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    Title: 以系統動力學探討碳稅對住宅價格之影響—以臺北市為例
    Exploring the Impact of Carbon Taxes on Housing Prices by System Dynamics— A Case Study of Taipei City
    Authors: 葉展華
    Yeh, Chang-Hua
    Contributors: 林左裕
    葉展華
    Yeh, Chang-Hua
    Keywords: 碳稅
    住宅價格
    系統動力學
    政策模擬
    Carbon Tax
    Housing Prices
    System Dynamics
    Policy Simulation
    Date: 2024
    Issue Date: 2024-08-05 14:16:42 (UTC+8)
    Abstract: 因應全球氣候變遷，減少溫室氣體排放量，並避免未來因碳關稅而需承擔高額成本，臺灣預計於2025年開始收取首波碳稅。為達到有效碳稅稅率同時避免高過稅率造成經濟衝擊，本研究透過系統動力學模型，綜合考慮臺北市住宅市場之供給、需求以及金融經濟等因素，模擬不同稅率及稅率累進模式下，碳稅對臺北市住宅價格可能造成之影響。
    透過固定稅率模擬可得知，碳稅稅率與住宅價格增長趨勢間呈正相關係，且房價增長幅度隨時間推移越發顯著，但不同稅率間對住宅價格漲幅之影響並非呈線性關係，而是呈現出基於成本轉嫁理論的些微S形曲線態勢。藉由三種累進稅率模式以及本研究設定之碳稅稅率模後擬，本研究建議在設計碳稅稅率時，可採用後期加速之累進稅率模式，除了能夠達到國際認可之稅率外，亦不至於過度衝擊住宅價格。
    經過本研究模擬指出，碳稅並非導致臺北市住宅價格上漲之主要因素。我國碳稅稅率尚未確立，本研究建議政府在制定碳稅政策時，應詳細規劃稅率走勢，並輔以完善之配套措施，以確保政策能順利推動並提升社會福祉。
    To cope with global climate change, to reduce greenhouse gas emissions, and to avoid the high cost of carbon tariffs in the future, Taiwan is expected to launch the carbon tax in 2025. In order to achieve an effective carbon tax rate while avoiding the economic impacts caused by an excessive tax rate, this study employs the System Dynamics model to simulates the possible impacts of carbon tax on housing prices in Taipei under different tax rates and progressive tax rate models. The supply, demand, financial and economic factors of the housing market in Taipei City are also considered.
    Results of the Fixed-rate simulation show that there is a positive relationship between carbon tax rates and the trend in housing price growth, and that the increase in housing price growth has become more significant over time. However, the effect of different tax rates on housing price increases is not linear. It shows a slight S-shaped curve based on the cost pass-through theory. Based on the three different progressive tax rate models and the simulation of carbon tax rate in this study, the late accelerated indicator progressive tax model can be suggested and used in the carbon tax rate design. Therefore, the tax rate can be internationally recognized, and the housing price will not be impacted excessively.
    The simulation of this study shows that the carbon tax is not the main factor leading to the increase of housing prices in Taipei City. Since the carbon tax rate in Taiwan has not yet been established, this study suggests that when a carbon tax policy is developed, the government should conduct detailed planning for the trend of the tax rate and supplement it with comprehensive supporting measure to ensure the smooth implementation of the policy and to enhance the welfare of the society.
