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Equilibrium (Economics) --- DGE (Economics) --- Disequilibrium (Economics) --- DSGE (Economics) --- Dynamic stochastic general equilibrium (Economics) --- Economic equilibrium --- General equilibrium (Economics) --- Partial equilibrium (Economics) --- SDGE (Economic theory) --- Economics --- Statics and dynamics (Social sciences)
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Policymakers in developing countries face multiple challenges related to climate change. To provide policymakers with reliable recommendations on a variety of climate related policies, the WBG has a diverse and complementary set of models. The analytics range from evaluating the aggregate, sectoral, and welfare effects of mitigation measures to assessing country-specific adaptation needs, considering the impacts of extreme weather events as well as gradual global warming. Key indicators include macroeconomic outcomes, sectoral indicators, co-benefits and poverty and distributional issues. This report summarizes the range of climate and development issues addressed by each model in the WBG suite, revealing both strengths and limitations of individual models, as well as the complementarity among models.
Adaptation To Climate Change --- Carbon Policy and Trading --- Climate Change --- Climate Change Mitigation and Green House Gases --- Computable General Equilibrium --- Economic Growth --- Economic Theory and Research --- Environment --- Global Warming --- Macroeconomics and Economic Growth
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The application of Deep Reinforcement Learning (DRL) in economics has been an area of active research in recent years. A number of recent works have shown how deep reinforcement learning can be used to study a variety of economic problems, including optimal policy-making, game theory, and bounded rationality. In this paper, after a theoretical introduction to deep reinforcement learning and various DRL algorithms, we provide an overview of the literature on deep reinforcement learning in economics, with a focus on the main applications of deep reinforcement learning in macromodeling. Then, we analyze the potentials and limitations of deep reinforcement learning in macroeconomics and identify a number of issues that need to be addressed in order for deep reinforcement learning to be more widely used in macro modeling.
Macroeconomics --- Economics: General --- Intelligence (AI) & Semantics --- Environmental Economics --- Financial Risk Management --- Econometrics --- Computational Techniques --- Data Collection and Data Estimation Methodology --- Computer Programs: Other --- Network Formation and Analysis: Theory --- Technological Change: Choices and Consequences --- Diffusion Processes --- Environmental Economics: General --- Debt --- Debt Management --- Sovereign Debt --- Computable and Other Applied General Equilibrium Models --- Economic & financial crises & disasters --- Economics of specific sectors --- Machine learning --- Environmental economics --- Artificial intelligence --- Finance --- Econometrics & economic statistics --- Technology --- Debt relief --- Asset and liability management --- General equilibrium models --- Econometric analysis --- Currency crises --- Informal sector --- Economics --- Environmental sciences --- Debts, External --- Econometric models
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The application of Deep Reinforcement Learning (DRL) in economics has been an area of active research in recent years. A number of recent works have shown how deep reinforcement learning can be used to study a variety of economic problems, including optimal policy-making, game theory, and bounded rationality. In this paper, after a theoretical introduction to deep reinforcement learning and various DRL algorithms, we provide an overview of the literature on deep reinforcement learning in economics, with a focus on the main applications of deep reinforcement learning in macromodeling. Then, we analyze the potentials and limitations of deep reinforcement learning in macroeconomics and identify a number of issues that need to be addressed in order for deep reinforcement learning to be more widely used in macro modeling.
Macroeconomics --- Economics: General --- Intelligence (AI) & Semantics --- Environmental Economics --- Financial Risk Management --- Econometrics --- Computational Techniques --- Data Collection and Data Estimation Methodology --- Computer Programs: Other --- Network Formation and Analysis: Theory --- Technological Change: Choices and Consequences --- Diffusion Processes --- Environmental Economics: General --- Debt --- Debt Management --- Sovereign Debt --- Computable and Other Applied General Equilibrium Models --- Economic & financial crises & disasters --- Economics of specific sectors --- Machine learning --- Environmental economics --- Artificial intelligence --- Finance --- Econometrics & economic statistics --- Technology --- Debt relief --- Asset and liability management --- General equilibrium models --- Econometric analysis --- Currency crises --- Informal sector --- Economics --- Environmental sciences --- Debts, External --- Econometric models
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The International Conference on Sustainable Development (ICSD) was held virtually on September 20-21, 2021, with the conference theme “Research for Impact: A Sustainable and Inclusive Planet.” ICSD provides a forum for academia, government, civil society, UN agencies, and the private sector to come together to share practical solutions to achieve Sustainable Development Goals (SDGs). The two-day conference hosted 49 different sessions across multiple time zones to accommodate the global audience, with 204 oral presenters, 239 poster presenters, and 977 total authors.
