Search Results (17,214)

The aim of this study is to clarify the calculation of economic compensation within the urban emergency transportation capacity requisition mechanism during public health emergencies. This paper establishes an emergency capacity pool for social vehicles at three levels—city, county, and community. The pool primarily targets third-party logistics enterprises, supported by temporary transportation capacity from social sources. Considering requisition expenses, financial losses, economic incentives, and other relevant factors, a mathematical model is proposed using cost analysis to determine compensation for transportation capacity requisition. A cost correction coefficient is introduced to calculate the compensation standard for urban emergency capacity requisition. Finally, the model’s validity is verified through a case study of an urban public health emergency. The results indicate that applying a fixed cost modification coefficient of 1.04:1:1.92 and a variable cost modification coefficient of 1.06:1:3.50 for the three types of vehicles can standardize requisition compensation calculations. This approach provides an objective, scientific benchmark for market reference and reduces discrepancies in compensation calculations between the government and enterprises during emergency requisitions. This paper also establishes theoretical foundations for standardizing regulations on compensation for urban emergency capacity requisitions. Full article

Over-indebtedness is an increasingly serious issue among young people in China. Using Atlas.ti, this study analyzes textual data from the online community “Debtors Avengers” on Douban.com, applying a combined framework of life cycle and credit liberalization hypotheses. The findings reveal that youth indebtedness is not solely driven by irrational consumer behavior but is closely linked to economic activities during specific life stages. Structurally, it reflects sociofinancial digitization and normalized credit use. Factors such as life circumstances, financial literacy, labor market instability, and public safety risks contribute to a “debt spiral”. Addressing these challenges requires the refinement of financial policies, enhanced education, and intervention in financial aggression. Full article

A systematic understanding of the spatial-temporal evolution patterns of cultivated land fragmentation (CLF), its driving factors, and its relationship with the expansion of urban and rural construction land is essential for identifying strategies to mitigate CLF in rapidly urbanizing regions. This study combined landscape fragmentation with ownership fragmentation, analyzing CLF through three dimensions: resource endowment, spatial concentration, and convenience of utilization, with eight selected indicators. By comparing village-level data from 2013 to 2022, we explored the key drivers of CLF and its conflicts with urban and rural construction land expansion. The findings indicate a clear spatial variation in village-level CLF in Ezhou, characterized by low fragmentation in the northwest and northeast, and high fragmentation in the southwest and central regions. This pattern is in contrast to Ezhou’s economic development, which decreased progressively from east to north and south. Over the study period, village-level CLF in Ezhou evolved from being primarily moderately and relatively severely fragmented to predominantly severely and relatively severely fragmented, with an overall declining trend and more pronounced polarization. At the same time, the CLF within the village region demonstrated notable spatial clustering features, with a rapid increase observed between 2013 and 2022. It was also discovered that CLF is driven by various factors, with the main influences being the proportion of construction land, land use intensity, and population density. Cultivated land is the main source of both urban construction land (UCL) and rural construction land (RCL), with average contribution rates of 46.47% and 62.62%, respectively. This research offers empirical evidence for rapid urbanization and serves as a critical reference for rural revitalization and coordinated urban–rural development, with potential guidance for future policy formulation and implementation. Full article

The rapid pace of urbanisation has heightened the need for sustainable urban regeneration projects on a global scale. These projects primarily aim to address the increasing demand for buildings and to cultivate liveable urban environments. Over the years, a substantial amount of data has been collected and analysed as a result of various urban regeneration efforts. These data indicate that the success of urban transformation is influenced by a wide range of interconnected factors rather than the mere creation of new areas to meet demand. The primary objective of this study is to carry out a comprehensive and systematic literature review that assesses the effectiveness of sustainable urban regeneration (SUR) projects. This review examines a range of existing factors, including policies, management practices, and economic considerations, while also highlighting frequently overlooked elements such as climate change. Moreover, the study investigates how these factors influence the success of SUR initiatives and seeks to identify their overall impact on the effectiveness of such projects. Specifically, it explores the common challenges encountered, the criteria for performance evaluation, and the strategies that lead to successful SUR projects while emphasising their interconnections. An in-depth assessment of urban regeneration projects is provided, focusing on performance indicators across multiple dimensions: social, cultural, economic, environmental, and physical. A novel organisation involving all stakeholders and addressing climate change is also proposed to ensure the success of the SUR projects. Lastly, the findings highlight existing gaps in the current literature, offering valuable insights for future research and identifying potential directions for further exploration. Full article

