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Monte Carlo simulation-based financial risk identification for industrial estate as post-mining land usage in Indonesia

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  • Ronyastra, I Made
  • Saw, Lip Huat
  • Low, Foon Siang

Abstract

The issue of post-mining land usage is emerging in Indonesia due to the significant contribution of the mining industry to the country's economic development. Among the popular options for utilizing these lands is the establishment of industrial estates. The objective of this study is to investigate the complexities associated with identifying financial risks using an integrated framework to be implemented in industrial estates located on post-mining lands in Indonesia. The framework was constructed by combining traditional feasibility study methods with Monte Carlo simulation. The financial model was built using 31 input variables (assumptions) and 3 output variables (forecasts). The Monte Carlo simulation results revealed that there is an approximately 82.32% probability of the project's payback period being within 25 years, and a 94.23% probability of a positive net present value. Three input variables were found to contribute to 80% of the variation in average earnings. Additionally, five variables were identified as financial risk factors impacting net present value and discounted payback period. Out of the thirteen financial risk factors, ten were internal factors that require a management plan to mitigate them effectively. The framework contributed an emphasize on the importance of risk analysis as complementary analysis in a feasibility study.

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  • Ronyastra, I Made & Saw, Lip Huat & Low, Foon Siang, 2024. "Monte Carlo simulation-based financial risk identification for industrial estate as post-mining land usage in Indonesia," Resources Policy, Elsevier, vol. 89(C).
    • Handle: RePEc:eee:jrpoli:v:89:y:2024:i:c:s0301420724000060
    DOI: 10.1016/j.resourpol.2024.104639
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    References listed on IDEAS

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    1. Pouran, Hamid M., 2018. "From collapsed coal mines to floating solar farms, why China's new power stations matter," Energy Policy, Elsevier, vol. 123(C), pages 414-420.
    2. Shi, Buchao & Huang, Liangxiong & Wei, Shengmin & Geng, Xinyue, 2022. "Overseas industrial parks and China's outward foreign direct investment," Journal of Asian Economics, Elsevier, vol. 83(C).
    3. Kamel, Ahmed & Elwageeh, Mohamed & Bonduà, Stefano & Elkarmoty, Mohamed, 2023. "Evaluation of mining projects subjected to economic uncertainties using the Monte Carlo simulation and the binomial tree method: Case study in a phosphate mine in Egypt," Resources Policy, Elsevier, vol. 80(C).
    4. Ronyastra, I Made & Saw, Lip Huat & Low, Foon Siang, 2023. "A review of methods for integrating risk management and multicriteria decision analysis in financial feasibility for post-coal-mining land usage selection," Resources Policy, Elsevier, vol. 86(PB).
    5. Mostafaei, Kamran & maleki, Shaho & Zamani Ahmad Mahmoudi, Mohammad & Knez, Dariusz, 2022. "Risk management prediction of mining and industrial projects by support vector machine," Resources Policy, Elsevier, vol. 78(C).
    6. Li, Ying & Chiu, Yung-ho & Lin, Tai-Yu, 2019. "Coal production efficiency and land destruction in China's coal mining industry," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    7. Liu, Zhe & Adams, Michelle & Cote, Raymond P. & Geng, Yong & Ren, Jingzheng & Chen, Qinghua & Liu, Weili & Zhu, Xuesong, 2018. "Co-benefits accounting for the implementation of eco-industrial development strategies in the scale of industrial park based on emergy analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1522-1529.
    8. Nick French & Laura Gabrielli, 2006. "Uncertainty and feasibility studies: an Italian case study," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 24(1), pages 49-67, January.
    9. Mavrotas, George & Makryvelios, Evangelos, 2021. "Combining multiple criteria analysis, mathematical programming and Monte Carlo simulation to tackle uncertainty in Research and Development project portfolio selection: A case study from Greece," European Journal of Operational Research, Elsevier, vol. 291(2), pages 794-806.
    10. Caralis, George & Diakoulaki, Danae & Yang, Peijin & Gao, Zhiqiu & Zervos, Arthouros & Rados, Kostas, 2014. "Profitability of wind energy investments in China using a Monte Carlo approach for the treatment of uncertainties," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 224-236.
    11. Yongjun Yang & Yue Li & Fu Chen & Shaoliang Zhang & Huping Hou, 2019. "Regime shift and redevelopment of a mining area’s socio-ecological system under resilience thinking: a case study in Shanxi Province, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(5), pages 2577-2598, October.
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