Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/131792
題名: 中國的電子支付與貨幣需求
Electronic Payments and Money Demand in China
作者: 文旻
Wen, Min
貢獻者: 黃仁德
Hwang, Jen-Te
文旻
Wen, Min
關鍵詞: 貨幣需求
電子支付
money demand
electronic payments
ARDL
日期: 2020
上傳時間: 2-九月-2020
摘要: 本文將電子支付作為一個新變數加入到貨幣需求函數之中,並使用自我迴歸分配遞延(Autoregressive Distributed Lag, ARDL)邊界檢定方法探討中國的電子支付與貨幣需求之間的關係。實證結果顯示,貨幣需求函數之中的各變數之間存在共整合關係,電子支付變數與貨幣需求之間為負相關,長期而言,電子支付變數每增加1%,對M1的需求就將減少約0.02%;遞歸殘差累計加總(CUSUM)檢定以及遞歸殘差平方累計加總(CUSUMSQ)檢定也顯示加入電子支付變數後的貨幣需求函數是穩定的。此外,根據預測結果評估,加入電子支付變數之貨幣需求函數的預測準確度要優於不包含電子支付變數的貨幣需求函數。
This paper adds an electronic payments variable to the money demand function, and uses the Autoregressive Distributed Lag (ARDL) bounds testing approach to study the relationship between the electronic payments and money demand in China. The empirical results show that there is a cointegration relationship among the variables in the money demand function, and the e-payment variable is negatively correlated with the demand for money. According to the findings of this paper, in the long run, for per 1% increase in the e-payment variable, the demand for M1 will decrease by approximately 0.02%. In this paper, by performing the cumulative sum of recursive residuals (CUSUM) and the cumulative sum of squares of recursive residuals (CUSUMSQ) tests, we find that the money demand function including the e-payment variable is stable. In addition, the money demand function that includes the e-payment variable performs better than the one that does not include the e-payment variable when carrying out the forecast evaluation.
參考文獻: Akinlo, A. E. (2006), “The Stability of Money Demand in Nigeria: An Autoregressive Distributed Lag Approach,” Journal of Policy Modeling, 28:4, pp. 445-452.\nAlvarez, F. and Lippi, F. (2009), “Financial Innovation and the Transactions Demand for Cash,” Econometrica, 77:2, pp. 363-402.\nArrau, P., Gregorio, J. D., Reinhart, C. M., and Wickham, P. (1995), “The Demand for Money in Developing Countries: Assessing the Role of Financial Innovation,” Journal of Development Economics, 46:2, pp. 317-340.\nAttanasio, O. P., Guiso, L., and Jappelli, T. (2002), “The Demand for Money, Financial Innovation, and the Welfare Cost of Inflation: An Analysis with Household Data,” Journal of Political Economy, 110:2, pp. 317-351.\nBaharumshah, A. Z., Mohd, S. H., and Masih, A. M. M. (2009), “The Stability of Money Demand in China: Evidence from the ARDL Model,” Economic Systems, 33:3, pp. 231-244.\nBahmani-Oskooee, M., Xi, D., and Bahmani, S. (2016), “Asymmetric Effects of Exchange Rate Changes on the Demand for Money in China,” Applied Economics Letters, 23:15, pp. 1104-1109.\nBoeschoten, W. C. (1998), “Cash Management, Payment Patterns and the Demand for Money,” De Economist, 146:1, pp. 117-142.\nBrown, R. L., Durbin, J., and Evans, J. M. (1975), “Techniques for Testing the Constancy of Regression Relationships over Time,” Journal of the Royal Statistical Society: Series B (Methodological), 37:2, pp. 149-163.\nCavanagh, C. L., Elliott, G., and Stock, J. H. (1995), “Inference in Models with Nearly Integrated Regressors,” Econometric theory, 11:5, pp. 1131-1147.\nChen, B. (1997), “Long-run Money Demand and Inflation in China,” Journal of Macroeconomics, 19:3, pp. 609-617.\nChen, C. H. (1989), “Monetary Aggregates and Macroeconomic Performance in Mainland China,” Journal of Comparative Economics, 13:2, pp. 314-324.\nChow, G. C. (1987), “Money and Price Level Determination in China,” Journal of Comparative Economics, 11:3, pp. 319-333.\nDiebold, F. X. and Mariano, R. S. (1995), “Comparing Predictive Accuracy,” Journal of Business and Economic Statistics, 13:3, pp. 253-263.\nDunne, J. P. and Kasekende, E. (2018), “Financial Innovation and Money Demand: Evidence from Sub‐Saharan Africa,” South African Journal of Economics, 86:4, pp. 428-448.\nEl-Shagi, M. and Zheng, Y. (2019), “Money Demand in China: A Meta Study,” Emerging Markets Finance and Trade, https://www.tandfonline.com/doi/abs/10.1080/1540496X.2019.1643317.\nGeng, S., Jusoh, M., and Tahir, M. Z. M. (2009), “The Stability of Money Demand in China: An Application of the ARDL Model,” Econometric Theory, 11, pp. 1131-1147.\nGirardin, E. (1996), “Is there a Long Run Demand for Currency in China?” Economics of Planning, 29:3, pp. 169-184.