M1 > M2. In contrast, for asset management services, the impact is ranked inversely. Consistent with recent studies, our data indicates that employing the Divisia index softens the impact of digital finance on the stability of money demand functions. Moreover, it's essential to monitor the pace of reform and understand how the behaviors of unique economic entities impact the money demand function, while concurrently promoting a deeper reform of interest rate liberalization."> M1 > M2. In contrast, for asset management services, the impact is ranked inversely. Consistent with recent studies, our data indicates that employing the Divisia index softens the impact of digital finance on the stability of money demand functions. Moreover, it's essential to monitor the pace of reform and understand how the behaviors of unique economic entities impact the money demand function, while concurrently promoting a deeper reform of interest rate liberalization.">
Nothing Special   »   [go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/eee/asieco/v88y2023ics1049007823000696.html
   My bibliography  Save this article

Does digital finance change the stability of money demand function? Evidence from China

Author

Listed:
  • Zhan, Minghua
  • Wang, Lijun
  • Zhan, Shuwei
  • Lu, Yao
Abstract
Understanding the stability of the money demand function is crucial for determining how money impacts inflation and output, and optimizing monetary policy operations. Our study, using China as a case study, examines the potential effects of digital finance on this stability through cointegration technology. We found that digital finance influences the stability of money demand functions differently across monetary aggregates: it leaves M0 unaltered, doesn't influence the unstable M1, but does disrupt the formerly stable M2. We further investigate how two key services of digital finance - payment and asset management - affect the stability of M0, M1, and M2 demand functions. For payment services, our findings suggest the stability impact on the money demand function follows the order of M0 > M1 > M2. In contrast, for asset management services, the impact is ranked inversely. Consistent with recent studies, our data indicates that employing the Divisia index softens the impact of digital finance on the stability of money demand functions. Moreover, it's essential to monitor the pace of reform and understand how the behaviors of unique economic entities impact the money demand function, while concurrently promoting a deeper reform of interest rate liberalization.

