2008
DOI: 10.3763/cpol.2007.0361
|View full text |Cite
|
Sign up to set email alerts
|

Coordination of carbon reduction and renewable energy support policies

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

2
26
0

Year Published

2012
2012
2018
2018

Publication Types

Select...
5
3
1

Relationship

0
9

Authors

Journals

citations
Cited by 53 publications
(28 citation statements)
references
References 13 publications
2
26
0
Order By: Relevance
“…Likewise, the long-term emissions reduction policy cannot meet the UK's renewable targets without concurrent renewable policies. Linares et al's [19] analysis of the EU example also supported the notation that both ETS and RES policies are required to meet the emissions reduction and renewable energy targets.…”
Section: Introductionmentioning
confidence: 87%
“…Likewise, the long-term emissions reduction policy cannot meet the UK's renewable targets without concurrent renewable policies. Linares et al's [19] analysis of the EU example also supported the notation that both ETS and RES policies are required to meet the emissions reduction and renewable energy targets.…”
Section: Introductionmentioning
confidence: 87%
“…Based on this, the effectiveness of technologies that can be used for emission reduction in smart grid are more clearly. The renewable energy sources (RES) in supply side management (SSM) can benefit the reduction [11]- [13]. The quantity-based measures of RES support and energy mix strategy for carbon mitigation was studied in [11], [12].…”
Section: Introductionmentioning
confidence: 99%
“…The quantity-based measures of RES support and energy mix strategy for carbon mitigation was studied in [11], [12]. And the policy about RES and carbon reduction was presented in [13]. The importance of demand side management (DSM) was also demonstrated in several aspects [14]- [16].…”
Section: Introductionmentioning
confidence: 99%
“…A positive contrast would be evidence for a 10 In a normal distribution, the location would be the mean, for example. 11 The use of the Cauchy distribution reflects the fact that a large in magnitude effect of around 5 or greater on the logit scale is highly unlikely in logistic regressions in which all non-binary data has been transformed to have mean zero and standard deviation 0.5, as we have done. In addition, the Cauchy distribution will give answers even under complete separation, and avoids computational problems inherent in assigning completely non-informative priors in multilevel models [8].…”
Section: Interpretation: Meta-parameters Contrastsmentioning
confidence: 99%