Industrial Economics, Structure_Conduct-Performance
abdolreza korani; ALI FALAHATI
Abstract
This study examines the cost function and cost efficiency of electricity distribution companies in Kermanshah Province within the framework of Stochastic Frontier Analysis (SFA) using the maximum likelihood method. The central objective of this research is to measure the cost inefficiency coefficient. ...
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This study examines the cost function and cost efficiency of electricity distribution companies in Kermanshah Province within the framework of Stochastic Frontier Analysis (SFA) using the maximum likelihood method. The central objective of this research is to measure the cost inefficiency coefficient. For this purpose, panel data from 19 electricity distribution companies in Kermanshah Province from 2017 to 2021 were used. The findings indicate that the Harsin Electricity Distribution Company, with a cost efficiency of 63%, ranked first among the 19 companies, while the Eslamabad-e Gharb Electricity Distribution Company ranked last. The low cost efficiency of the latter suggests a significant deviation from the efficient frontier. Additionally, the result of cost efficiency estimation reveal that the overall cost efficiency of the electricity distribution industry in Kermanshah Province is relatively low. The general performance and ranking of the companies have remained relatively stable, indicating no significant improvement in cost efficiency or performance among the 19 electricity distribution companies during the study period.
Industrial Economics, Structure_Conduct-Performance
Sarina Salimi; ramezan hosseinzadeh
Abstract
This study examines the factors affecting employment changes in the industrial sector of Sistan and Baluchestan Province during 2017-2021 using the Logarithmic Mean Divisia Index. Based on this method, employment changes in the industrial sector of the province were decomposed into three factors: changes ...
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This study examines the factors affecting employment changes in the industrial sector of Sistan and Baluchestan Province during 2017-2021 using the Logarithmic Mean Divisia Index. Based on this method, employment changes in the industrial sector of the province were decomposed into three factors: changes in employment coefficients, changes in production volume, and structural changes in production. The results of the model showed that the effect of production volume was positive in all four periods under study and contributed to the increase in employment in the industrial sector of the province. Meanwhile, the effect of this factor in the two sectors of food industry and machinery industry has played a more prominent role than in other industrial sub-sectors of the province and has increased the employment of these sectors to a greater extent. The increase in employment in the province's industrial sector in the 2010-2011 period was 90 people and 201 people in the food industry and machinery sectors, respectively. The effect of changing employment coefficients in all four periods under study was negative and led to a decrease in employment in the total industrial sector of the province. Also, the effect of the industrial production structure in two period was negative and led to a decrease in employment in the total industrial sector. Based on the results, it is suggested that appropriate planning be made to increase the volume of industrial production in the province, as well as the structure of industrial production towards sectors that have higher employment generation.
Industrial Economics, Structure_Conduct-Performance
uosef mehnatfar; Sogand Hossein Nia Chafjiri
Abstract
The energy sector is the basic foundation of economic and social activities of every country. In today's world, the discussion of energy, its supply and consumption is one of the most prominent issues facing mankind. Considering the limited non-renewable energy resources available on earth and the indiscriminate ...
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The energy sector is the basic foundation of economic and social activities of every country. In today's world, the discussion of energy, its supply and consumption is one of the most prominent issues facing mankind. Considering the limited non-renewable energy resources available on earth and the indiscriminate use of fossil fuels, which has resulted in a lot of environmental pollution, the importance of alternative energy sources that are healthier and more reliable is well known. For this reason, in recent years, various countries, both advanced and developing, have paid increasing attention to renewable energies in order to create diversity in the use of energy sources and reduce dependence on an energy carrier and environmental considerations. The current research has investigated the effect of renewable and non-renewable energy intensity on the economic growth of selected countries during the period of 2010-2022 using panel data method. The results of the study show that there is a significant relationship between economic growth and intensity of renewable and non-renewable energy.
Industrial Economics, Structure_Conduct-Performance
Mostafa Shamsoddini
Abstract
Industrial competitiveness, as one of the key pillars of economic development, plays a decisive role in enabling countries to effectively participate in global markets. This study employs the spatial dynamic panel (SDP) approach to examine the simultaneous impact of credit risk, corruption, and institutional ...
