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This study aims to investigate impacts of classic transaction cost-related factors (i.e. partner selection cost, specific asset investment and extorting rent cost) on joint venture (JV) partner’s cooperative and opportunistic behaviour, from the perspective of transaction cost economics.

Item measurements, based on which the questionnaire was developed, were derived according to a thorough search and review of related literature. In all, 226 valid responses from manufacturing enterprises in China were collected. A structural equation modelling approach was used to analyse the data and examine the fitness of the proposed model.

This study shows that partner selection cost, specific asset investment and extorting rent cost are positively related to a JV partner’s cooperative behaviour. Specific asset investment exerts the most significant influence on partner’s cooperative behaviour. The results also reveal that partner’s opportunistic behaviour is not significantly affected by specific asset investment but is negatively influenced by extorting rent cost. Both partner selection cost and extorting rent cost show positive impacts on specific asset investment.

The investigation focused on only manufacturing enterprises in one country. Future research could be directed to investigating other countries to increase the generalizability of the findings.

The findings suggest that increasing the extorting rent cost to promote the probability of specific asset investment is a core element to enhance JV partner cooperation.

The study not only empirically investigates the relative importance of classic transaction cost-related factors on JV partner opportunism and cooperation, but also enables a deeper understanding of the interrelationship among the classic transaction cost-related factors and their influences on partner cooperation and opportunism.

In the face of rising concerns over air pollution in buildings, this study undertakes a systematic review of emerging technologies for mitigating air pollution, with the goal of devising a comprehensive framework to address air pollution in buildings. It begins by highlighting the critical backdrop of deteriorating air quality across global cities, setting the stage for an urgent inquiry into viable solutions.

This study systematically reviews the literature on emerging technologies for mitigating air pollution in buildings. In total, 2,630 related articles were identified and analyzed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method.

The findings illuminate a promising landscape of technological advancements, demonstrating significant reductions in key pollutants, including particulate matter and greenhouse gases. Innovations in filtration systems, renewable energy adoption and smart buildings emerge as pivotal in driving down pollution levels. Furthermore, the study elucidates the synergistic potential of integrating these technologies with strategic policy initiatives and community engagement efforts, highlighting the multifaceted approach required to combat air pollution effectively.

To the best of the authors’ knowledge, this study is the first to systematically review prior literature on technologies for mitigating air pollution in buildings. The significance of this study extends beyond its theoretical contributions, offering practical insights and actionable strategies for industry professionals, policymakers and researchers. It underscores the critical intersection of technology and policy in paving the way for healthier built environments, providing a blueprint for future initiatives to achieve sustainable air quality improvements.

The global construction industry faces both challenges and opportunities from electronic waste (e-waste). This study aims to present a bibliometric analysis and comprehensive literature assessment on e-waste in concrete construction materials.

This study studies 4,122 Scopus documents to examine garbage generation in different countries and inventive ways to integrate e-waste into construction as a sustainable strategy. This study lists famous researchers and their cooperation networks, demonstrating a robust and dynamic area with a surge in research output, notably from 2018 to 2022. Data is visually represented using VOS Viewer to show trends, patterns and study interests throughout time.

The findings imply that e-waste can improve construction materials’ mechanical characteristics and sustainability. The results are inconsistent and suggest further optimization. e-Waste into construction has garnered scientific interest for its environmental, life cycle, and economic impacts. This field has great potential for improving e-waste material use, developing sophisticated prediction models, studying environmental implications, economic analysis, policy formulation, novel construction methods, global cooperation and public awareness. This study shows that e-waste can be used in sustainable building. It stresses this area’s need for research and innovation. This lays the groundwork for using electronic trash in buildings, which promotes a circular economy and environmental sustainability.

The findings underscore the critical role of ongoing research and innovation in leveraging e-waste for sustainable building practices. This study lays the groundwork for integrating e-waste into construction, contributing to the advancement of a circular economy and environmental sustainability.

The social implications of integrating e-waste into construction are significant. Using e-waste not only addresses environmental concerns but also promotes social sustainability by creating new job opportunities in the recycling and construction sectors. It fosters community awareness and responsibility towards sustainable practices and waste management. Additionally, this approach can reduce construction costs, making building projects more accessible and potentially lowering housing prices.

This research contributes to the field by offering a bibliometric analysis and comprehensive assessment of e-waste in concrete construction materials, highlighting its global significance.

The generation of construction and demolition waste in China is a pressing need to be minimized in order to alleviate the environmental burden. The effectiveness of implementing construction and demolition waste management in this economy, however, is very limited due to various barriers. Therefore, this paper aims to explore the major obstacles to managing construction and demolition waste in China.

The views from Chinese practitioners were collected via a questionnaire survey. The respondents were invited to rate a total of 16 obstacles that hinder the effective implementation of construction and demolition waste management as gleaned from previous literature and six semi‐structured interviews. The results of the questionnaire were analyzed by ranking analysis and factor analysis.

The findings show that “lack of a well‐developed waste recycling market”, “insufficient regulation support” and “waste reduction does not receive sufficient attention in construction design” are perceived as the three barriers of most importance. Furthermore, the 16 obstacles could be grouped into five underlying components including: component 1 – weak awareness and inadequate training, component 2 – insufficient support of the authority, component 3 – economic consideration, component 4 – immature market and component 5 – barriers related to site activity.

Based on the findings, industry practitioners' understandings about the barriers to better performing construction and demolition waste management in China can be deepened. Furthermore, the results also provide useful information for developing strategies to improve the performance of construction and demolition waste management in China.

