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The causal relationship between renewable electricity generation and GDP growth: A study of energy sources
Ohler, Adrienne; Fetters, Ian - In: Energy Economics 43 (2014) C, pp. 125-139
(biomass, geothermal, hydroelectric, solar, waste, and wind) across 20 OECD countries over 1990 to 2008. The results from a … real GDP, (b) biomass, hydroelectricity, waste, and wind energy exhibit a positive long-run relationship with GDP, (c …) hydroelectricity and waste generation exhibit a short-run positive bidirectional relationship with GDP growth, and (d) biomass …
Persistent link: https://www.econbiz.de/10011100110
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Willingness to supply biomass for bioenergy production: A random parameter truncated analysis
Altman, Ira; Bergtold, Jason; Sanders, Dwight; Johnson, Tom - In: Energy Economics 47 (2015) C, pp. 1-10
This paper presents research results based on data from two biomass producer surveys collected from mid Missouri and … under three price scenarios. Marginal effects suggest that producers will supply an additional 1.6 to 2.4% of their biomass … production for each one dollar increase in price and that supply for three types of biomass (stover, straw and hay) is elastic …
Persistent link: https://www.econbiz.de/10011189293
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Household energy mix in Uganda
Lee, Lisa Yu-Ting - In: Energy Economics 39 (2013) C, pp. 252-261
This paper presents evidence that household energy use in Uganda conforms to the energy ladder theory. As household income increases, solid and transitional fuel use evolves in an inverse U manner, while electricity consumption shows a direct relationship with income. Public infrastructure...
Persistent link: https://www.econbiz.de/10010868714
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Renewable and non-renewable energy consumption and economic growth relationship revisited: Evidence from G7 countries
Tugcu, Can Tansel; Ozturk, Ilhan; Aslan, Alper - In: Energy Economics 34 (2012) 6, pp. 1942-1950
The aim of this study is to investigate 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 and non-renewable energy sources in order to...
Persistent link: https://www.econbiz.de/10010868698
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Renewable and non-renewable energy consumption-growth nexus: Evidence from a panel error correction model
Apergis, Nicholas; Payne, James E. - In: Energy Economics 34 (2012) 3, pp. 733-738
Unlike previous renewable energy consumption-growth studies, this study examines 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. The Pedroni (1999, 2004) heterogeneous...
Persistent link: https://www.econbiz.de/10010576113
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Mitigating climate change: Decomposing the relative roles of energy conservation, technological change, and structural shift
Mishra, Gouri Shankar; Zakerinia, Saleh; Yeh, Sonia; … - In: Energy Economics 44 (2014) C, pp. 448-455
We decompose the contribution of five drivers of energy use and CO2 emissions reductions in achieving climate change goals over 2005–2100 for various climate policy scenarios. This study contributes to the decomposition literature in three ways. First, it disaggregates drivers of energy demand...
Persistent link: https://www.econbiz.de/10011100121
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Exploring the impacts of a carbon tax on the Chinese economy using a CGE model with a detailed disaggregation of energy sectors
Guo, Zhengquan; Zhang, Xingping; Zheng, Yuhua; Rao, Rao - In: Energy Economics 45 (2014) C, pp. 455-462
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...
Persistent link: https://www.econbiz.de/10010939424
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Will history repeat itself? Economic convergence and convergence in energy use patterns
Jakob, Michael; Haller, Markus; Marschinski, Robert - In: Energy Economics 34 (2012) 1, pp. 95-104
In this paper, a difference-in-differences estimator on panel data for 30 developing and 21 industrialized countries is employed over the period 1971–2005 to examine how patterns of energy use (characterized by the consumption of primary energy carriers, sectoral energy use and carbon...
Persistent link: https://www.econbiz.de/10010868742
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The impact of the household decision environment on fuel choice behavior
van der Kroon, Bianca; Brouwer, Roy; Beukering, Pieter … - In: Energy Economics 44 (2014) C, pp. 236-247
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...
Persistent link: https://www.econbiz.de/10011100114
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Modeling international trends in energy efficiency
Stern, David I. - In: Energy Economics 34 (2012) 6, pp. 2200-2208
I use a stochastic production frontier to model energy efficiency trends in 85 countries over a 37-year period. Differences in energy efficiency across countries are modeled as a stochastic function of explanatory variables and I estimate the model using the cross-section of time-averaged data,...
Persistent link: https://www.econbiz.de/10011039641