Search Results (30)

Achieving the construction sector’s dual carbon objectives necessitates scaling green energy adoption in new residential buildings. The current literature critically overlooks four unresolved problems: oversimplified penalty mechanisms, ignoring escalating regulatory costs; static subsidies misaligned with market maturity evolution; systematic exclusion of innovation feedback from energy suppliers; and underexplored behavioral evolution of building owners. This study establishes a government–suppliers–owners evolutionary game framework with dynamically calibrated policies, simulated using MATLAB multi-scenario analysis. Novel findings demonstrate: (1) A dual-threshold penalty effect where excessive fines diminish policy returns due to regulatory costs, requiring dynamic calibration distinct from fixed-penalty approaches; (2) Market-maturity-phased subsidies increasing owner adoption probability by 30% through staged progression; (3) Energy suppliers’ cost-reducing innovations as pivotal feedback drivers resolving coordination failures, overlooked in prior tripartite models; (4) Owners’ adoption motivation shifts from short-term economic incentives to environmentally driven decisions under policy guidance. The framework resolves these gaps through integrated dynamic mechanisms, providing policymakers with evidence-based regulatory thresholds, energy suppliers with cost-reduction targets, and academia with replicable modeling tools. Full article

Container terminals are facing significant challenges in meeting the increasing demands for volume and throughput, with limited space often presenting as a critical constraint. Key areas of concern at the quayside include the berth allocation problem, the quay crane assignment, and the scheduling problem. Effectively managing these issues is essential for optimizing port operations; failure to do so can lead to substantial operational and economic ramifications, ultimately affecting competitiveness within the global shipping industry. Optimization models, encompassing both mathematical frameworks and metaheuristic approaches, offer promising solutions. Additionally, the application of machine learning and reinforcement learning enables real-time solutions, while robust optimization and stochastic models present effective strategies, particularly in scenarios involving uncertainties. This study expands upon earlier foundational analyses of berth allocation, quay crane assignment, and scheduling issues, which have laid the groundwork for port optimization. Recent developments in uncertainty management, automation, real-time decision-making approaches, and environmentally sustainable objectives have prompted this review of the literature from 2015 to 2024, exploring emerging challenges and opportunities in container terminal operations. Recent research has increasingly shifted toward integrated approaches and the utilization of continuous berthing for better wharf utilization. Additionally, emerging trends, such as sustainability and green infrastructure in port operations, and policy trade-offs are gaining traction. In this review, we critically analyze and discuss various aspects, including spatial and temporal attributes, crane handling, sustainability, model formulation, policy trade-offs, solution approaches, and model performance evaluation, drawing on a review of 94 papers published between 2015 and 2024. Full article

Remotely sensed cropland abandonment monitoring is crucial for providing spatially explicit references for maintaining sustainable agricultural practices and ensuring food security. However, abandoned cropland is commonly detected based on multi-date classification or the dynamics of a single vegetation index, with the interactions between vegetation and soil time series often being neglected, leading to a failure to understand its full-life-cycle succession processes. To fill this gap, we propose a new full-life-cycle modeling framework based on the interactive trajectories of vegetation–soil-related endmembers to identify abandoned and reclaimed cropland in Jinan from 2000 to 2022. In this framework, highly accurate annual fractional vegetation- and soil-related endmember time series are generated for Jinan City for the 2000–2022 period using spectral mixture models. These are then used to integrally reconstruct temporal trajectories for complex scenarios (e.g., abandonment, weed invasion, reclamation, and fallow) using logistic and double-logistic models. The parameters of the optimization model (fitting type, change magnitude, start timing, and change duration) are subsequently integrated to develop a rule-based hierarchical identification scheme for cropland abandonment based on these complex scenarios. After applying this scheme, we observed a significant decline in green vegetation (a slope of −0.40% per year) and an increase in the soil fraction (a rate of 0.53% per year). These pathways are mostly linked to a duration between 8 and 15 years, with the beginning of the change trend around 2010. Finally, the results show that our framework can effectively separate abandoned cropland from reclamation dynamics and other classes with satisfactory precision, as indicated by an overall accuracy of 86.02%. Compared to the traditional yearly land cover-based approach (with an overall accuracy of 77.39%), this algorithm can overcome the propagation of classification errors (with product accuracy from 74.47% to 85.11%), especially in terms of improving the ability to capture changes at finer spatial scales. Furthermore, it also provides a better understanding of the whole abandonment process under the influence of multi-factor interactions in the context of specific climatic backgrounds and human disturbances, thus helping to inform adaptive abandonment management and sustainable agricultural policies. Full article

