簡易檢索 / 詳目顯示

研究生: 丁子芸
Ting, Tzu-Yun
論文名稱: GDP是否會受碳定價政策影響-以歐盟31個國家為例
The Impact of Carbon Pricing Policies on GDP: A Case Study of 31 European Countries
指導教授: 林常青
Lin, Chang-Ching
學位類別: 碩士
Master
系所名稱: 社會科學院 - 經濟學系
Department of Economics
論文出版年: 2024
畢業學年度: 112
語文別: 中文
論文頁數: 96
中文關鍵詞: 碳定價政策國內生產毛額固定效果模型動態門檻效應局部投影法
外文關鍵詞: carbon pricing policies, GDP, fixed effects model, dynamic threshold effects analysis, local projection method
相關次數: 點閱:69下載:7
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 本研究探討歐盟 31 個國家之國內生產毛額是否會受到碳定價政策的影響。隨著全球氣候暖化問題日益嚴峻,各國政府紛紛採取措施以減少碳排放,目前現行的兩種碳定價機制為碳稅和排放交易系統。本研究同時考慮這兩種機制的影響,也就是將碳稅和排放交易系統的價格合併計算,並使用固定效果模型、動態門檻效應分析和局部投影法來評估碳定價政策對整體產業及工業之 GDP 影響。根據實證結果,本文發現碳定價政策會對 GDP 產生負面影響,且工業相較於整體產業來說 GDP 受到的負面效果更大。另外,若是進一步區分出低碳價格群及高碳價格群的情況下,結果表明實施高碳價格相較於低碳價格對 GDP 所造成的負向影響較小。

    This study examines the impact of carbon pricing policies on Gross Domestic Product (GDP) of 31 EU countries. As global warming becomes increasingly severe, governments are implementing some measures to reduce carbon emissions. There are two types of carbon pricing mechanisms in the world: carbon taxes and emissions trading systems. The research considers the impact of both mechanisms by combining the prices of carbon taxes and emissions trading systems. We use fixed effects model, dynamic threshold effects analysis and local projection method to evaluate the impact of carbon pricing policies on the GDP of both the overall economy and the industrial sector. The empirical results indicate that carbon pricing policies negatively impact GDP, with the industrial sector experiencing a more significant negative effect compared to the overall economy. Furthermore, when distinguishing between low and high carbon price groups, the results show that high carbon prices have a smaller negative impact on GDP compared to low carbon prices.

    第一章 緒論 1 第一節 研究背景與動機 1 第二節 研究目的 3 第三節 歐洲碳定價政策 6 第二章 文獻探討 9 第一節 全球暖化與二氧化碳的關係 9 第二節 碳稅對減少碳排放的有效性 11 第三節 碳稅對經濟的影響 13 第四節 文獻評論與創新貢獻 15 第三章 研究方法 17 第一節 變數定義 17 第二節 樣本與資料來源 19 第三節 模型簡介 22 第四章 實證結果 29 第一節 固定效果模型 29 第二節 是否存在動態門檻效應 37 第三節 局部投影法 51 第五章 結論 69 第一節 研究結論與貢獻 69 第二節 政策建議 71 參考文獻 73 附錄 76

    Andersson, J. J. (2019). Carbon Taxes and CO2 Emissions: Sweden as a Case Study. American Economic Journal: Economic Policy, 11(4), 1-30.
    Bayer, P., & Aklin, M. (2020). The European Union Emissions Trading System reduced CO₂ emissions despite low prices. Proceedings of the National Academy of Sciences - PNAS, 117(16), 8804-8812.
    Bernard, J.-T., Kichian, M., & Islam, M. (2018). Effects of BC’s Carbon Tax on GDP. USAEE Research Paper Series (18-329).
    Brink, C., Vollebergh, H. R. J., & van der Werf, E. (2016). Carbon pricing in the EU: Evaluation of different EU ETS reform options. Energy Policy, 97, 603-617.
    Chaabouni, S., & Saidi, K. (2017). The dynamic links between carbon dioxide (CO(2)) emissions, health spending and GDP growth: A case study for 51 countries. Environmental Research, 158, 137-144.
    Dolphin, G., Pollitt, M. G., & Newbery, D. M. (2020). The political economy of carbon pricing: a panel analysis. Oxford Economic Papers, 72(2), 472-500.
    Hansen, B. E. (1999). Threshold effects in non-dynamic panels: Estimation, testing, and inference. Journal of Econometrics, 93(2), 345-368.
    Hansen, J., Kharecha, P., Sato, M., Masson-Delmotte, V., Ackerman, F., Beerling, D. J., Hearty, P. J., Hoegh-Guldberg, O., Hsu, S.-L., Parmesan, C., Rockstrom, J., Rohling, E. J., Sachs, J., Smith, P., Steffen, K., Van Susteren, L., von Schuckmann, K., & Zachos, J. C. (2013). Assessing “Dangerous Climate Change”: Required Reduction of Carbon Emissions to Protect Young People, Future Generations and Nature. PLoS One, 8(12), e81648.
    Jordà, O. (2005). Estimation and inference of impulse responses by local projections. American Economic Review, 95(1), 161-182.
    Kremer, S., Bick, A., & Nautz, D. (2012). Inflation and growth: new evidence from a dynamic panel threshold analysis. Empirical Economics, 44(2), 861-878.
    Lin, B., & Li, X. (2011). The effect of carbon tax on per capita CO2 emissions. Energy Policy, 39(9), 5137-5146.
    Metcalf, G. E. (2019). On the economics of a carbon tax for the United States. Brookings Papers on Economic Activity, 2019(1), 405-484.
    Metcalf, G. E., & Stock, J. H. (2023). The Macroeconomic Impact of Europe’s Carbon Taxes. American Economic Journal: Macroeconomics, 15(3), 265-286.
    Pretis, F. (2022). Does a Carbon Tax Reduce CO2 Emissions? Evidence from British Columbia. Environmental & Resource Economics, 83(1), 115-144.
    Ring, M. J., Lindner, D., Cross, E. F., & Schlesinger, M. E. (2012). Causes of the global warming observed since the 19th century. Atmospheric and Climate Sciences, 2(04), 401.
    Seo, M. H., Kim, S., & Kim, Y.-J. (2019). Estimation of dynamic panel threshold model using Stata. The Stata Journal: Promoting Communications on Statistics and Stata, 19(3), 685-697.
    Seo, M. H., & Shin, Y. (2016). Dynamic panels with threshold effect and endogeneity. Journal of Econometrics, 195(2), 169-186.
    Teixidó, J., Verde, S. F., & Nicolli, F. (2019). The impact of the EU Emissions Trading System on low-carbon technological change: The empirical evidence. Ecological Economics, 164, 106347.
    Tucker, M. (1995). Carbon dioxide emissions and global GDP. Ecological Economics, 15(3), 215-223.
    Zhang, Y., Qi, L., Lin, X., Pan, H., & Sharp, B. (2022). Synergistic effect of carbon ETS and carbon tax under China's peak emission target: A dynamic CGE analysis. The Science of the Total Environment, 825, 154076-154076.

    下載圖示 校內:立即公開
    校外:2025-06-17公開
    QR CODE