Economic Impacts and Emergency Management of Disasters in China

✍ Scribed by Xianhua Wu, Ji Guo

• Publisher: Springer
• Year: 2021
• Tongue: English
• Leaves: 704
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Economic Impacts and Emergency Management of Disasters in China
Contents
Part I Disaster and Economic Development
1 Disaster Probability, Optimal Government Expenditure for Disaster Prevention and Mitigation, and Expected Economic Growth
1.1 Introduction
1.2 Literature Review
1.3 Method and Model
1.3.1 Principle of Model
1.3.2 Model Building
1.3.3 Model Solution
1.4 Numerical Simulation and Result Analysis
1.4.1 Parameter Setting
1.4.2 Impact of Risk Aversion Coefficient
1.4.3 Impacts of Other Parameters
1.5 Case Study
1.5.1 Flood Disasters in Hunan Province
1.5.2 Parameter Estimation of CES Production Function
1.5.3 Estimation and Simulation Results of Other Parameters
1.6 Conclusions and Policy Suggestions
Appendix: The Value Function of the Residents’ Utility
Solving the Optimal Disaster Prevention and Mitigation Policy
Substitute Elasticity Derivation of CES Production Function
Conversion of CES Function Form
Constraint Conditions
Data
Expected Growth Rate ( Eg ) Under Different Risk Aversion Coefficients (γ)
References
2 A Multi-scale Periodic Study of PM2.5 Concentration in the Yangtze River Delta of China Based on Empirical Mode Decomposition-Wavelet Analysis
2.1 Introduction
2.2 Literature Review
2.2.1 Periodic Study of PM2.5
2.2.2 Quantitative Analysis Method of Periodicity of Time Series
2.3 Research Methods
2.3.1 Empirical Mode Decomposition
2.3.2 Wavelet Analysis
2.4 Model Design and Data Description
2.4.1 Model Design
2.4.2 Data Description
2.5 Empirical Analysis
2.5.1 Periodic Analysis of Daily PM2.5 Concentration in the Yangtze River Delta Region
2.5.2 Comprehensive Analysis of Empirical Results Based on the EMD-WA Model
2.5.3 Short Periodic Analysis in Yangtze River Delta During Heavy Haze
2.5.4 Short Periodic Analysis in Yangtze River Delta During Heavy Haze
2.6 Conclusion and Outlook
References
3 Natural Disasters and Economic Growth―An Empirical Study Using Provincial Panel Data of China
3.1 Introduction
3.2 Data and Hypotheses
3.3 The Empirical Analysis
3.4 Conclusions
References
4 Comprehensive Economic Loss Assessment of Disaster Based on CGE Model and IO model—A Case Study on Beijing “7.21 Rainstorm”
4.1 Introduction
4.2 Literature Review
4.3 Model Building
4.3.1 Structure of CGE Model
4.3.2 Structure of IO Model
4.4 Case Introduction and Data Sources
4.4.1 Case Introduction
4.4.2 Data Sources
4.5 Analysis on the Comprehensive Economic Loss of Rainstorm
4.5.1 Analysis Based on CGE Model
4.5.2 Analysis Based on IO Model
4.5.3 Comparison of Assessment Results of CGE Model and IO Model
4.6 Sensitivity Analysis
4.7 Conclusions and Prospect
4.8 Appendix: Values of Related Parameters
4.9 Construction of CGE Model
References
5 Impacts of Tropical Cyclones on Employment—An Analysis Based on Meta-regression
5.1 Introduction
5.2 The Mechanism and Research Hypothesis of Disasters Affecting the Employment
5.2.1 Changes in Labor Supply Under Disaster Conditions
5.2.2 Changes in Labor Demand Under Disaster Conditions
5.2.3 Labor Market Segmentation Theory
5.2.4 Disaster Attributes
5.3 Explanation of Research Methods, Data and Variables
5.3.1 Research Methods
5.3.2 The Data
5.3.3 Variables Description
5.4 Results of Meta-regression Analysis
5.4.1 The Impact of Tropical Cyclones on the Direction of Employment Quantity Change
5.4.2 Impact of Tropical Cyclones on Intensity of Employment Quantity Change
5.4.3 The Impact of Tropical Cyclones on the Direction of Employee Remuneration
5.4.4 The Impact of Tropical Cyclones on the Intensity of Employee Remuneration Change
5.4.5 Robustness Analysis