Peace studies & conflict resolution --- International relations --- water–food–energy nexus --- computable general equilibrium models --- climate change --- water modelling --- critical land rehabilitation --- indigenous knowledge --- Indonesia --- local permaculture model --- willingness to pay --- renewable energy --- contingent valuation method --- foster greer thorbecke --- mean per capita expenditure --- sustainable food security --- talun-kebun --- West Java --- climate technology readiness --- cleantech --- green technologies --- environmental technology --- ESG --- green ports --- sustainable investments --- digital ESG tools --- teacher education --- teacher educators --- sustainability --- SDG 4 --- vignette research --- Global Green New Deal --- global governance --- COVID-19 --- green recovery --- international trade --- food security --- OSD --- zoochory --- nutrition --- Brazil --- jackfruit --- entrepreneurship --- biodiversity --- family agriculture --- protected areas --- exotic species
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This paper presents ways for China to achieve its climate goals while also attain high-quality growth—growth that is balanced, inclusive, and green. Using a dynamic computable general equilibrium model that is calibrated to China, multiple scenarios are considered that incorporate a sequence of layered policies: (i) frontloading mitigation with an earlier emissions peak, (ii) power market reforms, and (iii) economic rebalancing. The results highlight that these policies can significantly contribute to the success of the climate strategy overall, including by lowering the shadow price of carbon as well as the associated mitigation costs. Distribution analysis offers proposals to lessen the impact on vulnerable households.
Macroeconomics --- Economics: General --- Environmental Conservation and Protection --- Environmental Economics --- Natural Resources --- Environmental Policy --- Economywide Country Studies: Asia including Middle East --- Climate --- Natural Disasters and Their Management --- Global Warming --- Industrialization --- Manufacturing and Service Industries --- Choice of Technology --- Computable and Other Applied General Equilibrium Models --- Nonrenewable Resources and Conservation: General --- Environmental Economics: Government Policy --- Macroeconomics: Consumption --- Saving --- Wealth --- Economic & financial crises & disasters --- Economics of specific sectors --- Climate change --- Environmental economics --- Environmental management --- Environmental policy & protocols --- Greenhouse gas emissions --- Environment --- Non-renewable resources --- Climate policy --- Consumption --- National accounts --- Currency crises --- Informal sector --- Economics --- Greenhouse gases --- Emissions trading --- Natural resources --- Environmental policy --- China, People's Republic of
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The qualitative and granular nature of most structural indicators and the variety in data sources poses difficulties for consistent cross-country assessments and empirical analysis. We overcome these issues by using a machine learning approach (the partial least squares method) to combine a broad set of cross-country structural indicators into a small number of synthetic scores which correspond to key structural areas, and which are suitable for consistent quantitative comparisons across countries and time. With this newly constructed dataset of synthetic structural scores in 126 countries between 2000-2019, we establish stylized facts about structural gaps and reforms, and analyze the impact of reforms targeting different structural areas on economic growth. Our findings suggest that structural reforms in the area of product, labor and financial markets as well as the legal system have a significant impact on economic growth in a 5-year horizon, with one standard deviation improvement in one of these reform areas raising cumulative 5-year growth by 2 to 6 percent. We also find synergies between different structural areas, in particular between product and labor market reforms.
Macroeconomics --- Economics: General --- Corporate Finance --- Labor --- Intelligence (AI) & Semantics --- Institutions and the Macroeconomy --- Quantitative Policy Modeling --- Large Data Sets: Modeling and Analysis --- Computable and Other Applied General Equilibrium Models --- Institutions and Growth --- Measurement of Economic Growth --- Aggregate Productivity --- Cross-Country Output Convergence --- Financial Institutions and Services: General --- Demand and Supply of Labor: General --- Technological Change: Choices and Consequences --- Diffusion Processes --- Labor Economics Policies --- Economic & financial crises & disasters --- Economics of specific sectors --- Labour --- income economics --- Machine learning --- Structural reforms --- Macrostructural analysis --- Business environment --- Economic sectors --- Labor markets --- Technology --- Labor market reforms --- Currency crises --- Informal sector --- Economics --- Business enterprises --- Labor market --- Manpower policy
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This paper presents ways for China to achieve its climate goals while also attain high-quality growth—growth that is balanced, inclusive, and green. Using a dynamic computable general equilibrium model that is calibrated to China, multiple scenarios are considered that incorporate a sequence of layered policies: (i) frontloading mitigation with an earlier emissions peak, (ii) power market reforms, and (iii) economic rebalancing. The results highlight that these policies can significantly contribute to the success of the climate strategy overall, including by lowering the shadow price of carbon as well as the associated mitigation costs. Distribution analysis offers proposals to lessen the impact on vulnerable households.
