total factor productivity of production؛
samira motaghi
Abstract
The current research aims to investigate the effectiveness of scientific innovation on the productivity of the labor force in Islamic countries with the use of health as a mediating variable with an analytical approach. In this study, data panel and Eviews 13 software were used, which examines and analyzes ...
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The current research aims to investigate the effectiveness of scientific innovation on the productivity of the labor force in Islamic countries with the use of health as a mediating variable with an analytical approach. In this study, data panel and Eviews 13 software were used, which examines and analyzes independent variables on labor productivity during the period of 2010-2022. The variables examined in this research include per capita physical capital, technology, innovation, education, health care expenses, and life expectancy. The variable index of physical and human capital, respectively, is the calculation of net capital formation on the number of employees and the average years of education, which has a positive effect on labor productivity, as well as the index of the number of articles published in scientific and technical journals as a substitute for the variable of innovation and technology export. Advanced, which is a representative for the technology variable, and the index related to health measurement, which life expectancy and health cost per capita is considered as a substitute for the level of health and health, with its improvement, it increases the level of productivity of the labor force. . The results of the research show that all the variables used in the research have a positive and significant effect on the growth of labor productivity in the group of Islamic countries.
atefeh ahmadi; ahmad salahmanesh; hassan farazmand; ebrahim anvari
Abstract
Due to the importance of developing non-oil exports in the country, in this study, the cement export market, which is one of the basic and strategic industries, has been studied. Therefore, by calculating the productivity threshold, counting the costs of penetration of the trading partner countries, ...
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Due to the importance of developing non-oil exports in the country, in this study, the cement export market, which is one of the basic and strategic industries, has been studied. Therefore, by calculating the productivity threshold, counting the costs of penetration of the trading partner countries, the export growth rate has been studied by solow model, panel data and methods Econometrics (FGLS) for the period 2003-2020. Results for 12 trading partner countries shows that firms with productivity close to the threshold value are able to the more penetrate in market. However, the presence of external threats (such as economic sanctions, recession in the country, transportation facilities, coronary heart disease and etc.) has a negative impacted on the growth rate of cement exports despite the increasing influence of firms’ penetration in the market. In addition, measures such as increasing the productivity of enterprises, expanding international marketing activities and government support policies the effects of external threats on cement exports have somewhat reduced.
yasaman hokmollahi; ali taiebnia; mohsen mehrara
Abstract
Trade liberalization, both directly and indirectly (through structural changes), affects the total factor productivity. The key factor in determining the direction of this impact is the quality of institutions. In this study, to consider the most important aspects of structural change, we propose a multidimensional ...
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Trade liberalization, both directly and indirectly (through structural changes), affects the total factor productivity. The key factor in determining the direction of this impact is the quality of institutions. In this study, to consider the most important aspects of structural change, we propose a multidimensional index for structural change using the principal component method and then applying the Bayesian averaging method (IVBMA) econometrics model evaluate the effect of trade liberalization, structural changes, and the quality of institutions on total factor productivity in a subsample of 64 countries. our IVBMA results indicate that structural change, business freedom, and resources rents are the most important variables in explaining the observed differences in the total factor productivity index. Structural change with a posterior inclusion probability (PIP) of 0.74 Is the most important independent variable to explain the observed differences in the level of total factor productivity. Increasing the multidimensional index of structural change with a posterior coefficient of 0.14 has a negative effect on total factor productivity. An increase in business freedom index and resources rents leads to 0.39 and 0.22 increase in total factor productivity index. Trade liberalization with a posterior inclusion probability of 0.45 had a positive effect on total factor productivity. Granger causality test also shows that trade liberalization is the cause of structural change; Therefore, trade liberalization in this study has caused structural changes that reduce productivity.Keywords: Structural change, Trade liberalization, Institutions, Productivity
total factor productivity of production؛
Farrokh Norozi; Masoud Nonejad; Mehrzad Ebrahimi; Jalil Khodaparast Shirazi
Abstract
Today most developed and developing countries emphasize on the importance of productivity as one of the necessities of economic development and competitiveness in the world. Because todays, competition is taking various dimensions and striving for higher productivity is one of the important factor of ...