It is known that bio-physical alterations in ecosystems change the relationships between people and their environments. The urban ecosystems cannot be managed without considering the role of green spaces. In Pakistan, many such eco-systems exist, regulated and monitored by well-established authorities. However, they do not have practical frameworks to manage them. In this context, this research examines the decline of the natural ecosystems of Lahore and the roles and responsibilities of the authorities towards this decline. This research employs both qualitative and quantitative methods to gather data: questionnaires, interviews and satellite observations. Questionnaires administered by the researchers gathered information from the people taking care of these places and interviews with the people responsible for planning and managing the city ascertained the issues related to monitoring and maintenance of the green spaces. Satellite data provided information related to the changes in land use from 2010–2018, which indicated diminishing green spaces. The findings reveal extensive transformations in land use and a significant increase in built-up land, resulting from irregular and unmonitored expansion of the city. These indicate that the decline of the natural ecosystems of Lahore is a result of two failures of the authorities: ineffective implementation of policies and poor coordination among stakeholders. Weaknesses in the maintenance of the eco-systems and negligence in the monitoring systems have also contributed. This research therefore concludes that the poor monitoring system has led to the decline of the natural ecosystems and an increase in random and synthetic growth of the city of Lahore despite it having a well-established network and laws. Full article

Meeting renewable energy targets is one of the most significant global challenges to achieving SDG 7—Ensure access to affordable, reliable, sustainable, and modern energy for all. This study focuses on the global energy transition to understand the factors that influence success or failure in achieving targets. First, the gap between the stated targets and our predictions was calculated. Next, the roles of economic, political, and environmental variables in determining this gap were analyzed. Data were collected from 63 countries from 2000 to 2022, ensuring the global representativeness and robustness of the results. Many countries may struggle to meet their renewable energy targets. Political stability, regulatory quality, and investment freedom play a remarkable role in helping countries get closer to achieving their targets. More industrialized countries with large populations face greater challenges due to high energy intensity. This paper aims to predict the propensity of countries to meet their energy targets by integrating the forecasting and analysis of the economic, political, and geographical factors that influence a green transition. The results provide new insights into how socioeconomic and geopolitical differences influence the energy transition, offering insights for more effective policies. It is argued that accelerated administrative procedures are needed to reduce investment uncertainty and improve energy systems’ flexibility. In addition, involving local communities in the decision-making process is important to ensure the acceptance of RE projects. Finally, introducing energy markets that reflect the characteristics of renewable sources is recommended to facilitate a more rapid and sustainable transition. Full article

This study aims to explore innovative adaptation strategies that can effectively mitigate the climate threats faced by transportation infrastructure in Lagos, Nigeria. The study highlights the urgent need for innovative approaches to address the challenges posed by climate change to transportation systems. By analyzing the current vulnerabilities and potential impacts of climate change on transportation infrastructure, the authors identify and propose four current challenges facing transportation infrastructure as a result of climate change. These threats include the impact of rising sea levels on coastal roads and bridges, the vulnerability of inland transportation systems to extreme weather events such as floods and heavy rainfall, the potential disruption of transportation networks as storms become more frequent and intense, and the implications of temperature changes on road surfaces and their structural integrity. The study also identified and proposed ten potential adaptation measures that can enhance the resilience of transportation systems in Lagos, Nigeria. The adaptive measures ranged from increasing the resilience of road networks through the implementation of proper drainage systems and slope stabilization measures to forming partnerships with private sector companies to promote sustainable practices and the development of green transportation initiatives. To facilitate these adaptive measures, the authors used them to develop various policy frameworks for transportation resilience in Lagos, Nigeria. These policy frameworks aimed to provide guidelines and regulations for the implementation of adaptive measures, ensuring their effective integration into the transportation system. The authors emphasized the importance of stakeholder engagement and public participation in decision-making processes to foster a sense of ownership and collective responsibility towards building resilient transportation systems. By adapting to these measures, Lagos, Nigeria, can enhance its ability to withstand and recover from transportation disruptions caused by various hazards, such as extreme weather events, infrastructure failures, or security threats. Full article

