The TERM Model and Its Database

Horridge, Mark

doi:10.1007/978-94-007-2876-9_2

Cited by 49 publications

(52 citation statements)

References 7 publications

(6 reference statements)

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“…A typical result from CGE models estimate percentage changes of endogenous variables after a policy has been implemented. The bottom‐up approach in TERM allows simulations with region‐specific price effects, and the modelling of imperfect factor mobility between regions and sectors (Horridge, ).…”

Section: Methodsmentioning

confidence: 99%

“…This study builds on work originally done by Horridge () and later in Horridge (), as simulations are run using the bottom‐up TERM model which allows us to analyse policy effects on 10 regions, 27 sectors and 27 corresponding commodities in South Africa . To achieve this purpose, several assumptions were made.…”

Section: Methodsmentioning

confidence: 99%

“…Producers apply production functions to determine the correct combination of intermediate commodities and primary factor inputs. TERM assumes that demand for primary factors and intermediate inputs follow a Leontief‐type nesting structure in proportion to the industries' output (Horridge, ). Each of these high‐level aggregate decisions is made through a CES‐type specification.…”

Section: Methodsmentioning

confidence: 99%

“…Finally, a constant elasticity of transformation mechanism is used to transform outputs from intermediate goods and primary factors into final goods. Wittwer () and Horridge () distinguish regional behavioural equations used in TERM – these are additional to the standard equations of CGE modelling in the ORANI‐school (Dixon et al ., ) . Regional equations include regional demand, supply, sourcing and revenue equations, among others.…”

Section: Methodsmentioning

confidence: 99%

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The Short‐Term Economic Impact of Levying E‐Tolls on Industries

Stofberg¹,

Heerden

2015

South African J Economics

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TERM is used to analyse the short-term regional economic impact of an increase in industries' transport costs when paying E-Tolls. Market-clearing and accounting equations allow regional economies to be represented as an integrated framework, labour adjusts to accommodate increasing transportation costs, and investments change to accommodate capital that is fixed. 1 We concluded that costs from levying E-Tolls on industries are small in comparison to total transport costs, and the impact on economic aggregates and most industries are marginal: investments (−0.404%), gross domestic product (GDP) (−0.01) and consumer price inflation (−0.10%). This is true even when considering costs and benefits on industries as well as consumers. Industries that experienced the greatest decline in output were transport, construction and gold. Provinces that are closer to Gauteng and have a greater share of severely impacted industries experienced larger GDP and real income reductions. Mpumalanga's decrease in GDP was 17% greater than Gauteng's. JEL Classification: C68, L91, R10, R48

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

The Short‐Term Economic Impact of Levying E‐Tolls on Industries

Stofberg¹,

Heerden

2015

South African J Economics

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“…To develop the model used in this paper, we calibrate a database using a regionalization procedure of information collected from the 2013 Brazilian System of National Accounts—SNA (IBGE, ), based on the procedures developed by Horridge () adapted to the Brazilian case. This methodology ensures the consistency of the database with the official information available for the country.…”

Section: Cge Model and Databasementioning

confidence: 99%

Regional funding and regional inequalities in the Brazilian Northeast

Ribeiro

Caldas

Souza

et al. 2019

Region Sci Policy Practice

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This paper investigates the impacts of a very important credit policy in Brazil called Northeast Financing Constitutional Fund (FNE in Portuguese) using a dynamic and inter‐regional computable general equilibrium model calibrated for 2013. Simulations were carried out based on FNE investment data for 2014 and 2015, allowing for isolation of the effect of the funding on macro regions. Results indicate that FNE expenditures between 2014 and 2015 would increase Northeast GDP by 3.51% by 2025. Estimates show a 0.46% decrease in regional inequality among Northeastern states measured by regional GINI. Results are compatible with the objectives of the fund, although the total effects, mainly on regional inequality, are quite modest.

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Potential economic impacts of foot‐and‐mouth disease in Brazil: A case study for Mato Grosso and Paraná

Menezes

Filho

Countryman

2023

J of Agr & App Econ Assoc

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This study investigates the economic effects of foot‐and‐mouth disease (FMD) by employing a regional, dynamic computable general equilibrium model in tandem with results from an epidemiological model to simulate an FMD outbreak in Brazil. Outbreaks located in Paraná and Mato Grosso negatively impact other states in Brazil, demonstrating a spillover effect of economic losses beyond the region directly affected by the disease. Results highlight the distributive effects of FMD outbreaks with most of the negative impacts falling predominantly on lower income workers and households. This study shows the importance of animal disease surveillance and control and provides estimates of the potential economywide effects of an FMD outbreak in Brazil.

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The TERM Model and Its Database

Abstract: The Centre of Policy Studies (COPS) is a research centre at Monash University devoted to economy-wide modelling of economic policy issues.

Cited by 49 publications

References 7 publications

The Short‐Term Economic Impact of Levying E‐Tolls on Industries

The Short‐Term Economic Impact of Levying E‐Tolls on Industries

Regional funding and regional inequalities in the Brazilian Northeast

Potential economic impacts of foot‐and‐mouth disease in Brazil: A case study for Mato Grosso and Paraná

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