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Today most developed and developing countries emphasize on the importance of productivity as one of the necessities of economic development and competitiveness in the world. Because todays, competition is taking various dimensions and striving for higher productivity is one of the important factor of these competitions. On this basis, identifying the factors of affecting productivity growth in the Iran economy is essential for economic growth and development. Therefore, this study intends to first identify the factors affecting productivity growth by using feature selection logic, basis on Non-Dominated Sorting Genetic Algorithm (NSGA-II) then estimate the selective model using Artificial Neural Networks (ANN) for the period (1991-2016) and finally using the Garsen index to measure the sensitivity analysis of factors affecting productivity growth. Based on the results of the feature selection among the twenty variables, foreign investment, health investment, rail lines, innovation index and exchange rate (five variables) were removed from the model. Based on the results of ANN model with Tansig activation function with 3 neurons, it has a prediction power of 0.993 and minimum error of model 0.0019. Also, according to the Garsen index, human capital (15%), government size (11%), openness, research and development and economic corruption control (8%) had the highest impact on productivity growth and monetary development (1.48%) the rule of law (2.27%) and physical capital (3.2%) had the least impact on productivity growth.
total factor productivity of production؛
Mehdi Fathabadi
Volume 8, Issue 29 , December 2017, , Pages 156-145
Abstract
This study examines the impact of intellectual capital on changes in productivity and efficiency in Iran’s insurance firms for period 2008-2013. First, it estimated the Malmquist productivity index (MPI) and efficiency index with data envelopment analysis (DEA) approach. Second, this paper examines ...
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This study examines the impact of intellectual capital on changes in productivity and efficiency in Iran’s insurance firms for period 2008-2013. First, it estimated the Malmquist productivity index (MPI) and efficiency index with data envelopment analysis (DEA) approach. Second, this paper examines the impact of intellectual capital components (human capital, structural capital, financial capital) on changes in productivity and efficiency through panel data regressions. Our MPI findings indicate that most of insurance firms experienced decrease in productivity over the sample period; which it is due to decline in efficiency. The fixed effects estimation results reveal that intellectual capital and its individual components have significantly positive impacts on changes in productivity and efficiency of insurance firms. We suggest that general insurers in Iran should invest in intellectual capital, including improving their managerial skills, to gain sustainable growth in productivity. The findings of this study may lead to a better understanding of the relative changes in total productivity of general insurance firms. By identifying changes in efficiency and productivity, better management decisions can be made to achieve greater productivity.
Hadi Ghaffari; Ali Younessi; Atena Abedini
Volume 6, 23(2) , September 2016, , Pages 54-37
Abstract
One of the main challenges facing agricultural development in rural areas is the lack of efficient use of the factors of production, particularly land and water with the wisdom and the distribution of land belonging to each of the beneficiaries to be associated. To solve this challenge in different countries ...
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One of the main challenges facing agricultural development in rural areas is the lack of efficient use of the factors of production, particularly land and water with the wisdom and the distribution of land belonging to each of the beneficiaries to be associated. To solve this challenge in different countries land consolidation policies as a logical and workable solutions have been used. The purpose of this study is to check the impact of the land consolidation on Shazand city agricultural productivity. The type of research is practical and the method used is descriptive – analytical and for collecting data the library and field methods (questionnaires and interviews) were used. Due to the limited number of villages where the land consolidation project has done, two villages by the name of Homriyan and Mohajerane Khak were selected. To analyze data, statistical methods of Wilcaxon nonparametric test, Friedman test, Chi-square test, Kolmogorov–Smirnov test, and paired and independent t-test are used. The results show that there are significant differences in the number of pieces of land of each beneficiary, the area under cultivation, wheat and barley operation, the area under pressurized irrigation systems, the cost of machinery to plow, plot layout, the cost of land preparation, planting costs, the use of machines for fertilizer and seeding, harvesting and transportation, the use of pesticides and workers as well as the amount of water consumption in the period before and after the land consolidation project. All these could be able to make important changes in the productivity of factors of production.
Mohsen Tarafdar; Mohammad Mehdi Askari; Korion Grigoorian
Volume 6, 23(2) , September 2016, , Pages 88-73
Abstract
The shortage of irrigation water is one of the most important problems which Iran is facing it. Irrigation water pricing is one of the economic approaches to manage it and using efficiently. This paper's purpose is to evaluate the effect of irrigation water price induction on productivity of agriculture ...
