Desain Minimum Revenue Guarantee dan Clawback pada Proyek KPBU Jalan Tol: Kerangka Konseptual Berbasis Risiko
DOI:
https://doi.org/10.5614/jts.2025.32.2.15Keywords:
Minimum revenue guarantee, clawback, revenue risk, capital asset pricing model, toll roadsAbstract
Abstrak
Proyek jalan tol secara alamiah melibatkan risiko dan ketidakpastian pendapatan yang signifikan. Untuk meningkatkan daya tarik investasi, pemerintah berbagi risiko dengan investor melalui instrumen Minimum Revenue Guarantee dan/atau Clawback (MRGB). Tulisan ini memaparkan kerangka konseptual berbasis risiko untuk menguantifikasi nilai dan dampak MRGB terhadap proyek dan pemerintah untuk keperluan desain alokasi risiko yang berimbang. Tulisan ini menggunakan pendekatan teoretis dan analitis dengan menitikberatkan pada pemodelan kerangka konseptual yang dapat menjadi landasan kebijakan dalam mendesain MRGB bagi proyek-proyek infrastruktur yang memiliki risiko pendapatan tinggi. Capital Asset Pricing Model digunakan sebagai dasar teoretis yang diterapkan pada model satu periode. Instrumen MRG meningkatkan nilai proyek dengan meningkatkan ekspektasi pendapatan proyek dan mengurangi risiko pendapatan. Sebaliknya, CB menurunkan ekspektasi pendapatan dan risiko pendapatan sehingga dampak terhadap penurunan nilai proyek tergantung desain instrumen. Dukungan finansial yang diberikan melalui MRGB dapat didesain ekuivalen dengan skema Availability Payment. Tiga skenario risiko pendapatan dianalisis untuk menentukan desain optimal instrumen MRGB, dan pada setiap skenario, berbagai opsi desain alokasi risiko diusulkan. Hasil perhitungan divalidasi menggunakan simulasi Monte Carlo. Tulisan ini juga menguraikan implikasi kebijakan bagi pemerintah saat mempertimbangkan implementasi MRGB. Temuan ini berkontribusi pada pendekatan yang lebih terstruktur dalam merancang mekanisme berbagi risiko untuk investasi jalan tol.
Kata-kata kunci: Jaminan pendapatan minimum, clawback, risiko pendapatan, Capital Asset Pricing Model, jalan tol.
Abstract
Toll road projects inherently involve significant revenue risks and uncertainties. To enhance investment attractiveness, governments may share these risks with investors through Minimum Revenue Guarantee and/or Clawback (MRGB) instruments. This paper proposes a risk-based conceptual framework to quantify the value and impact of MRGB on both the project and the government, serving as a foundation for balanced risk allocation design. A theoretical and analytical approach is adopted, applying the Capital Asset Pricing Model to a single-period model. The MRG instrument increases project value by raising expected revenues and reducing revenue risk. Conversely, the CB instrument lowers both expected revenues and risk, and its net effect on project value depends on its design. Financial support through MRGB can be structured to mirror an availability payment scheme. Three revenue risk scenarios are analyzed to explore optimal instrument design, with alternative risk allocation strategies proposed for each. Monte Carlo simulations are used to validate the model. This paper outlines policy implications for governments considering the implementation of MRGB and contributes to a more structured approach to designing revenue risk-sharing mechanisms in toll road investments.
Keywords: Minimum revenue guarantee, clawback, revenue risk, Capital Asset Pricing Model, toll roads.
References
Ashuri, B., Kashani, H., Molenaar, K.R., Lee, S. and Lu, J. (2012), ?Risk-neutral pricing approach for evaluating BOT highway projects with government minimum revenue guarantee options?, Journal of Construction Engineering and Management, Vol. 138 No. 4, pp. 545?557, doi: 10.1061/(asce)co.1943-7862.0000447.
Bain, R. (2009), ?Error and optimism bias in toll road traffic forecasts?, Transportation, Vol. 36 No. 5, pp. 469?482, doi: 10.1007/s11116-009-9199-7.
Brand, L.E., Bastian-Pinto, C., Gomes, L.L. and Labes, M. (2012), ?Government supports in public?private partnership contracts: Metro Line 4 of the S Paulo Subway System?, Journal of Infrastructure Systems, Vol. 18 No. 3, pp. 218?225, doi: 10.1061/(asce)is.1943-555x.0000095.
Brealey, R.A., Myers, Stewart, C. and Allen, F. (2020), Principles of Corporate Finance, 13th ed., McGraw Hill, New York.
Carbonara, N., Costantino, N. and Pellegrino, R. (2014), ?Revenue guarantee in public-private partnerships: a fair risk allocation model?, Construction Management and Economics, Routledge, Vol. 32 No. 4, pp. 403?415, doi: 10.1080/01446193.2014.906638.
Dailami, M. and Klein, M. (1998), Government Support to Private Infrastructure Projects in Emerging Markets, World Bank Policy Research Working Paper.
Deep, A. (2014), Socialist Republic of Viet Nam : Strengthening Support for State-Owned Enterprise Reform and Corporate Governance Facilitation Program, Manila.
Eliasson, J. and Fosgerau, M. (2013), ?Cost overruns and demand shortfalls - Deception or selection??, Transportation Research Part B: Methodological, Vol. 57 No. November, pp. 105?113, doi: 10.1016/j.trb.2013.09.005.
