Conceptual justification of differentiated risk assessment in selecting implementation models for state target programs based on a cluster–integrative mechanism in the construction sector

The subject of the research is the theoretical and applied framework for assessing and structuring risks in the context of implementing state target programs through public–private partnerships (PPP) within the construction sector. The study focuses on conceptualizing the differentiated nature of risk distribution between the public and private sectors, with a particular emphasis on long–term infrastructure projects characterized by capital intensity, multistage implementation, and institutional uncertainty. The research addresses the influence of various risk categories—regulatory, political, market, operational, and socio–environmental—on the decision–making process when selecting PPP models. Special attention is given to the functionality of a cluster–integrative mechanism, which enhances coordination among institutional stakeholders, facilitates shared accountability, and enables optimization of the project’s governance architecture. The work explores how a cluster–based structure contributes to the resilience of investment initiatives and ensures a rational equilibrium in risk–bearing responsibilities. The analysis also includes the impact of contract typology, regulatory regimes, and institutional capacities on the distribution of risk and investment motivation. Overall, the research investigates the correlation between effective risk assessment systems and the sustainable implementation of state development programs through construction–based PPP frameworks.The purpose of the article is to develop a conceptual and analytical foundation for differentiated risk assessment within the selection of implementation models for state target programs in the construction industry. The article seeks to justify the use of a cluster–integrative mechanism as a means to achieve a balanced allocation of risks between public authorities and private investors. By incorporating economic modeling and legal analysis, the research aims to improve the institutional design of PPP contracts and enhance investment predictability. Furthermore, it intends to propose practical tools for minimizing critical risks and ensuring long–term viability of infrastructure projects under public–private cooperation. The ultimate goal is to contribute to the formation of a more resilient, accountable, and structurally harmonized risk management system in state–sponsored construction initiatives.Research Methodology. The methodological basis of the research combines systemic, institutional, and analytical approaches to the study of risk differentiation in public–private partnership mechanisms within the construction sector. The study employs qualitative content analysis of regulatory documents, PPP contract typologies, and institutional frameworks from international and national practice. Quantitative modeling is applied through three core formulas: aggregated weighted private risk assessment, compensatory variation modeling, and risk equilibrium optimization. These models serve to simulate real–world distributions of responsibilities under varying policy and market scenarios. The research also uses comparative analysis of different PPP structures (DBFO, BOT, BOOT) to identify the level of risk each model implies for both private and public actors. Scenario analysis is applied to test the functionality of cluster–integrative mechanisms in complex institutional environments—particularly those with high degrees of legal unpredictability or administrative corruption. Expert interviews and case studies were also reviewed to validate the theoretical assumptions regarding risk transfer and the logic of compensation mechanisms. In the final phase, a matrix of risk allocation was constructed, integrating both qualitative risk identification and quantitative impact estimates. This approach ensures the convergence of legal–institutional reasoning with economic rationality. The methodological synergy between mathematical modeling and institutional theory makes it possible to conceptualize a more stable and predictable decision–making framework for state–sponsored PPPs in the construction sector. The triangulation of data from law, economics, and governance studies enables a multidimensional understanding of how risks are perceived, distributed, and mitigated across stakeholders within a coordinated cluster system. Research results. The study results affirm that a differentiated approach to risk assessment in PPP–based implementation of state programs in the construction sector allows for a more accurate alignment of partner obligations and mitigates long–term instability. The application of the weighted private risk model revealed significant variance in risk exposure across different PPP structures, with BOT and BOOT showing the highest sensitivity to regulatory and political risks. The compensatory variation model effectively quantified the volume of state guarantees required to maintain investment attractiveness under different risk scenarios. Meanwhile, the equilibrium optimization function demonstrated that symmetrical distribution of responsibilities between stakeholders is not only achievable but also necessary to preserve institutional trust. The integration of a cluster–based governance model proved instrumental in enhancing project adaptability by establishing intermediate nodes of accountability (municipalities, development agencies, private financiers), thereby decentralizing risk and improving communication. The findings show that the introduction of a cluster–integrative mechanism enables the alignment of strategic goals and operational procedures across actors, reducing transactional inefficiencies and bureaucratic frictions. Ultimately, the results support the hypothesis that systemic and mathematically grounded risk assessment improves contractual sustainability, optimizes resource allocation, and contributes to more resilient infrastructure outcomes. The findings also point to the need for adaptive legislation that codifies risk–sharing norms based on project typology and institutional capability.Conclusions. The conducted research highlights that differentiated risk assessment is essential for achieving strategic coherence and contractual resilience in the implementation of state target programs via public–private partnerships in the construction sector. The complex nature of such projects—characterized by long timelines, capital intensity, and multilevel stakeholder involvement—requires a highly structured approach to managing uncertainty. The introduction of analytical tools, including formulas for private risk aggregation, compensation quantification, and equilibrium distribution, provides a robust foundation for balancing public and private interests. These models allow policymakers and developers to simulate optimal risk–sharing arrangements and to design contractual terms that ensure accountability and economic viability. Moreover, the empirical findings confirm that cluster–integrative mechanisms significantly enhance governance efficiency by establishing a distributed risk structure, where responsibilities are segmented yet strategically aligned across actors. This structure reduces dependence on central authorities and mitigates bottlenecks associated with bureaucratic inertia and regulatory inconsistency. The research also underscores the importance of institutional transparency, adaptive legal frameworks, and mechanisms of horizontal coordination to ensure the enforceability and predictability of PPP agreements. In conclusion, differentiated risk management in PPPs must be treated not merely as a financial or legal concern but as a core strategic component of national infrastructure development. It is only through the convergence of conceptual clarity, analytical precision, and institutional integration that public–private collaboration can deliver robust, socially valuable, and financially sustainable outcomes in the construction domain.