Suggested Citation

  • Zhan, Minghua & Wang, Lijun & Zhan, Shuwei & Lu, Yao, 2023. "Does digital finance change the stability of money demand function? Evidence from China," Journal of Asian Economics, Elsevier, vol. 88(C).
  • Handle: RePEc:eee:asieco:v:88:y:2023:i:c:s1049007823000696
    DOI: 10.1016/j.asieco.2023.101649
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1049007823000696
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.asieco.2023.101649?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. William A. Barnett, 2000. "The Optimal Level of Monetary Aggregation," Contributions to Economic Analysis, in: The Theory of Monetary Aggregation, pages 125-149, Emerald Group Publishing Limited.
    2. Park, Joon Y, 1992. "Canonical Cointegrating Regressions," Econometrica, Econometric Society, vol. 60(1), pages 119-143, January.
    3. William A. Barnett & Biyan Tang, 2016. "Chinese Divisia Monetary Index and GDP Nowcasting," Open Economies Review, Springer, vol. 27(5), pages 825-849, November.
    4. Folarin, Oludele E. & Asongu, Simplice A., 2019. "Financial liberalization and long-run stability of money demand in Nigeria," Journal of Policy Modeling, Elsevier, vol. 41(5), pages 963-980.
    5. Merton H. Miller & Daniel Orr, 1966. "A Model of the Demand for Money by Firms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 80(3), pages 413-435.
    6. El-Shagi, Makram & Tochkov, Kiril, 2022. "Divisia monetary aggregates for Russia: Money demand, GDP nowcasting and the price puzzle," Economic Systems, Elsevier, vol. 46(4).
    7. Zuo, Haomiao & Park, Sung Y., 2011. "Money demand in China and time-varying cointegration," China Economic Review, Elsevier, vol. 22(3), pages 330-343, September.
    8. G. Coenen & J.-L. Vega, 2001. "The demand for M3 in the euro area," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(6), pages 727-748.
    9. Bissoondeeal, Rakesh K. & Karoglou, Michail & Binner, Jane M., 2019. "Structural changes and the role of monetary aggregates in the UK," Journal of Financial Stability, Elsevier, vol. 42(C), pages 100-107.
    10. Peter C. B. Phillips & Bruce E. Hansen, 1990. "Statistical Inference in Instrumental Variables Regression with I(1) Processes," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 57(1), pages 99-125.
    11. Boucekkine, R. & Laksaci, M. & Touati-Tliba, M., 2021. "Long-run stability of money demand and monetary policy: The case of Algeria," The Journal of Economic Asymmetries, Elsevier, vol. 24(C).
    12. Hendrickson, Joshua R., 2014. "Redundancy Or Mismeasurement? A Reappraisal Of Money," Macroeconomic Dynamics, Cambridge University Press, vol. 18(7), pages 1437-1465, October.
    13. Barnett, William A. & Ghosh, Taniya & Adil, Masudul Hasan, 2022. "Is money demand really unstable? Evidence from Divisia monetary aggregates," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 606-622.
    14. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    15. Saikkonen, Pentti, 1992. "Estimation and Testing of Cointegrated Systems by an Autoregressive Approximation," Econometric Theory, Cambridge University Press, vol. 8(1), pages 1-27, March.
    16. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    17. John Bosco Nnyanzi, 2018. "The Interaction Effect of Financial Innovation and the Transmission Channels on Money Demand in Uganda," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(12), pages 1-1, December.
    18. Gabriel De La Fuente & Luis P. De La Horra & Javier Perote, 2020. "The demand for Divisia money in the United States: evidence from the CFS Divisia M3 aggregate," Applied Economics Letters, Taylor & Francis Journals, vol. 27(1), pages 41-45, January.
    19. Michael T. Belongia & Peter N. Ireland, 2015. "Interest Rates and Money in the Measurement of Monetary Policy," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(2), pages 255-269, April.
    20. Bae, Youngsoo & Kakkar, Vikas & Ogaki, Masao, 2006. "Money Demand in Japan and Nonlinear Cointegration," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(6), pages 1659-1667, September.
    21. Itay Goldstein & Wei Jiang & G Andrew Karolyi, 2019. "To FinTech and Beyond," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 1647-1661.
    22. John Paul Dunne & Elizabeth Kasekende, 2018. "Financial Innovation and Money Demand: Evidence from Sub‐Saharan Africa," South African Journal of Economics, Economic Society of South Africa, vol. 86(4), pages 428-448, December.
    23. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    24. Miyao, Ryuzo, 1996. "Does a Cointegrating M2 Demand Relation Really Exist in Japan?," Journal of the Japanese and International Economies, Elsevier, vol. 10(2), pages 169-180, June.
