فصلنامه پژوهش های سیاستگذاری و برنامه ریزی انرژی
سال هشتم شماره 3 (پاییز 1401)

Nowadays, many companies make a big effort to compete in the global energy market. Although there are many performance improvement strategies that can be implemented by an organization, it is not clear which strategies or combinations are most useful in improving performance. Strategy management includes activities that enable the long-term development of the organization and help managers make decisions about future actions. On the other hand, considering the global pandemic of coronavirus from the beginning of 2020 until now, adopting appropriate approaches to critical situations for macro-policy-making in energy markets is of particular importance. The present article, with the aim of selecting energy market strategies in critical situations and considering the study of gas exports to Turkey, examines the strengths, weaknesses, opportunities and threats of this market. In this regard, first, the current situation in the National Iranian Gas Company as the second largest holder of gas reserves in the world and the strengths, weaknesses, opportunities and threats of this industry have been extracted from the perspective of the oil and gas industry experts. Then the coefficient of importance and rank of each factor in the evaluation matrix is determined and analyzed, and finally, the best strategies for dealing with critical situations are proposed. According to the obtained results, reinforcement strategies had the highest priority among other strategies.

Between 2005 and 2018, 41 countries had at least one riot directly associated with popular demand for fuel. We make use of a new international dataset on fuel riots to explore the effects of fuel prices and price regimes on fuel riots. In line with prior expectations, we find that large domestic fuel price shocks - often linked to international price shocks - are a key driver of riots. In addition, we report a novel

fuel riots are closely associated with domestic price regimes. Countries that maintain fixed price regimes - notably net energy exporters - tend to have large fuel subsidies. When such subsidies become  unsustainable, domestic price adjustments are large, often leading to riots.

Over the last few decades, the building sector has played a significant role in the total final energy use of our country and the world. Thus, actions to decrease buildings' energy consumption are vital. The adoption of building energy-efficient technologies without affecting the occupants' welfare is the main goal. Although several building energy-efficient technologies are available and bring many benefits, some behavioural variables hinder their adoption. We examined publications from 2010 to 2022 to investigate these behavioural variables. Science Direct was the database chosen for this research. This review gathered 15 behavioural variables that were grouped into three categories: (1) realistic occupancy data, (2) curtailment behaviours, and (3) purchasing activities and energy efficiency choices. Furthermore, we clarified the dependence relationship of these behavioural variables and the types of buildings and geographical regions with the different tables. Besides clarifying how the building energy efficiency behaviour can be quantified, the results avoid unnecessary and redundant data collection.

Do Iranian industrial manufacturing improve fuel consumption technology, and what is the intensity of this improvement? These technology adoptions are crucial due to the long-term effect on energy consumption.
To answer this question and by studying the changes in the period 2012-2017, this paper tries to figure out what will change the firms' decision on energy usage technology. The results show new firms have to decide on their technology due to the reduction in total energy prices.
The findings of this study show that whether the changes in technology use are limited to new entrants, or we consider it a reduction over time, technological changes due to price in the data of industrial manufacturing have occurred. Also, according to the theoretical foundations, based on the findings of this study, with increasing the firm's age, the tendency for structural changes in the industry will decrease.

Proper prediction of electricity consumption is one of the most important parameters in planning for a system. One of the most common tools for forecasting is regression-based methods. In this research, using the multiple linear regression model, the prediction of electricity consumption in Mashhad fire stations has been discussed. The statistical population of the current research is the stations of the Mashhad Fire Department, of which 45 stations were selected as a statistical sample.


Pearson correlation and regression statistical methods were used to analyze the research data. The results of the research show that there is a strong and direct correlation between the three independent variables of the number of firemen stationed at the station, the area of ​​the station and the number of fire trucks with the dependent variable of the station's annual electricity consumption. Finally, by using the multiple regression model, a model was obtained to calculate the annual electricity consumption based on the mentioned independent variables.


In order to confirm the obtained model, it was shown by using ridge regression analysis that despite the presence of strong collinearity between independent variables, it did not affect the estimation of coefficients of the multiple regression model and the coefficients of the ridge regression model were very close and equal to the normal multiple regression coefficients.


The results of this research can be used to predict the amount of the annual budget of electricity consumed by fire stations and to optimize and modify the consumption pattern.

The late nineteenth and early twentieth centuries, especially in developing countries, has had various outcomes on the economic, social, physical, and ecological backgrounds. One of the most important consequences is the increase in consumption and demand for energy resources. Given that cities devour most of the world's energy, the optimal use of energy resources as one of the most prominent strategies for economic, social, cultural and environmental development of cities can be used by urban planners. One of the most important effective levers for the development of urban planning and optimization of urban energy consumption is to pay attention to urban land use planning. In this study, four neighborhoods of Sanandaj  have been analysedand evaluated through land use planning based on energy efficiency approach .The main softwares used are Arc GIS, Ecotect, Super decision research. The results show that neighborhoods at the center of Sanandaj city, which ranked the first and second stage in energy efficiency. The most important principles for increasing energy efficiency of Sanandaj city are: creating new nuclei in the city's population centers and turning it into a multi-core city, adopting urban regeneration policies in the city's central neighborhoods and using appropriate strategies to improve "functional", "transport and communication" factors and "Physical and Infrastructure" in the suburbs.

The target revenue model states that the country's investment needs and oil price play the most important role in determining that country's oil production, and the purpose of this study is to examine mentioned model for OPEC member countries and a number of non-OPEC countries. The way to answer that question is to use the ARDL method in the period 1971 to 2019. The results show that in the long-run Iraq follows the weak model, Saudi Arabia and Libya follow the normal model and Mexico follows the Backward Supply Curve (BSC), and in the short-term, Saudi Arabia follows the normal model and Mexico and Malaysia follow the BSC model. Therefore, it cannot be concluded that all OPEC members follow this model, nor can the existence of this model be ruled out. As a result, it can be said that the target revenue model may not be a good model for forecasting and estimating, but it gives a very good view to policymakers in the oil-related industries.