Search Results (47)

The construction sector significantly contributes to global environmental degradation through intensive resource extraction, high energy consumption, and substantial waste generation. Addressing this unsustainable trajectory requires integrated approaches that simultaneously improve operational efficiency and material circularity. Lean Construction (LC) and Circular Economy (CE) offer complementary frameworks for enhancing process performance and reducing environmental impacts. However, their combined implementation remains underdeveloped and fragmented. This study conducts a systematic literature review (SLR) of 18 peer-reviewed articles published between 2010 and 2025, selected using PRISMA 2020 guidelines and sourced from Scopus and Web of Science databases. A mixed-method approach combines bibliometric mapping and qualitative content analysis to investigate how LC and CE are jointly operationalized in construction contexts. The findings reveal that LC improves cost, time, and workflow reliability, while CE enables reuse, modularity, and lifecycle extension. Integration is further supported by digital tools—such as Building Information Modelling (BIM), Design for Manufacture and Assembly (DfMA), and digital twins—which enhance traceability and flow optimization. Nonetheless, persistent barriers—including supply chain fragmentation, lack of standards, and regulatory gaps—continue to constrain widespread adoption. This review identifies six strategic enablers for LC-CE integration: crossdisciplinary competencies, collaborative governance, interoperable digital systems, standardized indicators, incentive-based regulation, and pilot demonstrator projects. By consolidating fragmented evidence, the study provides a structured research agenda and practical insights to guide the transition toward more circular, efficient, and sustainable construction practices. Full article

The digital economy presents multiple challenges to the promotion of green technologies, including behavioral uncertainty among firms, heterogeneous technological choices, and disparities in policy incentive strength. This study develops a tripartite evolutionary game model encompassing government, production enterprises, and technology suppliers to systematically explore the strategic evolution mechanisms underlying green technology adoption. A three-dimensional nonlinear dynamic system is constructed using replicator dynamics, and the Broyden–Fletcher–Goldfarb–Shanno (BFGS) algorithm is applied to identify key cost and benefit parameters for firms. Simulation results exhibit a strong match between the estimated parameters and simulated data, highlighting the model’s identifiability and explanatory capacity. In addition, the stability of eight pure strategy equilibrium points is examined through Jacobian analysis, revealing the evolutionary trajectories and local stability features across various strategic configurations. These findings offer theoretical guidance for optimizing green policy design and identifying behavioral pathways, while establishing a foundation for data-driven modeling of dynamic evolutionary processes. Full article

In China, the recycling system for waste tires is characterized by high output but low standardized recovery rates. This study examines the environmental and health risks caused by non-compliant treatment by individual recyclers and explores the barriers to the large-scale adoption of Pyrolysis Technology. A Tripartite Evolutionary Game Model involving pyrolysis plants, waste tire recyclers, and government regulators is developed. The model incorporates pollutants from pretreatment and pyrolysis processes into a unified metric—Carbon Dioxide Equivalent (CO₂-eq)—based on Global Warming Potential (GWP), and designs a Differential Carbon Taxation mechanism accordingly. The strategy dynamics and stability conditions for Evolutionary Stable Strategies (ESS) are analyzed. Multi-scenario numerical simulations explore how key parameter changes influence evolutionary trajectories and equilibrium outcomes. Six typical equilibrium states are identified, along with the critical conditions for achieving environmentally friendly results. Based on theoretical analysis and simulation results, targeted policy recommendations are proposed to promote standardized waste tire pyrolysis: (1) Establish a phased dynamic carbon tax with supporting subsidies; (2) Build a green market cultivation and price stabilization system; (3) Implement performance-based differential incentives; (4) Strengthen coordination between central environmental inspections and local carbon tax enforcement. Full article

