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    Title: 政策效率與公平之權衡-以運具脫碳為例
    The Discretion of Policy Efficiency and Equity: A Case Study of Decarbonizing Transportation
    Authors: 陳樹儒
    Chen, Shu-Ju
    Contributors: 蕭代基
    Shaw, Dai-Gee
    陳樹儒
    Chen, Shu-Ju
    Keywords: 綠色運具政策
    碳稅及能源稅
    貨物稅補貼
    E3ME模型
    所得分配
    Green Transportation Policy
    Carbon Tax and Energy Tax
    Commodity Tax Subsidies
    E3ME Model
    Income Distribution
    Date: 2024
    Issue Date: 2024-09-04 14:44:29 (UTC+8)
    Abstract: 運具脫碳政策之目的係為解決空氣汙染及氣候變遷問題。運具脫碳能改善空氣品質進而降低罹患呼吸系統和心血管等疾病的風險。此外,車輛行駛中所產生之二氧化碳,亦是政府淨零政策目標有關運輸部門所必須解決最為重要的一環。本研究之目的係評估政府當前運具脫碳政策之公平性及比較不同政策之效率性,進而提供可執行之權衡政策供執政者參考。
    首先,本研究使用我國107年至111年的家庭收支調查原始資料,分析我國不同所得組家戶之運具使用及所得關聯性,結果顯示有三:第一,目前僅高所得組家戶能取得當前電動車政策補貼紅利;第二,交通支出占低所得組家戶之可支配所得比例較高;第三,各等分位家戶車輛持有數皆有逐年上升趨勢。再者,本研究透過E3ME模型模擬不同政策情境下對不同運具使用及排放之長短期影響,結果顯示以降低車輛二氧化碳當量排放量效率而言,強制性政策效率最佳,惟實務上可能流失政治支持不易執行;補貼節能政策僅在2031年以前有微幅初期紅利,惟此等能源節約之補貼僅能減少污染者的外部成本,並未增加外部效益,在長期下非為適當政策。以模型估計2040年之結果為例,相較於未施以其他政策之情境,施加碳稅政策之情境較補貼節能政策情境對車輛總體二氧化碳當量排放量降低效果差異15.77%,結果顯示在長期碳稅政策明顯優於補貼節能政策。此外,電動車電能提供的來源亦非常重要,若未計算電能來源之間接排放,結果顯示將高估降低車輛總體排放量效益8.27%。
    最後,研究建議有三:第一,設定貨物稅之電動車稅式支出上限;第二,強化老車汰舊換新政策避免市場擴張;第三,引入漸進式碳稅及能源稅,並輔以回饋機制。
    The objective of transportation decarbonization policies is to address air pollution and climate change issues. Decarbonizing transportation can improve air quality, thereby reducing the risk of respiratory and cardiovascular diseases. Additionally, carbon dioxide emissions from vehicles are a crucial aspect that must be addressed by the government's net-zero policy targets within the transportation sector. This study aims to assess the equity of the current transportation decarbonization policies and compare the efficiency of different policies, providing actionable trade-off policies for policymakers.
    This study utilizes raw data from the 2018 to 2022 Household Income and Expenditure Survey to analyze the relationship between vehicle usage and income among households of different income groups in Taiwan. The analysis reveals three key findings: (1) Only high-income households can benefit from existing electric vehicle subsidy policies; (2) Transportation expenditures are regressive, with a higher proportion of disposable income spent on transportation by low-income households; (3) The number of vehicles owned by households across all income quintiles has shown a yearly upward trend.
    Furthermore, this study employs the E3ME model to simulate the short- and long-term impacts of different policy scenarios on vehicle usage and emissions. The results show that, in terms of efficiency in reducing vehicle CO2-equivalent emissions, mandatory policies are the most effective. However, they may lose political support and be difficult to implement in practice. Energy-saving subsidy policies provide only slight initial benefits before 2031; these subsidies merely reduce the external costs for polluters without increasing external benefits, making them unsuitable as a long-term policy. For instance, the model estimates for 2040 indicate that the scenario with a carbon tax policy results in a 15.77% greater reduction in total vehicle CO2-equivalent emissions compared to the energy-saving subsidy policy scenario, demonstrating the long-term superiority of the carbon tax policy. Additionally, the source of electricity for electric vehicles is also critical. If the indirect emissions from electricity sources are not accounted for, the benefits of reducing total vehicle emissions will be overestimated by 8.27%.
