Green buildings are an important initiative to address energy and environmental issues in the construction field. The high-quality development of green buildings is affected by many factors, and it is necessary to identify the critical factors affecting the high-quality development of green buildings and analyze them systematically. The adopted literature analysis method and expert consultation method, the DIM (DEMATEL-ISM-MICMAC) model was established to explore critical factors influencing green buildings’ high-quality development and their internal hierarchical structure, interrelationships, and mechanisms. Then, targeted suggestions were put forward to promote green buildings’ high-quality development. The results showed that: (1) The critical factors influencing green buildings’ high-quality development could be divided into five levels, three groups, and four areas. The economic development level, living standard of residents, education level, incentive policies, and compulsory laws and regulations were in the deep factor group, fundamentally affecting green buildings’ high-quality development. (2) In terms of drive and centrality, the economic development level, living standard of residents, education level, and incentive policies were at the forefront, playing a vital role in the high-quality development of green buildings.

It is important to investigate how to achieve carbon unlocking in the transport sector, especially in transport infrastructure, in order to contribute to the achievement of carbon neutrality targets and the 2030 Sustainable Development Goals. This study aims to investigate the necessary and sufficient conditions to achieve carbon unlocking in transport infrastructure. To achieve this, a combination of partial least squares structural equation modeling (PLS-SEM) and necessary condition analysis (NCA) methods have been used to examine whether there are unidentified necessity factors beyond the currently recognized ‘technology-in-institution’ (TIC) lock-in. This study also explores how the carbon unlocking of transport infrastructure can be achieved through the unlocking of relevant factors. The study includes 366 points from a subjective questionnaire from the government, transport infrastructure researchers, and relevant businesspeople. We found that, at the adequacy level, achieving institutional and technological unlocking is sufficient and economic factors have little impact on transport infrastructure (0.06), and that institutional and technical factors have a large impact on carbon unlocking (0.453, 0.280); however, from the necessary point of view, carbon unlocking at the economic level is necessary to achieve the goal of a medium to high level of carbon unlocking. To achieve carbon unlocking at this level (over 50%), a combination of technological, institutional, and economic factors is required. To achieve full carbon unlocking, the technology, system, and economy need to be at least 0.533, 0.791, and 0.63 unlocked. Therefore, we can conclude that by using the joint analysis of PLS-SEM and NCA, we have achieved an extension of the traditional TIC and identified sufficient and necessary conditions to achieve a medium to high degree of carbon unlocking.

This paper explores the spatiotemporal evolution characteristics and spatial correlation patterns of green building development differences in 41 cities in the Yangtze River Delta region from 2012 to 2020 by means of the gravity center analysis model and spatial autocorrelation analysis. In addition, it further clarifies the impact factors of the spatial differentiation pattern of green building development in combination with GeoDetector based on four dimensional factors of population and economy, market environment, policy, and other factors. The results showed that: (1) According to the analysis of the number of green buildings in each city from 2012 to 2020 and the natural discontinuity method, the development pattern of green buildings in the Yangtze River Delta region city clusters shows an imbalance, being highly concentrated in the eastern coastal areas with Suzhou (1) and Shanghai as the core. The overall trajectory of the center of gravity shows the development from southeast to northwest. (2) The global Moran’s I of green buildings in the Yangtze River Delta region city clusters is greater than 0, and all passed the significance test (Z > 1.96, p < 0.01), indicating that the green buildings in the Yangtze River Delta region city clusters show typical spatial aggregation characteristics. By using the local LISA index, it is found that in the H-H spatial autocorrelation distribution pattern with Suzhou (1) and Shanghai as the core, the core city has a strong attraction ability and relatively low radiation ability. (3) Based on the explanatory power mean, the main driving factors of the spatial differentiation pattern of green building development in the Yangtze River Delta region city clusters are education level (0.6656), technical level (0.6269), and the gross domestic product (0.6091). The factor interaction shows a two-factor enhancement and nonlinear enhancement effect, and there is neither a weakening nor an independent relationship.

虽然已有众多研究关注了对工程招投标市场中的合谋行为的治理，但现阶段工程招投标合谋行为依旧频繁发生且手段日益多样化隐蔽化，因此从新视角进行探索并提出精准治理建议是十分必要的。本文依托云理论与马尔可夫模型，构建了针对合谋行为主体的合谋状态评估与预测模型。并基于工程招投标流程，分析了招投标主体在不同阶段可能展现的、导致其合谋状态发生变化的行为，并据此筛选出了状态评估指标。通过结合组合赋权法与云模型理论，计算得出了各阶段的合谋状态等级。利用马尔可夫模型，进一步分析了合谋状态的频数转移情况，从而获得了招投标主体的合谋状态转移矩阵。案例分析结果显示，当从招标阶段过渡到投标阶段，即项目逐步深入时，招投标主体的合谋状态往往会从不合谋状态转变为隐性状态，这一状态转移规律反映了其合谋意愿的增强。因此，本文认为，将云模型与马尔可夫模型相结合，能够有效开展对招标人与投标人合谋状态的评估与预测工作，为相关监管部门有效治理工程招投标中的合谋行为提供有益的参考建议与支持。

政府投资工程招投标领域的合谋行为严重扰乱市场竞争秩序，亟须开展系统性治理研究。本研究融合质性元分析法与模糊集定性比较分析（fsQCA），对工程招投标合谋的治理要素及其组态关系进行系统识别。通过质性元分析，提炼出法律法规完善、监督机制健全、信息公开、信用体系建设等8类核心要素；进一步运用fsQCA分析要素间协同效应，提出政府监管—社会监督型、社会监督—主体自制型及复合协同型3种治理组态。研究发现，单一要素难以有效遏制合谋，需通过多要素动态协同实现治理效能最大化。同时，研究强调技术创新与法治建设的支撑作用，为构建公平透明的招投标市场提供理论依据和实践参考。