Under the double pressures of economic growth and ecological environment protection, sea green transformation and the sustainable development of mariculture are critical. This paper constructs an evolutionary game model with the government as the main body and mariculture farmers (enterprises) as the main body and puts forward the research hypothesis. Based on 2006–2019 longitudinal data of nine provinces along China’s coast, using multi-period Difference-in-Difference (DID) and dual robust estimation, we empirically investigate the national oceanic ranch demonstration zones for the influence of the green sea aquaculture and their mechanism of action. The results showed that (1) the efficiency of green level of mariculture industry in China is not high, and the establishment of national marine pasture demonstration zone has not effectively promoted the improvement of green level of mariculture industry; (2) the institutional environment, unreasonable industrial structure, and lack of scientific and technological innovation have an effect on the national oceanic ranch demonstration area as the main causes of failure to effectively promote marine green farming; (3) the establishment of the national multi-period demonstration area in the north significantly hindered the growth of the green level of mariculture and fell into the “policy trap”, while the establishment of the national multi-period demonstration area in the south significantly promoted the growth of the green level of mariculture. The conclusions of this paper provide an empirical basis and reference for the improvement of the national marine pasture demonstration zone policy and the green transformation of mariculture to a certain extent. Full article

Protecting people from the risks associated with products is a critical concern in today’s economy. Pakistan, being the world’s fifth most populous country, lacks the framework of warning labels and therefore faces a significant gap in product warning labels. Pakistan is a representative of a number of countries that export a variety of products to Pakistan; however, warning labels on these goods are typically in English, which might mislead people of Pakistan in perceiving the hazard level. It is therefore imperative to conduct research into the non-textual and cross-cultural understanding of labels from the perspective of Pakistan. This study examined the applicability of ANSI Z535.4 in the context of Pakistan. A total of 66 (34 male and 32 female) undergraduate students with a mean age of 20.5 participated in this study. A meticulous experiment was designed using a nine-point rating scale with anchors on both sides, where one represented ‘not at all hazardous’ and nine represented ‘extremely hazardous’. Participants rated each component of warning labels, i.e., color, symbol, signal words, and their complex configurations. The results showed alignment with the ANSI Z535.4 standards for some components (i.e., colors, symbols, and signal words) and complex configurations, whereas no significant difference was found in perceived hazard levels between green (M = 3.167), blue (M = 3.591, and yellow (M = 3.652) colors, with a p-value greater than 0.05. Participants did not differentiate significantly between signal words, i.e., caution (M = 5.182) and warning (M = 5.879). Participants also did not differentiate significantly between complex configurations, i.e., safety alert–caution–yellow (M = 5.076) and safety alert–warning–orange (M = 5.197), with p-values greater than 0.05. These results state that discrepancies in the perception of warning labels exist. This study is the first of its kind conducted in the context of Pakistan, which will help policy makers to consider the findings before implementing a policy. In fact, differences in perception could result in failure to take appropriate precautions. Nonetheless, these nuances can be overcome with proper awareness through training for the people. Full article