    The study offers three policy recommendations: (1) Establish a cap on electric vehicle tax expenditures within the commodity tax framework; (2) Strengthen policies for replacing old vehicles to prevent market expansion; (3) Introduce a gradual carbon tax and energy tax, complemented by a rebate mechanism.
    Reference: 左峻德主持(2013)。我國減碳目標下之市場機制政策與配套措施設計及評估(行政院原子能委員會委託研究計畫研究報告,1022001INER043)。
    交通部(2023)。臺灣 2050 淨零轉型「運具電動化及無碳化」關鍵戰略行動計畫。
    行政院主計總處(2008)。所得分配測度新思維。 2008年社會指標統計年報,17–20。
    行政院主計總處(2023)。111年家庭收支調查(AA170047)【原始數據】取自中央研究院人文社會科學研究中心調查研究專題中心學術調查研究資料庫。https://doi.org/10.6141/TW-SRDA-AA170047-1
    宋雅珍(2021)。新能源運具之租稅優惠探討 -以我國電動機車為例。經濟研究, 21,365–390。
    李昕(2023)。主要國家發展運具電動化策略對臺灣之啟示。經濟研究,23,1–38。
    李惠卿(2014)。能源稅開徵與貨物稅整合相關問題探討。財稅研究,43(6), 95–119。
    周濟主持(2007)。溫室氣體減量政策對運輸及住商部門之影響及因應對策(行政院經濟建設委員會委託之報告,(96)052.209)。
    林元興(2015)。課徵環境稅所面臨的問題。財稅研究,44(2),94-111。
    林玲如、劉錦龍(2017)。強制性能源效率分級政策的成效—以冷氣機產品為例。臺灣能源期刊,4(4),465–487.
    林晉勗主持(2018)。我國新能源政策下碳稅對 3E 及所得分配之影響分析(行政院原子能委員會委託研究計畫研究報告,107A003)。
    孫克難(2017)。臺灣三次賦稅改革之政經分析。財稅研究,46(2),1–30。
    曹美慧主持(2023)。推動運輸部門溫室氣體減量事項及深化減碳路徑評估。交通部運輸研究所。
    陳宛君、陳奕均、森晶寿(2022)。碳定價政策、日本全球暖化對策稅與台灣能源稅制。臺灣銀行季刊,73(1)。
    黃耀輝(2007)。能源稅之設計與動態規劃。財團法人中技社。
    曾佩如主持(2023)。建構運輸部門2050深度減碳評估模型及推動溫室氣體減量(1/2)—模型建構與減碳工作推動。交通部運輸研究所。
    經濟部工業局(2016)。汽機車汰舊換新暨中古車出口稅式支出評估報告。
    經濟部工業局(2017)。電動車輛免徵貨物稅(106~110 年)稅式支出評估報告。
    經濟部工業局(2021)。電動車輛免徵貨物稅及使用牌照稅(111~114 年)稅式支出評估報告。
    蕭代基、傅俞瑄、林師模、黃琝琇(2020),減碳政策在台灣:補貼或課稅?, 綠色經濟期刊,第 6 卷,第 A1-23 頁。
    蕭代基主持(2009)。綠色稅制之研究(行政院賦稅改革委員會委託研究報告)。
    Allcott, H., & Greenstone, M. (2012). Is there an energy efficiency gap?. Journal of Economic perspectives, 26(1), 3-28.
    Andersen, P., & Skou, M. (2010). Europe’s experience with carbon-energy taxation. SAPI EN. S. Surveys and perspectives integrating environment and society, (3.2).
    Bailey, E. E., & Friedlaender, A. F. (1982). Market structure and multiproduct industries. Journal of economic literature, 20(3), 1024-1048.
    Baranzini, A., Goldemberg, J., & Speck, S. (2000). A future for carbon taxes. Ecological economics, 32(3), 395-412.
