{"title":"The assessment of climate change policies through a general equilibrium model: An application to Uruguay","authors":"Francisco Rosas","doi":"10.1016/j.eneco.2024.108142","DOIUrl":null,"url":null,"abstract":"The objective of this study is to propose an extension of the Fullerton and Ta (2019) model, who show that their simple general equilibrium model generates comparable results to those yielded by large computable general equilibrium models. We propose key extensions that are relevant for climate policy analysis, in particular, for countries with significant net emissions coming from agriculture. We add timber production as another sector and land as another production factor, and analytically find the closed-form solution for the general equilibrium. We present an application calibrated to 2019 Uruguayan data, and implement the CO<mml:math altimg=\"si328.svg\" display=\"inline\"><mml:msub><mml:mrow></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:math>-neutral scenario of its 2050 Climate Change Long Term Strategy (LTS) submitted to the UNFCCC, which targets a CO<mml:math altimg=\"si328.svg\" display=\"inline\"><mml:msub><mml:mrow></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:math> net-zero economy by 2050. It requires a sharp reduction in fossil fuels demand, an increase of electricity demand to compensate the reduction of energy demand, a moderate increase in forestry area driving CO<mml:math altimg=\"si328.svg\" display=\"inline\"><mml:msub><mml:mrow></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:math> sinks, and a moderate increase in livestock productivity that reduces the CO<mml:math altimg=\"si328.svg\" display=\"inline\"><mml:msub><mml:mrow></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:math> emissions per unit of output. We assess the impacts on some key macroeconomic variables. Results show that the LTS CO<mml:math altimg=\"si328.svg\" display=\"inline\"><mml:msub><mml:mrow></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:math>-neutral scenario implies a cumulative impact on GDP level through 2050 of 0.01% or −0.73% depending on the set of policy instruments used. But considering that the time horizon is of about 30 years and assuming that the impact is equally distributed over time, it implies that the GDP growth rate remains almost unchanged relative to the baseline scenario. Therefore, this LTS, which implies drastic changes in the energy supply composition, implies only mild changes in GDP, but strong reductions on net CO<mml:math altimg=\"si328.svg\" display=\"inline\"><mml:msub><mml:mrow></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:math> emissions.","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"27 1","pages":""},"PeriodicalIF":13.6000,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Economics","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1016/j.eneco.2024.108142","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
The objective of this study is to propose an extension of the Fullerton and Ta (2019) model, who show that their simple general equilibrium model generates comparable results to those yielded by large computable general equilibrium models. We propose key extensions that are relevant for climate policy analysis, in particular, for countries with significant net emissions coming from agriculture. We add timber production as another sector and land as another production factor, and analytically find the closed-form solution for the general equilibrium. We present an application calibrated to 2019 Uruguayan data, and implement the CO2-neutral scenario of its 2050 Climate Change Long Term Strategy (LTS) submitted to the UNFCCC, which targets a CO2 net-zero economy by 2050. It requires a sharp reduction in fossil fuels demand, an increase of electricity demand to compensate the reduction of energy demand, a moderate increase in forestry area driving CO2 sinks, and a moderate increase in livestock productivity that reduces the CO2 emissions per unit of output. We assess the impacts on some key macroeconomic variables. Results show that the LTS CO2-neutral scenario implies a cumulative impact on GDP level through 2050 of 0.01% or −0.73% depending on the set of policy instruments used. But considering that the time horizon is of about 30 years and assuming that the impact is equally distributed over time, it implies that the GDP growth rate remains almost unchanged relative to the baseline scenario. Therefore, this LTS, which implies drastic changes in the energy supply composition, implies only mild changes in GDP, but strong reductions on net CO2 emissions.
期刊介绍:
Energy Economics is a field journal that focuses on energy economics and energy finance. It covers various themes including the exploitation, conversion, and use of energy, markets for energy commodities and derivatives, regulation and taxation, forecasting, environment and climate, international trade, development, and monetary policy. The journal welcomes contributions that utilize diverse methods such as experiments, surveys, econometrics, decomposition, simulation models, equilibrium models, optimization models, and analytical models. It publishes a combination of papers employing different methods to explore a wide range of topics. The journal's replication policy encourages the submission of replication studies, wherein researchers reproduce and extend the key results of original studies while explaining any differences. Energy Economics is indexed and abstracted in several databases including Environmental Abstracts, Fuel and Energy Abstracts, Social Sciences Citation Index, GEOBASE, Social & Behavioral Sciences, Journal of Economic Literature, INSPEC, and more.