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研究生: 梁芸瑄
Liang, Yun-Hsuan
論文名稱: IMO2020限硫令對高雄港周邊空氣品質之影響
The impact of IMO 2020 fuel oil sulfur limit on air quality around Kaohsiung Port
指導教授: 林珮珺
Lin, Pei-Chun
學位類別: 碩士
Master
系所名稱: 管理學院 - 交通管理科學系
Department of Transportation and Communication Management Science
論文出版年: 2023
畢業學年度: 111
語文別: 中文
論文頁數: 53
中文關鍵詞: IMO2020限硫令時間序列分析差異中差異法
外文關鍵詞: IMO 2020 SULFUR REGULATION, SARIMA, DIFFERENCE-IN-DIFFERENCES
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  • 國際海事組織(IMO)為了減少硫氧化物的排放,實施更嚴格的硫含量限制,限硫令在2020年1月生效,在指定排放控制區外的船舶燃油硫含量限制從3.5%m/m降到0.5%m/m。我國交通部於2019年針對高雄港提前實施IMO低硫政策,故本研究探討臺灣實施IMO低硫政策是否有效降低港區船舶排放之二氧化硫等汙染物質。本研究探討航運中的硫排放標準對沿海地區空氣品質的影響,將運用SARIMA時間序列模型預測比較無實施低硫政策與實際觀測到的污染物濃度之間的差異,透過差異中差異法,以暴露於航運空氣汙染與海岸的接近程度作為區分,將距離高雄港第二港口最近之觀測站設定為實驗組,以外設定為對照組,基於此分組,比較限硫令前後實驗組及對照組,判斷低硫油政策實施對改善高雄港空氣品質效果是否顯著,研究結果顯示以2018年獎勵措施為切分點濃度降低約1.718ppb、2019年高雄港提前實施低硫政策約降低2.134ppb,而2020年全球強制實施降低約1.698ppb,表示高雄港之低硫政策確實對於實驗組測站有SO2具有顯著降低之影響表示使用低硫油對於高雄港改善二氧化硫濃度為有效政策,政府及港口當局可以持續監測港口的空氣污染物濃度,並制定相關的減排政策,以利空氣品質的改善與永續發展。

    To reduce sulfur oxide emissions, the International Maritime Organization (IMO) implemented stricter sulfur content limits. For all regions except designated emission control areas, the sulfur limit took effect in January 2020, reducing the sulfur content limit for ship fuels from 3.5% m/m to 0.5% m/m. In 2019, Taiwan implemented the IMO low sulfur policy ahead of schedule in Kaohsiung Port. This study investigates whether Taiwan's implementation of the IMO low sulfur policy effectively reduces emissions of sulfur dioxide from ships around Kaohsiung Port.
    The SARIMA time series model will be used to predict and compare the differences between pollution concentrations observed before the low sulfur policy implementation and actual observed concentrations. Applying the difference-in-differences methodology, this study uses the distance of exposure to shipping air pollution for differentiation. The observation station closest to the second port of Kaohsiung Port is designated as the experimental group, while others are included in the control group.
    The research result indicates that, based on the 2018 incentive measures as a breakpoint, an approximate reduction of 1.718 ppb in concentration was measured. The advance implementation of the low sulfur policy in Kaohsiung Port in 2019 resulted in a reduction of about 2.134 ppb, and the global mandatory implementation in 2020 led to a reduction of approximately 1.698 ppb. This demonstrates a significant decrease in SO2 levels at the experimental station due to the low sulfur policy in Kaohsiung Port. The use of low sulfur oil is shown to be an effective policy for improving sulfur dioxide concentration.

    摘要 ⅰ 目錄 ⅶ 表目錄 ⅷ 圖目錄 ⅸ 第一章 緒論 1 1.1研究背景 1 1.2研究動機 6 1.3研究目的 7 1.4研究流程 8 第二章 文獻回顧 9 2.1排放控制政策效果評估 9 2.2應用時間序列分析預測空氣品質 13 2.3差異中差異法應用於空氣汙染政策 16 第三章 研究方法 18 3.1資料來源 18 3.2時間序列分析 22 3.2.1去除季節性因素 22 3.2.2 ARIMA時間序列模型 23 3.3差異中差異法 28 3.3.1迴歸模型 30 3.3.2變數說明 31 第四章 結果與討論 32 4.1敘述性統計 32 4.2 ARIMA預測模型建立 34 4.2.1 資料處理 34 4.2.2 參數選取 37 4.2.3 模型診斷 39 4.2.4 模型預測 40 4.3 差異中差異實證模型 42 4.3.1 2018年獎勵措施之成效 42 4.3.2 2019年高雄港提前實施之成效 44 4.3.3 2020年全球限硫令對於高雄港之成效 46 第五章 結論與建議 48 5.1 結論 48 5.2 建議 49 參考文獻 50

    何泰寬. (2016). 中央銀行經濟研究處課程:SVAR 與反事實模擬. 中央銀行經濟研究處. https://homepage.ntu.edu.tw/~taikuangho/miscellaneous/CBC.pdf
    吳義林, 楊榮元, 葉雨松, & 許真瑜. (2016). 高雄港船舶污染減量措施對鄰近地區空氣品質提昇之效益評估. 港灣季刊(104), 16-28.