    Baranzini, A., Goldemberg, J., & Speck, S. (2000). A future for carbon taxes. Ecological economics, 32(3), 395-412.
    Bardazzi, R., & Pazienza, M. G. (2023). Vulnerable Households in the Energy Transition. In Vulnerable Households in the Energy Transition: Energy Poverty, Demographics and Policies (pp. 1-8). Cham: Springer International Publishing.
    Beck, M., Rivers, N., Wigle, R., & Yonezawa, H. (2015). Carbon tax and revenue recycling: Impacts on households in British Columbia. Resource and Energy Economics, 41, 40-69.
    Berry, A. (2019). The distributional effects of a carbon tax and its impact on fuel poverty: A microsimulation study in the French context. Energy Policy, 124, 81-94.
    Bian, J., & Zhao, X. (2020). Tax or subsidy? An analysis of environmental policies in supply chains with retail competition. European Journal of Operational Research, 283(3), 901-914.
    Black, M. S., Liu, A. A., Parry, I. W., & Vernon, N. (2023). IMF fossil fuel subsidies data: 2023 update. International Monetary Fund.
    BloombergNEF. (2024). Energy Transition Investment Trends. https://about.bnef.com/energy-transition-investment/
    Caulfield, B., Furszyfer, D., Stefaniec, A., & Foley, A. (2022). Measuring the equity impacts of government subsidies for electric vehicles. Energy, 248, 123588.
    Chuang, Y., Delmas, M. A., & Pincetl, S. (2022). Are residential energy efficiency upgrades effective? An empirical analysis in Southern California. Journal of the Association of Environmental and Resource Economists, 9(4), 641-679.
    Coady, M. D., Parry, I. W., Sears, L., & Shang, B. (2015). How large are global energy subsidies?. International Monetary Fund.
    Diamond, D. (2009). The impact of government incentives for hybrid-electric vehicles: Evidence from US states. Energy policy, 37(3), 972-983.
    Eisner, A., Kulmer, V., & Kortschak, D. (2021). Distributional effects of carbon pricing when considering household heterogeneity: An EASI application for Austria. Energy Policy, 156, 112478.
    eurelectric (2021). E-quality: Shaping an inclusive energy transition. https://www.eurelectric.org/e-quality
    Fischer, C., & Newell, R. G. (2008). Environmental and technology policies for climate mitigation. Journal of environmental economics and management, 55(2), 142-162.
    Gallagher, K. S., & Muehlegger, E. (2011). Giving green to get green? Incentives and consumer adoption of hybrid vehicle technology. Journal of Environmental Economics and management, 61(1), 1-15.
    Gerarden, T. D., Newell, R. G., & Stavins, R. N. (2017). Assessing the energy-efficiency gap. Journal of economic literature, 55(4), 1486-1525.
    Gerarden, T. D., Newell, R. G., Stavins, R. N., & Stowe, R. C. (2015). An assessment of the energy-efficiency gap and its implications for climate-change policy (No. w20905). National Bureau of economic research.
    Hardman, S., Fleming, K. L., Khare, E., & Ramadan, M. M. (2021). A perspective on equity in the transition to electric vehicle. MIT Sci. Policy Rev, 2, 46-54.
    Holtsmark, B., & Skonhoft, A. (2014). The Norwegian support and subsidy policy of electric cars. Should it be adopted by other countries?. Environmental science & policy, 42, 160-168.
    IEA (2021), World Energy Outlook 2021, IEA, Paris https://www.iea.org/reports/world-energy-outlook-2021
    IEA (2023), Global EV Outlook 2023, IEA, Paris https://www.iea.org/reports/global-ev-outlook-2023, Licence: CC BY 4.0
    IEA (2024), Global EV Outlook 2024, IEA, Paris https://www.iea.org/reports/global-ev-outlook-2024, Licence: CC BY 4.0
    Jacobs, L., Quack, L., & Mechtel, M. (2022). Distributional effects of carbon pricing by transport fuel taxation. Energy Economics, 114, 106290.
    Kaufman, N. (2018). Putting a Price on Vehicle Emissions Is Better Policy Than It Seems. Columbia SIPA Center on Global Energy Policy. August.
