Showing 6 results for Labor Productivity
Volume 8, Issue 20 (12-2004)
Abstract
At the present time that our country is passing through a critical period, the role of the administrative, industrial and educational organizations is inevitable in the economic operation and development of the country. But the fact whether all of them have been successful in making an effort to obtain the given aims is really questionable, because some of them seem to have performed a lot better than the others. Viewing the success of some of these organizations, we can find out about some common and key factors which have played important roles in their efficient performance.
An important factor is the existing powerful and overruling culture in which these organizations operate. Certainly, getting to know such factors and supporting them would be a useful step in leading these organizations to achieve their ideal goals successfully.
In this Article, first a theoretical analysis of culture and organizational culture is presented, then labor productivity and finally the existing theories concerning the relationship between organizational culture and labor productivity are explained. Also, in this investigation, using variance test analysis, the rank of Management Colleges of such academic institutions like Higher Education Confederate of Ghom, Tehran University, Allameh - Tabatabaei University and Shahid Beheshti University have been determined on the basis of the impact of organizational culture on the rate of productivity. By applying the correlation coefficient of Spearman, the relation of organizational culture with productivity of colleges has been analyzed with regard to the criteria explained for productivity. Finally, using Friedman’s test the criteria and characteristics of organizational culture have been ranked.
, ,
Volume 9, Issue 1 (4-2009)
Abstract
From exports point of view, competitiveness concept is a very restricted approach. Competitiveness is a reflection of microeconomic decisions, socio-political problems and public welfare and it must also potentially be able to help countries achieve a sustainable value added creation. Due to this reason, most studies on this issue consider competitiveness in terms of efficiency and labor productivity.
This paper uses competitiveness indexes and competitiveness factor of international management development to examine the country's competitiveness power such as knowledge based competitiveness, education, technology and information infrastructures, innovation and economic and institutional performances.
The results indicate that a quadratic form explains the relationship between competitiveness and human capital. It confirms that the average years of schooling has a positive effect on labor productivity. Moreover, technology and information infrastructures (ICT), defined as the ratio of ICT expenditures over GDP, has a positive effect on labor productivity. Government size and the degree of openness have a negative effect on competitiveness. Economic and institutional performances have a positive effect on competitiveness, the more freedom of speech, the higher the competitiveness power.
Dr Seyed Jamaledin Mohseni Zonouzi, Mrs. Solmaz Sadegpour, Mrs. Morteza Dehgandorost,
Volume 19, Issue 4 (12-2019)
Abstract
This study is an attempt to identify the persistent obstacles in improving labor productivity path and to give insight to policymakers into the food and beverage industry and related industries about the geographic concentration of industry, educational distribution of employees, and their relationships with labor productivity. For this purpose, a panel data model is applied for explaining labor productivity in the food and beverage industry over the period 2000- 2014. In addition, motivational indices (wage per worker), per capita capital stock and physical capital management index (the number of private and public firms) are used as explanatory variables. The results suggest that improvement in labor productivity in food and beverage industry sub-sectors requires reducing educational dispersion of the labor force by employing high-educated workers, increasing geographical concentration, improving incentive system by determining appropriate wage, and enhancing management through reducing state ownership of industrial firms.
Volume 22, Issue 3 (7-2015)
Abstract
The present paper attempts to estimate the relationship between labor productivity and health, technological progress and education, using panel data observing 57-nation Orgamization of Islamic Coopeation, OIC over the period of 1995-2009. A two-step procedure was used with the first involving an estimate of labor productivity based on observations in the OPEC, GCC and ECO member countries and also African nations within the Islamic countries. The second step involved an estimate of the effect on labor productivity of health, technological progress and education. Our findings indicate that labor productivities in Islamic countries with some exceptions on an average are above 3 with the highest of 12 belonging to Azerbaijan. Exceptions are Somalia and Gabon with negative productivities and Brunei and Cameroun with productivities around one. The only variable influencing labor productivity in the Islamic countries is health with technology and education having no meaningful influence.
Dr Niloofar Moradhassel, Mr. Mri Saeed Kazempour,
Volume 23, Issue 1 (3-2023)
Abstract
Aim and Introduction
In recent decades, governments have taken an important step towards an information society, better service delivery, and improving the welfare of their society by developing e-government. The development of communication technology and e-government is considered an effective factor in economic growth and development and high labor productivity. The aim of this research is to investigate the role of e-government development on labor productivity in developing countries including Iran using the vector autoregression approach with panel data (P-VAR) over the period 2003-2020.
Methodology
Sims(1986) first used a vector autoregressive (VAR) model to analyze the dynamic relationships among multiple variables The model assumes that all variables are endogenous. This model uses the lags of all endogenous variables to test the dynamic relationships among all variables. Holtz-Eakin et al.(1998) extended the vector autoregressive model to make a perfect combination of panel data and time series models, making it a powerful analytical tool for macro-dynamics research. To examine renewable energy consumption, population aging, and agricultural green total factor productivity in the same framework, this paper constructs a PVAR model based on the traditional vector autoregressive model. A Panel vector autoregressive model(PVAR) includes the analysis of the Forecast Error Variance Decomposition– FEVD and the analysis of the Orthogonal Impulse Response Function – OIRF. Parameter estimation in the PVAR model is performed using the Generalized Method of Moments. For the stability of the regression equations, a polynomial matrix is used and a partial unit root test is performed for all variables based on the augmented Dickey-Fuller test.
Findings
The results of the study show that due to a positive shock in the development of e-government, labor productivity reacts strongly and positively, which indicates that the development of e-government, in the long run, can lead to increased labor productivity in developing countries. The results also show that in developing countries, the impact of health shock is greater than the impact of other variables such as physical capital formation shock and education variables.
