An Overview of the GTAP 9 Data Base

Aguiar, Angel; Narayanan, Badri; McDougall, Robert

doi:10.21642/jgea.010103af

Cited by 476 publications

(343 citation statements)

References 14 publications

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“…The result of this procedure was a SAM with general sectoral classifications that may be used not only for modeling or analysis, but also serve as a basis for obtaining the much disaggregated BioSAMs. Finally, to complete this first stage, SAMs were adapted slightly, incorporating and adapting certain accounts to the classification of activities carried on by the Global Trade Analysis Project (GTAP) [30]. The reason for this was to facilitate the subsequent use of databases on agriculture and biofuels, which are incorporated in the BioSAMs (in particular, to calculate technical coefficients for activities related to bioenergy and bio-based chemicals).…”

Section: Data Sources the Biosamsmentioning

confidence: 99%

The Role of Bioeconomy Sectors and Natural Resources in EU Economies: A Social Accounting Matrix-Based Analysis Approach

2017

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Abstract:The bio-based economy will be crucial in achieving a sustainable development, covering all ranges of natural resources. In this sense, it is very relevant to analyze the economic links between the bioeconomic sectors and the rest of the economy, determining their total and decomposed impact on economic growth. One of the major problems in carrying out this analysis is the lack of information and complete databases that allow analysis of the bioeconomy and its effects on other economic activities. To overcome this issue, disaggregated social accounting matrices have been obtained for the highly bio-based sectors of the 28 European Union member states. Using this complex database, a linear multiplier analysis shows the future key role of bio-based sectors in boosting economic development in the EU. Results show that the bioeconomy has not yet unleashed its full potential in terms of output and job creation. Thus, output and employment multipliers show that many sectors related to the bioeconomy are still underperforming compared to the EU average, particularly those with higher value added; although, they are still crucial sectors for the wealth creation.

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Section: Data Sources the Biosamsmentioning

confidence: 99%

The Role of Bioeconomy Sectors and Natural Resources in EU Economies: A Social Accounting Matrix-Based Analysis Approach

2017

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“…We make use of social accounting matrices (SAMs) that are based on data from the Global Trade Analysis Project (GTAP) Version 9 (Aguiar et al, 2016). 11 Table 1 shows the primary factors of production and commodities in our model.…”

Section: Data and Calibrationmentioning

confidence: 99%

The Intergenerational Incidence of Green Tax Reform

Yonezawa

2018

Clim. Change Econ.

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We examine the lifetime incidence and intergenerational distributional effects of an economy-wide carbon tax swap using a numerical dynamic general equilibrium model with overlapping generations of the U.S. economy. We highlight various fundamental choices in policy design including (1) the level of the initial carbon tax, (2) the growth rate of the carbon tax trajectory of over time, and (3) alternative ways for revenue recycling. Without revenue recycling, we find that generations born before the tax is introduced experience smaller welfare losses, or even gain, relative to future generations. For sufficiently low growth rates of the tax trajectory, the impacts for distant future generations decrease over time. For future generations born after the introduction of the tax, the negative welfare impacts are the smallest (largest) when revenues are recycled through lowering pre-existing capital income taxes (through per-capita lump-sum rebates). For generations born before the tax is introduced, we find that lump-sum rebates favor very old generations and labor (capital) income tax recycling favors very young generations (generations of intermediate age).

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“…GE models of trade, for instance, require data mapping of imports, exports, and final expenditures at the sector level, with the structure of production feeding final demand. This includes the flow of intermediate inputs between sectors, as well as the allocation of primary factors of production across sectors [54,55]. Depending on the goal of the exercise, supplementary data requirements can range from tax data (e.g., production and trade taxes) to estimates of greenhouse gas emissions linked to activity across sectors [52].…”

Section: Partial and General Equilibrium Modellingmentioning

confidence: 99%

Integrating Modelling Approaches for Understanding Telecoupling: Global Food Trade and Local Land Use

Millington

Xiong

Peterson

et al. 2017

Land

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Abstract:The telecoupling framework is an integrated concept that emphasises socioeconomic and environmental interactions between distant places. Viewed through the lens of the telecoupling framework, land use and food consumption are linked across local to global scales by decision-making agents and trade flows. Quantitatively modelling the dynamics of telecoupled systems like this could be achieved using numerous different modelling approaches. For example, previous approaches to modelling global food trade have often used partial equilibrium economic models, whereas recent approaches to representing local land use decision-making have widely used agent-based modelling. System dynamics models are well established for representing aggregated flows and stores of products and values between distant locations. We argue that hybrid computational models will be useful for capitalising on the strengths these different modelling approaches each have for representing the various concepts in the telecoupling framework. However, integrating multiple modelling approaches into hybrid models faces challenges, including data requirements and uncertainty assessment. To help guide the development of hybrid models for investigating sustainability through the telecoupling framework here we examine important representational and modelling considerations in the context of global food trade and local land use. We report on the development of our own model that incorporates multiple modelling approaches in a modular approach to negotiate the trade-offs between ideal representation and modelling resource constraints. In this initial modelling our focus is on land use and food trade in and between USA, China and Brazil, but also accounting for the rest of the world. We discuss the challenges of integrating multiple modelling approaches to enable analysis of agents, flows, and feedbacks in the telecoupled system. Our analysis indicates differences in representation of agency are possible and should be expected in integrated models. Questions about telecoupling dynamics should be the primary driver in selecting modelling approaches, tempered by resource availability. There is also a need to identify appropriate modelling assessment and analysis tools and learn from their application in other domains.

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An Overview of the GTAP 9 Data Base

Cited by 476 publications

References 14 publications

The Role of Bioeconomy Sectors and Natural Resources in EU Economies: A Social Accounting Matrix-Based Analysis Approach

The Role of Bioeconomy Sectors and Natural Resources in EU Economies: A Social Accounting Matrix-Based Analysis Approach

The Intergenerational Incidence of Green Tax Reform

Integrating Modelling Approaches for Understanding Telecoupling: Global Food Trade and Local Land Use

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