Evaluating Global Oil Data Reporting Consistency and Stability with Insights from Indonesia
DOI:
https://doi.org/10.29017/scog.v49i1.2010Keywords:
oil data reporting, data consistency, reporting volatility, oil data availability index (ODAI), energy governanceAbstract
Transparent and consistent oil data reporting is a critical component of global energy governance and market stability. This study evaluates the consistency, stability, and overall quality of global oil data reporting from 2002 to 2025 using the dataset of the Joint Organizations Data Initiative (JODI), with Indonesia employed as a regional reference case. The principal indicators applied include the Index of Reporting Consistency (IRC), the Reporting Volatility Index (RVI), and the Oil Data Availability Index (ODAI). Countries are classified according to market role (producer or importer), economic grouping, and geographical region. The analysis further incorporates K-means clustering and structural change detection to assess temporal stability and responsiveness to major global shocks. The findings reveal substantial variation in reporting performance across countries. Nations exhibiting high IRC values and low RVI scores generally possess more mature institutional and statistical capacities, whereas those with low IRC scores tend to face governance or data management constraints. Oil-producing countries typically demonstrate higher ODAI values but display greater vulnerability to systemic crises, while importing countries show relatively more stable reporting patterns. Major global shocks in 2008, 2014, 2020, and 2022 exerted asymmetric impacts on producers and importers, highlighting structural vulnerabilities within the global energy reporting system. Indonesia demonstrates consistently strong reporting performance, with an ODAI value of 0.944, exceeding the averages of ASEAN (0.889) and OPEC (0.829). The country records a non-reporting rate of only 5.6% and a maximum non-reporting duration of ten months. This study addresses a gap in long-term, shock-sensitive analyses and introduces an integrated framework combining IRC, RVI, and ODAI as a novel approach for assessing oil data reporting quality. The findings provide a foundation for strengthening institutional capacity, enhancing regional coordination, and developing crisis-resilient reporting systems, while positioning ODAI as a practical indicator for evaluating energy governance and policy transparency.
References
Abidoye, A., Lamidi, W., Alabi, M., & Popoola, J. (2021). Testing for equality of means with equal and unequal variances. Scientia Africana, 20(2), 51–60.
Al Hakim, M. F., Tony, B., Chandra, S., Nugraha, F. Y., & Nandiwardhana, D. (2025). MAPPING THE POTENTIAL CO2 SOURCE-SINKS FOR CARBON CAPTURE STORAGE FROM INDUSTRY IN INDONESIA. Scientific Contributions Oil and Gas, 48(1), 121–133. https://doi.org/10.29017/scog.v48i1.1626
Alazzani, A., & Wan-Hussin, W. N. (2013). Global Reporting Initiative’s environmental reporting: A study of oil and gas companies. Ecological Indicators, 32, 19–24.
Anderson, D. M., & Whitford, A. B. (2017). Developing knowledge states: Technology and the enhancement of national statistical capacity. Review of Policy Research, 34(3), 400–420.
Andrews-Speed, P. (2016). Applying institutional theory to the low-carbon energy transition. Energy Research & Social Science, 13, 216–225.
Balahurovska, I. O., & Bahrii, R. R. (2025). Ukraine’s cross-border energy security as a strategy for reducing energy dependence and developing renewable energy exports.
Batubara, M., Purwanto, W. W., & Fauzi, A. (2016). Proposing a decision-making process for the development of sustainable oil and gas resources using the petroleum fund: A case study of the East Natuna gas field. Resources Policy, 49, 372–384.
Caryana, Y. K. (2017). KAJIAN KEBIJAKAN CADANGAN PENYANGGA BAHAN BAKAR MINYAK SERTA RENCANA UMUM PEMBANGKIT TENAGA LISTRIK UNTUK MENJAMIN KESINAMBUNGNAN PENYEDIAAN ENERGI PADA PROGRAM IMPLEMENTASI TOL LAUT (Petroleum Fuel Reserves Policy and Power Plant Construction Planning Reviews to Assure Energy Security Supply for Sea Toll Implementation Program). LEMBARAN PUBLIKASI MINYAK DAN GAS BUMI (LPMGB), 51(1), 41–48. https://doi.org/10.29017/LPMGB.51.1.14
Dang, H.-A., Pullinger, J., Serajuddin, U., & Stacy, B. (2024). Reviewing assessment tools for measuring country statistical capacity. IZA Discussion Papers.
Derrick, B., Toher, D., & White, P. (2016). Why Welch’s test is Type I error robust. The Quantitative Methods for Psychology, 12(1), 30–38.
Hassani, H., & Christodoulides, P. (2021). OPEC’s efforts on energy data transparency: Evidence from the Organization’s 60 year history. OPEC Energy Review, 45(1), 44–51.
Islam, M. R. (2018). Sample size and its role in Central Limit Theorem (CLT). Computational and Applied Mathematics Journal, 4(1), 1–7.
