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Evaluation Of Comprehensive Management Capability Of Meteorological Disasters In China Based On Triangular Whitening Weight Function

Posted on:2022-03-18Degree:MasterType:Thesis
Country:ChinaCandidate:Q Y TongFull Text:PDF
GTID:2510306539952009Subject:Management Science and Engineering
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In recent years,highly frequent extreme weather events are seriously threatening the steady advancement of China's society and economy;they adversely affect the safety and happiness of Chinese people's lives.The research on the index system of accurate disaster reliefs and meteorological disaster management will help various government departments strengthen their effectiveness to reduce the severity of social consequences of meteorological disasters and improve their comprehensive capacity to manage meteorological disasters.This paper uses meteorological data of 31 provinces from 2014 to 2018,and analyses the comprehensive meteorological disaster management capacity of 31 provinces in China by constructing a comprehensive meteorological disaster management capacity assessment index system,using triangular whitening weight function,entropy method and deviation maximisation method,respectively;and explores the driving factors of comprehensive meteorological disaster management capacity by using two-way fixed effects model and generalised least squares model,respectively.In addition,this paper gives a histogram of the capacity for integrated weather hazard management.Based on the above studies,the paper draws the following conclusions and policy recommendations:(1)The results of the grey clustering assessment of the triangular whitening weight function for the comprehensive management capacity of meteorological disasters in China show that: The comprehensive management ability of meteorological disasters in China is weak on the whole,which is higher in East China,average in South China and Central China,and lower in North China and Northwest China.(2)Multi-attribute decision modelling of multiple assessments of integrated weather disasters management capacity reveals that: The results of the comprehensive weather disasters management capacity assessment based on the triangular whitening weight function and the selection of the triangular whitening weight function assessment method are reasonable,and the ranking of each province's comprehensive meteorological disaster management capacity,calculated by the entropy value method and the deviation maximisation method,allows for an intuitive comparison of individual provinces,making up for the shortcomings of the assessment results based on the triangular whitening weight function.It can be seen from the histogram of China's comprehensive meteorological disaster management ability evaluation that from 2014 to 2018 there are more red areas,light green areas began to appear in 2016,dark green areas began to appear in 2017,and green areas increased in 2018.This also shows that although China's comprehensive meteorological disaster management ability is weak in the past five years,it has been improved with time.(3)The analysis of the drivers of China's comprehensive meteorological disaster management capacity shows that: On the whole,The following factors which have positive effects on the comprehensive management ability of meteorological disasters in China are the cumulative number of local meteorological disaster standards and the supply of meteorological services for provincial decision-making.While the negative factors are Per capita GDP,number of comprehensive disaster reduction demonstration zones,and popularization of meteorological knowledge.The regression results for the sub-region show that,in the eastern region,the cumulative number of local meteorological hazard standards and meteorological services supplied for provincial decision-making can help improve the capacity for integrated meteorological hazard management;in the central region,the level of economic development can help improve the capacity for integrated meteorological disaster management;in the western region,the level of economic development and the accumulation of local weather hazard standards can help improve the capacity for comprehensive meteorological disaster.
Keywords/Search Tags:Meteorological disaster, Comprehensive governance capability, Triangular whitening weight function, Grey cluster analysis
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