Showing papers in "Energy Economics in 2012"

TL;DR: This paper examines the new methodological developments in structural decomposition analysis by comparing four such SDA methods analytically and empirically through decomposing changes in China's CO2 emissions and provides guidelines on method selection.

TL;DR: In this paper, the authors examined the relationship between renewable and non-renewable energy consumption and economic growth for 80 countries within a multivariate panel framework over the period 1990-2007.

TL;DR: In this paper, multivariate GARCH models are used to model conditional correlations and to analyze the volatility spillovers between oil prices and the stock prices of clean energy companies and technology companies.

TL;DR: In this paper, the authors investigated the long-run and causal relationships between renewable and non-renewable energy consumption and economic growth by using classical and augmented production functions, and making a comparison between renewable energy sources in order to determine which type of energy consumption is more important for economic growth in G7 countries for 1980-2009 period.

TL;DR: In this paper, a structural vector autoregression model is proposed to investigate the dynamic relationship between oil prices, exchange rates and emerging market stock prices, and the model also captures stylized facts regarding movements in oil prices.

TL;DR: In this paper, the authors investigated the long-run and the causal relationship between greenhouse gas emissions, energy consumption and economic growth for Canadian industrial sectors over the period 1990-2007.

TL;DR: In this article, the determinants of renewable energy consumption in a panel of six major emerging economies, namely Brazil, China, India, Indonesia, Philippines and Turkey, were analyzed using FMOLS, DOLS and Granger causality methods.

TL;DR: This paper found that a large increase in the value of gas production caused modest increases in employment, wage and salary income, and median household income in three states in the U.S., including Colorado, Texas, and Wyoming.

TL;DR: In this paper, the authors investigate the volatility spillovers between oil and stock markets in Europe and suggest that a better understanding of those links is crucial for portfolio management in the presence of oil price risk.

TL;DR: This work uses wavelet coherence to uncover interesting dynamics of correlations between energy commodities in the time-frequency space and proposes a new, model-free way of estimating time-varying correlations.

TL;DR: In this article, the authors hypothesize that rising prices of conventional energy and/or placement of a price on carbon emissions would encourage investments in clean energy firms, but the data fail to demonstrate a significant relationship between carbon prices and the stock prices of the firms.

TL;DR: In this article, the authors examined the dynamic relationship between world oil prices and twenty four world agricultural commodity prices accounting for changes in the relative strength of US dollar in a panel setting.

TL;DR: This article used panel cointegration regression techniques to examine the relationship between energy consumption, output and trade in a sample of 7 South American countries covering the period 1980 to 2007 and found evidence of a causal relationship between trade (exports or imports) and energy consumption.

TL;DR: This article found no causal links between daily returns or volatility in the crude oil and natural gas futures markets and the positions for two large energy exchange-traded index funds, and the empirical results of this study offer no support for the Masters Hypothesis.

TL;DR: In this article, the authors summarized the results of an Energy Modeling Forum study (EMF 29) on the efficiency and distributional impacts of border carbon adjustment, and they found that it can effectively reduce leakage and ameliorate adverse impacts on energy-intensive and trade-exposed industries of unilaterally abating countries.

TL;DR: In this paper, the authors adopt time varying conditional correlation and asset pricing models to discover how the dynamics of international oil prices affect energy related stock returns in China, showing that investors in the Chinese stock market are more sensitive to the shocks in international crude oil market.

TL;DR: In this paper, the authors examined the nexus between primary energy consumption and growth in Portugal, Italy, Greece, Spain and Turkey with annual time series data, from 1965 to 2009.

TL;DR: In this article, the authors investigate the determinants of the carbon price during the two phases of the European Union Emission Trading Scheme (EU ETS), relying on daily EU allowance futures contracts.

TL;DR: In this article, the authors investigated the relationship between coal consumption and income in China using both supply-side and demand-side frameworks, and showed that there is a unidirectional causality running from coal consumption to output in both the short and long run under both the supply side and demand side analysis.

TL;DR: A Hybrid model HTW-MPNN is implemented to achieve prominent prediction of crude oil price by combining the dynamic properties of multilayer back propagation neural network and the recent Harr A trous wavelet decomposition, providing robust simulations on both in sample and out of sample basis.

TL;DR: In this article, a dynamic copula-based GARCH model is proposed to explore the dependence structure between the oil price and the US dollar exchange rate, and an asset allocation strategy is implemented to evaluate economic value and confirm the efficiency of the copula based GARCH models.

TL;DR: In this paper, the authors model the long-run relationship between per capita CO 2 and per capita income for the Spanisheconomy over the period 1857-2007.

TL;DR: This article investigated variations in carbon dioxide emissions across households with different income levels and found that rich households generate more emissions per capita than poor households via both their direct energy consumption and their higher expenditure on goods and services using energy as an intermediate input.

TL;DR: In this article, the experiences of the largest corporation in the world and those of a start-up company show how companies can profitably reduce greenhouse gas emissions in their supply chains.

TL;DR: In this paper, the authors apply time-varying copulas to investigate whether a contagion effect existed between energy and stock markets during the recent financial crisis, using the WTI oil spot price, the S&P500 index, the Shanghai stock market composite index and the Shenzhen stock market component index returns.

TL;DR: In this article, the authors used new and unique data derived from a consistent framework of national accounts to compute and evaluate energy intensity developments across 18 OECD countries and 50 sectors over the period 1970-2005.

TL;DR: In this paper, the influence of preferences about RHS-specific attributes on the homeowners' adoption decision was analyzed, and the authors found that the decision to replace a RHS in an existing home is rather driven by socio-demographic, home and spatial characteristics.

TL;DR: In this article, a US frontier residential aggregate energy demand function using panel data for 48 US states over the period 1995 to 2007 using stochastic frontier analysis (SFA) is estimated.

TL;DR: In this article, both univariate and multivariate GARCH-class models were used to forecast energy market volatility using both underlyings and crack spreads, with the alternative of univariate ones for crack spreads directly.

TL;DR: In this paper, a stochastic two-stage optimisation model is presented to evaluate interregional grid reinforcements in Great Britain (GB) under uncertainty, where a proactive transmission planner makes investment decisions in two time periods, each time followed by a market response.