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Industrial competitiveness, as one of the key pillars of economic development, plays a decisive role in enabling countries to effectively participate in global markets. This study employs the spatial dynamic panel (SDP) approach to examine the simultaneous impact of credit risk, corruption, and institutional conditions on industrial competitiveness in 14 Middle Eastern countries over the period 2000–2023. The findings of the research indicate that corruption and credit risk have a significant and negative impact on the industrial competitiveness index and the spatial-institutional effects matrix methodically delineates three discrete institutional clusters within the region; Furthermore, spatial modeling substantiates that institutional spillover effects on industrial competitiveness in the Middle East are considerably more pronounced than spillover effects emanating from trade relations or geographical proximity. Enhancing industrial competitiveness in the Middle East necessitates an integrated approach that concurrently addresses corruption, reduces credit risks, and fortifies governance institutions with a focus on regional collaboration. Spatial-institutional spillover effects have rendered enhancing competitiveness a collective challenge, particularly in countries with deficient governance structures.
Mahsa Mahjoubi
Abstract
Good governance plays a key role in creating sustainable development and efficient management of public resources and is recognized as one of the main tools for improving people's quality of life and social justice. The aim of this study is to investigate the impact of good governance indicators on carbon ...
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Good governance plays a key role in creating sustainable development and efficient management of public resources and is recognized as one of the main tools for improving people's quality of life and social justice. The aim of this study is to investigate the impact of good governance indicators on carbon dioxide emissions in selected Asian countries that contribute significantly to global carbon dioxide emissions. According to the threshold panel model, the CO2-GDP relationship is considered dependent on good governance indicators. The results of the model estimation show that with the improvement of good governance indicators and exceeding the threshold level, the coefficients of GDP variables in the CO2-GDP relationship change in such a way that less carbon is emitted per unit of GDP. The greatest reduction in carbon dioxide emissions is achieved by improving the regulatory quality. Also at higher levels of GDP, improving governance indicators leads to a greater reduction in carbon dioxide emissions. In all indicators, except for the political stability, the threshold level is lower than the average of the index. In other words, at higher levels of the political stability, we can witness its positive impact on environmental quality. The existence of an N-shaped environmental Kuznets curve for this group of countries indicates that GDP does not solve environmental problems in the long run. Pollution does not automatically disappear with economic growth and good governance can be a solution to sustainable development. Therefore, strategies to improve institutional quality can be useful in achieving of sustainable development.
Industrial Economics, Structure_Conduct-Performance
soheila mirzababazadeh
Abstract
Nowadays, Productivity is one of the important factors in the growth and development of each industry and organization. Advertising is one of the important market behavior variables that will lead to increase productivity through the impact on profitability and competitiveness in industries. Also Research ...
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Nowadays, Productivity is one of the important factors in the growth and development of each industry and organization. Advertising is one of the important market behavior variables that will lead to increase productivity through the impact on profitability and competitiveness in industries. Also Research and development expenditure lead to technological development, cost reduction and productivity increase .In this research, the growth rate of productivity in automobile industry by separating technical efficiency and scale efficiency and emphasis on advertisement and research & development expenditure is investigated, which was done by help of boundary decomposable function and Kumbhakar and Lovell's approach. Estimation has been conducted using fourth edition ISIC (International Standard Industrial Classification) four-digit data for Iranian industrial firms during the time period from 2002 to 2020. The results show that in this period, the average growth rate of production factor productivity in the Iranian automotive industry is -2 percent, which is due to the increase in technical progress with a share of 1.7 percent, changes in technical efficiency with a share of 0.6 percent, and a decrease in scale efficiency of 4.2 percent. There are also diminishing returns to scale in this industry, and the unit cost of production is expected to increase with increasing scale and production capacity. Advertisement has a negative and significant impact and research and development has positive and significant impact on the productivity at the probability level of 5%.