    Reference: 中文文獻
    吳森田，1994，「所得、貨幣與房價－近二十年台北地區的觀察」，『住宅學報』，(2)：49-65。
    吳閔翰、石豐宇，2021，「應用系統動態學模擬高速鐵路新竹車站地區都市發展」，『都市與計劃』，48(4)：407-434。
    林素菁、林祖嘉，2001，「台灣地區住宅供給彈性之估計」，『住宅學報』,，10(1)：17-27。
    邱桂珍，2022，「以系統動態模型萃取影響高雄市房價因素」，『全球管理與經濟』，18(1)：63-82。
    張金鶚、林秋瑾，1997，「臺灣地區房地產景氣指標電腦輔助系統之建立與應用」，內政部建築研究所。
    陳幸宜，2003，「都市房價變動影響因素之系統動態模擬—台北市之實證研究」（未出版碩士論文），國立成功大學都市計畫研究所，台南市。
    陶在樸，1999，『系統動態學』初版，臺北市，五南出版社。
    楊朝仲、張良正、葉欣誠、陳昶憲、葉昭憲，2007，『系統動力學—思維與應用』初版，臺北市：五南圖書。
    謝長宏，1980，『系統動態學—理論、方法與應用』，臺北市：中興管理顧問公司。
    藍俊雄、胡純英，2009，「動態住宅交易市場之研究」，『科學與工程技術期刊』，5(1)：57-70。
    魏文欽、郭宗諭，2012，「影響房價變動因素之系統動態模擬（兼論奢侈稅）」，『International Journal of Lisrel』，5(1)：31-49。
    蘇懋康，1988，『系统動力學原理及應用』，上海市：上海交通大學出版社。
    英文文獻
    Ali, G. G., El-Adaway, I. H., & Dagli, C. H., 2020, “A System Dynamics Approach for Study of Population Growth and The Residential Housing Market in the US”, Procedia Computer Science, 168: 154-160.
    Andersson, J. J., 2019, “Carbon Taxes and CO2 Emissions: Sweden as a Case Study”, American Economic Journal: Economic Policy, 11(4): 1-30.
    Atefi, Y., Minooei, F., & Dargahi, R., 2010, “Housing Affordability: A study of real estate market in Iran”, In 28th International System Dynamics Conference, Seoul, 2010, July.
    Azevedo, D., Wolff, H., & Yamazaki, A., 2023, “Do carbon taxes kill jobs? Firm-level evidence from British Columbia”, Climate Change Economics, 14(02): 2350010.
    Baffoe-Bonnie, J., 1998, “The Dynamic Impact of Macroeconomic Aggregates on Housing Prices and Stock of Houses: A National and Regional Analysis”, The Journal of Real Estate Finance and Economics, 17(2): 179-197.
    Barron, A. R., Fawcett, A. A., Hafstead, M. a. C., Mcfarland, J. R., & Morris, A. C., 2018, “Policy insights from the emf 32 study on u.s. Carbon tax scenarios”, Climate Change Economics, 09(01): 1840003.
    Belsky, E. S., 1992, “Rental Vacancy Rates and Rental Markets,” Housing Economics”, 40: 9-12.
    Bernard, J.-T., Kichian, M., & Islam, M., 2018, “Effects of B.C.’s Carbon Tax on GDP”, USAEE Research Paper Series No. 18-329.
    Bock, M. J., Boyd, G. A., Rosenbaum, D. I., & Ross, M. H., 1992, “Case studies of the potential effects of carbon taxation on the stone, clay, and glass industry”, Argonne National Lab., IL (United States). Environmental Assessment and Information Sciences Div.
    Bohdanowicz, P., 2006, “Environmental awareness and initiatives in the Swedish and Polish hotel industries—Survey results”, International Journal of Hospitality Management, 25(4): 662-682.
    Borowiecki, K. J., 2009, “The Determinants of House Prices and Construction: An Empirical Investigation of the Swiss Housing Economy”, International Real Estate Review, 12(3): 193-220.
    Brännlund, R., Lundgren, T., & Marklund, P.-O., 2014, “Carbon intensity in production and the effects of climate policy—Evidence from Swedish industry”, Energy Policy, 67: 844-857.
    Bruvoll, A., & Larsen, B. M., 2004, “Greenhouse gas emissions in Norway: Do carbon taxes work?”, Energy Policy, 32(4): 493-505.
    Carattini, S., Carvalho, M., & Fankhauser, S., 2018, “Overcoming public resistance to carbon taxes”, WIREs Climate Change, 9(5): e531.
    Case, K. E., Quigley, J. M., & Shiller, R. J., 2005, “Comparing wealth effects: the stock market versus the housing market”, Topics in Macroeconomics, 5(1): 20121001.
