This paper applies a computable general equilibrium model to investigate the impacts of a carbon tax on China's economy and carbon emissions based on China's 2010 Input–Output Table. To obtain robust simulation results, we further disaggregate the energy sectors into eight departments...

Sub-Saharan Africa lacks electricity. We estimate the cost of providing electricity to the region. To do so, we build an optimisation model that links the electricity demand to the supply and links the supply to the generation, distribution and transmission of electricity between countries. To...

The process of urbanization has been shown to be important for economic development, environmental impacts and human wellbeing, particularly in developing countries. In this paper we compare structure, data sources and scenario results of four integrated assessment models that are capable of...

We investigate the impact of oil price shocks at the industry level in the Euro area for the period 1983–2007. We use different oil price specifications and use dynamic VAR models and multivariate regression to investigate how 38 different industries respond to oil price shocks. We pay...

The European energy policy is substantially driven by the target to reduce the CO2-emissions significantly and to mitigate climate change. Nevertheless European power generation is still widely based on fossil fuels. The carbon capture and storage technology (CCS) could be part of an approach to...

With myriads of policy options being considered to alleviate energy poverty, the financial inclusion-energy poverty nexus has received little attention despite its potential. Using two rounds of living standards survey data from Ghana, this study examines the effect of financial inclusion on...

Consumer preferences for fuels and alternative cookstove technologies in Kenya are examined, focusing on household internal and external determinants driving choice behavior in a choice experiment. The potential for a transition towards cleaner and more efficient fuels and technologies is...

Heating and cooling degree days are in common use in conditional demand models, billing analysis, and large-scale energy forecasts. The implications of either choosing an ex-ante base temperature, or scanning over the base temperatures, as suggested in Fels (1986) and recommended by some...

This paper explores the relevance of asymmetry and long memory in modeling and forecasting the conditional volatility and market risk of four widely traded commodities (crude oil, natural gas, gold, and silver). A broad set of the most popular linear and nonlinear GARCH-type models is used to...

Even after Fukushima, the nuclear debate is strong in many countries, with the discussion of its economics being a significant part of it. However, most of the estimates are based on a levelized-cost methodology, which presents several shortcomings, particularly when applied to liberalized...