No abstract

Electricity is a requirement for the economic, social and cultural progress for all developed, developing and underdeveloped countries. This paper examines the relationships between electricity consumption and gross domestic product in 30 countries, using data for the period 1995-2014. These countries are classified according to their developmental status. Widely used tests for the panel unit root, heterogeneous panel cointegration, and panel-based error correction models were employed. The empirical results indicate that electricity consumption and economic growth appear to be cointegrated. The long-run and short-run relationships are estimated using suitable estimations. The results show that the developmental levels of countries differ in their impact on the relationship between electricity consumption and GDP.

Metals are indispensable raw materials for industry and have strategic importance in economic development. The price forecasting of metals is crucial for the production sector and production policies of countries. The paper presents the application of various exponential smoothing methods to metal spot price forecasting. Aluminum, copper, lead, iron, nickel, tin, and zinc prices were analyzed by using yearly data from 1990 to 2021. The root mean square error (RMSE), mean absolute percentage error (MAPE), and mean absolute error (MAE) values of the models were obtained and their performances were compared to determine the appropriate model for each metal price. These metal prices were forecasted up to 2030 by using the best-fitted models.

No abstract

Objectives Industrial advances, as a result of globalization, causes many threats to the working life. These threats are generally associated with the level of economic development of countries. While threats from industrialization are decreasing in developed countries, developing countries are still faced with these threats. Therefore, this study aims to examine the relationship between fatal work accidents (FWA), and independent variables which are national income (NI) and employment rate (ER) in a number of selected countries. Methods In this study the relationship between FWA and independent variables which are NI and ER of 18 developed and developing countries and a region, between 2006 and 2015, was analyzed by applying panel data analysis. Results According to panel data analysis, whilst a 1% increase in the NI reduces the FWA rate by 1.1%, a 1% increase in the ER results in an increase of approximately 4% in the rate of FWA. Conclusions As a result, there was a negative relationship between the FWA and NI growth and a positive relationship with the ER