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    Title: 中央銀行數位貨幣之動態隨機一般均衡分析
    A Dynamic Stochastic General Equilibrium Model of Central Bank Digital Currency
    Authors: 廖晏德
    Liao, Yen-Te
    Contributors: 朱琇妍
    潘振宇

    Chu, Shiou-Yen
    Pan, Chen-Yu

    廖晏德
    Liao, Yen-Te
    Keywords: 中央銀行數位貨幣
    動態隨機一般均衡
    異質性家計單位
    商業銀行
    獨佔性競爭
    Central bank digital currency
    Dynamic stochastic general equilibrium
    Heterogeneous households
    Commercial bank
    Monopolistic competition
    Date: 2025
    Issue Date: 2025-03-03 14:26:51 (UTC+8)
    Abstract: 本研究建立一個包含異質性家計單位、房屋市場及銀行獨佔性競爭的動態隨機一般均衡(DSGE)模型,探討中央銀行數位貨幣(CBDC)帶來的總體經濟影響,並提出三個主要研究結果。首先,CBDC對儲蓄者與借款者而言具有不同的功能,儲蓄者將其視為資產,而借款者則利用其提升支付流動性以增加消費。其次,在固定的房屋供給下,CBDC偏好衝擊主要影響儲蓄者的投資決策,而借款人則是根據房價波動調整房屋消費。最後,因爲在獨佔性競爭環境下,商業銀行擁有能設定存款與放款利率的定價能力,故CBDC並不會排擠商業銀行放款,反而可以提升流動性並有利放貸,顯示CBDC與商業銀行能在不破壞借貸市場穩定的情況下共存。
    This study examines the macroeconomic consequences of Central Bank Digital Currency (CBDC) using a Dynamic Stochastic General Equilibrium (DSGE) model with heterogeneous households, a housing market, and monopolistic competition in banking. Our findings highlight three key insights. First, CBDC serve distinct roles for savers and borrowers: savers treat them as assets, while borrowers use them to enhance liquidity for consumption. Second, with a fixed housing supply, the CBDC preference shock primarily influences savers' investment decisions, whereas borrowers adjust housing consumption based on price fluctuations. Third, CBDC do not crowd out bank credit. Instead, they can enhance liquidity and even support lending, as commercial banks retain pricing power to adjust deposit and lending rates under monopolistic competition, indicating that CBDC and commercial banks can coexist without disrupting credit markets.
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    Andolfatto, D. (2021). Assessing the impact of central bank digital currency on private banks. The Economic Journal, 131(634):525–540.
    Auer, R. and Böhme, R. (2020). The technology of retail central bank digital currency. BIS Quarterly Review, March.
    Bank for International Settlements (2023). Exploring central bank digital currencies and crypto-assets: BIS 2023 survey. Technical Report BIS Papers No. 147, Bank for International Settlements.
    Barrdear, J. and Kumhof, M. (2022). The macroeconomics of central bank digital currencies. Journal of Economic Dynamics and Control, 142:104148.
    Bayeh, B., Cubides, E., and O’Brien, S. (2024). 2024 findings from the diary of consumer payment choice. Technical report, Federal Reserve Bank of Atlanta.
    Brunnermeier, M. K. and Niepelt, D. (2019). On the equivalence of private and public money. Journal of Monetary Economics, 106:27–41.
    Burlon, L., Muñoz, M. A., and Smets, F. (2024). The optimal quantity of cbdc in a bank-based economy. American Economic Journal: Macroeconomics, 16(4):172–217.
    Chiu, J., Davoodalhosseini, S. M., Jiang, J., and Zhu, Y. (2023). Bank market power and central bank digital currency: Theory and quantitative assessment. Journal of Political Economy, 131(5):1213–1248.
    Chu, S.-Y. (2013). Credit frictions and consumption dynamics in an open economy. International Review of Economics & Finance, 27:250–260.
    Comizio, V. G. (2022). Virtual Currency Law: The Emerging Legal and Regulatory Framework. Aspen Publishing.
    Dionysopoulos, L., Marra, M., and Urquhart, A. (2024). Central bank digital currencies: A critical review. International Review of Financial Analysis, 91:103031.
    European Central Bank (2024). Digital euro progress report. Technical report, European Central Bank, Frankfurt am Main, Germany.
    Federal Reserve Board (2022). Money and payments: The u.s. dollar in the age of digital transformation. Technical report, Federal Reserve Board.
    Fernández-Villaverde, J., Sanches, D., Schilling, L., and Uhlig, H. (2021). Central bank digital currency: Central banking for all? Review of Economic Dynamics, 41:225–242.
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    Niepelt, D. (2024). Money and banking with reserves and cbdc. The Journal of Finance, 79(4):2505–2552.
    People’s Bank of China (2021). White paper: Progress of research & development of e-cny in china.
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    Smets, F. and Wouters, R. (2007). Shocks and frictions in us business cycles: A bayesian dsge approach. American economic review, 97(3):586–606.
    Syarifuddin, F. and Bakhtiar, T. (2022). The macroeconomic effects of an interest-bearing cbdc: A dsge model. Mathematics, 10(10):1671.
    Description: 碩士
    國立政治大學
    國際經營與貿易學系
    110351024
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0110351024
    Data Type: thesis
    Appears in Collections:[國際經營與貿易學系 ] 學位論文

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