    Chelly, A., Nouira, I., Hadj-Alouane, A. B., & Frein, Y., 2022, “A comparative study of progressive carbon taxation strategies: Impact on firms’ economic and environmental performances”, International Journal of Production Research, 60(11): 3476-3500.
    Chen, J., Zhong, Y., & Wang, l., 2007, “System Dynamics Based Study of Affordable Housing in Shanghai”, 2007 International Conference on Service Systems and Service Management, 1-6.
    Chen, M.-C., & Patel, K., 1998, “House Price Dynamics and Granger Causality: An Analysis of Taipei New Dwelling Market”, Journal of the Asian real estate society, 1(1): 101-126.
    Chen, M.-C., Tsai, I.-C., & Chang, C.-O., 2007, “House prices and household income: Do they move apart? Evidence from Taiwan”, Habitat International, 31(2): 243-256.
    Chow, G. C., & Niu, L., 2015, “Housing Prices in Urban China as Determined by Demand and Supply”, Pacific Economic Review, 20(1): 1-16.
    Davidoff, T., 2006, “Labor income, housing prices, and homeownership”, Journal of urban Economics, 59(2): 209-235.
    Demary, M., 2010, “The interplay between output, inflation, interest rates and house prices: International evidence”, Journal of Property Research, 271: 1-17.
    DiPasquale, D., & Wheaton, W. C., 1995, Urban Economics and Real Estate Markets. Englewood Cliffs, N.J.: Prentice Hall.
    Donald, J. G., & Winkler, D., 2002, “The Dynamics of Metropolitan Housing Prices”, Journal of Real Estate Research, 23(1-2): 29-46.
    Elgie, S., & McClay, J., 2013, “Policy Commentary/Commentaire BC’s Carbon Tax Shift Is Working Well after Four Years (Attention Ottawa)”, Canadian Public Policy, 39(Supplement 2): S1-S10.
    Elsawah, S., Pierce, S. A., Hamilton, S. H., van Delden, H., Haase, D., Elmahdi, A., & Jakeman, A. J., 2017. “An overview of the system dynamics process for integrated modelling of socio-ecological systems: Lessons on good modelling practice from five case studies”, Environmental Modelling & Software, 93: 127-145.
    Floros, N., & Vlachou, A., 2005, “Energy demand and energy-related CO2 emissions in Greek manufacturing: Assessing the impact of a carbon tax”, Energy Economics, 27(3): 387-413.
    Gale, D., 1955, “The law of supply and demand”, Mathematica scandinavica, 155-169.
    Garidzirai, R., 2020, “Time series analysis of carbon dioxide emission, population, carbon tax and energy use in South Africa”, International Journal of Energy Economics and Policy, 10(5): 353-360.
    Garson, G. D., 2009, “Computerized Simulation in the Social Sciences: A Survey and Evaluation”, Simulation & Gaming, 40(2): 267-279.
    Goto, N., 1995, “Macroeconomic and sectoral impacts of carbon taxation: A case for the Japanese economy”, Energy Economics, 17(4): 277-292.
    Grainger, C. A., & Kolstad, C. D., 2010, “Who Pays a Price on Carbon?”, Environmental and Resource Economics, 46(3): 359-376.
    Green, J. F., 2021, “Does carbon pricing reduce emissions? A review of ex-post analyses”, Environmental Research Letters, 16(4): 043004.
    Grover, D., Shreedhar, G., & Zenghelis, D., 2016, “The competitiveness impact of a UK carbon price: what do the data say?”, Policy Paper, Grantham Research Institute on Climate Change and the Environment, London, UK.
    Guo, J., & Wang, J., 2021, “Housing Price Research Based on System Dynamics Model”, IOP Conference Series: Earth and Environmental Science, 638(1): 012044.
    Gyourko, J., & Saiz, A., 200, “Construction Costs and the Supply of Housing Structure”, Journal of Regional Science, 464: 661-680.
    Hájek, M., Zimmermannová, J., Helman, K., & Rozenský, L., 2019, “Analysis of carbon tax efficiency in energy industries of selected EU countries”, Energy Policy, 134: 110955.
