Environmental pollution

Technical and environmental challenges resulted from an off-design running condition of processes on a platform is an important issue. The weakness of strategies to stop or decrease the amount of the greenhouse gas emission production rate in the Persian Gulf is another important matter of concern which is intensively increasing. Recently, modern methods of energy generation from available renewable potentials near offshore platforms are suggested in the literature. Integration of renewable energy converters with offshore oil and gas platforms can solve both problems with machinery and environment to an acceptable extent. In this study, the economics of an offshore complex installed in the Persian Gulf is subjected to two different power generation systems. The first case defines the present condition in which the total power demand of the complex is supplied by burning the associated extracted natural gas on board the platform in its thermal power plant. The second case considers a wind farm located near Bardekhun in Bushehr province to be connected to the complex power network and shares its renewable source generated power with the platform. The economics and relative emission production of both cases are compared. Wind speed average and wind turbine power generation are considered having uncertainties. Monte Carlo Simulation (MCS) method is used to consider those uncertainties in outcomes. The second case is found obviously more beneficial however there are some conservative assumptions included due to a shortage of data and limitations which makes it more attractive.

Objective: Recent literature emphasizing the importance of income distribution for pollution. The GINI index is the most common indicator for measuring income inequality in previous studies. The new literature has focused on relative redistribution, which is quantified by the GINI coefficientis defined as the difference between the GINI based on market income and GINI based on disposable income. Thus, this study relies on the redistributive effect of taxes and transfers and its impact on carbon dioxide emissions.Methods: The study is conducted using aggregated data from oil-exporting countries including Canada, the United States, the UK, Mexico, the Netherlands, Russia, and China between 2010 and 2020 by using a simultaneous equations system consisting of two equations so that economic growth and pollution emission are as endogenous variables. Elative redistribution, good governance, oil income, trade openness, and CO2 emission are the exogenous variables. Results: Based on model estimates, income inequality, good governance, and oil income have a positive and significant impact on economic growth over the years studied, while inequalities in human development and population growth rates have a negative impact. Economic growth and trade openness also have a negative and significant impact on the spread of pollutionConclusion: Taxes and transfer payments, as redistribution tools can stimulate economic growth. Relative redistribution as a more equitable way can lead to increased economic growth and economic growth reduces carbon dioxide emissions. Therefore, providing an appropriate standard of income inequality can help to better understand and formulate effective policies for income equality.