Digital innovation ecosystems are currently experiencing a period of growth and are navigating uncertain environments. Improving resilience is an important prerequisite for ensuring sustainable developments. This study, based on the technology, organization, and environment (TOE) framework, examines the impact of multilevel antecedent conditions on digital innovation ecosystem resilience using data from 31 Chinese provinces. By applying a necessary condition analysis (NCA) and fuzzy-set qualitative comparative analysis (fsQCA), this study reveals complex causal relationships between five antecedents at the “technology–organization–environment” levels and digital innovation ecosystem resilience, along with the improvement paths of digital innovation ecosystem resilience. The results show the following: Firstly, individual antecedent conditions alone do not constitute necessary conditions for high or non-high digital innovation ecosystem resilience. Secondly, there are five configuration paths leading to high digital innovation ecosystem resilience, namely, a digital technology-enabled organization–environment-driven type (H1a), an organization–environment dual-wheel-driven type (H1b), a digital technology-led environment-driven type (H2), a technology–organization–environment trilateral type (H3), and a pressure–organization-driven type (H4). Thirdly, three configuration paths result in non-high digital innovation ecosystem resilience, exhibiting an asymmetric relationship with paths associated with the configuration paths of high digital innovation ecosystem resilience. Finally, potential substitution relationships exist among antecedent conditions at the technological, organizational, and environmental levels.

Climate extremes and the accelerating low-carbon transition have intensified firms’ exposure to physical and transition risks, yet many firms remain constrained by carbon-intensive development paths. Using panel data for Chinese A-share listed firms from 2013 to 2024, we examine the relationship between corporate climate risk attention (CRA) and corporate carbon lock-in (CCL). CRA is derived from annual-report text, and CCL is measured with a multidimensional index. Fixed-effects estimates show that CRA is significantly and negatively associated with CCL, and this association remains stable across robustness checks. Mediation-style analyses identify statistical indirect associations through green strategic orientation and corporate environmental investment. Subgroup comparisons show that the negative CRA–CCL association is stronger among heavily polluting firms, firms in cities experiencing frequent extreme climate events, and firms in provinces with less stringent environmental regulation. These findings link organizational attention to firm-level carbon unlocking and suggest that climate concerns should inform strategic priorities and environmental investment. They inform transition governance tailored to firms’ transition pressures, local climate risks, and regulatory conditions.