Estache, A., Romero, M. and Strong, J. (2014), ?The long and winding path to private financing and regulation of toll roads?, Policy Research Working Paper, No. July, pp. 191?192.
Feng, Z., Zhang, S.B. and Gao, Y. (2015), ?Modeling the impact of government guarantees on toll charge, road quality and capacity for Build-Operate-Transfer (BOT) road projects?, Transportation Research Part A: Policy and Practice, Vol. 78, pp. 54?67, doi: 10.1016/j.tra.2015.05.006.
Flyvbjerg, B. (2007), ?Cost overruns and demand shortfalls in urban rail and other infrastructure?, Transportation Planning and Technology, Vol. 30 No. 1, pp. 9?30, doi: 10.1080/03081060701207938.
Huang, Y.L. and Chou, S.P. (2006), ?Valuation of the minimum revenue guarantee and the option to abandon in BOT infrastructure projects?, Construction Management and Economics, Vol. 24 No. 4, pp. 379?389, doi: 10.1080/01446190500434997.
Irwin, T. (2007), Government Guarantees: Allocating and Valuing Risk in Privately Financed Infrastructure Projects, Government Guarantees, Washington, D.C., doi: 10.1596/978-0-8213-6858-9.
Jin, H., Liu, S., Sun, J. and Liu, C. (2021), ?Determining concession periods and minimum revenue guarantees in public-private-partnership agreements?, European Journal of Operational Research, Vol. 291 No. 2, pp. 512?524, doi: 10.1016/j.ejor.2019.12.013.
Klein, M., Perry, G.E., Klein, M. and Perry, G.E. (1998), Dealing with Public Risk in Private Infrastructure, Dealing with Public Risk in Private Infrastructure.
Lumivero. (2025), ?@Risk: Risk and Decision Analysis Platform for Microsoft Excel?, Denver.
Nicolaisen, M.S. and Ns, P. (2015), ?Roads to nowhere: The accuracy of travel demand forecasts for do-nothing alternatives?, Transport Policy, Vol. 37, pp. 57?63, doi: 10.1016/j.tranpol.2014.10.006.
Park, H. (2012), ?Government supports for PPP projects in Korea?.
Quimbayo, C.A.Z., Vega, C.A.M. and Marques, N.L. (2019), ?Minimum revenue guarantees valuation in PPP projects under a mean reverting process?, Construction Management and Economics, Vol. 37 No. 3, pp. 121?138, doi: 10.1080/01446193.2018.1500024.
Rouhani, O.M., Geddes, R.R., Do, W., Gao, H.O. and Beheshtian, A. (2018), ?Revenue-risk-sharing approaches for public-private partnership provision of highway facilities?, Case Studies on Transport Policy, Vol. 6 No. 4, pp. 439?448, doi: 10.1016/j.cstp.2018.04.003.
Soch, J., Sar?ta?, K., Maja, Monticone, P., Faulkenberry, T.J., Martin, O.A., Kipnis, A., et al. (2023), StatProofBook/StatProofBook.Github.Io: The Book of Statistical Proofs, 2023rd ed., Zenodo, doi: https://doi.org/10.5281/ZENODO.4305949.
Wang, Y., Cui, P. and Liu, J. (2018), ?Analysis of the risk-sharing ratio in PPP projects based on government minimum revenue guarantees?, International Journal of Project Management, Vol. 36 No. 6, pp. 899?909, doi: 10.1016/j.ijproman.2018.01.007.
Wang, Y., Gao, H.O. and Liu, J. (2019), ?Incentive game of investor speculation in PPP highway projects based on the government minimum revenue guarantee?, Transportation Research Part A: Policy and Practice, Vol. 125 No. 15, pp. 20?34, doi: 10.1016/j.tra.2019.05.006.
Wang, Y., Li, Z. and Gao, Y. (2015), ?Minimum revenue guarantee and toll road revenue cap optimization for PPP highways: Pareto optimal state approach?, Baltic Journal of Road and Bridge Engineering, Vol. 10 No. 4, pp. 365?372, doi: 10.3846/bjrbe.2015.46.
Wibowo, A. (2004), ?Valuing guarantees in a BOT infrastructure project?, Engineering, Construction and Architectural Management, Vol. 11 No. 6, pp. 395?403, doi: 10.1108/09699980410571543.
Wibowo, A. (2006), ?CAPM-based valuation of financial government supports to infeasible and risky private infrastructure projects?, Journal of Construction Engineering and Management, Vol. 132 No. 3, pp. 239?248, doi: 10.1061/(asce)0733-9364(2006)132:3(239).
Wibowo, A. and Kochendoerfer, B. (2011), ?Selecting BOT/PPP infrastructure projects for government guarantee portfolio under conditions of budget and risk in the Indonesian context?, Journal of Construction Engineering and Management, Vol. 137 No. 7, pp. 512?522, doi: 10.1061/(asce)co.1943-7862.0000312.
Wibowo, A., Permana, A., Kochendfer, B., Kiong, R.T.L., Jacob, D. and Neunzehn, D. (2012), ?Modeling contingent liabilities arising from government guarantees in Indonesian BOT/PPP toll roads?, Journal of Construction Engineering and Management, Vol. 138 No. 12, pp. 1403?1410, doi: 10.1061/(asce)co.1943-7862.0000555.