Growth impact of climate change and response policies: The advanced climate change long-term (ACCL) model

被引:7
作者
Alestra, C. [1 ]
Cette, G. [2 ]
Chouard, V [3 ]
Lecat, R. [3 ]
机构
[1] Aix Marseille Univ, AMSE, Cent Marseille, CNRS,EHESS, Marseille, France
[2] NEOMA Business Sch, Mont St Aignan, France
[3] Banque France, Paris, France
关键词
Climate; Global warming; Energy prices; Environmental policy; Growth; Productivity; Long-term projections; WORLD; SUBSTITUTION; DIFFUSION; ENERGY; TRENDS;
D O I
10.1016/j.jpolmod.2021.10.001
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper provides a tool to build climate change scenarios to forecast Gross Domestic Product (GDP), modelling both GDP damage due to climate change and the GDP impact of mitigating measures. It adopts a supply-side, long-term view, with 2060 and 2100 horizons. It is a global projection tool (30 countries/regions), with assumptions and results both at the world and the country/regional level. Five different types of energy inputs are taken into account according to their CO2 emission factors. Full calibration is possible at each stage, with estimated or literature-based default parameters. Compared to other models, it provides a comprehensive modelisation of Total Factor Productivity (TFP), which is the most significant determinant of the GDP projected path. We present simulation results of different energy policy scenarios. They illustrate both the "tragedy of the horizon" and the "tragedy of the commons", which call for a policy framework that adequately integrates a long run perspective, through a low-enough discount rate and an effective intergenerational solidarity as well as international cooperation. (C) 2021 The Society for Policy Modeling. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:96 / 112
页数:17
相关论文
共 44 条
[1]  
Alberth Stephan, 2006, DEV PAGE2002 MODEL E
[2]  
Alestra C., 2020, WORKING PAPERS, V759
[3]  
[Anonymous], 2017, 23646 NBER
[4]  
[Anonymous], 2015, NORW EARL CHILDH ED
[5]  
[Anonymous], 2013, OECD GUIDELINES TEST, DOI DOI 10.1787/9789264203785-EN
[6]  
[Anonymous], 2011, DEMOGRAPHY, DOI DOI 10.1007/s13524-010-0004-1
[7]   Quantifying Economic Damages from Climate Change [J].
Auffhammer, Maximilian .
JOURNAL OF ECONOMIC PERSPECTIVES, 2018, 32 (04) :33-52
[8]  
Barro R., 2010, 15902 NBER, DOI DOI 10.1016/J.JDEVECO.2012.10.001
[9]  
Barros VR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1133
[10]   The role of production factor quality and technology diffusion in twentieth-century productivity growth [J].
Bergeaud, Antonin ;
Cette, Gilbert ;
Lecat, Remy .
CLIOMETRICA, 2018, 12 (01) :61-97