As long as the energy resource industry provides usable products for all countries in the world, countries’ governments have to ensure that all offshore facilities, controls, and direct commerce in natural resources and international trade conditions are functioning properly. Therefore, energy cooperation should be supported and reflected in a government’s strategies. The current state of economic crisis encourages governments around the world to embark on the ambitious task of developing comprehensive measures that can not only restore but also form social ties and economic relations for many years to come. Sustainable Development Goals set out in the United Nations 2030 Agenda and the Paris Climate Agreement can serve as a compass for finding the right course in the face of total disorientation of the current moment. The current government financial support that is being developed and implemented can also accelerate humanity's transition to a sustainable green economy.
The goal of this Research Topic is to re-examine pressing issues in environmental economics and management based on big data, deep learning, and other machine learning techniques and advanced analytical methods, given the exceptionally complex nature of carbon emissions management. New methods may prove particularly valuable due to their capability of modeling various complex and nonlinear relationships. Research studies based on any significant issues in carbon emissions in economics and management are welcome. This collection aims to collect studies on economic modeling and energy research to manage the carbon emission problem. Furthermore, we will look at recent CO2 emissions in the context of recent energy production and consumption patterns We encourage researchers to submit papers that use fuzzy decision-making methodology as an evaluation method.
The topic of interest include but are not limited to the following:
• Estimation of Greenhouse Gas Emission in China
• Heterogeneous effect of eco-innovation and human capital on renewable & non-renewable energy consumption
• A Sustainable Home Energy Prosumer-Chain Methodology with Energy Tags over the Blockchain
• Measuring the Changes in Greenhouse Gas Emissions Caused by the Trans-Pacific Partnership
• Transparency of Financial Reporting on Greenhouse Gas Emission Allowances: The Influence of Regulation
• Assessing the Greenhouse Gas Mitigation Effect of Removing Bovine Trypanosomiasis in Eastern Africa
• Duck curve leveling in renewable energy integrated grids using internet
• Renewable energy sources (RES): alternative possibilities, which could be implemented
• Comparative analysis of MCDM methods for ranking renewable energy sources
• The Mutual Impact of Demand Response Programs
• The Concept of Multiple Impacts of Renewable Energy Sources
• Matching Characteristic Research of Building Renewable Energy System-Business model for the sustainability of Environment and Economy
As long as the energy resource industry provides usable products for all countries in the world, countries’ governments have to ensure that all offshore facilities, controls, and direct commerce in natural resources and international trade conditions are functioning properly. Therefore, energy cooperation should be supported and reflected in a government’s strategies. The current state of economic crisis encourages governments around the world to embark on the ambitious task of developing comprehensive measures that can not only restore but also form social ties and economic relations for many years to come. Sustainable Development Goals set out in the United Nations 2030 Agenda and the Paris Climate Agreement can serve as a compass for finding the right course in the face of total disorientation of the current moment. The current government financial support that is being developed and implemented can also accelerate humanity's transition to a sustainable green economy.
The goal of this Research Topic is to re-examine pressing issues in environmental economics and management based on big data, deep learning, and other machine learning techniques and advanced analytical methods, given the exceptionally complex nature of carbon emissions management. New methods may prove particularly valuable due to their capability of modeling various complex and nonlinear relationships. Research studies based on any significant issues in carbon emissions in economics and management are welcome. This collection aims to collect studies on economic modeling and energy research to manage the carbon emission problem. Furthermore, we will look at recent CO2 emissions in the context of recent energy production and consumption patterns We encourage researchers to submit papers that use fuzzy decision-making methodology as an evaluation method.
The topic of interest include but are not limited to the following:
• Estimation of Greenhouse Gas Emission in China
• Heterogeneous effect of eco-innovation and human capital on renewable & non-renewable energy consumption
• A Sustainable Home Energy Prosumer-Chain Methodology with Energy Tags over the Blockchain
• Measuring the Changes in Greenhouse Gas Emissions Caused by the Trans-Pacific Partnership
• Transparency of Financial Reporting on Greenhouse Gas Emission Allowances: The Influence of Regulation
• Assessing the Greenhouse Gas Mitigation Effect of Removing Bovine Trypanosomiasis in Eastern Africa
• Duck curve leveling in renewable energy integrated grids using internet
• Renewable energy sources (RES): alternative possibilities, which could be implemented
• Comparative analysis of MCDM methods for ranking renewable energy sources
• The Mutual Impact of Demand Response Programs
• The Concept of Multiple Impacts of Renewable Energy Sources
• Matching Characteristic Research of Building Renewable Energy System-Business model for the sustainability of Environment and Economy