Discussion and Conclusion
Today, the importance and impact of the development of new technologies such as artificial intelligence, the internet of things, and big data in different sectors are so great that this period is referred to as the age of communication. Entering this era and the development of electronic tools has changed the needs of people and societies. The aim of this research was to investigate the role of e-government development on labor productivity in developing countries. The results of the modeling show that the variables of health, physical capital, education, and e-government development are the main factors affecting labor productivity, respectively.
Also, the results of the research show that the response of labor productivity to the shocks of labor productivity itself was positive in the long term. This effect gradually decreases. Specifically, when a positive shock occurs in labor productivity, this situation is considered a signal for the labor force to continuously seek to improve its productivity. According to findings, the reaction of labor productivity to the positive shocks caused by the development of e-government has also been positive, which indicates that the development of e-government has a long-term effect on labor productivity and can lead to an increase in labor productivity in the long run.
According to findings, in developing countries at the end of the 10th period, about ten percent of labor productivity changes are explained by e-government development shocksLabor productivity. As expected, the impact of the health shock on labor productivity is positive. Quantitatively, the effect of this shock is greater than the shock caused by education and physical capital, which shows the significant impact of health on labor productivity in developing countries. The reaction of labor productivity to the shocks of education is consistent with theoretical expectations. Also, according to expectations, physical capital has a significant effect on labor productivity in developing countries.
In general, it can be seen that in developing countries, any positive change in the development of e-government has an impact on labor productivity (based on the decomposition of impulse-response functions and the analysis of the variance of the forecast error). Also, the response of labor productivity to the changes in the field of health has been greater. Therefore, the authorities of developing countries should improve the productivity of the workforce, pay attention to the development of human capital and physical capital indicators, and implement and develop the e-government as best as possible.
Mr. Mohsen Latifi, Dr. Nooraddin Sharify,
Volume 23, Issue 4 (12-2023)
Abstract
Introduction:
International trade is usually associated with competition. During this competition, successful producers have lower production costs. Reducing the cost of production requires the use of different ways. One of these ways is the better use of primary production factors such as labor force. Thus, this paper attempts to investigate the effect of changes in foreign trade along with other effective factors on changes in labor force usage in Iran.
Methodology:
There are several methods to study the quality of labor force usage. The labor force productivity is considered as a criterion that is used in many researches. To this end, this study investigates the effects of foreign trade on labor force productivity changes in different production sectors. The data required for this research are provided from the input-output tables of 2011 and 2016, the national accounts and the results of the population and housing census for the years 2011 and 2016. For this purpose, first, symmetric tables of the sample years have been made with the assumption of sector technology, using consumption and supply tables of these years. Then, in order to calculate productivity and compare them in the sample years, the dimensions of the created tables have been standardized. Finally, using the Structural Decomposition Analysis (SDA) approach, the effects of changes in trade balance, along with export and import ratio to trade balance, export and import structure, self-sufficiency, production technology and employment on changes in labor force productivity are determined.
At the sectoral level, the value of the production of the industrial sector in 2016 compared to the corresponding value in 2011 (at the price of 2016) has decreased due to the recession prevailing in this sector. The value of products at fixed prices in trade and repair and mining sectors, including crude oil and natural gas, has decreased due to reasons such as sanctions and low economic growth in these periods. In contrast, the value of production shows an increase at a fixed price in the public affairs, defense and social security /real estate and real estate services/transportation and agriculture sectors.
Results and Discussion:
The total value of production in 2016 compared to 2011 has increased nearly 2006.70 million Rials at the price of 2016. The number of employed people in the country has increased by 2,113,120 people during this period. Because of these changes, the productivity of the country's labor force has reached from 1038.12 million Rials in 2011 (at the price of 2016) to 1029.84 million Rials in 2016, which shows a decrease of 8.28 million Rials.
At the sectoral level, the value of the production of the industry sector in 2016 compared to the corresponding value in 2011 (at the price of 2016) has decreased due to the recession prevailing in this sector. The value of products at fixed prices in trade and repair/ and mining sectors, including crude oil and natural gas, has decreased in these years due to reasons such as sanctions and low economic growth. In contrast, the value of production shows an increase at a fixed price in the public affairs, defense and social security/real estate and real estate services/, transportation/ and agricultural sectors. In view of employment, the agricultural sector has faced a decrease in employment during the study period. In contrast, the industrial/, and trade and repair/ sectors have faced an increase in employment. Because of these changes, the industry/, trade and repair/ sectors have faced a decrease in labor productivity. Whereas the agriculture sector/, transportation/, public affairs administration, defense and social security/ and the activities of real estate and real estate service companies/ have faced an increase in labor productivity.
From the point of view of foreign trade, the industry sector has seen the largest increase in exports, while the electricity sector has faced the largest decrease in exports. In terms of imports, the industry sector has experienced the largest increase, while the education sector has experienced the largest decrease. The correlation coefficient between the exports of the sectors and the productivity of their labor force has been positive. While the correlation coefficient of the different sectors with the productivity of their labor force has been negative. However, the value of these correlation coefficients shows a decrease in 2016 compared to 2011.
Conclusion:
The results of research show that foreign trade has improved labor productivity in the country. In addition, the exports of sectors have relatively similar relationship with the productivity of their labor force, in contrast, the import of goods has an inverse relationship with the productivity of their producing sectors. However, this issue has received less attention in 2016 compared to 2011, which has led to changes in the structure of exports and imports to reduce labor force productivity.