IDEAS home Printed from https://ideas.repec.org/p/idn/wpaper/wp052025.html

Pushing Biodiesel Boundaries: B50 & Beyond - Promise Or Premature?

Author

Listed:
  • MHA Ridhwan

    (Bank Indonesia)

  • Meily Ika Permata

    (Bank Indonesia)

  • Rudy Marhastari

    (Bank Indonesia)

  • Fichrie Fachrowi Adli

    (Bank Indonesia)

  • Leinnia Fawaqa

    (Bank Indonesia)

  • Rasyid Ramadhan

    (Bank Indonesia)

  • Amanda Lethizya Lestari

    (Bank Indonesia)

  • Annisa Fisakinah

    (Bank Indonesia)

  • Muhammad Adamul Khair

    (Bank Indonesia)

  • Yulian Zifar Ayustira

    (Bank Indonesia)

  • Gandhiano Dwi Putra

    (Bank Indonesia)

Abstract

This paper assesses Indonesia’s strategy of downstreaming crude palm oil (CPO) into biodiesel, with a focus on higher blending mandates (B50 and above) and their implications for energy security, macroeconomic stability, and sustainability. We combine CPO and biodiesel material balance sheets with trade and subsidy accounting to quantify diesel import savings, foregone CPO export earnings, and fiscal needs under alternative blending scenarios. These sectoral results are then integrated into a 207-sector, multiregional computable general equilibrium (CGE) model for Indonesia, calibrated using national and interregional input–output tables, as well as empirically derived shocks for diesel and biodiesel output under B50, B60, and B70. The findings show that while biodiesel blending clearly reduces dependence on imported diesel and supports the government’s renewable energy and downstreaming objectives at moderate blend levels, higher mandates generate increasing macroeconomic and fiscal costs. For B50–B70, foregone CPO export revenues systematically exceed diesel import savings, the current account deficit widens, real GDP and household consumption fall, and GRDP declines in all major palm oil–producing provinces. Subsidy requirements rise sharply as biodiesel remains structurally more expensive than diesel. Additionally, the potential land-use change from forest and peat conversion to source feedstock could undermine the net emission benefits of higher blends, raising sustainability concerns. Overall, the results suggest that any move beyond B50 should be conditional on demonstrable improvements in CPO productivity, feedstock diversification, financing architecture, and land-use governance.

Suggested Citation

  • MHA Ridhwan & Meily Ika Permata & Rudy Marhastari & Fichrie Fachrowi Adli & Leinnia Fawaqa & Rasyid Ramadhan & Amanda Lethizya Lestari & Annisa Fisakinah & Muhammad Adamul Khair & Yulian Zifar Ayustir, 2025. "Pushing Biodiesel Boundaries: B50 & Beyond - Promise Or Premature?," Working Papers WP/05/2025, Bank Indonesia.
  • Handle: RePEc:idn:wpaper:wp052025
    as

