Mohammad Nabi Shahiki Tash; Javad Taherpoor; Ali Nourozi
Abstract
In this study, by employing a flexible cost function we calculate the technological change measure and total factor productivity and examine the impact of technology on the combination of input and scale of production in Iranian manufacturing industries. According to the results of technological change ...
Read More
In this study, by employing a flexible cost function we calculate the technological change measure and total factor productivity and examine the impact of technology on the combination of input and scale of production in Iranian manufacturing industries. According to the results of technological change at the average data level, total production cost of industry has decreased by an amount of 0.49 percent during the period 1996-2009. All 23 studied industries have deviation from input technology. In addition, technological change has led to saving in raw materials and to an increase in the use of three inputs of labor, capital, and energy. The technological change is non-neutral and has led to changes in production scale and based on the technology scale bias, technological change has led to a decrease in optimal production scale.
Mohamad Nabi Shahiki Tash; Farhad Khodad Kashi; Ali Norouzi
Volume 19, Issue 59 , July 2014, , Pages 39-71
Abstract
In this study the market structure of industrial sector has been evaluated based on the index of economies of scale, Herfindahl – Hirschman concentration index, and Lerner concentration index. Also, the relationship among profitability index and indexes of concentration ratio and economies of scale ...
Read More
In this study the market structure of industrial sector has been evaluated based on the index of economies of scale, Herfindahl – Hirschman concentration index, and Lerner concentration index. Also, the relationship among profitability index and indexes of concentration ratio and economies of scale has been examined. Data used include the information of input and output of the components of cost function, market share of industries, number of firms, and the output price related to 23 industries of ISIC 2-digit code for the period 1996-2009. The result of evaluation of concentration ratio based on the Lerner and Herfindahl indexes indicates that the concentration level has declined during the period under study, while the industry sector has been away from competitive situation. In addition, the elasticity of cost with respect to output is less than unit for all of the industries implying the existence of economies of scale for 23 industries. The most important finding of this study is that the profitability index of industry sector is less than 50% and equal to 38% and the Lerner index and economies of scale are able to explain 52% of variations in profitability index of whole industry. Also, the Lerner index has relative superiority in the explanation of profitability index compared with Herfindahl – Hirschman concentration index.
Ali Emami Meybodi; Musa Khoshkalam Khosroshahi; Rohallah Mahdavi
Volume 13, Issue 41 , February 2010, , Pages 79-106
Abstract
Productivity improvement is one of the important factors in economic growth.. This paper attempts to study the impact of human capital on Total Factor Productivity in the industrial sector of East Azarbaijan Province in Iran during the period 1374-1385 (1994-2005). To probe the impact of human capital ...
Read More
Productivity improvement is one of the important factors in economic growth.. This paper attempts to study the impact of human capital on Total Factor Productivity in the industrial sector of East Azarbaijan Province in Iran during the period 1374-1385 (1994-2005). To probe the impact of human capital on Total Factor Productivity, the Data Envelopment Analysis (DEA) technique the Malmquist Index have been applied. The results indicate that the management efficiency, as an index of human capital, affects the TFP to almost the same extent as other factors.
Esmaiel Abounoori; Najmeh Gholami
Volume 13, Issue 39 , July 2009, , Pages 71-53
Abstract
In this study, nominal & real average compensated wage has been computed for woman & man in each industry during 1999-2005, then the effect of gender on the average compensated wage are estimated using regression analysis of variance. The results indicate that the highest shock (highest ...
Read More
In this study, nominal & real average compensated wage has been computed for woman & man in each industry during 1999-2005, then the effect of gender on the average compensated wage are estimated using regression analysis of variance. The results indicate that the highest shock (highest coefficient of variation) in the per capita compensated wage for men as well as women, has happened in "Manufacture of office, accounting and computing machinery", while the lowest fluctuation has happened in "Manufacture of tobacco products", "Tanning and dressing of leather; manufacture of luggage, handbags, saddler, harness and footwear" for man & woman employees, respectively. The interesting point in this research is that, assuming other things equal, the real average compensated wage for women employees has been less than that of men by about 4220000 Rials per annul. Of course this gap, may be due to more overtime work, level of experience, level of skills and educations of the men comparing that of the woman’s, which have not been considered in this study.
alireza karbasi; Hamideh Khaksar Astaneh
Volume 5, Issue 15 , July 2003, , Pages 19-35
Abstract
The first objective of this study is to understand the interaction between the industrial and agricultural sectors of Iran, and the second is to evaluate the relationship between tomato production, and the GDP industrial growth. It uses a simultaneous analysis of the impact of agricultural and industrial ...
Read More
The first objective of this study is to understand the interaction between the industrial and agricultural sectors of Iran, and the second is to evaluate the relationship between tomato production, and the GDP industrial growth. It uses a simultaneous analysis of the impact of agricultural and industrial GDP on one another.The data were collected from PDS information bank and FAO and cover the period 1978-2000. Estimation was done by the ordinary least squares (OLS) method and two-stage least squares (2SLS).Results show that these sectors are complementary to each other, but agriculture tends to benefit more from industrial growth. Also, the results indicate that the tomato production can be affected by industrial growth, but the tomato production coefficient is small in tomato - dependent GDP industrial equation, meaning that tomato production has little impact on industrial growth.
