• مطالعات اقتصادی مرتبط با حاملهای انرژی (فسیلی، تجدیدپذیر و برق)
parisa Mohajeri; Ali Faridzad; Fatemeh Amirjahani
Abstract
Oil and natural gas production is not uniformly and homogeneously distributed across all provinces of Iran, whereas a major part of oil and gas incomes is consumed in provinces that do not have any significant role in oil and gas production. Therefore, any disruption in the production of oil and gas ...
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Oil and natural gas production is not uniformly and homogeneously distributed across all provinces of Iran, whereas a major part of oil and gas incomes is consumed in provinces that do not have any significant role in oil and gas production. Therefore, any disruption in the production of oil and gas might expose the GDP growth of all provinces at risk. In this paper, the multiregional input-output table is calculated for the year 2015. Then, the hypothetical extraction method introduced by Dietzenbacher and Lahr (2013) is employed for estimating the effect of partial and complete extraction of oil and gas production in Khuzestan and other oil-oriented regions on the value-added of 71 economic activities in each of the regions. The findings reveal that firstly, following the extraction of oil and gas production in Khuzestan, the value added of this region reduces about %32 , while the extraction of the corresponding sector in other oil-related regions will mitigate this region’s value added by %14. Secondly, the relative reduction in the value added of economic sectors and each sector’s contribution of value-added reduction in each region depend on the economic structure of the interested region. The highest share of the total value-added reduction in each region belongs to the service sector in Tehran and agriculture in other non-oil regions. It seems that diversifying energy resources as well as supplying regions, enhancing fuel consumption efficiency, and renovating the transportation system are the most important policies to have more resilience.
Narges Khaki; morteza khorsandi; Teymour Mohammadi; Ali Faridzad; Zahra Azizi
Abstract
Reducing greenhouse gas emissions is one of the most important goals of the world’s energy and environmental policies. Even though fossil fuels are one of the most important factors in creating pollution, their role in the structure of production and economic growth cannot be ignored. Nowadays, ...
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Reducing greenhouse gas emissions is one of the most important goals of the world’s energy and environmental policies. Even though fossil fuels are one of the most important factors in creating pollution, their role in the structure of production and economic growth cannot be ignored. Nowadays, to measure economic growth, economists do not consider only the amount of production of goods and services, but also consider the structure of production of goods and services in terms of technical knowledge (technology level) used in them. Accordingly, in recent decades, the index of economic complexity has been proposed, and by calculating it the possibility of knowing the development of countries’ levels is provided. The purpose of this study is to investigate the effect of the economic complexity index on greenhouse gas emissions in some oil exporting countries in the period from 1995 to 2019 using the panel smooth transition regression (PSTR) model. The results of the linearity test confirm the existence of a nonlinear relationship between the considered variables. Also, considering a transfer function with a threshold parameter that expresses a two-regime model is sufficient to specify the nonlinear relationship between the model variables. The slope parameter (transition speed) equals 3/1964. The test results indicate that in both regimes (first and second), the economic complexity index has a negative effect on the amount of greenhouse gas emissions
Masoud Shirazi; Abdolrasoul Ghasemi; Teymour Mohamadi; Ali Faridzad; Atefeh Taklif
Abstract
This research conducts a quantitative comparative analysis of the dynamic international crude oil trade network of Iran by using the network connectedness measures of Diebold and Yilmaz (2015) and also the asymmetric short-term and long-term impact of the increasing and decreasing key driving factors ...
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This research conducts a quantitative comparative analysis of the dynamic international crude oil trade network of Iran by using the network connectedness measures of Diebold and Yilmaz (2015) and also the asymmetric short-term and long-term impact of the increasing and decreasing key driving factors and obstacles in the crude oil trade development through the gravityrelation and by using the nonlinear panel auto-regressive distributed lag (ARDL) model during 1980–2017. Results indicated the dynamic spillover flow of the crude oil trade of Iran during the investigated period of time. Moreover, the crude oil trade flow of Iran is a net shock transmitter to Middle East and a net shock receiver from the crude oil trade flow in countries of America, Eastern Europe- Eurasia, Africa, Western Europe, and Asia Pacific, respectively. The focus on the divided regional trade scheme and adopting the biased foreign trade policies by Iran may not lead to the vulnerability reduction of its economy from crude oil trade flow volatilities. Findings also reveal the asymmetric behavior of the crude oil bilateral trade flow in response to the increasing and decreasing of gross domestic product (GDP) per capita variables in both crude oil exporting and importing countries and international crude oil transportation costs in the short-term and long-term period that it can be used in identifying the effective factors on the volatility transmission to adjust the crude oil trade flow. Therefore, concerning the high degree of the integration in the international crude oil trade network of Iran, it seems that it is necessary to prioritize cooperative over competitive behavior in the crude oil trade of Iran and respond appropriately to market shocks and volatilities during the time (risk management) in the economic plan of the country.