    羅愛雁. (2019). 影響評估之新方法─快速影響評估(Rapid Impact Evaluation). 國家實驗研究院. https://portal.stpi.narl.org.tw/index?p=article&id=4b1141427395c699017395c756b31fc1
    Abadie, A. (2005). Semiparametric difference-in-differences estimators. The Review of Economic Studies, 72(1), 1-19.
    Adan, H., & Fuerst, F. (2016). Do energy efficiency measures really reduce household energy consumption? A difference-in-difference analysis. Energy Efficiency, 9(5), 1207-1219.
    Ahamad, N. B., Othman, M., Vasquez, J. C., Guerrero, J. M., & Su, C.-L. (2018). Optimal sizing and performance evaluation of a renewable energy based microgrid in future seaports. 2018 IEEE international conference on industrial technology (ICIT),
    Akaike, H. (1974). A new look at the statistical model identification. IEEE transactions on automatic control, 19(6), 716-723.
    Andersen, Z. J., Loft, S., Ketzel, M., Stage, M., Scheike, T., Hermansen, M. N., & Bisgaard, H. (2008). Ambient air pollution triggers wheezing symptoms in infants. Thorax, 63(8), 710-716.
    Ashenfelter, O. C., & Card, D. (1984). Using the longitudinal structure of earnings to estimate the effect of training programs. In: National Bureau of Economic Research Cambridge, Mass., USA.
    Atkinson, R., Kang, S., Anderson, H., Mills, I., & Walton, H. (2014). Epidemiological time series studies of PM2. 5 and daily mortality and hospital admissions: a systematic review and meta-analysis. Thorax, 69(7), 660-665.
    Belbasis, L., Savvidou, M. D., Kanu, C., Evangelou, E., & Tzoulaki, I. (2016). Birth weight in relation to health and disease in later life: an umbrella review of systematic reviews and meta-analyses. BMC medicine, 14(1), 1-15.
    Card, D., & Krueger, A. B. (1993). Minimum wages and employment: A case study of the fast food industry in New Jersey and Pennsylvania. In: National Bureau of Economic Research Cambridge, Mass., USA.
    Chang, Y.-T., Park, H. K., Lee, S., & Kim, E. (2018). Have emission control areas (ECAs) harmed port efficiency in Europe? Transportation Research Part D: Transport and Environment, 58, 39-53.
    Finkelstein, A. (2002). The effect of tax subsidies to employer-provided supplementary health insurance: evidence from Canada. Journal of Public Economics, 84(3), 305-339.
    GAO. (2012). Designing Evaluations: 2012 Revision. US: United States Government Accountability Office Retrieved from https://www.gao.gov/assets/gao-12-208g.pdf
    Jonson, J. E., Gauss, M., Schulz, M., Jalkanen, J.-P., & Fagerli, H. (2020). Effects of global ship emissions on European air pollution levels. Atmospheric Chemistry and Physics, 20(19), 11399-11422.
    Khaniabadi, Y. O., Polosa, R., Chuturkova, R. Z., Daryanoosh, M., Goudarzi, G., Borgini, A., Tittarelli, A., Basiri, H., Armin, H., & Nourmoradi, H. (2017). Human health risk assessment due to ambient PM10 and SO2 by an air quality modeling technique. Process safety and environmental protection, 111, 346-354.
    Kontovas, C. A. (2020). Integration of air quality and climate change policies in shipping: The case of sulphur emissions regulation. Marine Policy, 113, 103815.
    Lam, J. S. L., & Li, K. X. (2019). Green port marketing for sustainable growth and development. Transport Policy, 84, 73-81.
    Li, K., Wu, M., Gu, X., Yuen, K. F., & Xiao, Y. (2020). Determinants of ship operators’ options for compliance with IMO 2020. Transportation Research Part D: Transport and Environment, 86, 102459.
    Liang, L., Wang, Z., & Li, J. (2019). The effect of urbanization on environmental pollution in rapidly developing urban agglomerations. Journal of cleaner production, 237, 117649.
    Lindgren, S. (2021). The coast is clear: Shipping emission standards, air quality and infant health. Transportation Research Part D: Transport and Environment, 100, 103067.
    Liu, T.-K., Sheu, H.-Y., & Tsai, J.-Y. (2014). Sulfur dioxide emission estimates from merchant vessels in a port area and related control strategies. Aerosol and Air Quality Research, 14(1), 413-421.
    Mahmud, A., Hixson, M., & Kleeman, M. (2012). Quantifying population exposure to airborne particulate matter during extreme events in California due to climate change. Atmospheric Chemistry and Physics, 12(16), 7453-7463.
    Megaritis, A., Fountoukis, C., Charalampidis, P., Denier Van Der Gon, H., Pilinis, C., & Pandis, S. (2014). Linking climate and air quality over Europe: effects of meteorology on PM 2.5 concentrations. Atmospheric Chemistry and Physics, 14(18), 10283-10298.
