Estimating the Economic Impacts of Dust Storm on Respiratory Disease under Climate Change
碩士 === 國立中興大學 === 應用經濟學系所 === 99 === The major purpose of this thesis is to estimate the economic impacts of dust storm on respiratory disease in Taiwan. A two-stage least square approach is applied to analyze the correlation between PM10 and mortality of respiratory diseases under the outbreak of d...
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ndltd-TW-099NCHU54120102018-04-10T17:21:05Z http://ndltd.ncl.edu.tw/handle/5cexmr Estimating the Economic Impacts of Dust Storm on Respiratory Disease under Climate Change 氣候變遷下沙塵暴對呼吸系統疾病之經濟影響 Chih-Wei Huang 黃志偉 碩士 國立中興大學 應用經濟學系所 99 The major purpose of this thesis is to estimate the economic impacts of dust storm on respiratory disease in Taiwan. A two-stage least square approach is applied to analyze the correlation between PM10 and mortality of respiratory diseases under the outbreak of dust storm. The empirical results show that there is significantly positive correlation between PM10 and the mortality of respiratory diseases. Taking the most serious north region as an example, the empirical outcome shows the respiratory disease mortality will increase by 0.2828 people when concentration of PM10 increases by 1 μg/m3. Later, the alternative frequency of dust storm is simulated in order to estimate the potential effects of dust storm on the mortality of respiratory diseases. To estimate the economic loss of such effects due to the increasing frequency of dust storm, a metal-analysis using Multi-Level Model approach is applied. The empirical results indicate that the economic loss of dust storm by different frequency for each year is ranged from 6.059 NT$ billion to 24.235 NT$ billion. Chi-Chung Chen 陳吉仲 2011 學位論文 ; thesis 75 zh-TW |
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碩士 === 國立中興大學 === 應用經濟學系所 === 99 === The major purpose of this thesis is to estimate the economic impacts of dust storm on respiratory disease in Taiwan. A two-stage least square approach is applied to analyze the correlation between PM10 and mortality of respiratory diseases under the outbreak of dust storm.
The empirical results show that there is significantly positive correlation between PM10 and the mortality of respiratory diseases. Taking the most serious north region as an example, the empirical outcome shows the respiratory disease mortality will increase by 0.2828 people when concentration of PM10 increases by 1 μg/m3. Later, the alternative frequency of dust storm is simulated in order to estimate the potential effects of dust storm on the mortality of respiratory diseases. To estimate the economic loss of such effects due to the increasing frequency of dust storm, a metal-analysis using Multi-Level Model approach is applied. The empirical results indicate that the economic loss of dust storm by different frequency for each year is ranged from 6.059 NT$ billion to 24.235 NT$ billion.
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Chi-Chung Chen |
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Chi-Chung Chen Chih-Wei Huang 黃志偉 |
author |
Chih-Wei Huang 黃志偉 |
spellingShingle |
Chih-Wei Huang 黃志偉 Estimating the Economic Impacts of Dust Storm on Respiratory Disease under Climate Change |
author_sort |
Chih-Wei Huang |
title |
Estimating the Economic Impacts of Dust Storm on Respiratory Disease under Climate Change |
title_short |
Estimating the Economic Impacts of Dust Storm on Respiratory Disease under Climate Change |
title_full |
Estimating the Economic Impacts of Dust Storm on Respiratory Disease under Climate Change |
title_fullStr |
Estimating the Economic Impacts of Dust Storm on Respiratory Disease under Climate Change |
title_full_unstemmed |
Estimating the Economic Impacts of Dust Storm on Respiratory Disease under Climate Change |
title_sort |
estimating the economic impacts of dust storm on respiratory disease under climate change |
publishDate |
2011 |
url |
http://ndltd.ncl.edu.tw/handle/5cexmr |
work_keys_str_mv |
AT chihweihuang estimatingtheeconomicimpactsofduststormonrespiratorydiseaseunderclimatechange AT huángzhìwěi estimatingtheeconomicimpactsofduststormonrespiratorydiseaseunderclimatechange AT chihweihuang qìhòubiànqiānxiàshāchénbàoduìhūxīxìtǒngjíbìngzhījīngjìyǐngxiǎng AT huángzhìwěi qìhòubiànqiānxiàshāchénbàoduìhūxīxìtǒngjíbìngzhījīngjìyǐngxiǎng |
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1718625879790190592 |