Ayub Abozari; Mohammad Nabi Shahiki Tash; Reza Taleblo
Volume 14, Issue 54 , October 2014, , Pages 101-132
Abstract
Corporate income taxes are the major source of tax revenues. This tax affects the systematic risks that companies confront with. Based on the data about 283 companies over period 2004-2011, we use random effects panel data models to examine the relationship between companies' income, profit before tax ...
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Corporate income taxes are the major source of tax revenues. This tax affects the systematic risks that companies confront with. Based on the data about 283 companies over period 2004-2011, we use random effects panel data models to examine the relationship between companies' income, profit before tax and the beginning retained earnings Results of this study indicate that there is no specific relationship between systematic risk and the amount of tax paid by the companies; Among all companies only 93 fail to show significant effects of systematic risk. Additionally, the sign of the coefficient for the systematic risk variable is not the same for all the companies. The findings also imply that there is a significant and positive relationship between the ratios of profit before tax to nominal capital and the beginning retained earnings with ratio of tax to nominal capital of the companies. Moreover, the magnitude of the coefficient on the ratio of profit before tax to nominal capital is larger than the beginning retained earnings to nominal capital.
Mohammad Nabi Shahiki Tash; Javad Taherpoor; Elham Shivaii
Volume 14, Issue 52 , April 2014, , Pages 47-27
Abstract
Abstract The main objective of this paper is to measure technical deficiency as well as identifying its effective determinants in 23 active industries at 2-digit level ISIC codes during the period 1995-2009. The paper has applied the technical deficiency criterion based on the Collie and Batis approach ...
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Abstract The main objective of this paper is to measure technical deficiency as well as identifying its effective determinants in 23 active industries at 2-digit level ISIC codes during the period 1995-2009. The paper has applied the technical deficiency criterion based on the Collie and Batis approach using the Translog production function in the industries. The findings indicate that the Iranian manufacturing industries have experienced an increasing trend for efficiency so as we have found an increase in the technical efficiency coefficient for all the manufacturing industries in the investigated period. The highest level of technical deficiency is observed in the following industries: production of garment and production and dying of fur; publishing, printing and copying of recorded media; manufacturing of textiles; and recycling. On the other hand, the highest level of technical efficiency is found in the manufacturing of chemicals and chemical products. The results show that the average value of technical deficiency is equal to 0.47. Also it is found that the more the concentration coefficient, the greater the level of deficiency. In other words, the industries with more concentrated structure have had more deficiency. Given the model, in the industries that have a larger coefficient for skilled workforce and benefit from the economies of scale, the level of deficiency has reduced. The findings also demonstrate that the expenditures for the research and development have not had a statistically significant effect on the deficiency decrease in the industries.