    Hirata, H., Kose, M. A., Otrok, C., & Terrones, M. E., 2013, “Global House Price Fluctuations: Synchronization and Determinants”, NBER International Seminar on Macroeconomics, University of Chicago Press, Chicago.
    Ho, Y.-F., Wang, H.-L., & Liu, C.-C., 2010, “Dynamics Model of Housing Market Surveillance System for Taichung City”, In Proceeding of the 28th International Conference of the System Dynamics Society, Korean System Dynamics Society, Seoul Korea.
    Hong, T., Kim, J., Koo, C., & Jeong, K., 2015, “Dynamic analysis of the urban-based low-carbon policy using system dynamics: Focused on housing and green space”, AIP Conference Proceedings, 16441: 120-127.
    Hort, K., 1998, “The Determinants of Urban House Price Fluctuations in Sweden 1968-1994”, Journal of Housing Economics, 72: 93-120.
    Jia, Z., & Lin, B., 2020, “Rethinking the choice of carbon tax and carbon trading in China”, Technological Forecasting and Social Change, 159: 120187.
    Kenny, G., 1999, “Modelling the demand and supply sides of the housing market: Evidence from Ireland”, Economic Modelling, 16(3): 389-409.
    Kim, K.-B., Cho, J.-H., & Kim, S.-B., 2021, “Model-Based Dynamic Forecasting for Residential Construction Market Demand: A Systemic Approach”, Applied Sciences, 11(8): 3681.
    Kokkinen, E., 2013, “Measuring environmental awareness in the world”, Master's thesis, University of Oulu Faculty of Technology, Oulu.
    Kwoun, M.-J., Lee, S.-H., Kim, J.-H., & Kim, J.-J., 2013, “Dynamic cycles of unsold new housing stocks, investment in housing, and housing supply-demand”, Mathematical and Computer Modelling, 57(9): 2094-2105.
    Lee, T. H., 1964, “The Stock Demand Elasticities of Non-Farm Housing”, The Review of Economics and Statistics, 46(1): 82-89.
    Lin, B., & Jia, Z., 2018, “The energy, environmental and economic impacts of carbon tax rate and taxation industry: A CGE based study in China”, Energy, 159: 558-568.
    Lin, B., & Li, X., 2011, “The effect of carbon tax on per capita CO2 emissions” Energy Policy, 39(9): 5137-5146.
    Liu, P., Lin, B., Zhou, H., Wu, X., & Little, J. C., 2020, “CO2 emissions from urban buildings at the city scale: System dynamic projections and potential mitigation policies”, Applied Energy, 277: 115546.
    Lu, C., Tong, Q., & Liu, X., 2010, “The impacts of carbon tax and complementary policies on Chinese economy”, Energy Policy, 38(11): 7278-7285.
    MacAskill, S., Mostafa, S., Stewart, R. A., Sahin, O., & Suprun, E., 2021, “Offsite construction supply chain strategies for matching affordable rental housing demand: A system dynamics approach”, Sustainable Cities and Society, 73: 103093.
    Marzouk, M., & Hosny, I., 2016, “Modeling housing supply and demand using system dynamics”, Housing, Care and Support, 19(2): 64-80.
    Mashayekhi, A. N., Ghili, S., & Pourhabib, A., 2009, “Real Estate Cycles: A Theory Based on Stock-Flow Structure of Durable Goods Markets”, In Proceedings of the 2009 System Dynamics Conference.
    Meen, G., 2000, “Housing cycles and efficiency”, Scottish Journal of Political Economy, 47(2): 114-140.
    Meng, S., Siriwardana, M., & McNeill, J., 2013, “The Environmental and Economic Impact of the Carbon Tax in Australia”, Environmental and Resource Economics, 54(3): 313-332.
    Metcalf, G. E., & Stock, J. H., 2020, “Measuring the Macroeconomic Impact of Carbon Taxes”, AEA Papers and Proceedings, 110: 101-106.
    Mori, K., 2012, “Modeling the impact of a carbon tax: A trial analysis for Washington State”, Energy Policy, 48: 627-639.