China, People's Republic of --- Macroeconomics --- Economics: General --- Environmental Conservation and Protection --- Environmental Economics --- Natural Resources --- Environmental Policy --- Economywide Country Studies: Asia including Middle East --- Climate --- Natural Disasters and Their Management --- Global Warming --- Industrialization --- Manufacturing and Service Industries --- Choice of Technology --- Computable and Other Applied General Equilibrium Models --- Nonrenewable Resources and Conservation: General --- Environmental Economics: Government Policy --- Macroeconomics: Consumption --- Saving --- Wealth --- Economic & financial crises & disasters --- Economics of specific sectors --- Climate change --- Environmental economics --- Environmental management --- Environmental policy & protocols --- Greenhouse gas emissions --- Environment --- Non-renewable resources --- Climate policy --- Consumption --- National accounts --- Currency crises --- Informal sector --- Economics --- Greenhouse gases --- Emissions trading --- Natural resources --- Environmental policy
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The qualitative and granular nature of most structural indicators and the variety in data sources poses difficulties for consistent cross-country assessments and empirical analysis. We overcome these issues by using a machine learning approach (the partial least squares method) to combine a broad set of cross-country structural indicators into a small number of synthetic scores which correspond to key structural areas, and which are suitable for consistent quantitative comparisons across countries and time. With this newly constructed dataset of synthetic structural scores in 126 countries between 2000-2019, we establish stylized facts about structural gaps and reforms, and analyze the impact of reforms targeting different structural areas on economic growth. Our findings suggest that structural reforms in the area of product, labor and financial markets as well as the legal system have a significant impact on economic growth in a 5-year horizon, with one standard deviation improvement in one of these reform areas raising cumulative 5-year growth by 2 to 6 percent. We also find synergies between different structural areas, in particular between product and labor market reforms.
Macroeconomics --- Economics: General --- Corporate Finance --- Labor --- Intelligence (AI) & Semantics --- Institutions and the Macroeconomy --- Quantitative Policy Modeling --- Large Data Sets: Modeling and Analysis --- Computable and Other Applied General Equilibrium Models --- Institutions and Growth --- Measurement of Economic Growth --- Aggregate Productivity --- Cross-Country Output Convergence --- Financial Institutions and Services: General --- Demand and Supply of Labor: General --- Technological Change: Choices and Consequences --- Diffusion Processes --- Labor Economics Policies --- Economic & financial crises & disasters --- Economics of specific sectors --- Labour --- income economics --- Machine learning --- Structural reforms --- Macrostructural analysis --- Business environment --- Economic sectors --- Labor markets --- Technology --- Labor market reforms --- Currency crises --- Informal sector --- Economics --- Business enterprises --- Labor market --- Manpower policy
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Climate and demographic changes are two major long-term trends that are evolving simultaneously. The global population is aging, while climate change is increasing the frequency and severity of weather-related disasters and lowering productivity. This paper examines the macroeconomic effects of these three changes in a common framework. Simulation results suggest that while aging drags down the real interest rate, climate change puts upward pressure on the real interest rate and inflation. As climate change intensifies, it will be the dominant factor shaping the macroeconomic variables. This results in higher inflation and a higher debt-to-GDP ratio, requiring tighter fiscal and monetary policies. The results further suggest that economic uncertainty induced by climate change amplifies these effects of climate change.
520 Milieubeleid --- 460 Economie --- Macroeconomics --- Economics: General --- Demography --- Environmental Economics --- Banks and Banking --- Computable and Other Applied General Equilibrium Models --- Macroeconomics: Consumption --- Saving --- Wealth --- Monetary Policy, Central Banking, and the Supply of Money and Credit: General --- Comparative or Joint Analysis of Fiscal and Monetary Policy --- Stabilization --- Treasury Policy --- Climate --- Natural Disasters and Their Management --- Global Warming --- Demographic Trends, Macroeconomic Effects, and Forecasts --- Economics of the Elderly --- Economics of the Handicapped --- Non-labor Market Discrimination --- Interest Rates: Determination, Term Structure, and Effects --- Economic & financial crises & disasters --- Economics of specific sectors --- Population & demography --- Climate change --- Finance --- Consumption --- National accounts --- Environment --- Demographic change --- Population and demographics --- Aging --- Real interest rates --- Financial services --- Currency crises --- Informal sector --- Economics --- Climatic changes --- Demographic transition --- Population aging --- Interest rates
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