Effect Of Financial Technology On Cash Holding In Indonesia Using Autoregressive Distributed Lag (ARDL)
DOI:
https://doi.org/10.58229/jims.v1i2.94Keywords:
ARDL, Bound Testing, Cash Holding, Fintech, IndonesiaAbstract
The rapid proliferation of financial technology (Fintech) has revolutionized the landscape of financial services globally, presenting digital alternatives to conventional banking and payment methods. Indonesia has emerged as a noteworthy adopter of Fintech, driven by the widespread usage of smartphones and government initiatives to foster financial inclusion. Nonetheless, the empirical research concerning the association between Fintech adoption and cash-holding behaviour in Indonesia remains limited. This study explores Fintech's influence on individuals' cash holding patterns in the country, considering direct indicators such as debit cards, credit cards, electronic money, mobile banking, and internet banking. A time-series analysis covering the period from M5 2013 to M3 2023, based on secondary data from the Bank Indonesia Statistic Database, is employed to achieve this research objective. The analytical framework utilizes the Autoregressive Distributed Lag (ARDL) bounds testing approach, accounting for the explanatory variables' concurrent and lagged effects. The empirical findings reveal a significant positive relationship between debit cards, mobile banking, and internet banking usage in short-term cash-holding behaviour. In contrast, credit card usage exhibits a negative and statistically significant association with long-term cash holding. These results contribute to a comprehensive understanding of how Fintech adoption shapes cash-holding behaviour in Indonesia and provide valuable insights into the country's transition toward a cashless society.
References
Achsani, N. A., Fauzi, J. F. A., & Abdullah, P. (2010). The Relationship between Inflation and Real Exchange Rate: Comparative Study between ASEAN+3, the EU and North America.
Ahmi, A., Tapa, A., & Hamzah, A. (2020). Mapping of Financial Technology (FinTech) Research: A Bibliometric Analysis. International Journal of Advanced Science and Technology, 29, 379–392.
Ardizzi, G., De Franceschis, P., & Giammatteo, M. (2018). Cash payment anomalies and money laundering: An econometric analysis of Italian municipalities. International Review of Law and Economics, 56, 105–121. https://doi.org/10.1016/j.irle.2018.08.001
Arner, D. W., Barberis, J. N., & Buckley, R. P. (2015). The Evolution of Fintech: A New Post-Crisis Paradigm? SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2676553
Arrau, P., de Gregorio, J., Reinhart, C., & Wickham, P. (1991). The Demand for Money in Developing Countries: Assessing the Role of Financial Innovation. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.884790
Bromberg, B. (1942). The Origin of Banking: Religious Finance in Babylonia. The Journal of Economic History, 2(1), 77–88. https://doi.org/10.1017/S002205070005230X
Chen, H., Huynh, K. P., & Shy, O. (2019). Cash versus card: Payment discontinuities and the burden of holding coins. Journal of Banking & Finance, 99, 192–201. https://doi.org/10.1016/j.jbankfin.2018.12.009
Cheong Tang, T. (2007). Money demand function for Southeast Asian countries. Journal of Economic Studies, 34(6), 476–496. https://doi.org/10.1108/01443580710830952
Dekle, R. (1997). Financial Liberalization and Money Demand in ASEAN Countries: Implications for Monetary Policy. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.882278
Eschelbach, M., & Schmidt, T. (2013). Precautionary Motives in Short-Term Cash Management: Evidence from German Pos Transactions. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2796927
Folarin, O., & Asongu, S. (2017). Financial Liberalization and Long-Run Stability of Money Demand in Nigeria. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2979277
Fujiki, H. (2020). Cash demand and financial literacy: A case study using Japanese survey data. Japan and the World Economy, 54, 100998. https://doi.org/10.1016/j.japwor.2020.100998
Fujiki, H., & Tanaka, M. (2014). Currency demand, new technology, and the adoption of electronic money: Micro evidence from Japan. Economics Letters, 125(1), 5–8. https://doi.org/10.1016/j.econlet.2014.07.032
Gill, A., & Shah, C. (2011). Determinants of Corporate Cash Holdings: Evidence from Canada. International Journal of Economics and Finance, 4(1). https://doi.org/10.5539/ijef.v4n1p70
Grüschow, R. M., Kemper, J., & Brettel, M. (2016). How do different payment methods deliver cost and credit efficiency in electronic commerce? Electronic Commerce Research and Applications, 18, 27–36. https://doi.org/10.1016/j.elerap.2016.06.001
Gujarati, D. N. (1978). Basic Econometrics (5th ed.). McGraw-Hill Education.