Against the dual backdrop of the “digital countryside” initiative and the development of ecological civilization, the construction of smart green villages has increasingly emerged as a vital pathway for improving rural ecological environment. This study utilizes a three-dimensional framework—including strategic choice, influencing factors, and simulation practice—to construct an evolutionary game model involving the government, enterprises, and villagers. A systematic simulation is conducted based on a field case from Village P in the hilly region of Hunan Province, China. The results of the study reveal the following: (1) Under the combination of high financial incentives, low technical support, and high villager participation, the ecosystem achieves the most stable and positive evolution. Moreover, collaborative governance outperforms unilateral control. (2) Financial support, technological provision, and environmental awareness constitute the three core variables driving the evolution of ecological governance. (3) Cognitive feedback mechanisms significantly influence the dynamic trajectory of green behaviors in enterprises. (4) The simulation results indicate a risk of “sub-stable” divergence in the collaborative mechanism. Furthermore, the stability of the governance system heavily relies on the alignment between policy configuration and information structure. This study offers theoretical support and empirical validation for the institutional design of and strategic interventions for smart green villages, serving as a valuable reference for local-level implementation. Full article

The modern system of higher education and research is undergoing deep institutional transformations, accompanied by changes in funding mechanisms, increased competition, the growing importance of project forms of scientific activity organization, and more complex requirements for performance. In the conditions of digital transformation and institutional instability, higher education faces the need to form sustainable smart management systems. The modern understanding of smart education goes beyond e-learning and includes the intellectualization of all levels of organization of educational and scientific activities. This requires the creation of new models capable of integrating the behavior of teachers and researchers in the context of digital, project, and institutional logics. Thus, the task of building intelligent models capable of reflecting the complex, multi-layered structure of interactions between researchers, organizations, forms of support, and the system of evaluation of scientific work becomes relevant. This article proposes an agent-based approach to modeling the process of formation of scientific knowledge, considered as a key element of the sustainable development of scientific and educational environment. The model reflects the interaction of agents—researchers with different characteristics: age, qualification level, scientific productivity, affiliation, and trajectory of professional development. The modeling results allow us to draw conclusions about the regularities of the reproduction of scientific potential, the factors of academic environment sustainability, and the effectiveness of institutional support mechanisms. The obtained results have both theoretical and applied significance. The model can be used to forecast the effectiveness of science policy, assess the risks and prospects of scientific teams, and justify incentive systems and the long-term design of the development of scientific organizations. The presented approach allows us to form a comprehensive view of the dynamics of scientific knowledge in the context of sustainable management in higher education. Full article

Amid accelerating population aging and the rapid evolution of digital technologies, the digital transformation of rural elderly care services has become a pivotal strategy for restructuring the rural elderly care system. This study identified the local government, rural elderly care service centers, and the elderly population as the principal stakeholders, and developed a tripartite evolutionary game-theory model to examine the dynamic strategic interactions among these actors under the influence of digital technologies. The model further investigated the evolutionary trajectories and equilibrium conditions of their behavioral strategies. Numerical simulations conducted via MATLAB were employed to validate and visualize the model outcomes. The findings revealed the following. (1) The evolutionary equilibrium of digital elderly care service development in rural areas is jointly determined by the strategic choices of the three parties, with its stability shaped by a complex interplay of cost structures, incentive mechanisms, and utility outcomes. (2) Cost factors exhibit heterogeneous effects across stakeholders. Specifically, excessive regulatory costs diminish the performance incentives of local governments, digital infrastructure and operational expenditures influence service centers’ capacity for precision-oriented service delivery, and the participation of the elderly is constrained by affordability thresholds. (3) Local government behavior demonstrates a pronounced sensitivity to incentives. In particular, rewards and social reputation conferred by higher-level governmental bodies exert a significantly stronger influence than punitive measures. (4) Government subsidies for digital transformation enhance cross-stakeholder synergy through dual transmission channels. Nonetheless, excessive subsidies may escalate fiscal risk, while moderately calibrated penalty mechanisms effectively curb moral hazard within service centers. This study advances theoretical understanding of multi-stakeholder coordination in the context of digitally enabled rural elderly care and provides actionable insights for policymakers aiming to formulate interest-aligned strategies and construct resilient, intelligent governance systems for elderly care. Full article

