Electricity pricing, Sustainable development, Energy shortages, Prices, Tariff, and Social policy
Abstract
In a period of energy crisis, deriving the cost of electricity is a significant problem. It appears as a significant contemporary challenge, and policies to control and limit it are the main priority of the European community on its way to a green economy. Depending on the tariff/price of electricity, which directly depends on its cost price, it is determined how much the population could afford to pay for their consumed electricity. Over 96 million Europeans are at risk of poverty and social exclusion. A population that would not be able to heat their homes in winter is about 57 million. Bulgaria is the country with the highest share of the poor and at risk of poverty, including energy-dependent households, which is also confirmed by the values of the Energy Poverty Index, according to which our country has the worst indicators among the member states of EU. The current development draws attention to the specific features of waste-based electricity calculation. Method of pricing and formation of a sustainable model for formation of tariffs. The synergistic effect from waste processing to energy production is derived. Taxes paid and additional revenues from waste processing could positively affect the price of energy obtained from waste, i.e. to reduce cost and offset costs. This phenomenon can be used as a guideline for the development and improvement of social policy in the field of social tolerance and social support of the population in Bulgaria. [ABSTRACT FROM AUTHOR]
Time series analysis, Stock exchanges, Inventories, Electric power consumption, and Electricity
Abstract
This article analyzes the time series of prices and quantities on the Bulgarian electricity exchange. The focus is on the period between January 2016 and June with the assumption that in this initial period for its operation, the stock exchange trade is not sufficiently liquid. Statistical tests and seasonal decomposition of quantities and prices are made. This allows the determination of their statistical properties. The analysis shows that both time series are characterized by mean reversion and have a weekly seasonality. [ABSTRACT FROM AUTHOR]