Using machine learning in environmental tax reform assessment for sustainable development: A case study of Hubei Province, China

Keyphrases

• Machine Learning 100%
• China 100%
• Sustainable Development 100%
• Environmental Tax Reform 100%
• Hubei Province 100%
• Emission Intensity 60%
• Environmental Pollution 40%
• Intensity Reduction 40%
• Environmental Fee to Tax Reform 40%
• Pilot Cities 40%
• Environmental Fees 40%
• Machine Learning Approach 20%
• Economic Development 20%
• Reduction Performance 20%
• Economic Growth 20%
• Machine Learning Techniques 20%
• Controversial Issues 20%
• Emission Reduction 20%
• Synthetic Control Method 20%
• Environmental Cost 20%
• Reduction Rate 20%
• Yuan 20%
• Emissions Pollution 20%
• Environmental Tax 20%
• Tax Law 20%
• Environmental Protection Tax Law 20%
• Environmental Protection Tax 20%
• Environmental Policy Evaluation 20%
• Behavior Transformation 20%
• State Council 20%
• Tax Instruments 20%
• Administrative Level 20%
• Sulfur Dioxide SO2 20%
• Annual Emission 20%
• Institutional Incentives 20%
• Policy Evaluation 20%

Social Sciences

• Sustainable Development 100%
• Case Study 100%
• China 100%
• Environmental Tax 100%
• Tax Reform 100%
• Company 40%
• Enterprises 40%
• Environmental Conservation 40%
• Tax Law 40%
• Incentive 20%
• Environmental Policy 20%
• Learning Method 20%
• Administrative Structure 20%
• Economic Growth 20%
• Environmental Management 20%
• Economic and Social Development 20%
• Taxation 20%
• Policy Evaluation 20%

Economics, Econometrics and Finance

• Machine Learning 100%
• Environmental Tax 100%
• Sustainable Development 100%
• Aviation Employees 100%
• Incentives 33%
• Environmental Policy 33%
• Taxation 33%
• Economic Development 33%
• Environmental Cost 33%