Amid global climate change and population growth, the prevalence of saline–alkali lands significantly hampers sustainable agricultural development. This study employs theories of asymmetric information and bounded rationality to construct an evolutionary game model, analyzing the interactions among small farmers, family farms, and seed industry enterprises in the context of saline–alkali land management. It investigates the strategic choices and dynamics of these stakeholders under the influence of economic incentives and risk perceptions, with a focus on how government policies can foster green development. Utilizing Delay Differential Equations (DDEs) for simulations, this study highlights the risk of “market failure” without government intervention and underscores the need for government participation to stabilize and improve the efficiency of the green development process. The findings reveal that factors such as initial willingness to participate, the economic viability of salt-tolerant crops, seed pricing, research and development costs, and the design of incentive policies are crucial for sustainable land use. Accordingly, the paper proposes specific policy measures to enhance green development, including strengthening information dissemination and technical training, increasing the economic attractiveness of salt-tolerant crops, alleviating research and development pressures on seed companies, and optimizing economic incentives. This study provides a theoretical and policy framework for the sustainable management of saline–alkali lands, offering insights into the behavioral choices of agricultural stakeholders and supporting government strategies for agricultural and environmental protection. Full article

The equipment in a factory will gradually deteriorate during production, leading to the production of defective products. Without appropriate maintenance, the defect rate will increase over time. Consequently, the production cost will rise, the inventory quality will be affected, the profit will decrease, and the risk of carbon emissions will increase, leading to more customer complaints and damaging the corporate image. In addition to focusing on preventive maintenance to ensure the quality of products, companies should also take carbon emissions into consideration. Furthermore, the frequency of maintenance must be carefully considered, as both carbon emissions and maintenance costs will increase if the frequency is too high; conversely, if the maintenance frequency is too low or non-existent, the defect rate may increase cumulatively, or production may be suspended due to equipment failure. Therefore, this research explores preventive maintenance and inventory management issues within an imperfect production system and develops an extended economic production quantity model that incorporates defective products as well as taking carbon tax and preventive maintenance into consideration. The main purpose is to determine the optimal maintenance frequency, production, and replenishment cycle length, so as to maximize the total profit under the carbon tax policy. This study demonstrates a computing process with relatively impractical product data based on the actual business situation of a disposable diaper manufacturer. Furthermore, a sensitivity analysis is implemented to the model parameters in the proposed model. The managemental insights are illustrated based on the results of theoretical analysis to provide a reference to policy makers during decision making, hence, to secure the sustainability and green transitions of corporates. The results of this study not only help to reduce environmental impact but can also improve the competitiveness and sustainable development of enterprises. Full article

Cities—being places where both growth at large and human activity concentrate to the maximum extent, as well as being places of creation, innovation, and development—have been facing the challenge of adaptation to changing climate conditions. Successive greening of urban spaces is becoming an indicator of civilisational progress and one of the most important aspects of sustainable urban development and quality of life of city dwellers. It also represents a part of the sustainable management of natural resources and energy in the urban environment. This article addresses the subject of urban space greening, perceived as one of the ways of mitigating the effects of climate change. The study focuses on a comparative analysis of various planning and implementing activities related to green areas, as well as on available quantitative data on the greening and climate change adaptation of 44 Polish cities with urban adaptation plans (UAPs) in place. The research, covering the years 2017–2023, identifies the variety of urban greening methods, initiatives, and tools used in the process of urban planning and urban design. The results of the study showed that measures planned by local authorities lacked detailed tools as well as a long-term and systemic approach to greenery, energy, and space management. On the other hand, what was observed in the implementation was an apparent prevalence of urban acupuncture spots and a failure to make the most of all the benefits of the adaptive, social, and ecosystem-forming role of urban greening. The authors imply that their research can be used to formulate conclusions and guidelines for urban development policies which highlight the role and raise the importance of the greening of Polish cities under all urban investments, particularly in the process of adaptation of urban areas to climate change. Full article