Ali Faridzad; Sahar Norouzi; Ali Asghar Banoe
Abstract
Improving energy efficiency as one of the most important tools for managing energy demand leads to a phenomenon called Rebound Effect, which causes the energy savings achieved by improving energy efficiency not equal to the expected level. In this study, with employing Input-Output approach and the structural ...
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Improving energy efficiency as one of the most important tools for managing energy demand leads to a phenomenon called Rebound Effect, which causes the energy savings achieved by improving energy efficiency not equal to the expected level. In this study, with employing Input-Output approach and the structural decomposition analysis, we quantify the changes of electricity, natural gas and oil products consumption according to the final demand variations and technological progress in terms of changes in energy efficiency and intermediate demand during the period of 2001-2011. After examination of the economic sectors in which they experience improving energy efficiency, the rebound effect of the energy consumption for each energy carriers has been measured. The results of this study show that electricity, natural gas and oil products from 24 economic sectors in 11, 4, and 20 economic sectors have experienced improvements in energy efficiency due to technological advances. "Construction of basic metals", "Electricity" and "Manufacturing of non-metallic mineral products" have the highest reduction in energy consumption associated with these carriers respectively, and the "postal and support services" 62.83%, "Construction of coke and products from oil refining and nuclear fuel" with 147.72%, "Construction of chemical and chemical products" with 86.33% have the highest efficiency in electricity consumption, Natural gas and oil products. Considering inter-sectional and intra-intermediate interchanges, the rebound effects is increased in all sectors.
Afsaneh Rahimi; Habib Morovat; Ali Faridzad
Abstract
The average of electricity consumption of Iranian households is higher than the global average. This could be due to price factors (such as low cost of electricity in Iran) and non-price factors (such as socio - demographic and psychological factors). In this study, the role of non-price factors such ...
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The average of electricity consumption of Iranian households is higher than the global average. This could be due to price factors (such as low cost of electricity in Iran) and non-price factors (such as socio - demographic and psychological factors). In this study, the role of non-price factors such as socio - demographic and psychological factors in the electricity consumption of urban households evaluated in Tehran. In this regard, using theoretical principles of behavioral economics and theory of planned behavior (TPB( analysis will discuss this topic. The purpose of the mentioned factors is providing non-price policies for more efficient type of household electricity consumption in Iran. The data on household consumption behavior through questionnaires and based on field data collected from 200 households in Tehran. Then, using linear regression is estimated based on econometrics techniques in which the dependent variable is electricity consumption (a 45-day period in Winter 2017) and the independent variables included socio-demographic variables: age, gender, size of family, income and the theory of planned behavior variables include attitude, subjective norms, and perceived behavioral control have been. The results showed that income and the number of household members is a significant and positive effect on electricity consumption, but the gender has no significant effect. Psychological variables perceived behavioral control has a significant effect on electricity consumption. Finally, with using behavioral biases that may cause attitudes and beliefs do not lead to action, the results of the study were analyzed.
Ali Faridzad
Abstract
The measurement and assessment of energy intensity of economic sectors, especially in developing countries, compose a foremost objective of contemporary energy policy. The Iranian industry sector has more than 25 percent of gross domestic products which has important role in determining effective factors ...
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The measurement and assessment of energy intensity of economic sectors, especially in developing countries, compose a foremost objective of contemporary energy policy. The Iranian industry sector has more than 25 percent of gross domestic products which has important role in determining effective factors on enrgy intensity. In this study the Logarithmic Mean Divisia Index (LMDI) was applied for energy intensity decomposition analysis with additive and multiplicative method introduction for Period of 2004-2011. The results show that energy intensity in the mentioned period had increased in industry sector. Additionally, intensity effect and activity effect have the most shares in energy intensity docomposition respectively. Also, the results indicate that chain-linked decomposition versus period-wise one has more actuall and reliable results applying for policymakers.
