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Development of Climate-Related Disclosure Indicators for Application in Indonesia: A Delphi Method Study

Author

Listed:
  • Prianto Budi Saptono

    (Department of Fiscal Administration, Universitas Indonesia, Depok 16424, Indonesia)

  • Gustofan Mahmud

    (Accounting Research Department, Pratama Institute for Fiscal and Governance Studies, Jakarta 12530, Indonesia
    Accounting Department, Sekolah Tinggi Ilmu Ekonomi Swadaya, Jakarta 13620, Indonesia)

  • Intan Pratiwi

    (Accounting Research Department, Pratama Institute for Fiscal and Governance Studies, Jakarta 12530, Indonesia)

  • Dwi Purwanto

    (Accounting Research Department, Pratama Institute for Fiscal and Governance Studies, Jakarta 12530, Indonesia)

  • Ismail Khozen

    (Accounting Research Department, Pratama Institute for Fiscal and Governance Studies, Jakarta 12530, Indonesia)

  • Muhamad Akbar Aditama

    (Accounting Research Department, Pratama Institute for Fiscal and Governance Studies, Jakarta 12530, Indonesia)

  • Siti Khodijah

    (Department of Fiscal Administration, Universitas Indonesia, Depok 16424, Indonesia
    Accounting Research Department, Pratama Institute for Fiscal and Governance Studies, Jakarta 12530, Indonesia)

  • Maria Eurelia Wayan

    (Department of Business Administration, Universitas Indonesia, Depok 16424, Indonesia)

  • Rina Yuliastuty Asmara

    (Accounting Department, Mercu Buana University, Jakarta 11650, Indonesia)

  • Ferry Jie

    (School of Business and Law, Edith Cowan University, Joondalup, WA 6027, Australia)

Abstract

Indonesia is currently preparing to adopt the climate-related disclosure standard. Before this new standard is implemented effectively, the Institute of Indonesia Chartered Accountants (IAI), the Indonesia Task Force on Comprehensive Corporate Reporting (CCR) leader, recognised the importance of harmonising this standard’s key disclosure indicators with Indonesian regulations and business characteristics. In this case, input from various constituencies may be required, particularly regarding the mechanism that enables entities with varying capabilities and levels of preparation to apply this new standard. Hence, the main objective of this paper is to develop weighted and applicable climate-related disclosure indicators. We use the Delphi method to achieve this objective by involving several experts representing various user groups that influence accounting standard formulation in Indonesia. The Delphi method is a decision-making tool that establishes an effective communication process, facilitating complex problem solving. This study finalised 44 climate-related disclosure indicators based on the results of two Delphi rounds. Overall, 48% (21/44) of climate-related disclosure indicators were identified to be highly applicable. Among these high-relevance indicators, there were 10% (2/21) Governance, 24% (5/21) Strategy, 42% (9/21) Risk Management, and 24% (5/21) Metrics and Targets indicators. Additionally, around 20% (9/44) of climate-related disclosure indicators received 100% approval from the experts. Along with various essential implications, we argue that these results provide useful additional information for the national standard setter for the climate-related disclosure standard that are efficient and less burdensome to entities.

Suggested Citation

  • Prianto Budi Saptono & Gustofan Mahmud & Intan Pratiwi & Dwi Purwanto & Ismail Khozen & Muhamad Akbar Aditama & Siti Khodijah & Maria Eurelia Wayan & Rina Yuliastuty Asmara & Ferry Jie, 2023. "Development of Climate-Related Disclosure Indicators for Application in Indonesia: A Delphi Method Study," Sustainability, MDPI, vol. 15(14), pages 1-25, July.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:10915-:d:1192183
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    References listed on IDEAS