5.5 Conclusion and Discussion
References
6 Impacts of Ttyphoons on Local Labor Markets Based on GDD: An Empirical Study of Guangdong Province, China
6.1 Introduction
6.2 Methods, Data and Variable Descriptions
6.2.1 Methods
6.2.2 Data
6.2.3 Variable Descriptions
6.3 Empirical Analysis
6.3.1 General Effect of Typhoons on Labor Market
6.3.2 Regional Effect of Typhoons on Labor Market
6.3.3 Intensity Effect of Typhoons on Labor Market
6.3.4 Time Effect of Typhoons on Labor Market
6.4 Conclusions and Discussions
References
Part II Disaster Emergency Management
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
7.1 Introduction
7.2 Overview of the Research Area
7.2.1 Lizhong Town
7.2.2 Houbai Town
7.3 Disaster Scenario, Data and Methodology
7.3.1 Disaster Scenario
7.3.2 Data Descriptions
7.3.3 Research Approaches
7.3.4 Assessment of Flood Damage for Receptors in Agriculture
7.4 Results
7.4.1 Flood Depth-Damage Curves of Residential Indoor Property from Different Incomes
7.4.2 Receptors’ Damage Rate Regression Functions
7.4.3 Receptors Flood Depth-Damage Rate Curves
7.5 Conclusion
References
8 Finding of Urban Rainstorm and Waterlogging Disasters Based on Microblogging Data and the Location-Routing Problem Model of Urban Emergency Logistics
8.1 Introduction
8.2 Literature Review
8.2.1 Disaster Information Extraction of Microblogs
8.2.2 Emotion Analysis of Microblogs
8.2.3 Urban Emergency Logistics in Waterlogging Disasters
8.3 Obtainment of Disaster Information via Microblogging Data
8.3.1 Research Steps
8.3.2 Research Methods
8.3.3 Empirical Results
8.4 Construction of Location-Routing Problem Model
8.4.1 Problem Description
8.4.2 Basic Hypotheses and Symbol Description
8.4.3 Model Establishing
8.5 Stimulation Application
8.5.1 Algorithm
8.5.2 Application Background Analysis
8.5.3 Data Collecting and Dealing
8.5.4 Solution to Model Application
8.6 Conclusion
Appendix
References
9 A New Economic Loss Assessment System for Urban Severe Rainfall and Flooding Disasters Based on Big Data Fusion
9.1 Introduction
9.2 Literature Review
9.2.1 Evaluation Direct Economic Losses of Meteorological Disasters
9.2.2 Indirect Economic Losses Evaluation of Meteorological Disasters
9.2.3 Big Data Fusion and its Application to Meteorological Disasters
9.3 Construction Plans
9.3.1 System Architecture
9.3.2 Data Organization
9.4 Models and Data
9.4.1 Rainfall—Flood Depth Assessment Model
9.4.2 Direct Economic Loss Assessment of Disasters
9.4.3 Indirect Economic Loss Assessment of Disasters
9.4.4 Data and Database
9.5 Case Analysis
9.5.1 “8.29” Rainstorm and Flooding Disaster of Shenzhen in 2018
9.5.2 Economic Loss Assessment of the “8.29” Rainstorm Disasters of Shenzhen in 2018
9.5.3 Countermeasures of the “8.29” Rainstorm and Flooding Disaster of Shenzhen in 2018
9.6 Conclusions
Appendix
References
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
10.1 Introduction
10.2 Research Summary
10.3 Research Data and Methods
10.3.1 Data Sources
10.3.2 Determination of Weather Production and Yield Reduction
10.3.3 Weather Index Selection and Design
10.3.4 Design of Single-Season Rice Temperature Index-Based Insurance in Jiangsu
10.4 Results and Analysis
10.4.1 Regression Analysis
10.4.2 Analysis on the Pure Insurance Premium Rate of Cities in Jiangsu Under the Deductibles at All Levels
10.5 Conclusions and Discussions
10.5.1 Research Conclusion
10.5.2 Research Prospect
References
11 Determining the Amount of Sustainable International Aid that Countries Should Donate After Disaster: A New Frame, Indices and Method
11.1 Introduction
11.2 Literature Review
11.2.1 International Aid After Disaster
11.2.2 Estimations of Indirect Economic Loss Caused by Disasters
11.3 Definitions, Steps and Indices
11.3.1 Working Definitions
11.3.2 Research Steps
