The MIT EPPA6 Model: Economic Growth, Energy Use, Emissions, and Food Consumption

Conference Proceedings Paper
The MIT EPPA6 Model: Economic Growth, Energy Use, Emissions, and Food Consumption
Chen, Y.-H. H., S. Paltsev, J. Reilly, and J. Morris (2014)
Conference Proceedings, GTAP 17th Annual Conference on Global Economic Analysis (Dakar, Senegal, June 18) GTAP Resource 4443

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Abstract/Summary:

The MIT Emissions Prediction and Policy Analysis (EPPA) model has been broadly applied on energy and climate policy analyses. In this paper, we present our newest model: EPPA6-L. Besides adopting the GTAP8 database as the core economic data, EPPA6-L incorporates the latest energy, emissions, and cost estimates from existing studies, and enhances the model structure and implementation to facilitate future extension. With these improvements, the projected business-as-usual CO2 emissions in 2100 are lowered by 6.3% compared to the EPPA5 number. We also present how projections for the consumption of crops, livestock, and food products are improved with non-homothetic preference, and how various assumptions for business-as-usual GDP growth, elasticity of substitution between energy and non-energy input, and autonomous energy efficiency improvement may change CO2 emissions and prices.

Citation:

Chen, Y.-H. H., S. Paltsev, J. Reilly, and J. Morris (2014): The MIT EPPA6 Model: Economic Growth, Energy Use, Emissions, and Food Consumption. Conference Proceedings, GTAP 17th Annual Conference on Global Economic Analysis (Dakar, Senegal, June 18) GTAP Resource 4443 (https://www.gtap.agecon.purdue.edu/resources/res_display.asp?RecordID=4443)
  • Conference Proceedings Paper
The MIT EPPA6 Model: Economic Growth, Energy Use, Emissions, and Food Consumption

Chen, Y.-H. H., S. Paltsev, J. Reilly, and J. Morris

Conference Proceedings
GTAP 17th Annual Conference on Global Economic Analysis (Dakar, Senegal, June 18) GTAP Resource 4443

Abstract/Summary: 

The MIT Emissions Prediction and Policy Analysis (EPPA) model has been broadly applied on energy and climate policy analyses. In this paper, we present our newest model: EPPA6-L. Besides adopting the GTAP8 database as the core economic data, EPPA6-L incorporates the latest energy, emissions, and cost estimates from existing studies, and enhances the model structure and implementation to facilitate future extension. With these improvements, the projected business-as-usual CO2 emissions in 2100 are lowered by 6.3% compared to the EPPA5 number. We also present how projections for the consumption of crops, livestock, and food products are improved with non-homothetic preference, and how various assumptions for business-as-usual GDP growth, elasticity of substitution between energy and non-energy input, and autonomous energy efficiency improvement may change CO2 emissions and prices.

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