Understanding the energy-GDP elasticity: a sectoral approach

This paper uses per capita data for 132 countries over 1960–2010 to estimate elasticities of sectoral energy use with respect to national gross domestic product (GDP). We estimate models in both levels and growth rates and use our estimates to sectorally decompose the aggregate energy-GDP elasticity. Our estimates show that residential energy use is very inelastic to GDP if primary solid biofuels are counted in energy use tallies, especially at low income levels. Residential use of electricity is more tightly linked to GDP, as is energy use by the transportation, industrial, and services sectors. Agriculture typically accounts for a small share of energy use and has a modest energy-GDP elasticity. The aggregate energy-GDP elasticity tends to be higher for countries at higher income levels, in large part because traditional use of primary solid biofuels is less important. Gasoline prices, winter temperature, population, and land area are among other factors influencing sectoral energy use

Energy and economic growth: the stylized facts

We summarize what we know about energy and economic growth in a set of stylized facts. We combine analysis of a panel data set of 99 countries from 1971 to 2010 with analysis of some longer run historical data. Our key result is that over the last 40 years there has been a stable cross-sectional relationship between per capita energy use and income per capita with an elasticity of energy use with respect to income of less than unity. This implies that energy intensity has tended to decrease in countries that have become richer but not in others. We also find that over the last two centuries there has been convergence in energy intensity towards the current distribution, per capita energy use has tended to rise and energy quality to increase, and, though evidence is limited, the cost share of energy has declined.M.d.Mar Rubio thanks Spanish Ministry of Science and Technology and the European Union for funding through FEDER research project grant ECO2010-15882

Measuring the Impacts of Nuclear Accidents on Energy Policy

This paper examines the history of nuclear energy, safety developments of reactors and nuclear energy policy from the 1950s on. I investigate the effects of nuclear accidents on energy policy with the help of a panel dataset of 31 countries from 1965-2009, using annual data about the capacity of reactors under construction, primary energy consumption, as well as three nuclear accidents scaled INES five or higher by the International Atomic Energy Agency. After determining the extent of the accident impact in the different countries, I find that neither Three Mile Island nor Lucens had a worldwide negative effect on construction starts, while Chernobyl did. The effect of Chernobyl is however shown to wear-off in certain geographical clusters, after ten to thirty years. I find that nuclear capacity enlargement shows a significant persistence, but it was also driven by primary energy consumption in the past five decades. The effects of real interest rates, inflation, or gross domestic product on reactor construction were not found significant. Thus, an accident is likely to have a negative and long lasting impact in the country where it happened, and possibly in countries affected by the direct consequences, or where governments are subject to severe public pressure.It is difficult to estimate the consequences Fukushima is going to have on worldwide power plant constructions, but areas closer to the accident might be affected more negatively and for a longer time. Growing concerns of energy supply security and greenhouse gas emissions may counteract this impact at the legislative level. (author's abstract)Series: Department of Economics Working Paper Serie

Modelling Primary Energy Consumption under Model Uncertainty

This paper examines the long-term relationship between primary energy consumption and other key macroeconomic variables, including real GDP, labour force, capital stock and technology, using a panel dataset for 64 countries over the period 1965-2009. Deploying panel error correction models, we find that there is a positive relationship running from physical capital, GDP, and population to primary energy consumption. We observe however a negative relationship between total factor productivity and primary energy usage. Significant differences arise in the magnitude of the cointegration coefficients, when we allow for differences in geopolitics and wealth levels. We also argue that inference on the basis of a single model without taking model uncertainty into account can lead to biased conclusions. Consequently, we address this problem by applying simple model averaging techniques to the estimated panel cointegration models. We find that tackling the uncertainty associated with selecting a single model with model averaging techniques leads to a more accurate representation of the link between energy consumption and the other macroeconomic variables, and to a significantly increased out-of-sample forecast performance. (authors' abstract)Series: Department of Economics Working Paper Serie

Projecting Long-Term Primary Energy Consumption

In this paper we use the long-term empirical relationship among primary energy consumption, real income, physical capital, population and technology, obtained by averaged panel error correction models, to project the long-term primary energy consumption of 56 countries up to 2100. In forecasting long-term primary energy consumption, we work with four different Shared Socioeconomic Pathway Scenarios (SSPs) developed for the Intergovernmental Panel on Climate Change (IPCC) framework, assuming different challenges to adaptation and mitigation. We find that in all scenarios, China, the United States and India will be the largest energy consumers, while highly growing countries will also significantly contribute to energy use. We observe for most scenarios a sharp increase in global energy consumption, followed by a levelling-out and a decrease towards the second half of the century. The reasons behind this pattern are not only slower population growth, but also infrastructure saturation and increased total factor productivity. This means, as countries move towards more knowledge based societies, and higher energy efficiency, their primary energy usage is likely to decrease as a result. Global primary energy consumption is expected however to increase significantly in the coming decades, thus increasing the pressure on policy makers to cope with the questions of energy security and greenhouse gas mitigation at the same time. (authors' abstract)Series: Department of Economics Working Paper Serie

How do changes in settlement periods affect wholesale market prices? Evidence from Australia's National Electricity Market

<p>This is an electricity market dataset, including demand, dispatch and regional prices, sourced from the Australian Energy Market Operator (AEMO, 2023). We assemble a five-minute frequency panel dataset of the National Electricity Market (NEM) between 1 July 2020 and 31 December 2021.</p&gt

Flying More Efficiently: Joint Impacts of Fuel Prices, Capital Costs and Fleet Size on Airline Fleet Fuel Economy

We thank the Australian Research Council for funding under Discovery Project (DP160100756) “Energy Efficiency Innovation, Diffusion and the Rebound Effect.

Technology Choices in the U.S. Electricity Industry before and after Market Restructuring

We study the drivers of the adoption of electricity generation technologies be-tween 1970 and 2014 in the lower 48 U.S. states. Since the 1990s, major electricity market restructuring took place in some parts of the United States. We explore the implications of changing from a regulated “cost-of-service”, or rate of return, system to liberalized wholesale electricity markets on technology and fuel choices. We find that wholesale market restructuring resulted in significant immediate in-vestment in various natural gas technologies due to higher expected profits, and a reduction in coal investments. In states that adopted liberalized wholesale electricity markets, higher natural gas price expectations resulted in more investment in coal and renewable technologies, while higher coal price expectations resulted in lower coal-fired baseload power investments. Natural gas price expectations, therefore, have the potential to significantly shape the power generation landscape of the future.ARC DP16010075

A legal-economic framework of electricity markets: Assessing Australia’s transition

Recent years have seen a surge in renewable generation investment in many countries, displacing traditional fossil-fuel generation at scale. The continuation of this clean energy transition is however threatened by outdated electricity market frameworks, which were not designed for large amounts of intermittent, zero-marginal cost generation. Clean energy transitions have amplified existing problems of liberalized wholesale markets and introduced new ones, including but not limited to maintaining system resilience and reliability and ensuring adequate future investment levels. Addressing these challenges will be central to a successful transition and requires a detailed understanding of the dynamic processes between electricity system objectives, legal frameworks, and market economics. We develop an integrated legal-economic model of electricity market design under transition conditions. The model proposes preferred pathways to proactively address major changes in electricity system objectives and the discrepancies between these objectives and market outcomes demonstrated on the example of Australia