11.3.3 Evaluative Indices for Recommending the Amount of Aid
11.4 Input-Output Model
11.5 Case and Data
11.5.1 Case Introduction
11.5.2 Data Description
11.6 Empirical Analysis
11.6.1 Analysis of Aid Situation
11.6.2 Recommendation of Aid Amount
11.7 Conclusion
11.7.1 Implication and Contribution
11.7.2 Limitation and Prospective
References
12 Effectively Managing Counterpart Support Aid, for Damages Incurred from Natural Disasters, by Utilizing the Indirect Economic Losses
12.1 Background
12.1.1 Existing Problems
12.1.2 Approach for Identifying and Solving the Problem
12.2 Literature: Evaluation of Indirect Economic Losses and Resilience
12.2.1 Indirect Economic Losses
12.2.2 Evaluation of Resilience
12.3 Models, Indicators and Data Specification
12.3.1 The Inter-regional Input-Output Model
12.3.2 Resilience Index of Provincial Economic Systems
12.3.3 PCA and Counterpart Support Evaluation Index
12.3.4 Data Specification
12.4 The Empirical Analysis
12.5 Internal Validity and External Validity
12.6 Conclusions
References
13 The Relationship Among Public Cognition, Perceived Value, and Meteorological Service Satisfaction
13.1 Introduction
13.2 Method
13.2.1 Structural Equation Model (SEM)
13.2.2 Variables and Hypotheses
13.2.3 Samples and Data
13.2.4 Reliability and Validity Tests of the Questionnaire
13.3 Results
13.4 Discussion
13.5 Implications for Conservation
References
14 A Comprehensive Estimation of the Economic Effects of Meteorological Services, Based on the Input-Output Method
14.1 Introduction
14.2 Concepts, Principles and Hypotheses
14.2.1 Definition of Concepts
14.2.2 Principle of the Input-Output Table
14.2.3 Hypotheses of Input-Output Model
14.3 Estimation Models of Associated, Indirect and Complete Economic Effects
14.3.1 Estimation Models of Associated Economic Effects
14.3.2 Estimation Model of Indirect Economic Effect
14.3.3 Estimation Model of Complete Economic Effect
14.4 The Empirical Analysis of Meteorological Service Effects in Jiangxi Province
14.4.1 Sample and Data
14.4.2 Results and Analysis
14.5 Concluding Remarks
Appendix
References
Part II Disaster Emergency Management
15 Effect of Air Pollution on the Stock Yield of Heavy Pollution Enterprises in China’s Key Control Cities Under Climate Change
15.1 Introduction
15.2 Literature Review
15.3 Introduction to Indices and Data
15.4 Empirical Model, Results and Analysis
15.4.1 Empirical Model
15.4.2 Empirical Results and Analysis
15.4.3 Robustness Test
15.5 Conclusions
References
16 Economic Losses and Willingness to Pay for Haze: The Data Analysis Based on 1123 Residential Families in Jiangsu Province, China
16.1 Introduction
16.1.1 Literatures About Economic Losses of Haze
16.1.2 Willingness to Pay and Its Application in Haze Reduction
16.1.3 Willingness to Pay and Its Application in Other Aspects of Environmental
16.2 Methods and Models
16.2.1 Direct Loss Measurement (DLM)
16.2.2 Application of Binary Logistic Regression and WTP in Other Fields
16.2.3 Willingness to Pay (WTP)
16.3 Questionnaire Design, Survey Area and Data Collection
16.3.1 Questionnaire Design
16.3.2 Survey Areas
16.3.3 Survey Participants
16.4 Empirical Analysis
16.4.1 Loss Caused by Haze
16.4.2 Analysis of the Factors that Affect WTP
16.5 Discussion on the Validation of the Model
16.6 Conclusions and Discussions
16.6.1 Conclusions
16.6.2 Discussions
References
17 Spatial Concentration, Impact Factors and Prevention-Control Measures of PM2.5 Pollution in China
17.1 Introduction
17.2 Spatial Correlation Analysis of PM2.5 Concentrations
17.2.1 Data
17.2.2 Present Status of PM2.5 Concentrations
17.2.3 Global Spatial Correlation
17.2.4 Local Spatial Correlation
17.3 Analysis of Spatial Influential Factors of PM2.5 Concentrations
17.3.1 Data
17.3.2 Model Setting
17.3.3 Results of Empirical Analysis
