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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/80872

    Title: 空氣污染下民眾避免行為 -以口罩及動物園入園人數為例
    Authors: 趙莉庭;Chao, Li-Ting
    Contributors: 產業經濟研究所
    Keywords: 空氣汙染;避免行為;特徵價格模型;Box-Cox轉換
    Date: 2019-07-13
    Issue Date: 2019-09-03 15:12:58 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 空氣污染日益嚴重,短期內無法改善空氣品質,民眾可透過避免行為來減少空氣污染對健康的負面影響。本研究使用2018年3月至2019年1月線上購物網站之口罩資料及臺北市立動物園提供2010年10月至2018年11月(每年10月至隔年3月)之入園人數資料進行分析。
    ;Air pollution is becoming more and more serious, and air quality can’t be improved in the short term. People can avoid the negative impact of air pollution on health by avoiding behavior. This study used the facemask data of the online shopping website from March 2018 to January 2019 and the Taipei Zoo to provide data of visits rate from October 2010 to November 2018.
    In this study, the model is divided into two parts. One-part use hedonic price models that the price of a product reflects embodied characteristics valued by some implicit prices. The other part uses the Box-Cox model to analyze the price of the facemask characteristics implicit influence. The behavioral part of outdoor activities uses a semi-log model and a Box-Cox model to analyze the impact of air quality on people′s outdoor activities.
    The hedonic price model results show that the anti-PM2.5 function, the N95 standard and the number of facemasks have a significant positive effect on the facemask price. The Box-Cox model results show that the anti-PM2.5 function and the N95 standard have the highest positive implied price for the facemask; the bacterial filtration effect greater than 90% has a negative implied price for the facemask price. The results of the semi-log model showed that the concentration of PM2.5 had a significant effect on the total visits rate, and the impact on the number of people purchasing the group ticket and the number of free ticket was not significant. Box-Cox model results show that holidays have a positive impact on most people groups. It only has a negative impact on the number of people purchasing the group ticket. The weather factor has a greater impact on the number of people who purchase the full ticket and the number of free ticket.
    Appears in Collections:[產業經濟研究所] 博碩士論文

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