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Showing 2 results for Azami
Simultaneous Estimation of Markup and Return to Scale in Manufacturing Industries of Iran
Somayeh Azami, Sajedeh Jalilian, Maryam Ahmadi,
Volume 7, Issue 25 (10-2016)
Abstract

The current study is an attempt to estimate markup and return to scale of 19 two-digit ISIC manufacturing industries of Iran, simultaneously, in accordance to Solow Residual and Structural approach, during the period 1995-2007. Based on Solow Residual approach, the neoclassical assumption of constant return to scale is approved within 95% of manufacturing industries; however in 84% of industries the price was higher than marginal cost significantly. Based on structural approach, 53% of manufacturing industries of Iran are experiencing increasing return to scale significantly; however, in 79% of industries, the price is higher than marginal cost. According to the criteria share of the cost of inputs in income as a theoretic criteria for return to scale-markup ratio, in 53% of cases, structural approach estimates this ratio closer to the reality.


Total Factor CO2 Emission Performance in Iranian Manufacturing Industries: Meta-Frontier Non-Radial Malmquist Index Approach
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.

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