This study investigates an intermodal routing problem for transporting wood from a storage yard of the timber harvest area to a timber mill, in which the transfer nodes in the intermodal transportation network have multiple service time windows. To improve the environmental sustainability of timber transportation, a carbon tax policy is employed in the routing to reduce the carbon emissions. Uncertain information on the capacities and carbon emission factors of the transportation activities in the intermodal transportation network is modeled using interval fuzzy numbers to enhance the feasibility of the routing optimization in the actual timber transportation. Based on the above consideration, an interval fuzzy nonlinear optimization model is established to handle the specific routing problem. Model defuzzification and linearization are then conducted to obtain an equivalent formulation that is crisp and linear to make the global optimum solution attainable. A numerical experiment is conducted to verify the feasibility of the proposed model, and it reveals the influence of the optimization level and service time windows on the routing optimization, and it confirms that intermodal transportation is suitable for timber transportation. This experiment also analyzes the feasibility of a carbon tax policy in reducing the carbon emissions of timber transportation, and it finds that the performance of this policy is determined by the optimization level given by the timber mill and is not always feasible in all cases. For the case where a carbon tax policy is infeasible, this study proposes a bi-objective optimization that can use Pareto solutions to balance the economic and environmental objectives as an alternative. The bi-objective optimization further shows the relationship between lowering the transportation costs, reducing the carbon emissions, and enhancing the reliability on capacity and budget by improving the optimization level. The conclusions provide managerial insights that can help the timber mill and intermodal transportation operator organize cost-efficient, low-carbon, and reliable intermodal transportation for timber distribution, and support sustainable forest logistics. Full article

With global environmental changes, lung cancer has become one of the most common types of cancer worldwide, posing a significant public health challenge. Jiangsu Province, located in the eastern part of China, is an economically and socially developed region. According to the latest cancer registration data in Jiangsu Province, lung cancer ranks first in both incidence and mortality of cancer in the province. Thus, studying the spatiotemporal distribution of lung cancer cases and analyzing the influence of various factors on this distribution are crucial for the effective prevention and control of the disease in Jiangsu Province. This study takes the statistical data of lung cancer patients in Jiangsu Province in 2020 as the research object, uses Geographic Information System (GIS) visualization and spatial analysis to study the spatial distribution characteristics of lung cancer patients in Jiangsu Province, and employs the geographical detector to numerically express the impact of various environmental factors on the distribution of lung cancer patients in Jiangsu Province. The results reveal a notable spatial clustering of lung cancer cases, with high-incidence areas concentrated in Suzhou, Nanjing, and Xuzhou cities. Among the seven environmental factors examined, PM_2.5, SO₂, and PM₁₀ concentration exert the most significant influence. This study employs multifactorial spatial analysis to elucidate the intricate relationships between people’s health and air quality, medical resource distribution, and lung cancer incidence in the process of pursuing sustainable development in cities and provides an important reference for the improvement in lung cancer prevention and control strategies. Full article

In recent years, mangrove restoration has gained significant attention due to its carbon storage capacity, role as a pollution sink, and ecological and economic benefits. Moreover, the United Nations Sustainable Development Goals’ strategies include mangrove restoration. This review investigates the status of mangrove restoration research and the influence of restoration on trace metal accumulation, speciation, and associated risks in mangrove sediments. Our analysis reveals that research on mangrove restoration is increasing globally, with a notable surge in publications after 2017. However, fewer than 25 articles published between 2007 and 2024 address trace metals in restored mangroves, indicating limited focus from researchers on this topic. Research shows that mangrove restoration can quickly alter sediment properties, such as texture, salinity, and pH. As a result, restored sediments tend to accumulate higher organic carbon content than barren areas. Most studies also suggest that trace metal accumulation is higher in restored sites than in non-restored areas. However, metal speciation varies considerably between sites due to local environmental factors. Furthermore, many studies suggest that restoration may increase the risks posed by trace metals to aquatic biota. The challenges of mangrove restoration research include short study timeframes, low success rates, poorly defined targets, small-scale efforts, conflicts with local communities over resources and benefits, insufficient government funding, and a lack of historical data on community health and pollution status. Full article

