The Experts below are selected from a list of 10728 Experts worldwide ranked by ideXlab platform
Thomas F Rutherford - One of the best experts on this subject based on the ideXlab platform.
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solution software for computable General Equilibrium Modeling
Handbook of Computable General Equilibrium Modeling, 2013Co-Authors: Mark Horridge, Alex Meeraus, Ken Pearson, Thomas F RutherfordAbstract:We describe the progress of computable General Equilibrium (CGE) Modeling software since the 1980s and contrast the main systems used today: GAMS, MPSGE and GEMPACK. The development of these General-purpose Modeling systems has underpinned rapid growth in the use of CGE models, and allowed models to be shared and their results replicated. We show how a very simple model may be implemented and solved in all three systems. We note that they produce the same numerical results but have different strengths. We conclude by considering some challenges for the future.
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applied General Equilibrium Modeling with mpsge as a gams subsystem anoverview of the Modeling framework and syntax
Computational Economics, 1999Co-Authors: Thomas F RutherfordAbstract:This paper describes a programming environment for economic Equilibrium analysis. The system introduces the Mathematical Programming System for General Equilibrium analysis (MPSGE, Rutherford 1987) within the Generalized Algebraic Modelling System (GAMS, Brooke, Kendrick and Meeraus (1988)). This arrangement exploits GAMS‘ set-oriented algebraic syntax for data manipulation and report writing. The system based on the tabular MPSGE input format provides a compact, non-algebraic representation of a model‘s nonlinear equations. This paper provides an overview of the modelling environment and three worked examples in tax policy analysis.
Brian R Parmenter - One of the best experts on this subject based on the ideXlab platform.
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computable General Equilibrium Modeling of environmental issues in australia economic impacts of an emissions trading scheme
Handbook of Computable General Equilibrium Modeling, 2013Co-Authors: Philip D Adams, Brian R ParmenterAbstract:A key distinguishing characteristic of computable General Equilibrium (CGE) Modeling in Australia is its orientation to providing inputs to the policy-formation process. Policy makers require detail. They want to be able to identify convincingly which industries, which occupations, which regions and which households would benefit or lose from policy changes, and when the benefits or losses might be expected to flow. In this chapter, we explain how the necessary level of detail can be provided, using as an example analysis that was undertaken by Centre of Policy Studies (CoPS) and Frontier Economics of the potential economic impacts of a carbon price on the Australian economy. The Australian carbon price framework is assumed to be part of a global emissions trading scheme (ETS). Over time, the global ETS becomes the dominant greenhouse abatement policy for all countries including Australia. It sets the price for carbon permits and allocates the number of permits available to each country. A number of key findings emerge from the CGE simulations of the effects of the ETS policy. (i) Domestic abatement falls well short of targeted abatement, requiring significant amounts of permits to be imported. (ii) Despite the requirement for deep cuts in emissions, the ETS reduces Australia’s GDP by only about 1.1% relative to the base case in 2030. The negative impact on real household consumption (the preferred measure of national welfare) is somewhat greater, reflecting the need to import permits. (iii) The national macroeconomic impacts of the ETS might be described as modest in the context of the policy task. However, this does not carry through to the industry and state/territory levels where some industries and regions prove particularly vulnerable in terms of potential lost employment. The need for detail is highlighted throughout the analysis. For example, a suitably detailed treatment of electricity supply is provided by linking CoPS’ CGE model with Frontier’s detailed bottom-up model of the stationary energy sector. Similarly, necessary detail on the effects of the global ETS on Australia’s international trading conditions is provided by linking with a multicountry model.
Tewodros Negash Kahsay - One of the best experts on this subject based on the ideXlab platform.
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a hybrid partial and General Equilibrium Modeling approach to assess the hydro economic impacts of large dams the case of the grand ethiopian renaissance dam in the eastern nile river basin
Environmental Modelling and Software, 2019Co-Authors: Tewodros Negash Kahsay, Diane Arjoon, O J Kuik, Roy Brouwer, Amaury Tilmant, Pieter Van Der ZaagAbstract:Abstract A novel integrated hydro-economic Modeling framework that links a bottom-up partial Equilibrium (engineering) model with a top-down (economic) General Equilibrium model is developed for assessing the regional economic impacts of water resources management and infrastructure development decisions in a transboundary river basin. The engineering model is employed first to solve the water allocation problem for a river system in a partial Equilibrium setting. The resulting system-wide changes in optimal water allocation are subsequently fed into the General Equilibrium model to provide an economy-wide perspective. This integrated hydro-economic Modeling framework is illustrated using the Eastern Nile River basin as a case study. The engineering-based stochastic dual dynamic programming (SDDP) model of the Eastern Nile basin is coupled with the computable General Equilibrium (CGE) model GTAP-W to assess the economy-wide impacts of the Grand Ethiopian Renaissance Dam (GERD) on the Eastern Nile economies.