    Meyer, B. D. (1995). Natural and quasi-experiments in economics. Journal of business & economic statistics, 13(2), 151-161.
    Mohd, Z. I., Roziah, Z., Marzuki, I., & Muhd, S. L. (2009). Forecasting and time series analysis of air pollutants in several area of Malaysia. American Journal of Environmental Sciences, 5(5), 625-632.
    Newell, K., Kartsonaki, C., Lam, K. B. H., & Kurmi, O. (2018). Cardiorespiratory health effects of gaseous ambient air pollution exposure in low and middle income countries: a systematic review and meta-analysis. Environmental Health, 17(1), 1-14.
    Österman, C., Hult, C., & Praetorius, G. (2020). Occupational safety and health for service crew on passenger ships. Safety science, 121, 403-413.
    Qiu, L.-Y., & He, L.-Y. (2017). Can green traffic policies affect air quality? Evidence from a difference-in-difference estimation in China. Sustainability, 9(6), 1067.
    Saraçoğlu, H., Deniz, C., & Kılıç, A. (2013). An investigation on the effects of ship sourced emissions in Izmir Port, Turkey. The Scientific World Journal, 2013.
    Schwartz, J., & Marcus, A. (1990). Mortality and air pollution j london: a time series analysis. American journal of epidemiology, 131(1), 185-194.
    Song, L., & van Geenhuizen, M. (2014). Port infrastructure investment and regional economic growth in China: Panel evidence in port regions and provinces. Transport Policy, 36, 173-183.
    Spyrou, E. D., Tsoulos, I., & Stylios, C. (2022). Applying and Comparing LSTM and ARIMA to Predict CO Levels for a Time-Series Measurements in a Port Area. Signals, 3(2), 235-248.
    Stuart, E. A., Huskamp, H. A., Duckworth, K., Simmons, J., Song, Z., Chernew, M. E., & Barry, C. L. (2014). Using propensity scores in difference-in-differences models to estimate the effects of a policy change. Health Services and Outcomes Research Methodology, 14(4), 166-182.
    Tai, H.-H., & Chang, Y.-H. (2022). Reducing pollutant emissions from vessel maneuvering in port areas. Maritime Economics & Logistics, 24(3), 651-671.
    Taşpınar, F. (2015). Time series models for air pollution modelling considering the shift to natural gas in a Turkish city. CLEAN–Soil, Air, Water, 43(7), 980-988.
    Tyagi, P., Braun, D., Sabath, B., Henneman, L., & Dominici, F. (2020). Short-term change in air pollution following the COVID-19 state of emergency: A national analysis for the United States. medRxiv.
    von Ehrenstein, O. S., Aralis, H., Cockburn, M., & Ritz, B. (2014). In utero exposure to toxic air pollutants and risk of childhood autism. Epidemiology (Cambridge, Mass.), 25(6), 851.
    Wan, Z., Zhang, Q., Xu, Z., Chen, J., & Wang, Q. (2019). Impact of emission control areas on atmospheric pollutant emissions from major ocean-going ships entering the Shanghai Port, China. Marine pollution bulletin, 142, 525-532.
    Wang, P., Guo, H., Hu, J., Kota, S. H., Ying, Q., & Zhang, H. (2019). Responses of PM2. 5 and O3 concentrations to changes of meteorology and emissions in China. Science of the Total Environment, 662, 297-306.
    Wang, X. Y., Hu, W., & Tong, S. (2009). Long-term exposure to gaseous air pollutants and cardio-respiratory mortality in Brisbane, Australia. Geospatial health, 3(2), 257-263.
    Winebrake, J. J., Corbett, J., Green, E., Lauer, A., & Eyring, V. (2009). Mitigating the health impacts of pollution from oceangoing shipping: an assessment of low-sulfur fuel mandates. In: ACS Publications.
    Wu, P.-C., & Lin, C.-Y. (2020). Cost-benefit evaluation on promising strategies in compliance with low sulfur policy of IMO. Journal of Marine Science and Engineering, 9(1), 3.
    Zhang, Q., Zheng, Z., Wan, Z., & Zheng, S. (2020). Does emission control area policy reduce sulfur dioxides concentration in Shanghai? Transportation Research Part D: Transport and Environment, 81, 102289.
    Zhang, T., & Tang, M. (2021). The Impact of the COVID-19 pandemic on ambient air quality in China: A quasi-difference-in-difference approach. International Journal of Environmental Research and Public Health, 18(7), 3404.
    Zhang, Y., Eastham, S. D., Lau, A. K., Fung, J. C., & Selin, N. E. (2021). Global air quality and health impacts of domestic and international shipping. Environmental Research Letters, 16(8), 084055.
    Zhang, Y., Zhou, R., Chen, J., & Rangel-Buitrago, N. (2022). The effectiveness of emission control policies in regulating air pollution over coastal ports of China: Spatiotemporal variations of NO2 and SO2. Ocean & Coastal Management, 219, 106064.

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