| Srl | Item |
| 1 |
ID:
109319
|
|
|
|
|
| Publication |
2011.
|
| Summary/Abstract |
Welfare analyses of energy taxes typically show that systems with uniform rates perform better than differentiated systems. However, most western countries include some exemptions for their energy-intensive export industries and thereby avoid this potential welfare gain. Böhringer and Rutherford (1997) find that uniform taxation of carbon emissions in combination with a wage subsidy preserves jobs in these industries at a lower welfare cost compared with a differentiated system. The wage subsidy scheme generates a substantial welfare gain per job saved. This study, however, finds that welfare costs are substantial when less accurate policy measures, represented by production-dependent subsidies, protect jobs in Norwegian electricity-intensive industries. The welfare cost per job preserved by this subsidy scheme amounts to approximately 60% of the wage cost per job, suggesting that these jobs are expensive to preserve. A uniform electricity tax combined with production-dependent subsidies preserves jobs at a lower welfare cost compared with the current differentiated electricity tax system.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
ID:
119782
|
|
|
|
|
| Publication |
2013.
|
| Summary/Abstract |
This paper introduces a new method for stochastic sensitivity analysis for computable general equilibrium (CGE) model based on Gauss Quadrature and applies it to check the robustness of a large-scale climate policy evaluation. The revised version of the Gauss-quadrature approach to sensitivity analysis reduces computations considerably vis-à-vis the commonly applied Monte-Carlo methods; this allows for a stochastic sensitivity analysis also for large scale models and multi-dimensional changes of parameters. In the application, an impact assessment of EU2020 climate policy, we focus on sectoral elasticities that are part of the basic parameters of the model and have been recently determined by econometric estimation, alongside with standard errors. The impact assessment is based on the large scale CGE model PACE. We show the applicability of the Gauss-quadrature approach and confirm the robustness of the impact assessment with the PACE model. The variance of the central model outcomes is smaller than their mean by order four to eight, depending on the aggregation level (i.e. aggregate variables such as GDP show a smaller variance than sectoral output).
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|