پژوهشنامه اقتصاد انرژی ایران
پیاپی 39 (تابستان 1400)

The green economy is a concept introduced in recent decades and has been defined as a framework for improving social welfare and justice by reducing environmental risks. Green growth has become the economic development strategy of many countries worldwide. In the meantime, FinTech can be effective in promoting green growth. Considering the development of FinTech in Iran, this article tries to examine the effect of the development of FinTech innovation on green growth in Iran. For this purpose, quarterly research data analysis was performed from 2013 to 2022 using the ARDL model. The results show that with a one percent expansion of FinTech services development, green growth will improve by 0.44 percent. FinTech innovation can reduce costs and improve the quality of financial services. It can also lead to green economic growth through green credit and green investment. Therefore, measures for systematization, integration, and synergy of Fintech services development to expand green investment and improve the environment can help improve green growth

In the new century, consumer concerns about environmental accountability, which are also aligned with environmental laws, have pushed a growing number of companies to design and create environmentally friendly programs. Accordingly, this study examines how to implement a green marketing mix to sell a product and stay in the market. Based on this, a sample of 90 investment marketing specialists in the field of green marketing in the field of energy was randomly selected and examined according to the volume of each category. The conceptual model of the research was designed based on the combined theoretical studies of green marketing and consumer intention and based on it, questionnaires were designed and the desired data were collected. The results show that in order to research the objectives of the research, the following items should be considered in such a way that they can compete with similar types: the use of recyclable materials to produce the product to reduce environmental damage, the introduction and presentation of environmentally friendly energy in exhibitions, conferences and seminars, the use of update transportation system to distribute products in the market to do less harm to the environment, appropriate pricing of green products.

In analyzing the efficiency of electricity distribution companies, according to the economies of scale hypothesis, due to the existence of natural monopoly properties, larger firms are expected to be technically more efficient (ceteris paribus). To investigate this issue, this study assessed the technical efficiency, economies of scale, and economies of scope of Iranian electricity distribution companies during 2011-2017 and examined their relationship with company size. For this purpose, the stochastic frontier analysis technique and the input distance function approach were used. The results show that technical efficiency first decreases and then increases with increasing company size. The results also show that economies of scale are present in most companies, although the use of economies of scale decreases as company size increases. Finally, economies of scope were observed in all the companies studied, and their magnitude decreases as company size increases. Therefore, it can be said that the hypothesis of economies of scale implying higher technical efficiency of larger companies, is not confirmed, although the necessary condition for the establishment of a natural monopoly is present in Iranian electricity distribution companies

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

The objective of this study is to investigate policy shocks to the ecological footprints of 33 oil-exporting countries for the period 1961-2017. For this purpose, we apply the panel stationarity tests with both sharp and smooth breaks developed by Bahmani-Oskooee et al. (2014) and Carrion-i-Silvestre et al. (2005) to test the persistence of shocks on environmental degradation. The overall results suggest that shocks to the ecological footprint as an indicator of environmental degradation in oil-exporting countries have temporary effects. In other words, the ecological footprint under the two assumptions of long-term homogeneous variance and long-term heterogeneous variance has a mean-reverting behavior. The results of the univariate test also reveal that the ecological footprint is stationary at a 10% significance level for all oil-exporting countries except Canada, Congo, Egypt, Indonesia, and Iran. This implies that policymakers should design effective long-run policies to reduce the ecological footprint in these countries.

The growth and survival of a company are based on making appropriate and principled investment decisions. This is while a company always continues to operate in an unpredictable environment and under the influence of various shocks. In this regard, this issue has created a two-way relationship between investment and uncertainty. Therefore, this study examines the relationship between investment and uncertainty in the Iranian oil industry during the period 2010 to 2019 for 32 listed companies active in the oil industry. In this regard, using the vector auto-regression approach with generalized auto-regression conditional variance heterogeneity moment, first, the structural shocks of the oil market are extracted, and then using the generalized moments approach of the Tobin q investment model is estimated. Findings show that the shock caused by global demand (εpw), and the shock caused by the global stock market (εsp) have a negative and significant effect on the ratio of gross investment to corporate capital stock. The ratio of gross investment to the company's capital stock has a negative effect on its amount with a one-year delay, which is also statistically significant. Oil supply shock (εopw) and oil price shock (εrp) have a positive and significant effect on the ratio of gross investment to the company's capital stock. The ratio of market value to the replacement value of company assets has a positive and significant effect on the ratio of gross investment to capital stock. In this regard, due to the effectiveness of oil companies’ investments in global variables such as global oil price fluctuations and supply and demand shocks, investors' stock insurance against sudden fluctuations and shocks is recommended.