    25. Miyao, Ryuzo, 1996. "Does a Cointegrating M2 Demand Relation Really Exist in the United States?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 28(3), pages 365-380, August.
    26. Fleissig, Adrian R. & Whitney, Gerald A., 2008. "A nonparametric test of weak separability and consumer preferences," Journal of Econometrics, Elsevier, vol. 147(2), pages 275-281, December.
    27. William A. Barnett, 2000. "Economic Monetary Aggregates: An Application of Index Number and Aggregation Theory," Contributions to Economic Analysis, in: The Theory of Monetary Aggregation, pages 11-48, Emerald Group Publishing Limited.
    28. Li, Jie & Wu, Yu & Xiao, Jing Jian, 2020. "The impact of digital finance on household consumption: Evidence from China," Economic Modelling, Elsevier, vol. 86(C), pages 317-326.
    29. Aleksander Berentsen & Samuel Huber & Alessandro Marchesiani, 2018. "Limited Commitment and the Demand for Money," Economic Journal, Royal Economic Society, vol. 128(610), pages 1128-1156, May.
    30. Lucas, Robert E. & Nicolini, Juan Pablo, 2015. "On the stability of money demand," Journal of Monetary Economics, Elsevier, vol. 73(C), pages 48-65.
    31. Goldfeld, Stephen M. & Sichel, Daniel E., 1990. "The demand for money," Handbook of Monetary Economics, in: B. M. Friedman & F. H. Hahn (ed.), Handbook of Monetary Economics, edition 1, volume 1, chapter 8, pages 299-356, Elsevier.
    32. Hansen, Bruce E, 2002. "Tests for Parameter Instability in Regressions with I(1) Processes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 45-59, January.
    33. Glennon, Dennis & Lane, Julia, 1996. "Financial innovation, new assets, and the behavior of money demand," Journal of Banking & Finance, Elsevier, vol. 20(2), pages 207-225, March.
    34. Stock, James H & Watson, Mark W, 1993. "A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems," Econometrica, Econometric Society, vol. 61(4), pages 783-820, July.
    35. Bahmani-Oskooee, Mohsen & Bohl, Martin T., 2000. "German monetary unification and the stability of the German M3 money demand function," Economics Letters, Elsevier, vol. 66(2), pages 203-208, February.
    36. Hafer, R W & Jansen, Dennis W, 1991. "The Demand for Money in the United States: Evidence from Cointegration Tests," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 23(2), pages 155-168, May.
    37. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
    38. Apostolos Serletis & Periklis Gogas, 2014. "Divisia Monetary Aggregates, the Great Ratios, and Classical Money Demand Functions," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(1), pages 229-241, February.
    39. Alfred A. Haug, 2006. "Canadian Money Demand Functions: Cointegration‐Rank Stability," Manchester School, University of Manchester, vol. 74(2), pages 214-230, March.
    40. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    41. Zhao, Liuyan, 2017. "The behavior of money demand in the Chinese hyperinflation," China Economic Review, Elsevier, vol. 42(C), pages 145-154.
    42. Emara, Noha & Zhang, Yuanhao, 2021. "The non-linear impact of digitization on remittances inflow: Evidence from the BRICS," Telecommunications Policy, Elsevier, vol. 45(4).
    43. Hossain, Akhand Akhtar & Arwatchanakarn, Popkarn, 2020. "The effect of economic uncertainty on narrow money demand and its stability in New Zealand: An empirical investigation," Economic Analysis and Policy, Elsevier, vol. 68(C), pages 88-100.
    44. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    45. Perron, Pierre & Vogelsang, Timothy J, 1992. "Testing for a Unit Root in a Time Series with a Changing Mean: Corrections and Extensions," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(4), pages 467-470, October.
    46. Masudul Hasan Adil & Salman Haider & Neeraj R. Hatekar, 2020. "Empirical Assessment of Money Demand Stability Under India’s Open Economy: Non-linear ARDL Approach," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 18(4), pages 891-909, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Cong & Liu, Jiaxuan & Liu, Yuwei & Wang, Xiaoyu, 2023. "Can digitalization empowerment improve the efficiency of corporate capital allocation? —Evidence from China," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 1794-1810.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Barnett, William A. & Ghosh, Taniya & Adil, Masudul Hasan, 2022. "Is money demand really unstable? Evidence from Divisia monetary aggregates," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 606-622.
    2. Zuo, Haomiao & Park, Sung Y., 2011. "Money demand in China and time-varying cointegration," China Economic Review, Elsevier, vol. 22(3), pages 330-343, September.
