پژوهشنامه اقتصاد انرژی ایران
پیاپی 44 (پاییز 1401)

Foreign direct investment is one of the main manifestations of (globalization in the field of investment). Today, most economists and governments emphasize the vital importance of foreign investment. From their point of view, this issue is very important, especially in developing countries, for the formation of economic growth and development flows. One of the ways by which you can increase your share in the field of attracting foreign investment and targeting this type of investment is the use of marketing techniques, especially international marketing. Foreign direct investment (FDI), which is a major form of international capital transfer, has increased significantly during the last decade as one of the results of increasing integration of the global economy. On the other hand, by examining and studying domestic and foreign articles, no research has been found that can deal with the influencing factors on attracting foreign direct investment with an emphasis on green marketing in the field of energy. Also, according to the research model, this research is considered innovation.

The electricity industry is not only one of the most significant industries in the nation, but it is also one of the most significant pillars of economic development. The numerous roles that electricity plays in a country's economy make it clear that anticipating electricity consumption is crucial. In this regard, the combined ARDL and ARIMA technique is used in the current study to forecast the nation's electricity demand. With an emphasis on the impact of temperature and various rates of economic growth, this study attempts to forecast Iran's total electricity demand over 30 years (2021 to 2050) under 4 alternative scenarios. The development of the scenario is based on the rise in the nation's average temperature and various rates of economic growth. The first and second scenarios rely on the country's average temperature increase of 0. 26% per annum and economic growth rates of 2% and 8%. Furthermore, the third and fourth ones are based on the country's average temperature increase of 0. 45% a year and economic growth rates of 2 and 8%. The study's findings reveal that temperature and economic growth have a substantial impact on how much electricity is consumed, but they also indicate that as temperatures rise and the GDP expands, there will be a huge increase in demand for electricity. Additionally, additional findings show that the power demand is inelastic to price fluctuations. As a result, efforts to reduce electricity consumption should be based on policies to increase energy efficiency as well as policies to regulate temperature and greenhouse gas emissions by increasing the proportion of renewable technologies in the nation's electricity supply portfolio.

There have been many studies on economic sanctions and the effectiveness of these sanctions. In these studies, the sanction variable treats as one or two dummy variables (binary), to indicate at most four levels (no sanctions-mild sanctions-severe sanctions-comprehensive sanctions). Studying the effectiveness of economic sanctions requires recognizing the extent and severity of sanctions in various sectors, so it is not possible to examine the effectiveness of sanctions and any review of economic sanctions independent of the severity and extent of sanctions. To this end, in this article, we present the severity of sanctions imposed on the energy sector to a variable between zero to five to provide a better indicator to understand the pressure of economic sanctions imposed on the energy sector of Iran. We examine the effectiveness of sanctions by entering the sanctions severity variable on Iran's foreign trade with five major trading partners, including Germany, China, India, United Arab Emirates, and Turkey, based on the gravity equation through an interactive dummy variable method. We tried to present all the sanctions imposed on Iran's energy sector, between 1992 and 2018. The results show a significant and negative effect of the intensity of energy sector sanctions on Iran's foreign trade. China and UAE have the lowest response to sanctions on Iran’s Energy sector. Also, the highest reduction of trade with Iran due to energy sector sanctions is dedicated to India and Germany.

A major factor in the Iranian stock market is the risk-taking of the economy. The stock index falls when the economy is at higher risk, either by protests or the possibility of war. The present study was conducted to investigate the existence of fluctuations in the currency, stock, gold, and oil markets during the period 2017-2021 using the common t-test and the DCC-GARCH approach. The statistical population includes all companies listed in the Tehran Stock Exchange during the period 2017 to the end of 2021. The period was chosen due to significant fluctuations in exchange rates, coins, oil, and stocks. To achieve the purpose of the study, first, a descriptive study of coin price trends, exchange rates, and stock and oil indices in the Iranian economy was presented and then the conditional correlation between the returns of these assets was estimated using the dynamic DCC-GARCH conditional correlation method. Conditional correlation between currency and stock markets as well as coins and stock exchanges has increased significantly from a period of calm to a period of turmoil. These results are consistent with the results of the transfer test using t-test statistics. The results showed the existence of transitions between the markets and transitions between the foreign exchange and gold markets. The results also showed that the oil market, because it is the most important source of Iran's income, has a major impact on the gold, currency, and stock markets.

The main purpose of this study was to investigate the role of trade by export and import of intermediate and final goods on environmental degradation, and carbon dioxide emission, in the form of the Environmental Kuznets Curve (EKC). For this purpose, a panel data set of OECD, and non-OECD countries from 1998 to 2018 was used. According to the results, the EKC was established in all samples. In addition, while with a sample of OECD countries, trade has a beneficial or inverse effect on carbon dioxide emissions; with a sample of non-OECD countries, and that of all countries, a non-beneficial or direct effect from trade on carbon dioxide emissions prevails. Also, an important conclusion is that imports, regardless of the type of goods, had a more destructive effect on the environment than exports in all samples. Therefore, theories supporting beneficial effects of exports, e.g. improving technology, or destructive effects of imports through energy-intensive products, are better explanations of the issue than theories of destructive consumption of energy resulting from exports, or beneficial effects of imports for the environment

Today, there are two different perspectives on the long-term effects of international trade on countries' economies in terms of environmental perspective. One view claims that countries are deregulating their country to promote free trade, which reduces their environmental standards and, ultimately, the decline of the international environment. Another view believes that free trade through optimal allocation of resources allows countries to specialize in the production of goods and services in which they have a relative advantage, and hence, improve energy intensity. The purpose of this study is to investigate the effect of international trade and foreign direct investment on carbon dioxide emissions in D8 countries with the panel data approach. This study uses data from 1993 to 2018 from the World Bank. The results show that the coefficient related to the GDP variable is positive and for the GDP square grade is negative, which confirms the Kuznets environmental hypothesis in the studied countries. Foreign direct investment has no significant effect on carbon dioxide emissions. Also, the results show that exports and imports of goods and services have a positive and significant effect on carbon dioxide emissions that is consistent with conventional theories as well as research background. Energy intensity and proportion of urban population have also had a positive and significant effect on carbon dioxide emissions.