The increasing uncertainty surrounding the electricity generating sector has implications on the forecasting accuracy and makes sensitivity analysis an essential tool for electricity power planning. The fuel price volatility and the emissions trading schemes represent major sources of...

The increasing uncertainty surrounding the electricity generating sector has implications on the forecasting accuracy and makes sensitivity analysis an essential tool for electricity power planning. The fuel price volatility and the emissions trading schemes represent major sources of...

In the last few decades, electricity markets have undergone extensive reforms. A process of liberalizing electricity markets has been implemented by several countries, reducing the incumbents' market power. Thus, generation and retail are open to competition, while transmission and distribution...

We use an extensive dataset on occupational wages to measure the manufacturing skill premium and evaluate the importance of the main drivers in literature plus the effects of natural resources and institutions. Results, regarding a panel of 21 countries between 1987 and 2003, suggest the...

An endogenous growth model with renewable and nonrenewable Intermediate Goods (IGs) is developed to study the exogenous environmental quality effects on technological-knowledge bias and on Final-Good (FG) sector bias. Solving the transitional dynamics numerically and removing the scale effects,...

There is no consensus on the method to set transmission tariffs for natural gas. The entry–exit system is widely used in European markets because it is cost reflective, it allows the network users to separately book capacity for entry and exit points, beyond its pro-competitiveness...

Portfolio Theory can result in a valid and contrasted methodology for evaluating real assets and electricity production portfolios within the construct of energy planning. It results in a more complete alternative to the least-cost perspective. In the proposed model the production costs of all...

We analyze how an increasing share of Renewable Energy Sources on Electricity generation (RES-E) affects Gross Domestic Product (GDP) and Carbon Dioxide (CO2) emissions using a 3 variable Structural Vector Autoregressive (SVAR) methodology. We used a sample of four countries with different...