نشریه پژوهش های اقتصاد صنعتی
پیاپی 12 (تابستان 1399)

In recent years, environmental problems have increased and manufacturing  is one of the sectors that emits polluting gases, so energy efficiency and environmental efficiency of industries, has attracted a lot of attention. The purpose of this study is to assess the environmental efficiency in industrial sector of Iran's provinces for natural gas consumption. For this purpose, while using data envelopment analysis and directional distance function, the environmental effects of natural gas consumption were investigated. Labor, capital and natural gas consumption were considered as inputs and carbon dioxide from natural gas consumption and value added were considered as undesirable and desirable outputs, respectively. The results indicate that the environmental efficiency of industries in the provinces of Iran is low. In 1397, the industries of Tehran and Kerman provinces had the best environmental performance. Regional analysis also indicates that the provinces located in area one of the country's divisions have the highest level of environmental efficiency. Findings of this study also confirm the significant dispersion in the efficiency of different areas.

effective factors on market power in Iran’s banking system during 2001-2012. For this purpose, after the evaluation of cost efficiency and the degree of market power exercising in banking industry, effective factors on Concentration in Iran’s banking system were investigated. The results of the study show that the market power and the cost inefficiency in Iran’s banking system have been decreased. Also, the results shown that cost efficiency lead to higher concentration which is consistent with Demstez superior efficiency theory. In other hand, Barrier to Entry has positively effect on concentration level of Iran's banking Industry.  The results also Indicated that increasing the number of branches led to less concentration

The chemical and petrochemical industries are among the industries with high complexity and an important part of the global value chain. This industry (with the ISIC code 24) accounts for 11.7% of the production and 24.7% of the world's industrial exports. Despite its rich oil and gas resources, Iran ranks 22nd in the world with an average production of $ 8.31 billion during the period 2016-2014. Although about 33% of the products of Iran's chemical and petrochemical industry have been exported, due to the lack of attention to production diversification and focus only on the export of a small number of products, the impact of this industry on economic growth has been negligible. In this paper, in order to determine the new areas for export diversification in Iran's chemical and petrochemical industries, two approaches of "economic complexity" and "product space" were used. Five indicators were used to identify high-priority commodity groups for export: "product complexity", "opportunity benefit", "density", "value of global product demand (import volume)" and "global demand growth". The results indicated that in the four-digit HS classification level, despite the existing capabilities, the Iranian petrochemical industry was focused on producing less complex products. Based on the size of the above-mentioned indicators, out of 194 commodity groups in this industry, the production of 60 commodity groups in the Iranian petrochemical industry has priority. At present, Iran's petrochemical industry has a comparative export advantage in only 13 commodity groups out of the above 60 groups. Relying on the existing capabilities, it is suggested that while continuing to support the production and export of these goods, the necessary planning to invest in the development of production and export of other commodity groups (47 other groups) should also be considered.

Monetary policy shocks are among the factors that can affect the prices of industrial goods. Therefore, determining the factors which affect price changes might come in handy for policymakers. Considering this, the purpose of this study is to investigate the effect of monetary policy shocks on the price dynamics of selected industrial commodities group in Iran using a Bayesian VAR in the period of 2008-1 to 2017-4. Due to statistical limitations, the selected industrial commodities include aluminum, copper, gold, beams and zinc. The results showed that in long-term the exchange rate had the most impact on the prices of aluminum, gold and beams; copper and zinc have had the most impact on their prices.  The least impact on all goods except beams was through the price of beams and the least impact on the price of beams was from the price of zinc.

the period 1375-1396, the Bayesian vector auto regressive  (BVAR) was used to evaluate the effect of government effectiveness indicators and financial systems indicators. In this research, financial and Banking based indicators were used. Findings indicate that in the period under review, the shocks on stock market-based financial indicators and government effectiveness index had the greatest impact on the growth of Iran's industrial sector.  The shocks on Stock market-based financial indicators; government efficiency shock; industry-based labor force; and bank-based financial system accounted  for 26.75%, 3.88%, 1.97%, and 1.33% of industry sector growth changes in the long run, respectively. Explain the term.

Considering the important and basic position of the insurance industry in economic growth and development and the effect of economic growth on the development of the insurance industry, in the present study the relationship between macroeconomic indicators and the insurance industry in selected provinces of Iran was investigated. For this purpose, a model consisting of three relationships was designed to explain the relationship between economic growth, insurance density and investment expenditures and was estimated by the generalized method of moments system that among other variables based on theoretical foundations, economic growth was considered a function of insurance density and investment expenditures. Insurance density was considered affected by economic growth and investment expenditures and investment expenditures was also seen as a function of insurance density and economic growth. In general, the results of model estimation indicate that there is a two-way and positive relationship between insurance density, economic growth and investment expenditures.