IDEAS home Printed from https://ideas.repec.org/a/lpe/efijnl/202209.html
   My bibliography  Save this article

The Nonlinear Impact of Payment System Innovation on Financial System Stability in the ASEAN-4 Countries

Author

Listed:
  • Mahjus Ekananda

    (Department of Economics, Faculty of Economics and Business, Universitas Indonesia)

Abstract

The increasing growth of financial system encourages payment system innovation that can affect financial system stability, particularly in ASEAN countries. This study explored a variety of payment system innovation, i.e. debit cards, credit cards, electronic money, and RTGS. The financial system stability index is measured by calculating the composite indexes of non-performing loans, Z-score from ROA and CAR, share price volatility, and yield bonds. The components of the indexes are structured to reflect risks from the banking, stock, and bond markets. The resulting index value indicates the level of risk in the financial system. A higher index specifies a higher risk and a more vulnerable financial system. Furthermore, it is noted that the effects of the independent variable can change according to economic conditions. The panel threshold model was applied to calculate the effects of various regimes, namely innovation, GDP, credit ratio, and stability index. The panel data were obtained from the ASEAN-4 countries (Indonesia, Malaysia, Thailand, and the Philippines) from 2012 to 2020. The panel threshold analysis shows an increase in the value of debit card, credit card, and RTGS transactions. Specifically, innovation and GDPR negatively affect the stability index. Increasing the value of payment system innovation will decrease the risk to financial system stability in ASEAN countries. The monetary authorities of each country can implement these findings by considering the rapid development of payment system innovation and the danger it may pose to financial system stability.

Suggested Citation

  • Mahjus Ekananda, 2022. "The Nonlinear Impact of Payment System Innovation on Financial System Stability in the ASEAN-4 Countries," Economics and Finance in Indonesia, Faculty of Economics and Business, University of Indonesia, vol. 68, pages 114-131, Desember.
  • Handle: RePEc:lpe:efijnl:202209
    as

    Download full text from publisher

    File URL: http://www.lpem.org/repec/lpe/efijnl/202209.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Otilia Boldea & Alastair Hall & Sanggohn Han, 2012. "Asymptotic Distribution Theory for Break Point Estimators in Models Estimated via 2SLS," Econometric Reviews, Taylor & Francis Journals, vol. 31(1), pages 1-33.
    2. Do Van Anh,, 2022. "Does better capitalization enhance bank efficiency and limit risk taking? Evidence from ASEAN commercial banks," Global Finance Journal, Elsevier, vol. 53(C).
    3. Barbosa, Klenio & de Paula Rocha, Bruno & Salazar, Fernando, 2015. "Assessing competition in the banking industry: A multi-product approach," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 340-362.
    4. Apriliani Gustiana & Nasrudin, 2021. "Evaluating Financial System Stability Using Heatmap from Aggregate Financial Stability Index with Change Point Analysis Approach," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(3), pages 367-396, September.
    5. Hadi Salehi Esfahani & Kamiar Mohaddes & M. Hashem Pesaran, 2014. "An Empirical Growth Model For Major Oil Exporters," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(1), pages 1-21, January.
    6. Adil Elfakir & Mohamed Tkiouat, 2019. "Adverse Selection and Moral Hazards Reduction in Corporate Financing: A Mechanism Design Model for PLS Contracts," Annals of Economics and Finance, Society for AEF, vol. 20(1), pages 163-179, May.
    7. Vintu Denis & Negotei Ioana-Alina, 2018. "Analysis of Financial Stability: The Construction of a New Composite Financial Stability Index for Euro Area," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 264-270, July.
    8. Maddala, G S & Wu, Shaowen, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 631-652, Special I.
    9. Huang, Cliff J. & Lai, Hung-pin, 2017. "A note on the likelihood ratio test on the equality of group frontiers," Economics Letters, Elsevier, vol. 155(C), pages 5-8.
    10. Pratap Chandra Pati & Prabina Rajib & Parama Barai, 2017. "A behavioural explanation to the asymmetric volatility phenomenon: Evidence from market volatility index," Review of Financial Economics, John Wiley & Sons, vol. 35(1), pages 66-81, November.
    11. Pati, Pratap Chandra & Rajib, Prabina & Barai, Parama, 2017. "A behavioural explanation to the asymmetric volatility phenomenon: Evidence from market volatility index," Review of Financial Economics, Elsevier, vol. 35(C), pages 66-81.
    12. Samia Nasreen & Sofia Anwar, 2020. "Financial Stability And The Role Of Economic And Financial Integration In South Asia: Evidence From Time-Series Data," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 65(02), pages 303-333, March.
    13. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    Full references (including those not matched with items on IDEAS)

