Identifying strategies for mitigating the global warming impact of the EU-25 economy using a multi-objective input-output approach

被引:37
作者
Cortes-Borda, D. [1 ]
Ruiz-Hernandez, A. [1 ]
Guillen-Gosalbez, G. [1 ,2 ]
Llop, M. [3 ]
Guimera, R. [1 ,4 ]
Sales-Pardo, M. [1 ]
机构
[1] Univ Rovira & Virgili, Dept Engn Quim, E-43007 Tarragona, Spain
[2] Univ Manchester, Ctr Proc Integrat, Sch Chem Engn & Analyt Sci, Manchester M13 9PL, Lancs, England
[3] Univ Rovira & Virgili, Ctr Recerca Econ Ind & Econ Publ CREIP, Reus 43204, Spain
[4] ICREA, Barcelona 08010, Spain
关键词
Input-output analysis; Global warming potential; Multi-objective optimization; Pareto optimal; CO2; EMISSIONS; CLIMATE-CHANGE; ENVIRONMENTAL IMPACTS; INTERNATIONAL-TRADE; CARBON FOOTPRINT; ENERGY; CONSUMPTION; POLICY; MODEL; UK;
D O I
10.1016/j.enpol.2014.11.020
中图分类号
F [经济];
学科分类号
020101 [政治经济学];
摘要
Global warming mitigation has recently become a priority worldwide. A large body of literature dealing with energy related problems has focused on reducing greenhouse gases emissions at an engineering scale. In contrast, the minimization of climate change at a wider macroeconomic level has so far received much less attention. We investigate here how to mitigate global warming by performing changes in an economy. To this end, we make use of a systematic tool that combines three methods: linear programming, environmentally extended input output models, and life cycle assessment principles. The problem of identifying key economic sectors that contribute significantly to global warming is posed in mathematical terms as a bi-criteria linear program that seeks to optimize simultaneously the total economic output and the total life cycle CO2 emissions. We have applied this approach to the European Union economy, finding that significant reductions in global warming potential can be attained by regulating specific economic sectors. Our tool is intended to aid policy makers in the design of more effective public policies for achieving the environmental and economic targets sought. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:21 / 30
页数:10
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