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<p><b>Section 1 Disaster and economic development</b></p>

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<p>-Chapter 1. Disaster probability, optimal government expenditure for disaster prevention and mitigation, and expected economic growth. </p>

<p>Authors: Xianhua Wu, Zhijie Wang, Ji Guo. </p>

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<p>-Chapter 2. Evaluation of Comprehensive Economic Loss of COVID-19 Epidemic Disaster Based on CGE Model.</p>

<p>Authors: Xianhua Wu, Ernesto D.R. Santibanez Gonzalez, Ling Tan, Ji Guo.</p>

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<p>-Chapter 3. Natural disasters, economic growth and sustainable development in China―an empirical study using provincial panel data.&nbsp; </p>

<p>Authors: Ji Guo,Hui Liu,Xianhua Wu.</p>

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<p>-Chapter 4. Comprehensive economic loss assessment of disaster based on CGE Model and IO Model—A case study on Beijing “7.21 Rainstorm”. </p>

<p>Authors: Tan ling, Xianhua Wu, Zeshui.</p>

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<p>-Chapter 5. What are the impacts of tropical cyclones on employment? –An Analysis Based on Meta-regression. </p>

<p>Authors: Xianhua Wu, Hui Liu, Ji Guo.</p>

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<p>-Chapter 6. Impacts of Typhoons on Local Labor Markets based on GMM: An Empirical Study of Guangdong Province, China. </p>

<p>Authors: Xianhua Wu, Zhou Lei, Guo Ji.</p>

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<b>Section 2&nbsp; Disaster emergency management</b><p></p>

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<p>-Chapter 7. Urban flood depth-economic loss curves and their amendment based on resilience: Evidence from Lizhong Town in Lixia River and Houbai Town in Jurong River of China. </p>

<p>Authors: Xianhua Wu, Lei Zhou, Ji Guo. </p>

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<p>-Chapter 8. Finding of urban rainstorm and waterlogging disasters based on microblogging data and the Location-Routing Problem Model of Urban Emergency Logistics. </p>

<p>Authors: Xianhua Wu, Yaru Cao, Yang Xiao.</p>

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<p>-Chapter 9. A new economic loss assessment system for urban severe rainfall and flooding disasters based on big data fusion. </p>

<p>Authors: Ji Guo, Xianhua Wu.</p>

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<p>-Chapter 10. Design of temperature insurance index and risk zonation for single-season rice in response to high-temperature and low-temperature damage: a case study of jiangsu province, china. </p>

<p>Authors: Ji Guo, Xianhua Wu.</p>

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<p>-Chapter 11. Determining the amount of international aid that countries should donate after a disaster to alleviate sustainable implications: A new framework for analysis. </p>

<p>Authors: Xianhua Wu, Ji Guo.</p>

<p>-Chapter 12. On the Amount of Counterpart Assistance to be Provided after Natural Disasters: From the Perspective of Indirect Economic Loss Assessment. </p>

<p>Authors: Xianhua Wu, Ji Guo.</p>

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<p>-Chapter 13. Relationship among Public Cognition, Perceived Value, and Meteorological Service Satisfaction. </p>

<p>Authors: Xianhua Wu, Ji Guo.</p>

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<p>-Chapter 14. A Comprehensive Estimation of the Economic Effects of Meteorological Services Based on the Input-Output Method. </p>

<p>Authors: Xianhua Wu, Ji Guo.</p>

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<p><b>Section 3&nbsp; Emission reallocation of air pollution</b></p>

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<p>-Chapter 15. Effect of Air Pollution on the Stock Yield of Heavy Pollution Enterprises in China's Key Control Cities. </p>

<p>Authors: Xianhua Wu, Shanshan Chen, Ji Guo.</p>

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<p>-Chapter 16. Economic losses and willingness to pay for haze: the data analysis based on 1123 residential families in Jiangsu province, China. </p>

<p>Authors: Xianhua Wu, Ji Guo. </p>

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<p>-Chapter 17. Spatial Concentration, Impact Factors and Prevention-control Measures of PM2.5 Pollution in China. </p>

<p>Authors: Xianhua Wu, Yufeng Chen, Ji Guo.</p>

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<p>-Chapter 18. Study of haze emission efficiency based on new co‐opetition data envelopment analysis. </p>

<p>Authors: Xianhua Wu, Yufeng Chen, Ji Guo.</p>

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<p>&nbsp;-Chapter 19. Inputs optimization to reduce the undesirable outputs by environmental hazards: a DEA model with data of PM2.5 in China. </p>

<p>Authors: Xianhua Wu, Yufeng Chen, Ji Guo.</p>

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<p>-Chapter 20. A Study of Allocative Efficiency of Air Pollutant Emission Rights Based on a Zero Sum Gains Data Envelopment Model: Taking PM2.5 as an Example. </p>

<p>Authors: Xianhua Wu, Ling Tan, Ji Guo.</p>

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<p><b>Section 4&nbsp; Environmental Performance Evaluation</b></p>

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<p>-Chapter 21. Efficiency evaluation and particulate matter emission reallocation of China ports. </p>

<p>Authors: Zhijie Wang，Xianhua Wu, Ji Guo.</p>

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<p>-Chapter 22. Study on Environment Performance Evaluation and Regional Differences of Strictly-environmental-monitored Cities in China. </p>

<p>Authors: Ji Guo, Dongdong Zhu, Xianhua Wu.</p>

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<p>-Chapter 23. Tendency of Embodied Carbon Change in the Export Trade of Chinese Manufacturing Industry from 2000 to 2015 and Its Driving Factors. </p>

<p>Authors: Ji Guo, Lei Zhou, Xianhua Wu.</p>

<p>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&nbsp;<i>Annals of Operational Research,&nbsp;Science of the Total Environment, Environmental Research, Transportation Research Part D: Transport and Environment</i>&nbsp;and others.</p>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.<p></p><p> </p><p>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&nbsp;<i>Annals of Operational Research, Environmental Hazards, Journal of International Trade & Economic Development, Journal of Cleaner Production, Weather, Climate and Society</i>&nbsp;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).”</p><p></p>

<p>This book uses cutting-edge methods, such as big data mining methods on social media, generalized difference&nbsp;in&nbsp;difference, inoperational input–output models, improved data envelopment analysis, improved computable general equilibrium&nbsp;and others to calculate the economic impacts of climate&nbsp;and&nbsp;environmental disasters on China. This book&nbsp;provides the ideas, methods and cases of the redistribution of air pollution emissions in China through&nbsp;evaluating&nbsp;the benefits of meteorological disaster services and meteorological financial insurance.&nbsp;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.</p>

<p>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.</p><p></p>

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