In Europe, more than two-thirds of the population live in urban areas. The management of urban green areas and trees is becoming increasingly relevant involving different players and stakeholders, as well for keeping a focus on the Sustainable Development Goals. Society and policy makers are often unaware of the disservices that neglecting these areas can cause. Appropriate monitoring interventions can protect both citizens and trees themselves. The aim of the study was to assess the risk potential in urban trees in Bologna suburbs (Italy). For each tree in the city of Bologna, three target variables identifying the number and categories of streets, buildings, and walking and cycle paths near the tree were considered and used as covariates. A multiple regression model assessing the relationship between a dependent synthetic spatial variable (digital number, DN), proxy of the likelihood of tree failure, and the three independent covariates was estimated. Both the number of streets and walking and cycle paths in the area surrounding a tree are shown to be significantly associated with the DN value. The use of open data can assist in monitoring and maintaining urban green areas. The tool supports a virtuous circle between stakeholders in urban systems through sustainability and efficiency. Full article

With the growing severity of global environmental issues, the international community has reached a consensus on the importance of reducing and controlling carbon emissions. As a result, an increasing number of consumers are opting to purchase green products in order to reduce the emission of greenhouse gases. This trend has prompted supply-chain enterprises to invest in green innovation. Simultaneously, carbon tax policies have gained significant attention from governments worldwide due to their dual role as environmental laws and fiscal-policy tools. Considering consumers’ preference for green products and the risk of R&D failure associated with them, this study focuses on the effects on emissions reductions and profits associated with different carbon tax policies for a green supply chain consisting of a manufacturer and a retailer. The results reveal that (1) increases in the carbon tax per unit of product motivate the manufacturer to increase R&D efforts; (2) wholesale and retail prices follow a pattern of initial increase and subsequent decrease as the carbon tax per unit of product rises; (3) higher carbon taxes per unit of product generally lead to lower manufacturer profits, while both carbon emissions and retailer profits can increase with a per-unit carbon tax under certain circumstances; and (4) the increase in the proportion of the population with green preferences can yield long-term benefits for both the retailer and the manufacturer, yielding an inverted U-shaped relationship with carbon emissions. Full article

Executive stock incentives, as an important tool for attracting talent and achieving long-term development goals, have a profound impact on the development of green innovation in enterprises. Based on this, this article uses data from Chinese listed companies from 2007 to 2020 and employs a two-way fixed effects model and a two-stage least squares method to explore the impact of executive stock incentives on green innovation in China. The study found that executive stock incentives have a significant positive impact on green innovation in enterprises. This promotional effect is more pronounced in non-state-owned enterprise groups characterized by operating losses, reduced institutional holdings, and fewer negative media reports. Mechanism analysis suggests that increasing the intensity of executive stock incentives can enhance profitability, increase tolerance for failure, and promote increased investment in green innovation. Finally, based on the conclusions, relevant policy implications are drawn. Full article

Swedish policies aim at conserving biological production, biodiversity, cultural heritage and recreational assets. This requires compositionally and structurally functional networks of representative habitats, the processes that maintain them, and resilient ecosystems. The term green infrastructure (GI) captures this. We review (1) policy concerning forest biodiversity conservation from the 1990s; (2) the implementation outputs, including the formulation of short-term and evidence-based long-term goals for protected areas, education, and the development of hierarchical spatial planning; (3) the consequences in terms of formally protected and voluntarily set-aside forest stands, as well as conservation management and habitat restoration. We assess the successes and failures regarding policy, outputs and consequences, discuss challenges to be addressed, and suggest solutions. Policies capture evidence-based knowledge about biodiversity, and evidence-based conservation planning as an output. However, the desired consequences are not met on the ground. Thus, the amount of formally protected and voluntary set-aside forests are presently too low, and have limited quality and poor functional connectivity. GI functionality is even declining because of forestry intensification, and insufficient conservation. Challenges include limited collaborative learning among forest and conservation planners, poor funding to conserve forest habitats with sufficient size, quality and connectivity, and national politics that ignores evidence-based knowledge. As solutions, we highlight the need for diversification of forest management systems with a landscape perspective that matches forest owner objectives and regional social-ecological contexts. This requires integrative approaches to knowledge production, learning and spatial planning. Full article