درخت حوزه‌های تخصصی

Expanding use of renewable energies (RE) around the world is a critical mission to reach to global environmental policies. Largest share of global energy mix relates to deployable and carbon-intensive fossil fuels. So, it is necessary to create proper incentives for investors to invest in RE in order to move toward low carbon economy. In this regard, one of the implemented policies is imposing tax on using deployable energies which includes tax on both energy consumption and motor vehicle transportation. This paper investigates impact of environmental tax policy on investors’ behavior for 13 leading selected developed and developing countries during the period 2004-2016. Based on economic theory, investment, particularly in capital-intensive energy industries would have a long gestation period. To capture this feature and evaluate dynamic relations of investments in RE, a partial-adjustment dynamic model is applied and estimated using Generalized Method of Moments (GMM) method. The results show that imposing tax on fossil fuel energy consumption and transportation systems, in particular that use fossil fuels, has a significant negative and positive impact on investing in RE, respectively. Also, empirical results demonstrate that there is a significant negative relation between interest rate (IR) and Investments in Renewable Energies (IRE).

Context/purpose: Factors affecting the technology, and innovation levels of crude oil treatment’s surface facilities, are numerous and extensive. Localization of surface facility as a high-tech Technology, which include oil and gas production and processing units, has always been one of the main issues, and technology management and innovation are essential priorities for these facilities. The purpose of this practical, heuristic, and quantitative research is to develop the studies and identify the current state of technology for crude oil treatment’s surface facility technology level in Iran and compare it with its global one. Methodology: Considering the wide range of factors that are used in evaluating technological and innovative capabilities with uncertainty. This research is applied in terms of purpose. Using a survey method and collecting qualitative data through a questionnaire, has led to descriptive results. This study by referring to experts and specialists, these factors according to their importance and priority in different classes of classification and then with statistical analysis, the relationship and correlation of these factors have been examined. For this purpose, 44 experts in oil and gas industry have been used for replying the qualitative questionnaire, then the fuzzy system model has been used to investigate the uncertainty in their answers and Quantitative results. Findings: The results of this study show that the most influential factors in surface facilities such as technological and innovative factors and managerial potential and human resources, etc. are not at an acceptable level compared to developed countries. Conclusion: The analysis of uncertainty between opinions of experts and factors investigated also confirms that attention to innovation and technology capacity and Technology capability and human resources in the National Iranian Oil Company should be increased.