Cities are key areas for carbon control and reduction. The study of the decoupling between CO₂ emissions and gross domestic product (GDP) and the drivers of CO₂ emissions in cities facilitates the reduction of CO₂ emissions to safeguard the development of the economy. This paper first calculates the CO₂ emissions in Tianjin, China, from 2005 to 2022, then uses the Tapio decoupling index to quantify the decoupling status, and, finally, explores the energy-CO₂-emission drivers through the Logarithmic Mean Divisia Index (LMDI) model. The findings indicate that (1) the decrease in CO₂ emissions from industrial products and transport is the main reason for the decline. (2) During the period under investigation, the predominant condition observed was a state of weak decoupling. (3) Given the economic-output effect is the primary and substantial driver of energy CO₂ emissions, it is essential to harmonize the interplay between economic-development approach and CO₂ emissions to foster sustainable development in Tianjin. The industrial structure plays the most critical role in hindering the reduction of CO₂ emissions; therefore, optimizing industrial structure can help achieve carbon reduction and control targets. These findings enrich the study of CO₂ emission factors and can also interest urban policymakers. Full article

This study examines the determinants of the financial performance of the Portuguese hotel industry. Despite the economic relevance of the hotel industry and financial performance as an indicator of business survival, academic research on the factors that influence it in the context of this industry, particularly in Portugal, is not extensive. This study encompassed a sample of 738 hotel companies from 2016 to 2021, using data from the Orbis database. This research was based on the assumption that a company’s size, liquidity, the tangibility of its assets, and debt level influence financial performance in the hotel industry, as well as the assumption that gross domestic product and consumer sentiment also affect the business success of hotel companies. By applying a panel data methodology, the findings indicate that all variables showed significant influence on financial performance, except liquidity. The analysis also reveals that smaller companies were more negatively affected by the demand decline induced by the COVID-19 pandemic. To improve the financial performance of the Portuguese hotel industry, the findings suggest that policymakers must work towards ensuring diversified sources of financing for the hotel business, such as investment subsidies, so that companies can minimize debt, especially during periods of slow economic growth. Additionally, companies must promote management strategies that enhance self-financing. Both measures could help companies increase their size, taking advantage of good business opportunities to explore economies of scale. Full article

Our investigation, bolstered by the robust gravity trade model and panel data econometric technique, underscores the pivotal factors that influence trade interactions between Saudi Arabia and the BRICS nations—Brazil, Russia, India, China, and South Africa. The study, spanning from 1998 to 2023, delves into key economic metrics such as the gross domestic product, exchange rate fluctuations, inflationary trends, political conditions, and trade deals. We employ a range of econometric strategies, including pooled Ordinary Least Squares (OLS) and fixed effects models, to reveal that the GDP of BRICS states consistently and significantly impacts trade volumes. Specifically, a 1% increase in the GDP of partner countries correlates with a 0.37% rise in trade volume within the pooled OLS model. This effect amplifies to 1.43% when adjusting for temporal and country-specific factors in the fixed effects, underscoring the importance of accommodating unobserved heterogeneity, which refers to the unmeasured factors that can influence the relationship between GDP and trade volume. The political stability of BRICS nations mitigates transactional risks and promotes more stable trade relationships, thereby enhancing trade flows. Fluctuations in exchange rates exert positive and significant effects. This indicates that a more robust Saudi Riyal, an essential policy instrument, can enhance trade by increasing the competitiveness of Saudi exports. This study demonstrates that economic magnitude, political stability, and exchange rates affect Saudi Arabia’s trade with BRICS nations. These results bolster the Kingdom’s Vision 2030 objectives for economic diversification. This research advocates for stable political climates and strategic trade agreements to enhance trade relations. This study asserts that this approach will guarantee sustainable growth and diminish the Kingdom’s reliance on oil exports, instilling optimism in the Saudi economy. Full article

