4.7 Article

Macroeconomic modelling under energy constraints: Global low carbon transition scenarios

期刊

ENERGY POLICY
卷 137, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.enpol.2019.111090

关键词

Energy policy; Climate policy; Green growth; Post-growth; Integrated assessment models

资金

  1. European project H2020-LCE-2015-2 [691287]
  2. MODESLOW project MODElling and Simulation of scenarios towards a LOW-carbon transition: the Spanish case)
  3. Spanish National Research, Development and Innovation Program (Ministry of Economy and Innovation, Spain) [ECO2017-85110-R]

向作者/读者索取更多资源

Integrated Assessment Models provide a framework to study sustainability transitions and their economic impacts. Models seldom consider energy constraints, taking supply availability for granted and thus suggesting a mere change in the energy mix from non-renewables to renewables. In order to address these limitations, a macro-economic module within a broader system dynamics model (MEDEAS) has been developed. The model has been run for the whole world from 1995 to 2050 under three different scenarios: Business as Usual (BAU), considering no further transition policies and keeping current trends; Green Growth (GG), undertaking the low-carbon transition according to the Paris Agreement set of policies and with high GDP growth standards; and Post-Growth (PG), testing the sustainability transition under a GDP non-growth/degrowth approach. The results reveal the conflict between economic growth, climate policy and the sustainability of resources. Whereas a BAU approach would not even be an option to achieve climate goals, a GG view would not only face the downsizing of economic output, but neither would it be able to achieve the 2 degrees C objective. The success of the PG approach in meeting emissions objectives suggests a redirection from economic growth policies to an industrial policy that incorporates efficiency and redistribution.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据