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GTAP Resource #6119

"Exploring the Impacts of Changing Energy Costs on New Zealand Agriculture to 2030: A GTAP-E-RD Application"
by Corong, Erwin and Anna Strutt

In this study, we explore the impacts of changing energy costs using the new GTAP-E-RD model to project the global economy to 2030, with a particular focus on New Zealand agriculture. In addition to capturing intersectoral and international linkages within a consistent framework, the GTAP-E-RD model enables us to include a relatively detailed specification of energy inputs and associated carbon emissions, as well as recursive dynamics to allow explicit modelling of time.

We use the GTAP version 10 database, with a base year of 2014. In addition to economic data including on inputs, outputs and trade flows for New Zealand and other economies, the database includes carbon dioxide emissions distinguished by fuel type and user. These data are supplemented with non-CO2 emissions data on other greenhouse gas emissions. In the standard GTAP database, the beef and sheep meat sectors are combined. However, to facilitate more detailed analysis of meat sectors, we split the GTAP beef and sheep meat (cmt), as well as the associated cattle and sheep (ctl) sectors.

We develop a baseline of the global economy to 2030, including key macroeconomic projections as well as relatively conservative increases in New Zealand carbon emission prices and moderate changes in world oil and gas prices. We then consider the impact of five different scenarios: a moderate increase in the price of carbon emissions in New Zealand; a relatively high increase in the New Zealand carbon emission price; a moderate global carbon tax; lower than baseline fuel price increases; and higher than baseline fuel price increases.

Resource Details (Export Citation) GTAP Keywords
Category: 2020 Conference Paper
Status: Published
By/In: Presented during the 23rd Annual Conference on Global Economic Analysis (Virtual Conference)
Date: 2020
Created: Strutt, A. (4/15/2020)
Updated: Strutt, A. (6/19/2020)
Visits: 1,545
- Dynamic modeling
- Climate change policy
- Agricultural policies
- Oceania

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