نشریه پژوهش های اقتصاد صنعتی
پیاپی 4 (تابستان 1397)

Industrial concentration, which is one of the structural characteristics of the business sector, refers to the way of market distribution between different manufacturing industrial. Hence, this study examines the impact of industries’geographic concentration and Gini coefficient of education (as an educational quality indicator) on  labor productivity of  industry sector, over the period 2000-2011, using provincial data and dynamic panel data. First, the desired indicators are calculated and analyzed their growth rate. Also, provinces have been ranked by industry concentration degree and educational gaps. Finally, econometric model has been estimated using Arellano-Bound method. The results show that per capita wage of labor force has the most impact on improving productivity of the industry sector’s  labor. Also, industrial concentration degree has a significant and positive relationship with the dependent variable. The Gini coefficient of education has a significant and negative relationship with labor productivity, is indicating the necessity to apply a policy for reducing dispersion of the level of labor force education in order to improve the productivity.

The purpose of this research is to measure and evaluate the total productivity (efficiency and effectiveness) of Abfa company in West Azarbaijan province during the period of 2009-2016. The effectiveness was measured by a questionnaire and using ANOVA test,  and the efficiency was evaluated through a variety of costs, then  they were weighed and Prioritization  with a fuzzy AHP model. Finally, the total Productivity was calculated by combining these two indicators. Results showed that in terms of the effectiveness dimensions,  the provided services, customers’ perception and satisfaction, reducing the  unwanted results, application of information technology, knowledge level, and company improvement and promotion, had the most share, respectively. Also, they did not have significant differences between different units of Abfar company. In the ranking of the effective factors on efficiency, water costs (with a weight of 0.1458) and equipment costs (with a weight of 0.1446)  had priority. During this period, the productivity had much fluctuations with an average of 52 unit, so that a decline in the efficiency of energy and labor force were the reasons of its low level. Whereas, capital efficiency and effectiveness indicators had better status than the other indicators and had an improving trend.

In this study, using weekly data price For the period 2013-2014, the price transformation and causality relationship between different levels of mutton and beef market in East Azerbaijan province was investigated. According to the results of the generalized Dickey Fuller unit root test, both retail and farm price series are aggregate from one degree, and the Johansen Jocilius coefficient test results indicate a coincidence between the two price series. The results of the causality test for mutton indicate that there is no causality between farm and retail price. On the one hand, there is a one-way causality from the price of the farm to the wholesale price. On the one hand, between wholesale and retail prices, there is a causal relationship between wholesale and retail prices. The results of Granger causality estimation for the beef market indicate that there is unilateral causality from the farm price to the retail price. We also see a causal relationship between the wholesale price and the farm. On the other hand, there is a unilateral causality between the wholesaler and the retailer from the wholesaler to the retailer.

Competition in the banking system due to the entry of new banks has increased in recent years. Therefore, banks have different policies to increase their market share. Income diversification and credit growth are the policies that may affect the banks efficiency. This study examines the effects of credit growth and income diversification on the cost  efficiency of banking system by using the banking-level data over the period of 2006-2014 and applying Tobit model.  The study findings show that the Sina Bank and Bank Meli have the highest and lowest cost efficiency, respectively. The results of Tobit's estimation show that credit growth and income diversification improve the cost efficiency of banking industry.

In many countries, investing in manpower and  in improving its quality has played a major role in promoting productivity and accelerating economic growth. On the other hand, the impact of the development of financial markets on improving productivity and economic development of countries is significant. Accordingly, in the present study, a theoretical framework is presented to investigate the impact of the development of financial markets on labor productivity using the panel vector auto-regressive method for the period 1998-1997 in the MENA region. In addition to examining the development of financial markets, other influential factors such as government spending, health spending and per capita capital (macro variable) are considered as the most important factors affecting the productivity of the manufacturing sector's labor force. According to the findings of this study, the development of financial markets has increased the productivity of the labor in the manufacturing sector. Taking into account the surplus of labor supply in these countries and improving financial services, reallocating resources to high-productivity sectors and encouraging capital inflows can bring productivity to higher levels. Per capita capital  and healthcare spending have had a negative impact on labor productivity in the industrial sector, which can be due to the time gap between investing in an individual until entering the labor market, high per capita health care cost  due to lack of timely prevention. And the environmental pollution that is causing the spread of all kinds of diseases and increasing the cost of health care .

The main purpose of This paper is to evaluate The market power of printing industries by employing conjectural variation approach. To meet this ends the seasonal data of 2-digit ISIC code over the periods of 1996-2014 were used. Moreover, in this study using demand, supply and optimality or equilibrium condition, conjectural variation and market power, both for ststic and dynamic trerm were evaluated. In this article the static and dynamic models using two stages least squares (2SLS) and vector error correction (VECM) methods have estimated respectively. The results indicate that in static model conjectural variation and market power are very low and significant so the competitive behavior exist in Iran’s printing industry. Moreover the results of dynamic model showed that in the short run, firms have competitive behavior, but  in long run they follow cooperative behavior which in turn  led to market power in this industry.