    as
    1. Conheady, Brian & McIlkenny, Philip & Opong, Kwaku K. & Pignatel, Isabelle, 2015. "Board effectiveness and firm performance of Canadian listed firms," The British Accounting Review, Elsevier, vol. 47(3), pages 290-303.
    2. Eriana Kartadjumena & Waymond Rodgers, 2019. "Executive Compensation, Sustainability, Climate, Environmental Concerns, and Company Financial Performance: Evidence from Indonesian Commercial Banks," Sustainability, MDPI, vol. 11(6), pages 1-21, March.
    3. Carol A. Adams & Frank Mueller, 2022. "Academics and policymakers at odds: the case of the IFRS Foundation Trustees’ consultation paper on sustainability reporting," Sustainability Accounting, Management and Policy Journal, Emerald Group Publishing Limited, vol. 13(6), pages 1310-1333, May.
    4. Binh Bui & Muhammad Nurul Houqe & Mahbub Zaman, 2021. "Climate change mitigation: Carbon assurance and reporting integrity," Business Strategy and the Environment, Wiley Blackwell, vol. 30(8), pages 3839-3853, December.
    5. Cormier, Denis & Magnan, Michel, 2003. "Environmental reporting management: a continental European perspective," Journal of Accounting and Public Policy, Elsevier, vol. 22(1), pages 43-62.
    6. Rowe, Gene & Wright, George, 1999. "The Delphi technique as a forecasting tool: issues and analysis," International Journal of Forecasting, Elsevier, vol. 15(4), pages 353-375, October.
    7. Carol A. Adams & Frank Mueller, 2022. "Academics and policymakers at odds: the case of the IFRS Foundation Trustees’ consultation paper on sustainability reporting," Sustainability Accounting, Management and Policy Journal, Emerald Group Publishing Limited, vol. 13(6), pages 1310-1333, May.
    8. Connelly, J. Thomas & Limpaphayom, Piman & Nagarajan, Nandu J., 2012. "Form versus substance: The effect of ownership structure and corporate governance on firm value in Thailand," Journal of Banking & Finance, Elsevier, vol. 36(6), pages 1722-1743.
    9. repec:eme:aaaj00:09513570510627739 is not listed on IDEAS
    10. Norman Dalkey & Olaf Helmer, 1963. "An Experimental Application of the DELPHI Method to the Use of Experts," Management Science, INFORMS, vol. 9(3), pages 458-467, April.
    11. Abdallah, Abed Al-Nasser & Ismail, Ahmad K., 2017. "Corporate governance practices, ownership structure, and corporate performance in the GCC countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 46(C), pages 98-115.
    12. Aldina Lopes Santos & Lúcia Lima Rodrigues, 2021. "Banks and Climate-Related Information: The Case of Portugal," Sustainability, MDPI, vol. 13(21), pages 1-20, November.
    13. Cooper, David J. & Robson, Keith, 2006. "Accounting, professions and regulation: Locating the sites of professionalization," Accounting, Organizations and Society, Elsevier, vol. 31(4-5), pages 415-444.
    14. Luluk Widyawati, 2020. "A systematic literature review of socially responsible investment and environmental social governance metrics," Business Strategy and the Environment, Wiley Blackwell, vol. 29(2), pages 619-637, February.
    15. Noel Brown & Craig Deegan, 1998. "The public disclosure of environmental performance information—a dual test of media agenda setting theory and legitimacy theory," Accounting and Business Research, Taylor & Francis Journals, vol. 29(1), pages 21-41.
    16. Julia Bettina Leicht & Maximilian Leicht, 2022. "Changes in the climate-related disclosure of German listed companies during the first years of the new reporting standard," Future Business Journal, Springer, vol. 8(1), pages 1-12, December.
    17. Wolfgang Pointner & Doris Ritzberger-Grünwald, 2019. "Climate change as a risk to financial stability," Financial Stability Report, Oesterreichische Nationalbank (Austrian Central Bank), issue 38, pages 30-45.
    18. PoTsang B. Huang & Ching-Chow Yang & Maria Magdalena Wahyuni Inderawati & Ronald Sukwadi, 2022. "Using Modified Delphi Study to Develop Instrument for ESG Implementation: A Case Study at an Indonesian Higher Education Institution," Sustainability, MDPI, vol. 14(19), pages 1-21, October.
    19. Moreno, Angel-Ivan & Caminero, Teresa, 2022. "Application of text mining to the analysis of climate-related disclosures," International Review of Financial Analysis, Elsevier, vol. 83(C).
    20. von der Gracht, Heiko A., 2012. "Consensus measurement in Delphi studies," Technological Forecasting and Social Change, Elsevier, vol. 79(8), pages 1525-1536.
    21. Lee D. Parker, 2005. "Social and environmental accountability research," Accounting, Auditing & Accountability Journal, Emerald Group Publishing Limited, vol. 18(6), pages 842-860, December.
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