The intelligent connected vehicle (ICV) industry encounters substantial challenges related to technology, policies, and funding. Its development relies not only on the close collaboration and technological innovation between carmakers and technology companies but also on the support of government’s incentive policies. Therefore, this paper establishes a tripartite evolutionary game model that involves governments, carmakers, and technology companies to investigate the stability equilibrium strategy of multi-party participation in promoting the development of the ICV industry. In addition, by analyzing relevant regulations and company annual reports, this paper conducts a simulation analysis to examine how government incentive policies and benefit distribution mechanisms impact the evolutionary trajectory. Several insightful and practical conclusions are drawn. First, in the early stages of industrial development, the government’s infrastructure investment could promote the cross-border innovation cooperation between carmakers and technology companies, thereby accelerating the advancement of ICVs; however, the long-term impact of the sustained investment remains limited. Second, the incremental government subsidies for carmakers and technology companies within limits could increase the probability of them choosing to cooperate and innovate with each other. Still, the excessive subsidies could result in unstable industry growth. Finally, the increase in the benefit distribution ratio for carmakers with professional technology in automotive technology and vehicle design has a positive effect on the development of the ICV industry. This paper expands the research scope of ICVs and provides theoretical insights for promoting the sustainable development of the ICV industry from policy and market viewpoints. Full article

Measuring financial performance is pivotal not only for assessing a firm’s current health but also for informing strategic decisions that shape its long-term trajectory. This study investigates how macroeconomic volatility affects the firm profitability across five major sectors in Türkiye—industrial manufacturing, food, beverage and tobacco, chemicals and plastics, technology, and energy—during the turbulent period from 2016 to 2023. Using return on assets (ROA) and return on equity (ROE) as performance indicators, we apply panel data regression to test the impact of inflation, interest rates, unemployment, and a novel Macroeconomic Stress Index (MSI), which combines inflation and exchange rate volatility. The results reveal significant sectoral differences: firms in chemicals and manufacturing outperformed others in ROA, likely benefiting from export incentives and scale efficiencies, while energy and food sectors underperformed, constrained by regulations and cost rigidity. Notably, MSI showed a consistent and significant positive effect on both ROA and ROE, suggesting that many firms responded to macroeconomic stress by restructuring operations and improving efficiency. In contrast, interest rates had a strong negative effect on profitability, confirming the sensitivity of firms to financing costs. These findings underscore the need for targeted sector-level policy support and highlight the importance of internal adaptive capabilities in maintaining the firm’s performance under sustained economic stress. Full article

In the 21st century, China’s electric vehicle (EV) industry has demonstrated remarkable growth, rapidly catching up with and surpassing other nations in scale and development. Understanding the policy mechanisms behind this rapid ascent is crucial for analyzing the evolution of China’s EV sector and making informed decisions for its future development. This study provides a comprehensive analysis of the evolution of China’s EV policies from 2009 to 2023, with projections through 2027, using a mixed-method approach that incorporates text mining, co-word network analysis, and BERT-based trajectory models to explore the operational logic of various policy frameworks and predict future policy directions. The study findings reveal distinct phases in the evolution of China’s EV policies. Initially, the focus was on building industrial capacity through supply-side measures, laying the foundation for growth. As the industry matured, policies expanded to include demand-side incentives and environmental regulations, reflecting a shift towards a balanced and sustainable approach. Our research shows that early policy decisions significantly influenced later adjustments, highlighting the role of path dependence. By mapping the trajectory of China’s EV policies, this study offers a framework for predicting future trends, providing guidance for Chinese policymakers and offering strategies that would allow other countries to effectively compete with China. Ultimately, this research underscores the importance of adaptive and coordinated policy strategies for fostering sustainable growth in strategic industries, providing valuable lessons for China and beyond. Full article