Humphrey, D. B. (2004). Replacement of cash by cards in US consumer payments. Journal of Economics and Business, 56(3), 211–225. https://doi.org/10.1016/j.jeconbus.2003.09.001
Indonesia Bank. (2023). Laporan Perekonomian Indonesia Tahun 2022.
Jiang, J., & Shao, E. (2019). The Cash Paradox. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3367850
Kumar, S. et al. (2023). Indonesia’s Fintech industry is Ready to Rise. https://www.bcg.com/publications/2023/Fintech-industry-indonesia-growth
Mlambo, C., & Msosa, S. K. (2020). The Effect of Financial Technology on Money Demand: Evidence from Selected African States. In International Journal of Economics and Business Administration: Vol. VIII (Issue 1).
Muli C. M. (2019). The Effect of Digital Finance on Money Demand in Kenya. http://erepository.uonbi.ac.ke/handle/11295/109385
Onah, E. O., Ujunwa, A. I., Ujunwa, A., & Ogundele, O. S. (2020). Effect of financial technology on cash holding in Nigeria. African Journal of Economic and Management Studies, 12(2), 228–249. https://doi.org/10.1108/AJEMS-04-2020-0190
O’Reilly Monica, Celner Anna, Weston Deron, & Srinivas Val. (2023). 2023 Banking and Capital Markets Outlook. Https://Www2.Deloitte.Com/Us/En/Insights/Industry/Financial-Services/Financial-Services-Industry-Outlooks/Banking-Industry-Outlook.Html.
Otoritas Jasa Keuangan. (2022). Infografis-survei-nasional-literasi-dan-Inklusi-Keuangan-Tahun-2022, Info Terkini. https://ojk.go.id/id/berita-dan-kegiatan/info-terkini/Pages/Infografis-Survei-Nasional-Literasi-dan-Inklusi-Keuangan-Tahun-2022.aspx
Pahlevi R. (2021). Dompet Digital Jadi produk Fintech paling populer di Indonesia: Databoks, Pusat Data Ekonomi dan Bisnis Indonesia. https://databoks.katadata.co.id/datapublish/2021/11/12/dompet-digital-jadi-produk-Fintech-paling-populer-di-indonesia
Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289–326. https://doi.org/10.1002/jae.616
Reddy S, & Kumarasamy D. (2017). IMPACT OF CREDIT CARDS AND DEBIT CARDS ON CURRENCY DEMAND AND SEIGNIORAGE: EVIDENCE FROM INDIA.
Sriram, S. S. (1999). Survey of Literatureon Demand for Money: Theoretical and Empirical Work with Special Reference to Error-Correction Models. IMF Working Papers, 99(64), 1. https://doi.org/10.5089/9781451848540.001
The Institute of Chartered Accountants of India. (2019). MONEY MARKET UNIT I: THE CONCEPT OF MONEY DEMAND: IMPORTANT THEORIES LEARNING OUTCOMES. https://static.careers360.mobi/media/uploads/froala_editor/files/Money-Market_-Unit-I_-The-Concept-of-Money-Demand-_-Important-Theories.pdf
Xu, X., Chen, R., & Jiang, L. (2020). The Influence of Payment Mechanisms on Pricing: When Mental Imagery Stimulates Desire for Money. Journal of Retailing, 96(2), 178–188. https://doi.org/10.1016/j.jretai.2019.08.002
Yilmazkuday, H., & Yazgan, M. E. (2009). Effects of credit and debit cards on the currency demand. Applied Economics, 41(17), 2115–2123. https://doi.org/10.1080/00036840701222496