Mandana Saebi - One of the best experts on this subject based on the ideXlab platform.
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economic and environmental impacts of ballast water management on small island developing states and least developed countries
Journal of Environmental Management, 2022Co-Authors: Zhaojun Wang, Amanda M Countryman, James J Corbett, Mandana SaebiAbstract:Abstract The Ballast Water Management Convention can decrease the introduction risk of harmful aquatic organisms and pathogens, yet the Convention increases shipping costs and causes subsequent economic impacts. This paper examines whether the Convention generates disproportionate invasion risk reduction results and economic impacts on Small Island Developing States (SIDS) and Least Developed Countries (LDCs). Risk reduction is estimated with an invasion risk assessment model based on a higher-order network, and the effects of the regulation on national economies and trade are estimated with an integrated shipping cost and computable General Equilibrium Modeling framework. Then we use the Lorenz curve to examine if the regulation generates risk or economic inequality among regions. Risk reduction ratios of all regions (except Singapore) are above 99%, which proves the effectiveness of the Convention. The Gini coefficient of 0.66 shows the inequality in risk changes relative to income levels among regions, but risk reductions across all nations vary without particularly high risks for SIDS and LDCs than for large economies. Similarly, we reveal inequality in economic impacts relative to income levels (the Gini coefficient is 0.58), but there is no evidence that SIDS and LDCs are disproportionately impacted compared to more developed regions. Most changes in GDP, real exports, and real imports of studied regions are minor (smaller than 0.1%). However, there are more noteworthy changes for select sectors and trade partners including Togo, Bangladesh, and Dominican Republic, whose exports may decrease for textiles and metal and chemicals. We conclude the Convention decreases biological invasion risk and does not generate disproportionate negative impacts on SIDS and LDCs.
Philip D Adams - One of the best experts on this subject based on the ideXlab platform.
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computable General Equilibrium Modeling of environmental issues in australia economic impacts of an emissions trading scheme
Handbook of Computable General Equilibrium Modeling, 2013Co-Authors: Philip D Adams, Brian R ParmenterAbstract:A key distinguishing characteristic of computable General Equilibrium (CGE) Modeling in Australia is its orientation to providing inputs to the policy-formation process. Policy makers require detail. They want to be able to identify convincingly which industries, which occupations, which regions and which households would benefit or lose from policy changes, and when the benefits or losses might be expected to flow. In this chapter, we explain how the necessary level of detail can be provided, using as an example analysis that was undertaken by Centre of Policy Studies (CoPS) and Frontier Economics of the potential economic impacts of a carbon price on the Australian economy. The Australian carbon price framework is assumed to be part of a global emissions trading scheme (ETS). Over time, the global ETS becomes the dominant greenhouse abatement policy for all countries including Australia. It sets the price for carbon permits and allocates the number of permits available to each country. A number of key findings emerge from the CGE simulations of the effects of the ETS policy. (i) Domestic abatement falls well short of targeted abatement, requiring significant amounts of permits to be imported. (ii) Despite the requirement for deep cuts in emissions, the ETS reduces Australia’s GDP by only about 1.1% relative to the base case in 2030. The negative impact on real household consumption (the preferred measure of national welfare) is somewhat greater, reflecting the need to import permits. (iii) The national macroeconomic impacts of the ETS might be described as modest in the context of the policy task. However, this does not carry through to the industry and state/territory levels where some industries and regions prove particularly vulnerable in terms of potential lost employment. The need for detail is highlighted throughout the analysis. For example, a suitably detailed treatment of electricity supply is provided by linking CoPS’ CGE model with Frontier’s detailed bottom-up model of the stationary energy sector. Similarly, necessary detail on the effects of the global ETS on Australia’s international trading conditions is provided by linking with a multicountry model.