    Murray, B., & Rivers, N., 2015, “British Columbia’s revenue-neutral carbon tax: A review of the latest “grand experiment” in environmental policy”, Energy Policy, 86: 674-683.
    Nguyen, N. C., Banson, K. E., Bosch, O. J. H., Fang, J. Zhi., Heng, B. C. S., Lee, C. S. W., Lim, G., Zijie, L., & Nguyen, T. V., 2016, “Using a systems thinking approach to address the affordability of housing for Singaporeans”, International Journal of Markets and Business Systems, 2(3): 206-225.
    O’Keeffe, J., Pluchinotta, I., De Stercke, S., Hinson, C., Puchol-Salort, P., Mijic, A., Zimmermann, N., & Collins, A. M., 2022, “Evaluating natural capital performance of urban development through system dynamics: A case study from London”, Science of The Total Environment, 824: 153673.
    Onat, N. C., Egilmez, G., & Tatari, O., 2014, “Towards greening the U.S. residential building stock: A system dynamics approach”, Building and Environment, 78: 68-80.
    Park, M., Lee, M., Lee, H., & Hwang, S., 2010, “Boost, Control, or Both of Korean Housing Market: 831 Countermeasures”, Journal of Construction Engineering and Management, 136(6): 693-701.
    Pierson, K., & Sterman, J. D., 2013, “Cyclical dynamics of airline industry earnings”, System Dynamics Review, 29(3): 129-156.
    Pretis, F., 2022, “Does a Carbon Tax Reduce CO2 Emissions? Evidence from British Columbia”, Environmental and Resource Economics, 83(1): 115-144.
    Shen, Q., Chen, Q., Tang, B., Yeung, S., Hu, Y., & Cheung, G., 2009, “A system dynamics model for the sustainable land use planning and development”, Habitat International, 331: 15-25.
    Skelton, A. C. H., & Allwood, J. M., 2013, “The incentives for supply chain collaboration to improve material efficiency in the use of steel: An analysis using input output techniques”, Ecological Economics, 89: 33-42.
    Struyk, R. J., 1988, “Understanding High Housing Vacancy Rates in a Developing Country: Jordan”, The Journal of Developing Areas, 22(3): 373-380.
    Sun, S., & Ren, S., 2012, “System Dynamic Model of Housing Price Fluctuations Based on the Impact of Real Estate Tax Institution and Trading Behavior”, In 2012 Fifth International Conference on Business Intelligence and Financial Engineering.
    Symons, E., Proops, J., & Gay, P., 1994, ‘Carbon Taxes, Consumer Demand and Carbon Dioxide Emissions: A Simulation Analysis for the UK”, Fiscal Studies, 15(2): 19-43.
    Trevillion, E., 2021, “Using system dynamics modelling to understand behaviour in UK commercial property markets”, Journal of European Real Estate Research, 15(2): 227-243.
    Tsai, I.-C., 2012, “Housing Supply, Demand and Price: Construction Cost, Rental Price and House Price Indices”, Asian Economic Journal, 264: 381-396.
    World Bank, 2023, “State and Trends of Carbon Pricing 2023”.
    Xu, Z., 2011, “Application of System Dynamics model and GIS in sustainability assessment of urban residential development”, In Proceedings of the 29th International Conference of the System Dynamics Society, Washington, DC, July.
    Yamazaki, A., 2017, “Jobs and climate policy: Evidence from British Columbia’s revenue-neutral carbon tax”, Journal of Environmental Economics and Management, 83: 197-216.
    Zainal, R., Teng, T. C., & Mohamed, S., 2016, “Construction Costs and Housing Prices: Impact of Goods and Services Tax”, International Journal of Economics and Financial Issues, 6(7): 16-20.
    Zhang, X., Geltner, D., & de Neufville, R., 2018, “System Dynamics Modeling of Chinese Urban Housing Markets for Pedagogical and Policy Analysis Purposes”, The Journal of Real Estate Finance and Economics, 57(3): 476-501.
    Description: 碩士
    國立政治大學
    地政學系
    111257029
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0111257029
    Data Type: thesis
    Appears in Collections:[Department of Land Economics] Theses

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