Asymmetric and extreme influence of energy price changes on renewable energy stock performance

2019 ◽  
Vol 241 ◽  
pp. 118338 ◽  
Author(s):  
Tongshui Xia ◽  
Qiang Ji ◽  
Dayong Zhang ◽  
Jinhong Han
2017 ◽  
Vol 11 (4) ◽  
pp. 592-600
Author(s):  
Hiroshi Nakamura ◽  
◽  
Masaru Nakano

For achieving a sustainable society, clean energy vehicles (CEVs), such as electric and fuel cell vehicles, can play a significant role in reducing CO2pollution in the transport sector. Each type of CEV has certain characteristics: vehicle running range, Life Cycle CO2(LCCO2), cost, fuel efficiency, etc. Therefore, in order to accomplish CO2reduction targets in the UK, this paper calculates optimized CEV portfolios by considering each CEV’s characteristics. The objective is to minimize a CEV system that includes running, vehicle manufacturing, and infrastructure costs. Constraints are defined by the vehicle sales number, vehicle price, energy price, etc. A CEV optimized portfolio is calculated for each year to provide ideas for determining future CEV policy for government and industries. Few conventional studies show optimized CEV portfolios by considering mixed rates of renewable energy sources (RES). However, they did employ one case of RES introduction rate, but this study employs many RES introduction scenarios. Results suggest that introducing a high RES date contributes to reducing EV’s LCCO2dramatically and reaching the UK target without great reduction of GVs and DVs. In the scenario of high RES introduction rate, differences are widening among EVs, GVs, and DVs in their amounts of CO2pollution.


Author(s):  
Miguel Rodríguez Méndez ◽  
Xavier Labandeira ◽  
J. Maria Labeaga Azcona

Energy ◽  
2021 ◽  
pp. 122117
Author(s):  
Jian XUE ◽  
Jing DING ◽  
Laijun ZHAO ◽  
Di ZHU ◽  
Lei LI

Energy ◽  
2016 ◽  
Vol 114 ◽  
pp. 188-200 ◽  
Author(s):  
Nuno Carvalho Figueiredo ◽  
Patrícia Pereira da Silva ◽  
Derek Bunn

2010 ◽  
Vol 42 (2) ◽  
pp. 289-301 ◽  
Author(s):  
David K. Lambert ◽  
Jian Gong

Energy prices increased significantly following the first energy price shock of 1973. Agricultural producers found few short run substitution possibilities as relative factor prices changed. Inelastic demands resulted in total expenditures on energy inputs that have closely followed energy price changes over time. A dynamic cost function model is estimated to derive short and long run adjustments within U.S. agriculture between 1948 and 2002 to changes in relative input prices. The objective is to measure the degree of farm responsiveness to energy price changes and if this responsiveness has changed over time. Findings support inelastic demands for all farm inputs. Statistical results support moderate increases in responses to energy and other input price changes in the 1980s. However, demands for all inputs remain inelastic in both the short and long run. Estimation of share equations associated with a dynamic cost function indicates that factor adjustment to input price changes are essentially complete within 1 year.


2019 ◽  
Vol 40 (1) ◽  
Author(s):  
Anna Alberini ◽  
Olha Khymych ◽  
Milan �casn�
Keyword(s):  

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