چكيده به لاتين
Abstract
Energy is one of the important factors of production, which, along with other factors of production, plays a decisive role in the economies of the countries. The access of developing and developed countries to a variety of new energy sources is essential for their economic development. The importance of energy in the process of production and its scarcity, due to the vast expanses of energy in some developing and developed countries, and the impact of energy consumption on air pollution and climate change, requires more attention of economic activists for more efficient use of this factor.
The purpose of this study is to investigate the effects of renewable energy development on the demand and consumption of refined products in developed and developing countries. Therefore, several developed and developing countries have been selected for the study and data on consumption of refined products and other variables such as population, GDP and installed renewable energy capacity during the period from 1997 to 2014 have been extracted. The estimation method is the seemingly unrelated regression (SUR) and panel data, that in this direction, F-Limer and Hausman tests were performed and finally, the random effects model was selected as the appropriate model.
The results of the research show the positive impact of population and GDP on the consumption of refined products, as well as the negative impact of the installed capacity of renewable energy and the global price of crude oil on the consumption of the above products in both developing and developed countries. In addition, the relationship between the production of electricity from fossil fuels with installed capacity of renewable energy in developed countries is negative and significant, but in developing countries it is positive and to some extent meaningless. Because the capacity of renewable energy production in developing countries is low and their reliance on refinery products in electricity generation.
Keywords: Renewable Energy, Refinement, Electricity Industry, seemingly unrelated regression, Panel Data Model
