This book uses cutting-edge methods, such as big data mining methods on social media, generalized difference in difference, inoperational inputoutput models, improved data envelopment analysis, improved computable general equilibrium and others to calculate the economic impacts of climate and environmental disasters on China. This book provides the ideas, methods and cases of the redistribution of air pollution emissions in China through evaluating the benefits of meteorological disaster services and meteorological financial insurance. Using big data resources and data mining methods, as well as econometric models, etc., this book provides a comprehensive assessment of the economic impact of disasters in China and studies China's counterpart aid policy and international aid policy for disasters.

This book is an academic monograph devoted to the China's case study. The intended readership includes academics, government officials,graduate students and people concerned about China.

Evaluates the Comprehensive Economic Loss of COVID-19 Epidemic Disaster Based on CGE Model Explores the impact of disaster on economic development Uses cutting-edge methods, such as big data mining methods on social media, generalized difference in difference, inoperational inputoutput models, improved data envelopment analysis, and improved computable general equilibrium

Autorentext
Dr. Xianhua Wu is Distinguished Professor of Shanghai Maritime University, China. His areas of specialty include hazard risk analysis, big data analysis and applied statistics. He has published 7 books and more than 130 academic articles in journals like Annals of Operational Research, Science of the Total Environment, Environmental Research, Transportation Research Part D: Transport and Environment and others. As Principal Investigator, he has 7 national research projects such as "The Major Research Plan of National Social Science Foundation (18ZDA052): Research on the Control Optimization of Air Pollutant Emission in the Era of Big Data" and "Training Program of the Major Research Plan of the National Science Foundation of China (91546117): Research on Integration Method of Big Data of Meteorological Hazards for Supporting Emergency Decision-making". He is also a member of Steering Committee of Economics Education (2018-2022), MOE, China.

Dr. Ji Guo is Professor of the School of Economics and Management, Shanghai Maritime University, China. Her areas of specialty include environmental economics and emergency management. She has published 4 books and more than 80 academic articles in journals like Annals of Operational Research, Environmental Hazards, Journal of International Trade & Economic Development, Journal of Cleaner Production, Weather, Climate and Society and others. As Principal Investigator, she has 2 national research projects such as "Research Plan of National Social Science Foundation: Research on Optimal Control of Haze Emission Based on Data Envelopment Analysis (17BGL142) and Innovative Evaluation Methods of Meteorological Public Service Benefit (11CGL100)."

Inhalt

1. Disaster probability, optimal government expenditure for disaster prevention and mitigation, and expected economic growth.- 2. Evaluation of Comprehensive Economic Loss of COVID-19 Epidemic Disaster Based on CGE Model.- 3. Natural disasters, economic growth and sustainable development in Chinaan empirical study using provincial panel data.- 4. Comprehensive economic loss assessment of disaster based on CGE Model and IO ModelA case study on Beijing 7.21 Rainstorm.- 5. What are the impacts of tropical cyclones on employment? An Analysis Based on Meta-regression.