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Climate change policy in Brazil and Mexico: Results from the MIT EPPA model

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  • Octaviano, Claudia
  • Paltsev, Sergey
  • Gurgel, Angelo Costa

Abstract

Based on an in-depth analysis of results from the MIT Economic Projection and Policy Analysis (EPPA) model of climate policies for Brazil and Mexico, we demonstrate that commitments by Mexico and Brazil for 2020—made during the UN climate meetings in Copenhagen and Cancun—are reachable, but they come at different costs for each country. We find that Brazil's commitments will be met through reduced deforestation, and at no additional cost; however, Mexico's pledges will cost 4 billion US dollars in terms of reduced GDP in 2020. We explore short- and long-term implications of several policy scenarios after 2020, considering current policy debates in both countries. The comparative analysis of these two economies underscores the need for climate policy designed for the specific characteristics of each country, accounting for variables such as natural resources and current economic structure. Our results also suggest that both Brazil and Mexico may face other environmental and economic impacts from stringent global climate policies, affecting variables such as the value of energy resources in international trade.

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  • Octaviano, Claudia & Paltsev, Sergey & Gurgel, Angelo Costa, 2016. "Climate change policy in Brazil and Mexico: Results from the MIT EPPA model," Energy Economics, Elsevier, vol. 56(C), pages 600-614.
    • Handle: RePEc:eee:eneeco:v:56:y:2016:i:c:p:600-614
    DOI: 10.1016/j.eneco.2015.04.007
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    5. Diniz Oliveira, Thais & Gurgel, Angelo & Tonry, Steve, 2018. "The Effects for Brazil of Linking Emissions Trading Schemes in the context of the Heterogeneity of Trading Partners," Conference papers 332951, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
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    8. Debora Sotto & Arlindo Philippi & Tan Yigitcanlar & Md Kamruzzaman, 2019. "Aligning Urban Policy with Climate Action in the Global South: Are Brazilian Cities Considering Climate Emergency in Local Planning Practice?," Energies, MDPI, vol. 12(18), pages 1-31, September.
    9. Zribi, Wissal & Boufateh, Talel & Lahouel, Bechir Ben & Urom, Christian, 2024. "Uncertainty shocks, investor sentiment and environmental performance: Novel evidence from a PVAR approach," International Review of Financial Analysis, Elsevier, vol. 93(C).
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    13. Rafael Henrique Mainardes Ferreira & Claudia Tania Picinin, 2018. "Bibliometric analysis for characterization of oil production in Brazilian territory," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1945-1974, September.

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    More about this item

    Keywords

    Climate policy; Brazil; Mexico; General equilibrium; Land use; Biofuels;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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