    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. Jos Alberto Fuinhas & Ant nio Cardoso Marques & Alcino Pinto Couto, 2015. "Oil-Growth Nexus in Oil Producing Countries: Macro Panel Evidence," International Journal of Energy Economics and Policy, Econjournals, vol. 5(1), pages 148-163.
    2. José Fuinhas & António Marques & Alcino Couto, 2015. "Oil rents and economic growth in oil producing countries: evidence from a macro panel," Economic Change and Restructuring, Springer, vol. 48(3), pages 257-279, November.
    3. Karanfil, Fatih & Omgba, Luc Désiré, 2017. "Reconsidering the scarcity factor in the dynamics of oil markets: An empirical investigation of the (mis)measurement of oil reserves," Energy, Elsevier, vol. 137(C), pages 209-218.
    4. Kim, Dong-Hyeon & Chen, Ting-Cih & Lin, Shu-Chin, 2020. "Does oil drive income inequality? New panel evidence," Structural Change and Economic Dynamics, Elsevier, vol. 55(C), pages 137-152.
    5. Tomas Vlcek & Martin Jirusek & James Henderson, 2015. "Risk Assessment in Construction Process in Nuclear Sector within the Central and Eastern Europe," International Journal of Energy Economics and Policy, Econjournals, vol. 5(2), pages 482-493.
    6. Herwartz, Helmut & Reimers, Hans-Eggert, 2006. "Modelling the Fisher hypothesis: World wide evidence," Economics Working Papers 2006-04, Christian-Albrechts-University of Kiel, Department of Economics.
    7. Bilal Mehmood & Syed Hassan Raza & Mahwish Rana & Huma Sohaib & Muhammad Azhar Khan, 2014. "Triangular Relationship between Energy Consumption, Price Index and National Income in Asian Countries: A Pooled Mean Group Approach in Presence of Structural Breaks," International Journal of Energy Economics and Policy, Econjournals, vol. 4(4), pages 610-620.
    8. Pedroni, Peter & Yao, James Yudong, 2006. "Regional income divergence in China," Journal of Asian Economics, Elsevier, vol. 17(2), pages 294-315, April.
    9. Ziesemer, Thomas H.W., 2010. "The impact of the credit crisis on poor developing countries: Growth, worker remittances, accumulation and migration," Economic Modelling, Elsevier, vol. 27(5), pages 1230-1245, September.
    10. Steiner, Andreas, 2013. "The accumulation of foreign exchange by central banks: Fear of capital mobility?," Journal of Macroeconomics, Elsevier, vol. 38(PB), pages 409-427.
    11. Raffaello Bronzini & Paolo Piselli, 2006. "Determinants of long-run regional productivity: the role of R&D, human capital and public infrastructure," Temi di discussione (Economic working papers) 597, Bank of Italy, Economic Research and International Relations Area.
    12. Peppel-Srebrny, Jemima, 2021. "Not all government budget deficits are created equal: Evidence from advanced economies' sovereign bond markets," Journal of International Money and Finance, Elsevier, vol. 118(C).
    13. Markus Brueckner & Daniel Lederman, 2018. "Inequality and economic growth: the role of initial income," Journal of Economic Growth, Springer, vol. 23(3), pages 341-366, September.
    14. Julián Messina, 2005. "Institutions and Service Employment: A Panel Study for OECD Countries," LABOUR, CEIS, vol. 19(2), pages 343-372, June.
    15. Cem Ertur & Antonio Musolesi, 2017. "Weak and Strong Cross‐Sectional Dependence: A Panel Data Analysis of International Technology Diffusion," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(3), pages 477-503, April.
    16. Sunnee Billingsley, 2010. "The Post-Communist Fertility Puzzle," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 29(2), pages 193-231, April.
    17. Ayad Hicham, 2017. "Financial Development and Poverty Reduction Nexus: A Co-Integration and Causality Analysis in Selected Arabic Countries," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 3(2), pages 28-35, June.
    18. Huy Quang Doan, 2019. "Trade, Institutional Quality and Income: Empirical Evidence for Sub-Saharan Africa," Economies, MDPI, vol. 7(2), pages 1-23, May.
    19. Bangake, Chrysost & Eggoh, Jude C., 2011. "Further evidence on finance-growth causality: A panel data analysis," Economic Systems, Elsevier, vol. 35(2), pages 176-188, June.
    20. José Abraham López Machuca & Jorge Eduardo Mendoza Cota, 2017. "Salarios, desempleo y productividad laboral en la industria manufacturera mexicana. (Wage, Unemployment and Labor Productivity in the Mexican Manufacturing Industry)," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 185-228, October.

    More about this item

    Keywords

    threshold panel; payment system innovation; financial system stability;
    All these keywords.

    JEL classification:

    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

    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:lpe:efijnl:202209. 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: Muhammad Halley Yudhistira (email available below). General contact details of provider: https://edirc.repec.org/data/feuinid.html .

    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.