\nGoldfeld, S. M. (1973), “The Demand for Money Revisited,” Brookings Papers on Economic Activity, 3, pp. 577-638.\nHafer, R. W. and Kutan, A. M. (1994), “Economic Reforms and Long-Run Money Demand in China: Implications for Monetary Policy,” Southern Economic Journal, 60:4, pp. 936-945.\nHarris, R. and Sollis, R. (2003), “Applied Time Series Modelling and Forecasting,” https://eprints.gla.ac.uk/33105/.\nHarvey, D., Leybourne, S., and Newbold, P. (1997), “Testing the Equality of Prediction Mean Squared Errors,” International Journal of Forecasting, 13:2, pp. 281-291.\nHossain, A. A. (2012), “Modelling of Narrow Money Demand in Australia: an ARDL Cointegration Approach, 1970–2009,” Empirical Economics, 42:3, pp. 767–790.\nHuang, G. (1994), “Money Demand in China in the Reform Period: An Error Correction Model,” Applied Economics, 26:7, pp.713-719.\nJohansen, S. (1991), “Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models,” Econometrica: Journal of the Econometric Society, 59:6, pp. 1551-1580.\nJohansen, S. (1995), Likelihood-Based Inference in Cointegrated Vector Autoregressive Models. Oxford University Press: Oxford.\nJohansen, S. and Juselius, K. (1990), “Maximum Likelihood Estimation and Inference on Cointegration — With Applications to the Demand for Money,” Oxford Bulletin of Economics and Statistics, 52:2, pp. 169-210.\nKremers, J. J. M., Ericsson, N. R., and Dolado, J. J. (1992), “The Power of Cointegration Tests,” Oxford bulletin of economics and statistics, 54:3, pp. 325-348.\nLieberman, C. (1977), “The Transactions Demand for Money and Technological Change,” Review of Economics and Statistics, 59:3, pp. 307-317.\nLippi, F. and Secchi, A. (2009), “Technological Change and the Households’ Demand for Currency,” Journal of Monetary Economics, 56:2, pp. 222-230.\nMakridakis, S., Wheelwright, S. C., and Hyndman, R. J. (1998), Forecasting: Methods and Applications, 3rd ed. New York: John Wiley & Sons.\nNagayasu, J. (2012), “Financial Innovation and Regional Money,” Applied Economics, 44:35, pp. 4617- 4629.\nNarayan, P. K. (2005), “The Saving and Investment Nexus for China: Evidence from Cointegration Tests,” Applied Economics, 37:17, pp. 1979-1990.\nOdhiambo, N. M. (2009), “Energy Consumption and Economic Growth Nexus in Tanzania: An ARDL Bounds Testing Approach,” Energy policy, 37:2, pp. 617-622.\nOuattara, B. (2006), “Foreign Aid and Fiscal Policies in Senegal,” Journal of International Development, 18, pp. 1105-1122.\nPesaran, M. H. and Shin, Y. (1998), “An Autoregressive Distributed-Lag Modelling Approach to Cointegration Analysis,” Econometric Society Monographs, 31, pp. 371-413.\nPesaran, M. H., Shin, Y., and Smith, R. J. (2001), “Bounds Testing Approaches to the Analysis of Level Relationships,” Journal of Applied Econometrics, 16:3, pp. 289-326.\nPhillips, P. C. B. and Ouliaris, S. (1990), “Asymptotic Properties of Residual Based Tests for Cointegration,” Econometrica, 58, pp. 165-193.\nQin, D. (1994), “Money Demand in China: The Effect of Economic Reform,” Journal of Asian Economics, 5:2, pp. 253-271.\nRahbek, A. and Mosconi, R. (1999), “Cointegration Rank Inference with Stationary Regressors in VAR Models,” Econometrics Journal, 2:1, pp. 76-91.\nShin, Y., Yu, B., and Greenwood-Nimmo, M. (2014), “Modelling Asymmetric Cointegration and Dynamic Multipliers in a Nonlinear ARDL Framework,” in R. C. Sickles and W. C. Horrace eds., Festschrift in Honor of Peter Schmidt: Econometric Methods and Applications (New York: Springer), pp. 281-314.\nTheil, H. (1966), Applied Economic Forecasting. Amsterdam: North-Holland.\nTheil, H. (1961), Economic Forecasts and Policy. Amsterdam: North-Holland.\nToda, H. Y. (1994), “Finite Sample Properties of Likelihood Ratio Tests for Cointegrating Ranks When Linear Trends are Present,” Review of Economics and Statistics, 76:1, pp. 66-79.\nYi, G. (1993), “Towards Estimating the Demand for Money in China,” Economics of Planning, 26:3, pp. 243-270.\nZuo, H. and Park, S. Y. (2011), “Money Demand in China and Time-varying Cointegration,” China Economic Review, 22:3, pp. 330-343.
描述: 碩士
國立政治大學
經濟學系
107258042
資料來源: http://thesis.lib.nccu.edu.tw/record/#G0107258042
資料類型: thesis
Appears in Collections:學位論文

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