17.4 Concluding Remarks
References
18 Study of Haze Emission Efficiency Based on New Co-opetition DEA
18.1 Introduction
18.2 Literature Review
18.2.1 Evaluation of Emission Efficiency of Air Pollutants
18.2.2 Spatial Spillover Effect
18.2.3 Cross-Efficiency Evaluation Method
18.3 Co-opetition Dea Model Construction
18.3.1 Traditional Cross-Efficiency DEA Model
18.3.2 Co-opetition DEA model
18.3.3 Construction of Co-opetition Matrix
18.4 Empricial Analysis
18.4.1 Indicator Selection
18.4.2 Co-opetition Matrix
18.5 Empirical Results
18.5.1 Evaluation and Analysis of Results
18.5.2 Method Validity Analysis
18.6 Conclusions
References
19 Inputs Optimization to Reduce the Undesirable Outputs by Environmental Hazards: A DEA Model with Data of PM2.5 in China
19.1 Introduction
19.2 Literature Review
19.2.1 DEA and Its Application
19.2.2 Components and Sources of PM2.5
19.3 Model and Indicators
19.3.1 Non-radial Ultra-efficient DEA Model
19.3.2 The Input Redundancy and Redundancy Rate of DEA
19.3.3 Index Selection
19.4 Empirical Analysis
19.4.1 Data Sources and Data Selection
19.4.2 Results of Empirical Analysis
19.5 Conclusions and Policy Recommendations
References
20 A Study of Allocative Efficiency of PM2.5 Emission Rights Based on a Zero Sum Gains Data Envelopment Model
20.1 Introduction
20.2 Literature Review
20.2.1 Emission Right Trading Research
20.2.2 Research on the Allocation of Emission Rights of Air Pollutants
20.2.3 The ZSG-DEA Model
20.3 Model Setting, Data Source and Index Selection
20.3.1 Model Setting
20.3.2 Data Source and Index Selection
20.4 Analysis of Empirical Results
20.5 Conclusion and Implication
References
Part IV Environmental Performance Evaluation
21 Efficiency Evaluation and PM Emission Reallocation of China Ports Based on Improved DEA Models
21.1 Introduction
21.2 Literature Review
21.3 Model
21.3.1 Environmental Technology
21.3.2 Previous Industry Emission Target Model
21.3.3 Previous Spatial Allocation Model
21.3.4 The Comprehensive Production Model
21.3.5 The Comprehensive Emission Model
21.3.6 The Comprehensive Reallocation Model
21.4 Case Study
21.4.1 Description of Case Ports
21.4.2 Data Collection
21.4.3 Results and Discussions
21.5 Conclusion
Appendix
A1 Abbreviation
Data Sources
References
22 Study on Environment Performance Evaluation and Regional Differences of Strictly-Environmental-Monitored Cities in China
22.1 Introduction
22.2 Related Work and Literature Review
22.3 Model, Indexes and Data
22.3.1 DEA Model
22.3.2 T-test
22.3.3 Indexes
22.3.4 Data
22.4 Empirical Result and Discussion
22.4.1 Empirical Results
22.4.2 Overall Analysis on Environment Performance
22.4.3 Regional Environment Performance Analysis
22.4.4 Differences Between Regional Environment Performances
22.5 Conclusion and Suggestion
Appendix
References
23 Tendency of Embodied Carbon Change in the Export Trade of Chinese Manufacturing Industry from 2000 to 2015 and Its Driving Factors
23.1 Introduction
23.2 Literature Review
23.3 Research Method
23.3.1 Input–Output Model Building
23.3.2 The Building of the Structural Decomposition Analysis Model
23.4 Data Sources and Processing
23.4.1 Input–Output Tables and Export Trade Statistics
23.4.2 Coefficient of Direct Carbon Emission in the Manufacturing Sector
23.4.3 Division
23.5 Result and Analysis of Embodied Carbon Calculation
23.5.1 Coefficient of Direct Carbon Emission
23.5.2 Coefficient of Complete Carbon Emission
23.5.3 The Embodied Carbon in the Export Trade on the Overall Level
23.5.4 The Embodied Carbon in the Export Trade on the Sectoral Level
23.6 The Technological, Structural and Scale Effect of Embodied Carbon
23.6.1 Three Kinds of Effect of Embodied Carbon
23.6.2 Decomposition of Sectoral Structure of Embodied Carbon
23.7 Conclusions and Inspirations
References