, Issue 19 , June 2015, , Pages 114-95
Abstract
The main purpose of this study is to examine the relationship between market structure and economic growth in iran. Using Lopez - Azzam (2002) Approach, the extent of endogenous markup in different markets was estimated. Then the relationship between markup and economic growth was investigated by baranova ...
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The main purpose of this study is to examine the relationship between market structure and economic growth in iran. Using Lopez - Azzam (2002) Approach, the extent of endogenous markup in different markets was estimated. Then the relationship between markup and economic growth was investigated by baranova (2013) model. In this paper we also examined structural and behavioral aspects of 131, 4-digit industry over the 1995-2011 periods. These aspects include markt power as structural variable and conjectural variation as behavioral variable. In addition we sought to identify the impacts of markup on economic growth. The results of this study indicate that based on conjectural variation, firms cooperate in 91 percent of industries. On the other hand, Lerner index and markup in 94.2 percent of industries were higher than 0.1 percent and 1.001 respectively. Our findingsalso indicate that there is a negative association between endogenous markup and economic growth. According to the results of this study, low level of competition in industries led to limited growth in Iran.
Mohammad Nabi Shahiki Tash; Saber Molaee; Khadijeh Dinarzehi
Volume 4, Issue 16 , November 2014, , Pages 52-41
Abstract
The main objective of this paper is to examine the impact of economic growth on coefficient of cardinal welfare in Iran’s economy. Hence, we employ the Bayesian approach and the estimation of forward and backward density functions in order to measure the effect of economic growth spillovers ...
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The main objective of this paper is to examine the impact of economic growth on coefficient of cardinal welfare in Iran’s economy. Hence, we employ the Bayesian approach and the estimation of forward and backward density functions in order to measure the effect of economic growth spillovers on the social welfare. The paper has applied the Gibbs sampling algorithm which is a rigorous tool for forward simulation so as the results rising from this simulation indicate that there is a positive relationship between economic growth and welfare variables in Iran. It means that the flow of economic growth has had a positive impact on the rise of welfare in the country, such that the average of Bayesian coefficient is near to 0.17 per cent for the change of welfare during the period 1985- 2011. Accordingly, it is recommended that: 1- the policy makers should follow the growth-based strategies 2- the respective officials should identify the effective variables on growth in order to increase growth rate for the economy and eventually, 3- design more efficient institutions for the poor so as they enjoy greater gaining from the growth.