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The shortage of irrigation water is one of the most important problems which Iran is facing it. Irrigation water pricing is one of the economic approaches to manage it and using efficiently. This paper's purpose is to evaluate the effect of irrigation water price induction on productivity of agriculture section in Iran (case: Kashan). This study is an application –development in terms of objective and is a post- event in terms of the study design and descriptive in terms of conclusion. The paper's results show that during study period (2006- 2010), irrigation water price has risen in kashan region. But this leads not only to increase average cultivated land per a farmer, but also, to increase crops and garden products monetary productivity. It means that Iranian government can use irrigation water price induction as a tool for increasing productivity in agriculture section in Iran. In addition, crops and garden products have different productivity. Results also show that dill and apricot have the highest productivity in among all crops and garden product in the region respectively.
s
Mani Motameni
Volume 6, Issue 23 , May 2016, , Pages 44-33
Abstract
This study tries to investigate wage-productivity relation in Iranian manufacturing industries. For this purpose, 21 rows of ISIC categories of Iranian factories have been used during years of 1998-2012. Panel data Econometric method has been applied for data processing in homogenous and heterogeneous ...
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This study tries to investigate wage-productivity relation in Iranian manufacturing industries. For this purpose, 21 rows of ISIC categories of Iranian factories have been used during years of 1998-2012. Panel data Econometric method has been applied for data processing in homogenous and heterogeneous mode. The initial result shows a unique explanation could not be found regarding productivity reaction to wage in different manufacturing industries. Therefore, the industries have been divided to two separate groups: the industries with high and low human capital. Then, wage-productivity relation has been tested separately for each group. The results show wage-productivity relation occurs in the industries with higher human capital. In other words, productivity will be increased by wage rising. However, there is not wage-productivity relation for the industries with low human capital.
Mohammad Ali Falahi; Mohammad Hosein Hoseinzade Bahreini; Hasan Moghadam Nejad
Volume 2, Issue 8 , December 2012, , Pages 36-23
Abstract
Increasing productivity, as a way to reduce the gap between supply and demand and also as a factor to reduc the production costs and to increase the efficiency of resources use and the quality and competitiveness of products, is considerable for economists and policymakers. On the other hand, the ...
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Increasing productivity, as a way to reduce the gap between supply and demand and also as a factor to reduc the production costs and to increase the efficiency of resources use and the quality and competitiveness of products, is considerable for economists and policymakers. On the other hand, the reduction of unemployment is another challenge facing the countries of the world too. But the ambiguity to achieve both goals simultaneously has been appeared in the recent theoretical and empirical studies. The main question in this study is whether productivity enhancing, causes reduction in Iran's indusrial employment? to address this question, a multivariate structural VAR model, including industrial labor productivity, employment and CPI for the 1973-2007 period has been applied and the data gathered from APO, statistic center and central bank of Iran. Estimation of structural model is based on Blanchard-Quah decomposition approach. The results show that promoting productivity policies have little role and importance in the employment variations, thereby its size in reducing employment in the long run is negligible.
Akbar Komijani; Gholamali Haji
Volume 2, Issue 7 , September 2012, , Pages 20-9
Abstract
In this article growth resources for Iran will be assessed for the period of 1959 – 2010 in format of two models. In the first model in addition of labor and capital from export, government expenditure and terms of trade in the production process will be used as effective inputs. Inserting export ...
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In this article growth resources for Iran will be assessed for the period of 1959 – 2010 in format of two models. In the first model in addition of labor and capital from export, government expenditure and terms of trade in the production process will be used as effective inputs. Inserting export was because of offering improvement of production technique training of skilled labor and work wild improvement was because of open economy and also inserting government spending and also terms of trade was because of dependence of government budget to oil and open economy of country. In the second model, economy will be divided to, two sectors of export and non – export that each of these sectors has a separate production function. In this model growth not only occurs because of labor and capital in export sector but also reallocation of resources from non – export sector to export sector will be effective in growth. In both models there is a positive and significant relation between export and economic growth. In both models Bruesch-Godfrey statistic indicates to the lack of serial correlation between residual terms also Bruesch-Pagan-Godfrey statistic indicates to lack of infinite consistency residual term variance.