The carbon quota trading mechanism is considered one of the most effective incentives for carbon reduction to address global climate change. Currently, the EU has adopted this mechanism to intervene in the zero-carbon transition of shipping companies. Unlike other businesses, the shipping market experiences cyclical changes and high uncertainty, with many factors and complex systems involved in the zero-carbon transition process. Research on the impact of dynamic penalty mechanisms combined with government incentive policies on the zero-carbon transition of shipping companies is relatively scarce. To explore this process under such mechanisms, an evolutionary game model of shipping companies’ zero-carbon transition considering dynamic penalties and carbon quota trading was constructed. The model analyzes the effects of factors such as carbon trading prices, emission reductions resulting from zero-carbon transition, government supervision costs, supervision intensity, subsidy values, and penalty caps on the transition process and performs a simulation analysis. The results indicate the following: (1) Under dynamic penalty mechanisms, the evolutionary trajectories of both government and shipping companies spiral towards a unique evolutionary stable strategy, addressing the shortcomings of static penalty mechanisms. (2) Government supervision costs negatively impact the zero-carbon transition of shipping companies, while supervision intensity has a positive effect. Government subsidies positively affect transition strategies but have a minor impact. Increasing the penalty cap benefits the zero-carbon transition of companies. (3) There is a critical point for carbon trading prices corresponding to changes in zero-carbon transition strategies, providing a basis for companies to decide whether to buy or sell carbon emission trading rights. Additionally, government regulatory changes lag behind the changes in companies’ zero-carbon transition behaviors. The results provide significant insights for government strategy formulation and investment in zero-carbon transition under the carbon quota trading mechanism. Full article

This study aimed to examine the growth of social enterprises, their operational diversity and impact, and their characteristics from the stakeholders’ perspective focusing on the diversity and influence of social enterprises in the Republic of Korea. Based on data from periodical reports, newspaper articles, and the existing academic literature, this study provides insights into the diversity and influence of social enterprises in Korea. This study suggests that the growth of Korean social enterprises is rooted in extensive government support, including financial subsidies, tax benefits, and technological innovation incentives. We found that the landscape includes officially recognized social enterprises and other entities that, while not formally certified, fulfill similar roles by embodying social values within diverse institutional frameworks. These enterprises have diversified to engage various social issues, from job creation for marginalized groups to environmental sustainability and community development. Effective stakeholder engagement fostered diversity and inclusiveness within these organizations. A limitation of this study is the use of secondary sources. Future research should use more diverse data collection methods and examine a broader range of social enterprises, including non-certified ones. This study contributes to the discourse on social enterprise by highlighting the trajectory of social enterprise development, the critical role of government support, and the importance of stakeholder engagement to promote diversity. It also provides insights into the diversity and role of social enterprises in Korea and their potential to address socio-economic issues. Full article

Net metering (NM) is among the potent regulatory tools used globally for supporting distributed generation and renewable energy sources. This paper examines the trajectory of NM in a developing country such as Pakistan, analyzing the impact of regulatory changes, confidence-building strategies, hindering factors, and technical/financial issues. The three-stage methodology involves three components, namely techno-economic analysis, stakeholder engagement surveys, and impact analysis of financing mechanisms. This study emphasizes the importance of clear regulatory and financial frameworks, grid upgrades, and public–private partnerships for technology distribution in the context of a developing country with weak grid utilities and an import–export energy ratio. It also explores the role of financial incentives, such as tax breaks and subsidies, to encourage investment in NM systems from the perspective of lucrative rates, impact on paybacks, and return on investments, and proposes concrete solutions to enhance financial inclusion for ambitious renewable energy goals. Until April 2023, over 56,000 NM/distributed generation facilities were commissioned, with an installed capacity of 950 MW. By May 2024, the number of NM consumers reached ~100,000, with a 1950 MW capacity, nearly doubling. However, the import and export ratio of IESCO changed most, with 61% exports and 39% imports, directly impacting the revenue stream. A total of 60% of banks have adopted actions linked with green banking criteria, aiming to limit their environmental impact. The change in tariff will result in reduced ROI for NM consumers to 20%, and increase the payback period from less than 4 years to 13 years. Government subsidies, tax breaks, and green financing frameworks are proposed to encourage investment, but have been abruptly halted, and were previously at a 6% interest rate. This research aims to provide insights into effective market evaluation methodologies for NM programs and offer policy recommendations to strengthen legislative and institutional frameworks governing NM. Full article