    3. repec:wyi:journl:002133 is not listed on IDEAS
    4. Ansgar Belke & Robert Czudaj, 2010. "Is Euro Area Money Demand (Still) Stable? Cointegrated VAR Versus Single Equation Techniques," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 56(4), pages 285-315.
    5. Hasanov, Fakhri J. & Shannak, Sa'd, 2020. "Electricity incentives for agriculture in Saudi Arabia. Is that relevant to remove them?," Energy Policy, Elsevier, vol. 144(C).
    6. Jeyhun I. Mikayilov & Marzio Galeotti & Fakhri J. Hasanov, 2018. "The Impact of Economic Growth on CO2 Emissions in Azerbaijan," IEFE Working Papers 102, IEFE, Center for Research on Energy and Environmental Economics and Policy, Universita' Bocconi, Milano, Italy.
    7. Balsalobre-Lorente, Daniel & Bekun, Festus Victor & Etokakpan, Mfonobong Udom & Driha, Oana M., 2019. "A road to enhancements in natural gas use in Iran: A multivariate modelling approach," Resources Policy, Elsevier, vol. 64(C).
    8. Christou, Christina & Gupta, Rangan & Nyakabawo, Wendy & Wohar, Mark E., 2018. "Do house prices hedge inflation in the US? A quantile cointegration approach," International Review of Economics & Finance, Elsevier, vol. 54(C), pages 15-26.
    9. repec:zbw:rwirep:0171 is not listed on IDEAS
    10. Francisco de Castro & José M. González-Páramo & Pablo Hernández de Cos, 2001. "Evaluating the dynamics of fiscal policy in Spain: patterns of interdependence and consistency of public expenditure and revenues," Working Papers 0103, Banco de España.
    11. Samih Antoine Azar & Angelic Salha, 2017. "The Bias in the Long Run Relation between the Prices of BRENT and West Texas Intermediate Crude Oils," International Journal of Energy Economics and Policy, Econjournals, vol. 7(1), pages 44-54.
    12. Ansgar Belke & Robert Czudaj, 2010. "Is Euro Area Money Demand (Still) Stable? – Cointegrated VAR versus Single Equation Techniques," Ruhr Economic Papers 0171, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    13. Vicente Esteve, 2004. "Política fiscal y productividad del trabajo en la economía española: un análisis de series temporales," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 19(1), pages 3-29, June.
    14. Sami, Janesh, 2021. "Has the long-run relationship between gold and silver prices really disappeared? Evidence from an emerging market," Resources Policy, Elsevier, vol. 74(C).
    15. Fakhri J. Hasanov & Lester C. Hunt & Ceyhun I. Mikayilov, 2016. "Modeling and Forecasting Electricity Demand in Azerbaijan Using Cointegration Techniques," Energies, MDPI, vol. 9(12), pages 1-31, December.
    16. Haug, Alfred A., 1996. "Tests for cointegration a Monte Carlo comparison," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 89-115.
    17. Belongia, Michael T. & Ireland, Peter N., 2019. "The demand for Divisia Money: Theory and evidence," Journal of Macroeconomics, Elsevier, vol. 61(C), pages 1-1.
    18. Miller, Stephen M. & Martins, Luis Filipe & Gupta, Rangan, 2019. "A Time-Varying Approach Of The Us Welfare Cost Of Inflation," Macroeconomic Dynamics, Cambridge University Press, vol. 23(2), pages 775-797, March.
    19. Warne, Anders, 2006. "Bayesian inference in cointegrated VAR models: with applications to the demand for euro area M3," Working Paper Series 692, European Central Bank.
    20. Tarlok Singh, 2017. "Are Current Account Deficits in the OECD Countries Sustainable? Robust Evidence from Time-Series Estimators," The International Trade Journal, Taylor & Francis Journals, vol. 31(1), pages 29-64, January.
    21. Inagaki, Kazuyuki, 2009. "Estimating the interest rate semi-elasticity of the demand for money in low interest rate environments," Economic Modelling, Elsevier, vol. 26(1), pages 147-154, January.
    22. repec:ipg:wpaper:2014-474 is not listed on IDEAS
    23. Goh, Soo Khoon & McNown, Robert, 2015. "Examining the exchange rate regime–monetary policy autonomy nexus: Evidence from Malaysia," International Review of Economics & Finance, Elsevier, vol. 35(C), pages 292-303.

    More about this item

    Keywords

    Digital finance; Money demand function; Stability; Cointegration;
    All these keywords.

    JEL classification:

    • E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates
    • E6 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook
    • G2 - Financial Economics - - Financial Institutions and Services

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:asieco:v:88:y:2023:i:c:s1049007823000696. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/asieco .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.