    Kverndokk, S., & Rosendahl, K. E. (2007). Climate policies and learning by doing: Impacts and timing of technology subsidies. Resource and Energy Economics, 29(1), 58-82.
    Lam, A., Lee, S., Mercure, J. F., Cho, Y., Lin, C. H., Pollitt, H., ... & Billington, S. (2018). Policies and predictions for a low-carbon transition by 2050 in passenger vehicles in East Asia: Based on an analysis using the E3ME-FTT model. Sustainability, 10(5), 1612.
    Li, N., Chen, J. P., Tsai, I. C., He, Q., Chi, S. Y., Lin, Y. C., & Fu, T. M. (2016). Potential impacts of electric vehicles on air quality in Taiwan. Science of The Total Environment, 566, 919-928.
    London, J., Metz, M., Rosler, P., & Dietrich, T. (2023). GASOLINE SUPERUSERS 2.0: Supporting Gasoline-Burdened Families’ Transition.
    Mathur, A., & Morris, A. C. (2014). Distributional effects of a carbon tax in broader US fiscal reform. Energy Policy, 66, 326-334.
    Mercure, J. F., Lam, A., Billington, S., & Pollitt, H. (2018). Integrated assessment modelling as a positive science: private passenger road transport policies to meet a climate target well below 2∘ C. Climatic Change, 151, 109-129.
    Mersky, A. C., Sprei, F., Samaras, C., & Qian, Z. S. (2016). Effectiveness of incentives on electric vehicle adoption in Norway. Transportation Research Part D: Transport and Environment, 46, 56-68.
    Moayed, T., Guggenheim, S., & von Chamier, P. (2021). From regressive subsidies to progressive redistribution: the role of redistribution and recognition in energy subsidy reform. Research Paper. Center on International Cooperation, New York University.
    Muehlegger, E., & Rapson, D. S. (2022). Subsidizing low-and middle-income adoption of electric vehicles: Quasi-experimental evidence from California. Journal of Public Economics, 216, 104752.
    Okun, A. M. (2015). Equality and efficiency: The big tradeoff. Brookings Institution Press.
    Popp, D. (2006). R&D subsidies and climate policy: is there a “free lunch”?. Climatic Change, 77, 311-341.
    Rausch, S., Metcalf, G. E., & Reilly, J. M. (2011). Distributional impacts of carbon pricing: A general equilibrium approach with micro-data for households. Energy economics, 33, S20-S33.
    Santos, G., & Rembalski, S. (2021). Do electric vehicles need subsidies in the UK?. Energy Policy, 149, 111890.
    Sheldon, T. L., & Dua, R. (2019). Assessing the effectiveness of California's “Replace Your Ride”. Energy Policy, 132, 318-323.
    Sheldon, T. L., & Dua, R. (2019). Measuring the cost-effectiveness of electric vehicle subsidies. Energy Economics, 84, 104545.
    Sierzchula, W., Bakker, S., Maat, K., & Van Wee, B. (2014). The influence of financial incentives and other socio-economic factors on electric vehicle adoption. Energy policy, 68, 183-194.
    Smith, A. (1937). The wealth of nations [1776] (Vol. 11937). na.
    Tesla, inc (2021). ANNUAL REPORT PURSUANT TO SECTION 13 OR 15(d) OF THE SECURITIES EXCHANGE ACT OF 1934.
    World Bank. (2024). State and Trends of Carbon Pricing. Washington, DC: World Bank. DOI: 10.1596/978-1-4648-2127-1. License: Creative Commons Attribution CC BY 3.0 IGO.
    World Health Organization. (2021). WHO global air quality guidelines: particulate matter (PM2. 5 and PM10), ozone, nitrogen dioxide, sulfur dioxide and carbon monoxide. World Health Organization.
    Xing, J., Leard, B., & Li, S. (2021). What does an electric vehicle replace?. Journal of Environmental Economics and Management, 107, 102432.
    Description: 碩士
    國立政治大學
    財政學系
    110255031
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0110255031
    Data Type: thesis
    Appears in Collections:[財政學系] 學位論文

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