IDEAS home Printed from https://ideas.repec.org/a/gam/jecomi/v10y2022i1p11-d715909.html
   My bibliography  Save this article

The Effect of COVID-19 Pandemic on Corporate Dividend Policy in Indonesia: The Static and Dynamic Panel Data Approaches

Author

Listed:
  • Georgina Maria Tinungki

    (Department of Statistics, Faculty of Mathematics and Natural Sciences, Hasanuddin University, Makassar 90245, Indonesia)

  • Robiyanto Robiyanto

    (Faculty of Economics and Business, Satya Wacana Christian University, Salatiga 50711, Indonesia)

  • Powell Gian Hartono

    (Master of Management Program, Satya Wacana Christian University, Salatiga 50711, Indonesia)

Abstract

This research examines the effect of the crisis due to the COVID-19 pandemic on dividend policy in Indonesia. The purposive sampling method was used to collect data from corporates listed on the IDX from 2014 to 2020 and analyzed using static and dynamic panel data approaches. The fixed-effect models (FEM) were selected for the static panel data regression. Meanwhile, the first difference-generalized method of moments (FD-GMM) and system-generalized method of moments (SYS-GMM) were used for determine the robustness of the estimated dynamic panel data. The results showed that the crisis due to the pandemic led to higher dividend distribution on SYS-GMM. Furthermore, companies maintained the dividend level as a positive signal for investors which lifted the sluggish trade condition in the capital market. Profitability and previous year dividends positively affect dividend policy robustly. Furthermore, the results showed that age affects dividend policy on FD-GMM. Financial leverage has a robust effect, and firm size has an effect on FD-GMM in different directions, while investment opportunity does not affect dividend policy. Statistically, the FEM selected that violates the best linear unbiased estimation was proven to form parameters that were not much different from the estimates produced by the dynamic model, both from the coefficient of influence direction and significance, and the omitted variable bias occurs as evidenced in the robust test with dynamic model was solved. This research is also used as a reference for considering investors’ investment decisions in the new normal condition. Therefore, dividend policy can be considered as a positive signal to investors with the ability to stock trading activities in the capital market.

Suggested Citation

  • Georgina Maria Tinungki & Robiyanto Robiyanto & Powell Gian Hartono, 2022. "The Effect of COVID-19 Pandemic on Corporate Dividend Policy in Indonesia: The Static and Dynamic Panel Data Approaches," Economies, MDPI, vol. 10(1), pages 1-18, January.
  • Handle: RePEc:gam:jecomi:v:10:y:2022:i:1:p:11-:d:715909
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7099/10/1/11/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7099/10/1/11/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Li, Xiang, 2022. "The role of state-owned banks in crises: Evidence from German banks during COVID-19," IWH Discussion Papers 6/2022, Halle Institute for Economic Research (IWH), revised 2022.
    2. Kwangsoo Lim, 2016. "The Shift of a Dividend Policy and a Leverage Policy during the 2008 Financial Crisis," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 5(6), pages 09-14, October.
    3. Elif Akben-Selcuk, 2016. "Does Firm Age Affect Profitability? Evidence from Turkey," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, vol. 5(3), pages 1-9, September.
    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. Georgina Maria Tinungki & Powell Gian Hartono & Robiyanto Robiyanto & Agus Budi Hartono & Jakaria Jakaria & Lydia Rosintan Simanjuntak, 2022. "The COVID-19 Pandemic Impact on Corporate Dividend Policy of Sustainable and Responsible Investment in Indonesia: Static and Dynamic Panel Data Model Comparison," Sustainability, MDPI, vol. 14(10), pages 1-23, May.
    2. Abdullah AlGhazali & Khamis Hamed Al-Yahyaee & Richard Fairchild & Yilmaz Guney, 2024. "What do dividend changes reveal? Theory and evidence from a unique environment," Review of Quantitative Finance and Accounting, Springer, vol. 62(2), pages 499-552, February.

