As sustainable development has gained increasing prominence, environmental, social, and governance (ESG) issues have become an important research topic in the field of infrastructure real estate investment trusts (Infra-REITs). However, the three conventional ESG dimensions alone are no longer sufficient to fully explain the mechanisms through which ESG affects earnings resilience. Drawing on the operational characteristics of the Infra-REITs market, this study develops an “ESG+” analytical framework comprising two dimensions: underlying assets and capital markets. Using both questionnaire evidence and empirical data, it integrates fuzzy-set qualitative comparative analysis (fsQCA) and necessary-condition analysis (NCA) to systematically identify the configurational paths through which multiple factors jointly shape the earnings resilience of Infra-REITs. To mitigate potential subjective bias, a LASSO regression model is further employed to identify key variables containing incremental predictive information and to conduct a complementary comparison with the configurational results. The results show that: (1) ESG elements such as green certification, energy efficiency, and social responsibility significantly enhance return resilience under specific contextual conditions, demonstrating strong multi-factor synergies; (2) project cash flow and energy efficiency emerge as core conditions across several configurations, underscoring the foundational role of operational performance in shaping Infra-REITs’ resilience; and (3) under imperfect legal and fiscal systems, market liquidity, pricing mechanisms, and information disclosure interact as critical complementary mechanisms that strengthen return stability. The findings contribute to a more comprehensive understanding of ESG–resilience linkages and provide theoretical and practical guidance for optimizing investment management and improving institutional design in the Infra-REITs market.
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Wang et al. (2026) studied this question.
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