Janssen, M., Van Der Voort, H., & Wahyudi, A. (2017). Factors influencing big data decision-making quality. Journal of Business Research, 70, 338–345.
Jiang, H., Luo, Y., Xia, J., Hitt, M., & Shen, J. (2023). Resource dependence theory in international business: Progress and prospects. Global Strategy Journal, 13(1), 3–57.
Johnsson, S., Andrei, M., & Johansson, M. (2025). Harmonizing energy audit reporting: Addressing data loss and policy challenges in the EU member states. Energy, 319, 135040.
Jumardi, A., Yusgiantoro, P., & Siagian, U. (2025). Development of Energy System Modeling to Forecast 2060 Oil and Gas Demand in The Household Sector of East Kalimantan Using Bottom-Up Method. Scientific Contributions Oil and Gas, 48(1), 159–177. https://doi.org/10.29017/scog.v48i1.1732
Manfei, X., Fralick, D., Zheng, J. Z., Wang, B., Xin, M. T., & Changyong, F. (2017). The differences and similarities between two-sample t-test and paired t-test. Shanghai Archives of Psychiatry, 29(3), 184.
Mishra, Prabhaker, Singh, U., Pandey, C. M., Mishra, Priyadarshni, & Pandey, G. (2019). Application of student’s t-test, analysis of variance, and covariance. Annals of Cardiac Anaesthesia, 22(4), 407–411.
Noch, M. Y. (2024). Navigating uncertainty: International accounting and financial reporting amid geopolitical conflict. Advances: Jurnal Ekonomi & Bisnis, 2(1), 1–11.
Notonegoro, K., Setiati, R., & Mardiana, D. A. (2025). ANALYSIS ON LINKAGE AND MULTIPLIER EFFECTS OF UPSTREAM OIL AND GAS SECTOR IN INDONESIA’S ECONOMY USING INPUT-OUTPUT METHOD. Scientific Contributions Oil and Gas, 48(1), 207–216. https://doi.org/10.29017/scog.v48i1.1700
Noy, I., & Dabamona, J. (2024). War and financial statements: Assessing the impact of the russia-ukraine conflict on international accounting and reporting standards. Advances in Applied Accounting Research, 2(2), 71–82.
Pasarai, U., Hazman, H., Pribadi, E., Lucia, A., & Widarsono, B. (2019). Kajian Regulasi Pengusahaan Oil Sands Kedalaman Dangkal Dengan Metode Oil Mining. LEMBARAN PUBLIKASI MINYAK DAN GAS BUMI (LPMGB), 53(1), 1–14. https://doi.org/10.29017/LPMGB.53.1.265
Quagli, A., Lagazio, C., & Ramassa, P. (2021). From enforcement to financial reporting controls (FRCs): A country-level composite indicator. Journal of Management and Governance, 25(2), 397–427.
Rafieisakhaei, M., Barazandeh, B., & Tarrahi, M. (2016). Analysis of supply and demand dynamics to predict oil market trends: A case study of 2015 price data. D011S004R004.
Sridharan, S. A. (2015). Volatility forecasting using financial statement information. The Accounting Review, 90(5), 2079–2106.
Sugiantoro, J. J. (2014). Analisis Laju Pengurasan Produksi Minyak Lapangan-Lapangan Sumatera Selatan. LEMBARAN PUBLIKASI MINYAK DAN GAS BUMI (LPMGB), 48(3), 133–140. https://doi.org/10.29017/LPMGB.48.3.1219
Watts, M., & Zalik, A. (2020). Consistently unreliable: Oil spill data and transparency discourse. The Extractive Industries and Society, 7(3), 790–795.
Wu, K., Bethel, E. W., Gu, M., Leinweber, D., & Ruebel, O. (2013). A big data approach to analyzing market volatility. Algorithmic Finance, 2(3–4), 241–267.
Yuliarita, E., Zulkifliani, Z., Atmanto, M. D., Sunarjanto, D., & Lubad, A. M. (2020). Kajian Pemanfaatan Gas DME (Dimethyl Ether) atau Uji Terap Pada Sektor Rumah Tangga Di Wilayah Sumatera Selatan. LEMBARAN PUBLIKASI MINYAK DAN GAS BUMI (LPMGB), 54(2), 61–67. https://doi.org/10.29017/LPMGB.54.2.499
Yusgiantoro, L., Prabowo, T. B., & Kristanto, D. (2025). The Structural Factors in Advancing CCS/CCUS Technology in Indonesia: A Comprehensive Analysis. Scientific Contributions Oil and Gas, 48(2), 279–292. https://doi.org/10.29017/scog.v48i2.1780
Published
Issue
Section
License
Copyright (c) 2026 © Copyright by Authors. Published by LEMIGAS

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors are free to Share — copy and redistribute the material in any medium or format for any purpose, even commercially Adapt — remix, transform, and build upon the material for any purpose, even commercially.
The licensor cannot revoke these freedoms as long as you follow the license terms, under the following terms Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.