    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. Georgina Maria Tinungki & Powell Gian Hartono & Robiyanto Robiyanto & Agus Budi Hartono & Jakaria Jakaria & Lydia Rosintan Simanjuntak, 2022. "The COVID-19 Pandemic Impact on Corporate Dividend Policy of Sustainable and Responsible Investment in Indonesia: Static and Dynamic Panel Data Model Comparison," Sustainability, MDPI, vol. 14(10), pages 1-23, May.
    2. Tomislava Pavic Kramaric & Marko Miletic & Ivan Pavic, 2017. "Profitability Determinants of Insurance Markets in Selected Central and Eastern European Countries," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, vol. 6(2), pages 100-123, November.
    3. Tomislava Pavic Kramaric & Ivan Pavic & Marko Miletic, 2019. "Does Bancassurance Affect Performance of Non-life Insurance Sector ? Case of EU Countries," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, vol. 8(2), pages 96-108, December.
    4. Muhammad Azeem Qureshi & Fred H. Strønen & Marius Tyseng & Marius Urdal, 2020. "Sustainable Business in Norway: The Firm or the Industry Effect?," Sustainability, MDPI, vol. 12(8), pages 1-13, April.
    5. My Tran Ngo & Thi Hong Van Pham & Thi Thai Tam Luu, 2019. "Effect of Board Diversity on Financial Performance of the Vietnamese Listed Firms," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 9(7), pages 743-751, July.
    6. Collins Kankam-Kwarteng & Appiah Sarpong & Ofosu Amofah & Stephen Acheampong, 2021. "Marketing performance of service firms: Recognizing market sensing capability and customer interaction orientation," Post-Print hal-03376959, HAL.
    7. Diby François Kassi & Dilesha Nawadali Rathnayake & Pierre Axel Louembe & Ning Ding, 2019. "Market Risk and Financial Performance of Non-Financial Companies Listed on the Moroccan Stock Exchange," Risks, MDPI, vol. 7(1), pages 1-29, February.
    8. Powell Gian Hartono & Robiyanto Robiyanto, 2023. "Factors affecting the inconsistency of dividend policy using dynamic panel data model," SN Business & Economics, Springer, vol. 3(2), pages 1-21, February.
    9. Samta Jain & Smita Kashiramka & P. K. Jain, 2018. "Impact of Organizational Learning and Absorptive Capacity on the Abnormal Returns of Acquirers: Evidence from Cross-Border Acquisitions by Indian Companies," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(4), pages 289-303, December.
    10. LIU Yang, 2018. "Firm Age, Size, and Employment Dynamics: Evidence from Japanese firms," Discussion papers 18006, Research Institute of Economy, Trade and Industry (RIETI).
    11. Tarik Hossain, 2020. "Determinants of Profitability: A Study on Manufacturing Companies Listed on the Dhaka Stock Exchange," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 10(12), pages 1496-1508, December.
    12. Patrizia Pastore & Antonio Ricciardi & Silvia Tommaso, 2020. "Contractual networks: an organizational model to reduce the competitive disadvantage of small and medium enterprises (SMEs) in Europe’s less developed regions. A survey in southern Italy," International Entrepreneurship and Management Journal, Springer, vol. 16(4), pages 1503-1535, December.
    13. Kankam-Kwarteng, Collins & Sarpong, Appiah & Amofah, Ofosu & Acheampong, Stephen, 2021. "Marketing performance of service firms: Recognizing market sensing capability and customer interaction orientation," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 7, pages 8-48.
    14. Veronika Kajurova & Dagmar Linnertova, 2018. "The Impact of Loose Monetary Policy on the Competitiveness of Czech Firms," ACTA VSFS, University of Finance and Administration, vol. 12(1), pages 43-73.
    15. Lili Jantyik & Jeremiás Máté Balogh & Áron Török, 2021. "What Are the Reasons Behind the Economic Performance of the Hungarian Beer Industry? The Case of the Hungarian Microbreweries," Sustainability, MDPI, vol. 13(5), pages 1-14, March.

    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:gam:jecomi:v:10:y:2022:i:1:p:11-:d:715909. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.