    Download full text from publisher

    File URL: https://publication-bi.org/repec/idn/wpaper/WP052025.pdf
    File Function: First version, 2025
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yang, Yang & Liu, Zhen & Saydaliev, Hayot Berk & Iqbal, Sajid, 2022. "Economic impact of crude oil supply disruption on social welfare losses and strategic petroleum reserves," Resources Policy, Elsevier, vol. 77(C).
    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. Zhou, Wuhao & Xu, Yuanlu & Zhang, Li & Lin, Huifang, 2023. "Does public behavior and research development matters for economic growth in SMEs: Evidence from Chinese listed firms," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 107-119.
    2. Xu, Jin & Liu, Chengjun & Dou, Gang & Cai, Yunfei, 2024. "Mineral resource management in Chinese rural areas: Policy assessment for green economic growth," Resources Policy, Elsevier, vol. 90(C).
    3. Zheng, Xiaotian & Zhou, Youcheng & Iqbal, Sajid, 2022. "Working capital management of SMEs in COVID-19: role of managerial personality traits and overconfidence behavior," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 439-451.
    4. Huafang, Huang, 2024. "Efficiency in the markets for natural resources as a force for economic revolution," Resources Policy, Elsevier, vol. 89(C).
    5. Samuel, Sunday Eneojo & Kouhy, Reza, 2025. "Paradox of oil revenue allocation and utilisation in resource-rich countries: The case of Nigeria," Resources Policy, Elsevier, vol. 111(C).
    6. Mohsin, Muhammad & Jamaani, Fouad, 2023. "A novel deep-learning technique for forecasting oil price volatility using historical prices of five precious metals in context of green financing – A comparison of deep learning, machine learning, and statistical models," Resources Policy, Elsevier, vol. 86(PA).
    7. Sunil Tiwari & Kamel Si Mohammed, 2025. "Fusion of Fintech and Green Finance Amidst Russo‐Ukrainian Conflict: A Step Toward Sustainable Development," Sustainable Development, John Wiley & Sons, Ltd., vol. 33(5), pages 6936-6953, October.
    8. Sohidul Islam & Md. Yousuf & Bablu Kumar Dhar & Reday Chandra Bhowmik & Md. Mustaqim Roshid & Shaharier Arafat Sumon, 2025. "Environmental Sustainability and CO2 Emissions in Mexico: Unveiling the Roles of Fiscal Policy, Digital Innovation, and Renewable Energy Transitions," Sustainable Development, John Wiley & Sons, Ltd., vol. 33(S1), pages 1310-1327, November.
    9. Chang, Lei & Gan, Xiaojun & Mohsin, Muhammad, 2022. "Studying corporate liquidity and regulatory responses for economic recovery in COVID-19 crises," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 211-225.
    10. Yang, Weixin & Pan, Lingying & Ding, Qinyi, 2023. "Dynamic analysis of natural gas substitution for crude oil: Scenario simulation and quantitative evaluation," Energy, Elsevier, vol. 282(C).
    11. Ma, Hongmei, 2024. "Role of green innovation and green finance on green recovery: Analysis of natural resources rents," Resources Policy, Elsevier, vol. 89(C).
    12. Zou, Qizhi & Wu, Qian & Wang, Jia, 2024. "Is natural resources curse possible under the digitalization? A loon on top digitalized economies," Resources Policy, Elsevier, vol. 92(C).
    13. Chang, Lei & Shi, Fanglan & Taghizadeh-Hesary, Farhad & Saydaliev, Hayot Berk, 2023. "Information and communication technologies development and the resource curse," Resources Policy, Elsevier, vol. 80(C).
    14. Puxin Liu, 2023. "An assessment of financial mechanisms for green financial recovery and climate change mitigation: the case of China," Economic Change and Restructuring, Springer, vol. 56(3), pages 1567-1584, June.
    15. Chen, Yuanhan, 2024. "Cleaning Russian oil industry for energy resource exploration and industrial transformation towards zero carbon green recovery: Role of inclusive digital finance," Resources Policy, Elsevier, vol. 88(C).
    16. Yang, Lu, 2023. "Oil price bubbles: The role of network centrality on idiosyncratic sovereign risk," Resources Policy, Elsevier, vol. 82(C).
    17. Peipei, Wang & Eyvazov, Elchin & Giyasova, Zeynab & Kazimova, Asli, 2023. "The nexus between natural resource rents and financial wealth on economic recovery: Evidence from European Union economies," Resources Policy, Elsevier, vol. 82(C).
    18. Liu, Fang & Umair, Muhammad & Gao, Junjun, 2023. "Assessing oil price volatility co-movement with stock market volatility through quantile regression approach," Resources Policy, Elsevier, vol. 81(C).
    19. Chen, Hao & Zhang, Wenfeng & Huang, Xiangting & Wang, Xin, 2024. "Estimating the dynamic economic impacts of oil supply disruptions on China: A case study of Malacca Strait block," Resources Policy, Elsevier, vol. 98(C).
    20. Xinxing Wei & Xilin Shi & Yinping Li & Peng Li & Mingnan Xu & Yashuai Huang & Yang Hong, 2025. "A Review of Enhanced Methods for Oil Recovery from Sediment Void Oil Storage in Underground Salt Caverns," Energies, MDPI, vol. 18(2), pages 1-25, January.

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:idn:wpaper:wp052025. 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: Shinta Fitrianti or Jimmy Kathon (email available below). General contact details of provider: https://edirc.repec.org/data/bigovid.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.