Major obstacles to improving the performance of construction and demolition waste management in China are identified and analyzed in this study.

This study aims to comprehensively examine the transitions in household livelihood strategies within rural China, including the underlying processes, drivers and outcomes.

This study uses two waves (2010 and 2018) of longitudinal data from the China Family Panel Studies (CFPS), employing latent cluster analysis, regression models and cumulative distribution function within a dynamic household livelihood strategy framework.

The results show that (1) households’ livelihood strategies can be categorized into four distinct types, i.e. agricultural dominated, agricultural dominated with non-agricultural supplementation, non-agricultural dominated with agricultural supplementation and employment oriented. (2) During 2010–2018, approximately 60% of households underwent transitions in their livelihoods, encompassing both upward and downward trajectories, with a prevalence of upward transitions. (3) Various forms of livelihood capital significantly contribute to upward transitions, while the availability of land resources and exposure to shocks impede the potential for upward mobility. (4) The transition towards non-agricultural livelihood strategies by households leads to a notable enhancement in their livelihood welfare.

In the context of urbanization, industrialization and globalization, rural areas in China are undergoing a gradual socioeconomic transformation, which has also led to changes in rural households’ livelihood strategies. Nevertheless, a dearth of empirical investigation exists regarding the dynamics of rural households’ livelihood strategies, the determinants behind such transitions and the resulting outcomes on their livelihoods. A comprehensive understanding of livelihood transitions can provide valuable insights for policymakers in their endeavors to promote rural revitalization in China.

Based on the nationwide representative datasets in China, it examines the micro-level livelihood transitions of rural households within the broader context of socioeconomic transformation that presents both opportunities and challenges, as well as vulnerable contexts, shaped by various government policies. This exploration would offer valuable theoretical and empirical evidence to advance our understanding of the process, driver and outcome of rural households’ livelihood transition in developing countries.

The aim of this paper is to present a comprehensive analysis of risk management in East Asia from 1998 to 2021 by using bibliometric methods and tools to explore research trends, hotspots, and directions for future research.

The data source for this paper is the Web of Science Core Collection, and 7,154 publications and related information have been derived. We use recognized bibliometric indicators to evaluate publications and visually analyze them through scientific mapping tools (VOS Viewer and CiteSpace).

The analysis results show that China is the most productive and influential country/region. East Asia countries have strong cooperation with each other and also have cooperation with other countries. The study shows that risk management has been involved in various fields such as credit, supply chain, health emergency and disaster especially in the background of COVID-19. We also found that machine learning, especially deep learning, has been playing an increasingly important role in risk management due to its excellent performance.

This paper focuses on studying risk management in East Asia, exploring its publication's fundamental information, citation and cooperation networks, hotspots, and research trends. It provides some reference value for scholars who are interested or further research in this field.

Although the tasks of managing carbon peaks and achieving carbon neutrality in China are arduous, they are also of great significance, which highlights China’s determination and courage in dealing with climate change. The power industry is not only a major source of carbon emissions but also an important area for carbon emission reduction. Thus, against the backdrop of carbon neutrality, understanding the development status of China’s power industry guided by the carbon neutrality background is important because it largely determines the completeness of China’s carbon reduction promises to the world. This study aims to review China’s achievements in carbon reduction in the electric industry, its causes and future policy highlights.

The methods used in this study include descriptive analyses based on official statistics, government documents and reports.

The research results show that, after years of development, the power industry has achieved positive results in low-carbon provisions and in the electrification of consumption, and carbon emission intensity has continued to decline. Policy initiatives play a key role in this process, including, but not limited to, technology innovations, low-carbon power replacement and supported policies for low-carbon transformation toward low-carbon economies.

This study provides a full picture of China’s power industry against the backdrop of low-carbon development, which could be used as a benchmark for other countries engaging in the same processes. Moreover, a careful review of China’s development status may offer profound implications for policymaking both for China and for other governments across the globe.

This study proposes low-carbon technology (LCT) solutions from the perspective of incremental cost-effectiveness and public satisfaction based on calculating carbon emissions and economic costs.

According to the citation frequency, 11 indicators of low-carbon neighborhood (LCN) were selected so as to construct the low-carbon renewal potential evaluation model. Five neighborhoods were selected to evaluate low-carbon renewal potential based on the driving-pressure-state-impact-response (DPSIR). Moreover, the neighborhoods with the highest renewal potential were selected for further analysis. Then, the feasibility decision was carried out among seven typical LCTs based on the value engineering (VE) method. Finally, the TOPSIS method was applied to calculate the public satisfaction and demand so as to get the priorities of these LCTs. Through comprehensive analysis, the final LCT solutions could be carried out.

Our practice proves that the evaluation model combined with the decision-making methods can provide scientific decision-making support for the LCT solutions. Some LCTs perform consistently across different neighborhoods by comparing VE results and TOPSIS rankings. The solar photovoltaic (PV) (T3) has high value and significant attention which gives it a top priority for development, while the energy-efficient windows and doors (T2) have relatively low value.

There is a lack of research that considers the economic cost, low-carbon efficiency and public satisfaction when proposing LCT solutions for neighborhood renewal projects. Faced with the problem, we practice the decision-making from two dimensions, that is, the “feasibility decision with VE” and the “priorities decision with TOPSIS.” In this way, a balance between incremental cost-effectiveness and public satisfaction is achieved, and LCT solutions are proposed.