Amid global climate change and energy constraints, green building represents a critical pathway for the construction industry’s decarbonization, yet its market development mechanisms remain underexplored. This study constructs a tripartite evolutionary game model analyzing dynamic interactions among consumers, construction enterprises, and the government, proposing a “Technology–Reputation–Policy” synergistic framework. The results reveal that the green building market equilibrium depends on government subsidy probabilities, subsidy amounts, stakeholder benefits, and cost reduction. While incentives significantly impact consumer behavior, their influence on enterprises is limited due to rapid strategic evolution. Government subsidy decisions balance reputational gains against expenditures, with market stability maintainable during subsidy reduction when technology-driven cost decreases reach threshold levels. Empirical calibration using Shenzhen data suggests a phased strategy: initial consumer subsidy prioritization, followed by technology cost-reduction alliances with gradual enterprise subsidy phase-outs, culminating in consumer subsidy reduction to ensure market self-sustainability. This study aims to explore “why” subsidy mechanisms effectively drive sustainable construction practices and the interaction mechanism among consumers, enterprises, and the government. These findings provide theoretical foundations and actionable policies for advancing green building markets under China’s dual carbon goals.

The underlying tension between national park development and local community interests presents a significant challenge for contemporary ecological governance. Resident empowerment (RE) is increasingly recognized as a crucial pathway to mitigate this tension and achieve effective national park governance (NPG). However, the intrinsic mechanisms through which RE influences NPG have not been thoroughly explored in existing research. Drawing on the practice of government–resident interaction in China’s national parks, this paper investigates how the decentralization of power can balance the dual goals of environmental protection and social development. Using Three-River-Source National Park as a case study, we employ an ordered Logit regression model to examine the impact of RE on NPG. The study finds that RE is significantly and positively associated with NPG. Its influence is primarily mediated through three mechanisms: an identity effect (enhancing community belonging), an income effect (improving livelihood capabilities), and an environmental effect (strengthening participation in and perception of ecological conservation). Based on this empirical analysis, we recommend policies that further expand residents’ decision-making and management rights and broaden participation channels, thereby promoting the sustainable development and social equity of NPG.

Zoning is vital for balancing biodiversity conservation and sustainable development in protected areas, yet traditional approaches often lead to ecological overprotection and social conflict. This study introduces an integrative modeling framework to optimize zoning strategies in the Longbao Reserve on the Qinghai–Tibet Plateau. We employed MaxEnt and Random Forest algorithms to evaluate habitat suitability for two flagship species: the bar-headed goose (Anser indicus) and the black-necked crane (Grus nigricollis). Results showed that 7.9% of the reserve comprised highly suitable habitats, mainly in the southeast, characterized by wetlands, water proximity, and low human disturbance. Land use and June NDVI emerged as key predictors, contributing over 30% and 35% to model performance, respectively. Based on habitat suitability and current zoning mismatches, we propose a revised four-tier zoning scheme: Core Habitat Conservation (16.9%), Ecological Rehabilitation (7.2%), Ecological Management (53.5%), and Sustainable Utilization Zones (22.4%). This refined framework aligns conservation priorities with local development needs and offers a scalable approach to adaptive protected area management.