Given the rapid advancements in kinetic pursuit technology, this paper introduces an innovative maneuvering strategy, denoted as LSRC-TD3, which integrates line-of-sight (LOS) angle rate correction with deep reinforcement learning (DRL) for high-speed unmanned aerial vehicle (UAV) pursuit–evasion (PE) game scenarios, with the aim of effectively evading high-speed and high-dynamic pursuers. In the challenging situations of the game, where both speed and maximum available overload are at a disadvantage, the playing field of UAVs is severely compressed, and the difficulty of evasion is significantly increased, placing higher demands on the strategy and timing of maneuvering to change orbit. While considering evasion, trajectory constraint, and energy consumption, we formulated the reward function by combining “terminal” and “process” rewards, as well as “strong” and “weak” incentive guidance to reduce pre-exploration difficulty and accelerate convergence of the game network. Additionally, this paper presents a correction factor for LOS angle rate into the double-delay deterministic gradient strategy (TD3), thereby enhancing the sensitivity of high-speed UAVs to changes in LOS rate, as well as the accuracy of evasion timing, which improves the effectiveness and adaptive capability of the intelligent maneuvering strategy. The Monte Carlo simulation results demonstrate that the proposed method achieves a high level of evasion performance—integrating energy optimization with the requisite miss distance for high-speed UAVs—and accomplishes efficient evasion under highly challenging PE game scenarios. Full article

Growing rates of childhood obesity globally create concern for individuals’ health outcomes and demands on health systems. While many policy approaches focus on macro-level interventions, we examine how the type of stability of a family structure might provide opportunities for policy interventions at the micro level. We examine the association between family structure trajectories and childhood overweight and obesity across three Anglophone countries using an expanded set of eight family structure categories that capture biological relationships and instability, along with potential explanatory variables that might vary across family trajectories and provide opportunities for intervention, including access to resources, family stressors, family structure selectivity factors, and obesogenic correlates. We use three datasets that are representative of children born around the year 2000 and aged 11 years old in Australia (n = 3329), the United Kingdom (n = 11,542), and the United States (n = 8837) and nested multivariate multinomial logistic regression models. Our analyses find stronger relationships between child overweight and obesity and family structure trajectories than between child obesity and obesogenic factors. Children in all three countries are sensitive to living with cohabiting parents, although in Australia, this is limited to children whose parents have been cohabiting since before their birth. In the UK and US, parents starting their cohabitation after the child’s birth are more likely to have children who experience obesity. Despite a few differences across cross-cultural contexts, most of the relationship between family structures and child overweight or obesity is connected to differences in families’ access to resources and by the types of parents who enter into these family structures. These findings suggest policy interventions at the family level that focus on potential parents’ education and career prospects and on income support rather than interventions like marriage incentives. Full article

In the US, agriculture rapidly expanded beginning in the 1850s, influenced by homesteader policies and new technologies. With increased production also came widespread land-use/land-cover change. We analyze historical agricultural policies and associated land and water use trajectories with a focus on the Southern Great Plains (SGPs). Rapid changes in agriculture and reoccurring drought led to the infamous Dust Bowl, triggering new agricultural and land management policies, with lasting impacts on the landscape. To understand historical agricultural change, we use mixed methods, including archival literature and historical agricultural census data (1910 to 2017) from three counties in a tri-state (Oklahoma, New Mexico, Colorado) area of the SGPs. Our archival policy and agricultural census analysis illustrates 110 years of agricultural change, showing that agricultural policies and technological advances play an integral role in the development of agroecological systems, especially the Conservation Reserve Program (CRP), the Environmental Quality Incentives Program (EQIP), and the Livestock Forage Disaster Program (LFP). Further, while communities began with distinct agricultural practices, agricultural policy development resulted in increasing uniformity in crop and livestock practices. The results suggest that there are sustainability lessons to be learned by looking to the land and water trajectories and accompanying unintended consequences of the past. Full article