Strategic Decision-Making in Green Financing: A Game-Theoretic Model and Monte Carlo Simulation of Firm, Investor and Bank Interaction

dc.contributor.authorAlcarva, Paulo
dc.contributor.authorPinto, João
dc.contributor.authorPacheco, Luís Miguel
dc.contributor.authorMadaleno, Mara
dc.date.accessioned2026-09-16T09:35:20Z
dc.date.issued2026-09-15
dc.description.abstractGreen bonds and green bank loans coexist as instruments for financing the low-carbon transition, yet the strategic mechanism through which issuers select between them remains weakly formalized. This paper models green debt instrument choice as a three-stage extensive-form game with perfect information in which a firm first selects a financing route, a bank then chooses credit enhancement in the bond branch or loan terms in the loan branch, and investors decide whether to subscribe. Because the bank’s credit enhancement enters the investors’ participation condition, the three players are genuinely strategically interdependent, and because the bond branch carries only a small standby cost rather than the full loan cost, the regulatory regime affects the choice of instrument and not merely the level of financing cost. The subgame-perfect equilibrium is characterized analytically by backward induction and is then implemented numerically over the eight admissible states of demand, issuer credibility and regulatory regime through a Monte Carlo experiment of 200,000 parameter draws. The share of simulated parameter configurations yielding a green bond equilibrium falls from 93.4% under high demand and strong credibility to 14.2% when both deteriorate; the regulatory regime flips the equilibrium instrument in 19.4% of draws, against 0% in the degenerate special case without the enhancement channel. A variance-based global sensitivity analysis (Sobol and Morris) and an incomplete-information extension with a noisy credibility signal complete the analysis. All reported quantities are numerical solutions of the model under an illustrative calibration, not empirical estimates.
dc.identifier.citationAlcarva, P., Pinto, J., Pacheco, L., & Madaleno, M. (2026). Strategic Decision-Making in Green Financing: A Game-Theoretic Model and Monte Carlo Simulation of Firm, Investor and Bank Interaction. Systems, 14(9), 1154, 1-28. https://doi.org/10.3390/systems14091154. Repositório Institucional UPT. https://hdl.handle.net/11328/7463
dc.identifier.issn2079-8954
dc.identifier.urihttps://hdl.handle.net/11328/7463
dc.language.isoeng
dc.publisherMDPI - Multidisciplinary Digital Publishing Institute
dc.relation.hasversionhttps://doi.org/10.3390/systems14091154
dc.rightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectgreen bonds
dc.subjectgreen bank loans
dc.subjectgame theory
dc.subjectsubgame-perfect equilibrium
dc.subjectcredit enhancement
dc.subjectMonte Carlo simulation
dc.subjectglobal sensitivity analysis
dc.subjectsustainable finance
dc.subjectregulatory incentives
dc.subjectgreenwashing risk
dc.subject.fosCiências Sociais - Economia e Gestão
dc.titleStrategic Decision-Making in Green Financing: A Game-Theoretic Model and Monte Carlo Simulation of Firm, Investor and Bank Interaction
dc.typejournal article
dcterms.referenceshttps://www.mdpi.com/2079-8954/14/9/1154
dspace.entity.typePublication
oaire.citation.endPage28
oaire.citation.issue9
oaire.citation.startPage1
oaire.citation.titleSystems
oaire.citation.volume14
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNamePacheco
person.givenNameLuís Miguel
person.identifier.ciencia-idBF16-0EF2-107B
person.identifier.orcid0000-0002-9066-6441
person.identifier.ridE-5193-2010
person.identifier.scopus-author-id55945343700
relation.isAuthorOfPublicationa25aba90-4787-45a8-b908-646f24b32dfc
relation.isAuthorOfPublication.latestForDiscoverya25aba90-4787-45a8-b908-646f24b32dfc

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