Economic impacts and emergency management of disasters in China
著者
書誌事項
Economic impacts and emergency management of disasters in China
Springer, c2021
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注記
Includes bibliographical references
内容説明・目次
内容説明
This book 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, 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.
目次
Section 1 Disaster and economic development
-Chapter 1. Disaster probability, optimal government expenditure for disaster prevention and mitigation, and expected economic growth.
Authors: Xianhua Wu, Zhijie Wang, Ji Guo.
-Chapter 2. Evaluation of Comprehensive Economic Loss of COVID-19 Epidemic Disaster Based on CGE Model.
Authors: Xianhua Wu, Ernesto D.R. Santibanez Gonzalez, Ling Tan, Ji Guo.
-Chapter 3. Natural disasters, economic growth and sustainable development in China an empirical study using provincial panel data.
Authors: Ji Guo,Hui Liu,Xianhua Wu.
-Chapter 4. Comprehensive economic loss assessment of disaster based on CGE Model and IO Model-A case study on Beijing "7.21 Rainstorm".
Authors: Tan ling, Xianhua Wu, Zeshui.
-Chapter 5. What are the impacts of tropical cyclones on employment? -An Analysis Based on Meta-regression.
Authors: Xianhua Wu, Hui Liu, Ji Guo.
-Chapter 6. Impacts of Typhoons on Local Labor Markets based on GMM: An Empirical Study of Guangdong Province, China.
Authors: Xianhua Wu, Zhou Lei, Guo Ji.
Section 2 Disaster emergency management
-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.
Authors: Xianhua Wu, Lei Zhou, Ji Guo.
-Chapter 8. Finding of urban rainstorm and waterlogging disasters based on microblogging data and the Location-Routing Problem Model of Urban Emergency Logistics.
Authors: Xianhua Wu, Yaru Cao, Yang Xiao.
-Chapter 9. A new economic loss assessment system for urban severe rainfall and flooding disasters based on big data fusion.
Authors: Ji Guo, Xianhua Wu.
-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.
Authors: Ji Guo, Xianhua Wu.
-Chapter 11. Determining the amount of international aid that countries should donate after a disaster to alleviate sustainable implications: A new framework for analysis.
Authors: Xianhua Wu, Ji Guo.
-Chapter 12. On the Amount of Counterpart Assistance to be Provided after Natural Disasters: From the Perspective of Indirect Economic Loss Assessment.
Authors: Xianhua Wu, Ji Guo.
-Chapter 13. Relationship among Public Cognition, Perceived Value, and Meteorological Service Satisfaction.
Authors: Xianhua Wu, Ji Guo.
-Chapter 14. A Comprehensive Estimation of the Economic Effects of Meteorological Services Based on the Input-Output Method.
Authors: Xianhua Wu, Ji Guo.
Section 3 Emission reallocation of air pollution
-Chapter 15. Effect of Air Pollution on the Stock Yield of Heavy Pollution Enterprises in China's Key Control Cities.
Authors: Xianhua Wu, Shanshan Chen, Ji Guo.
-Chapter 16. Economic losses and willingness to pay for haze: the data analysis based on 1123 residential families in Jiangsu province, China.
Authors: Xianhua Wu, Ji Guo.
-Chapter 17. Spatial Concentration, Impact Factors and Prevention-control Measures of PM2.5 Pollution in China.
Authors: Xianhua Wu, Yufeng Chen, Ji Guo.
-Chapter 18. Study of haze emission efficiency based on new co-opetition data envelopment analysis.
Authors: Xianhua Wu, Yufeng Chen, Ji Guo.
-Chapter 19. Inputs optimization to reduce the undesirable outputs by environmental hazards: a DEA model with data of PM2.5 in China.
Authors: Xianhua Wu, Yufeng Chen, Ji Guo.
-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.
Authors: Xianhua Wu, Ling Tan, Ji Guo.
Section 4 Environmental Performance Evaluation
-Chapter 21. Efficiency evaluation and particulate matter emission reallocation of China ports.
Authors: Zhijie Wang,Xianhua Wu, Ji Guo.
-Chapter 22. Study on Environment Performance Evaluation and Regional Differences of Strictly-environmental-monitored Cities in China.
Authors: Ji Guo, Dongdong Zhu, Xianhua Wu.
-Chapter 23. Tendency of Embodied Carbon Change in the Export Trade of Chinese Manufacturing Industry from 2000 to 2015 and Its Driving Factors.
Authors: Ji Guo, Lei Zhou, Xianhua Wu.
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