The renewal of old communities (OCR) is a crucial component of China's urban renewal strategy. However, the huge funding gap, coupled with the unwillingness of enterprises to participate, has impeded the sustainable development of OCR in China. This issue has become a major practical challenge for the government. This study employed the modified theory of planned behavior (M-TPB) to examine enterprise behavior, focusing on how internal capabilities and external conditions influence their participation. Data was collected from 261 questionnaire surveys, and structured equation modeling was used to analyze the data. Further in-depth interviews were conducted to explain and validate the results from the SEM. The findings illustrate that: (1) the M-TPB offers a more detailed and nuanced explanation of the mechanisms influencing participation behavior; (2) the attitude towards participation is an important factor in shaping the intention to participate; (3) there is a significant negative correlation between perceived behavioral control, which is based on external conditions, and the participation intention; and (4) different types of enterprises show differences in attitude and perceived behavioral control. These findings provide new insights and perspectives on the OCR dilemma in China, highlighting some important practical implications for fostering various forms of enterprise participation in OCR projects.

The cooperative behavior of residents is complex and influenced by their complicated social relationships. This complexity is especially noticeable in neighborhood renewal, so the government does not know how to promote residents' cooperative behavior. Therefore, this study proposes an agent-based model (ABM) to investigate the development of residents' cooperative behavior in neighborhood renewal. Based on a questionnaire survey among residents of old neighborhoods in China, the parameters of ABM were determined in this study. Then, controlled experiments were conducted to investigate the effects of general trust among residents and government control of neighborhood renewal on cooperation patterns in renewal projects. In addition, this study examines the effects of different types of social network structures (small-world, scale-free, and random networks) on the evolution of residents' cooperative behaviors. The simulation results show that when residents' initial willingness to agree to renewal projects is high, their close social relationships need to be managed by the government to achieve better outcomes. Conversely, if initial willingness is low, residents' close relationships may pose a challenge to the government. In addition, government-led renewal projects should be encouraged to a greater extent. This study confirms that the different social network structures have an influence on the development of residents' cooperative behavior. The results of this study provide concrete evidence for understanding the factors that contribute to the emergence of residents' cooperative behavior and for studying the effects of government intervention on neighborhood renewal projects. In addition, the results of this study provide theoretical support for future studies of residents' social network structures.

Neighborhood regeneration has become essential component of environmental improvement, and promoting resident participation is a key aspect of effective environmental management. However, in China, the legacy of the former housing allocation system and specific cultural contexts have led to residents' psychological inertia towards participating in neighborhood regeneration. Although there has been extensive research on encouraging resident participation, most studies fail to recognize that cultivating active participation behavior among residents usually requires overcoming their existing reluctance or psychological inertia first. Grounded on the innovative notion of psychological inertia, this paper puts forth the perspective that to foster resident participation, it is imperative to initially disrupt their current participation inertia and subsequently facilitate the reconfiguration of their participation behavior. Specifically, it addresses two key research questions: (i) which factors are conducive to stimulating residents to overcome inherent psychological inertia and stimulate their positive participation attitudes? (ii) How do these stimuli shape and reconstruct residents' participation behavior? Based on the Stimulus-Organism-Response (SOR) theory and structural equation modeling (SEM), this paper unveils the mask of intrinsic mechanism for overcoming psychological inertia and reshaping residents' participation behavior. The empirical results show that three stimulating factors (information acquisition, social norms, and perceived grassroots government support) directly impact residents' participating attitudes; these stimuli reconstruct participation behavior by triggering individual psychological changes and then inducing behavioral changes. With the new insight of “overcoming psychological inertia” and the incorporation of behavioral psychology in restructuring resident participation behavior, this paper presents implementation strategies for promoting resident participation in neighborhood regeneration.

China consumes more energy and emits more carbon dioxide than any other country. The building sector accounts for nearly 1/3 of the total national energy consumption in China; thus, it is critical to find a solution for improving buildings’ energy efficiency. Under the market-oriented mechanism, constrained by the energy performance contracting (EPC) mode, energy service companies (ESCOs) play an important role in improving energy efficiency for high-energy-consumption industries, including the building sector. The aim of this study is to determine the strategy for boosting the building ESCO industry. By conducting a strength, weakness, opportunity, and threat (SWOT) analysis, this paper presented the status of the building ESCO industry in China and proposed alternative strategies. By utilizing a conventional multi-criteria decision-making method, namely, the Analytic Network Process (ANP), this study provides a quantitative basis to analytically determine the ranking of the factors in SWOT analysis and select the best strategy to promote the development of the building ESCO industry. The results showed that the ANP-SWOT is a viable and highly capable methodology that provides invaluable insights for strategic management decisions in the building ESCO industry, and a set of strategies for promoting ESCO development in the building sector were proposed based on this approach.