Electronic payments and money demand in China
Jen-Te Hwang and
Min Wen
Economic Analysis and Policy, 2024, vol. 82, issue C, 47-64
Abstract:
This paper constructs the money demand function including the variable of electronic payments while adopting the Autoregressive Distributed Lag (ARDL) bounds testing approach to investigate the relationship between electronic payments and money demand in China. The empirical results show that there is the cointegration among the variables in the constructed function with stability, 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 every 1 percent increase in the e-payment variable, the demand for M1 will decrease by approximately 0.01 percent. In addition, the money demand function that contains the e-payment variable performs better than the one that does not in the forecast evaluation.
Keywords: Money demand; Electronic payments; ARDL (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0313592624000419
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecanpo:v:82:y:2024:i:c:p:47-64
DOI: 10.1016/j.eap.2024.02.025
Access Statistics for this article
Economic Analysis and Policy is currently edited by Clevo Wilson
More articles in Economic Analysis and Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().