2015
DOI: 10.1016/j.econmod.2015.05.003
|View full text |Cite
|
Sign up to set email alerts
|

A shaft of light into the black box of CGE analyses of tax reforms

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
4
0

Year Published

2015
2015
2023
2023

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 15 publications
(4 citation statements)
references
References 8 publications
0
4
0
Order By: Relevance
“…Other components include the number of sectors and the price of the energy goods. The CGE model can explain interrelationships across economic sectors, including interdependencies between them, and can show how a multiplicity of economic factors interrelate with policy instruments [60]. Simulating the energy taxation consequences on water extraction and energy usage in China involved integrating many models into one [58].…”
Section: Computable General Equilibriummentioning
confidence: 99%
“…Other components include the number of sectors and the price of the energy goods. The CGE model can explain interrelationships across economic sectors, including interdependencies between them, and can show how a multiplicity of economic factors interrelate with policy instruments [60]. Simulating the energy taxation consequences on water extraction and energy usage in China involved integrating many models into one [58].…”
Section: Computable General Equilibriummentioning
confidence: 99%
“…It requires a clear description of the internal mechanism to help policymakers see the transparent logic. Some traditional methods only show the quantitative results, leaving the internal mechanism as a black box ( 33 ). Thus, the effects of TP in different stages of GVCs on global GHG emissions remain unknown.…”
Section: Introductionmentioning
confidence: 99%
“…There are many models and tools to assess the Water-Energy-Environment nexus [18,19], although it is not clear how they include factors such as rainfall and its consequences on the environment. It is common that models and tools consider quantitative and/or qualitative indicators among the nodes.…”
Section: Introductionmentioning
confidence: 99%