Urban growth is vast in the United Arab Emirates (UAE) due to economic development, and there is a need to consider liveability and sustainable ecosystems for future urban expansion. Promising strategies for sustainability focus on minimizing a building’s effects on the environment and improving residents’ quality of life, which is important in the desert and when confronting the issues of water and climate change. Sustainable practices that impact the livelihood of people in the UAE include factors such as walkable areas, open space, policing, healthcare, education, housing, and ensuring friendly transport that enhance the overall quality of life of residents in the region. Recognizing and appreciating the UAE’s cultural values is crucial when incorporating these aspects, allowing references to the nation’s character when creating communal areas. The primary research included quantitative surveys of three identified communities, composed of fifty participants each, where the findings indicate partial to full compliance, with 85.7% of the liveability indices being about public transport and green space. Through this analysis, liveability and sustainability principles need to be trialed and incorporated into future urban development to embrace the ecology as well as the inhabitants. To realize these targets, the proposed study adopted a four-part approach. Initially, an analysis of related studies concerning the UAE or the Gulf area was carried out to obtain important liveability and quality-of-life factors. A total of 6 dimensions and 51 indicators were extracted from the literature to inform the next stage. Subsequently, the authors identified and evaluated the design of three chosen communities in various cities in the UAE concerning liveability and sustainability indices. Consequently, a conceptual redesign of a typical community was made, illustrating the improved quality of life and sustainability. Lastly, a survey with respective facets from an urban planning architect and environmental scientist cum environmental economist was conducted to evaluate the practicality of the proposed design. This research gives a comprehensive picture of how liveability and sustainable ecosystem concepts need to be implemented in the UAE urban context and offers a direction to develop lively, context-specific, culturally attached, and sustainable urban environments for the present day and for the future. Full article

Global warming and climate change, primarily driven by human activities, with agriculture playing a significant role, have become central topics of scientific research. Livestock production, especially enteric fermentation, is a major source of greenhouse gas emissions, making it a focal point for both climate change adaptation and mitigation strategies. Both the European Union (EU) and Least Developed Countries (LDCs) are highly dependent on agriculture, particularly livestock, which plays a key role in their economic growth. In developing countries, livestock systems are evolving rapidly due to various factors, while in the EU, the livestock sector remains economically and socially significant, representing 36% of total agricultural activity. This study explores the environmental impact of enteric fermentation in livestock production, alongside the economic value it generates in both the EU and LDCs. The analysis utilizes a Bayesian Vector Autoregression (BVAR) methodology, which provides a more robust performance compared to traditional models like Vector Autoregression (VAR) and the Vector-error Correction Model (VECM). This research identifies significant relationships between the variables studied, with structural breaks quantified to reflect the impact of initiatives undertaken in both regions. Interestingly, the results challenge the environmental Kuznets curve, which hypothesizes an inverted U-shaped relationship between economic growth and environmental degradation, as proposed by Stern. This suggests that stronger economic incentives may be necessary to enhance policy effectiveness and promote eco-efficiency. The distinctive characteristics of livestock production in the EU and LDCs should be carefully considered when shaping agricultural policies, with a strong emphasis on farmer education as a critical factor for success. Additionally, corporate management practices must be tailored to address the unique needs, strengths, and challenges of livestock businesses in these two diverse regions. Full article

The spatial distribution and trend of carbon emissions in the Yellow River Basin—an important ecological barrier and economic belt in China—directly affect the stability of the ecosystem and the sustainable development of the regional economy. Based on the data for carbon emissions in China’s counties from 1997 to 2017, this paper utilizes standard deviation ellipses, Theil index nested decomposition, and geographic detector models to make a comprehensive description of the spatial and temporal distribution and dynamic evolution characteristics of carbon emissions in the Yellow River Basin. Factors influencing carbon emissions are also analyzed from multiple dimensions. According to the findings, (1) carbon emissions at the county level show a clear upward trend without reaching a peak, exhibiting a spatial distribution of higher emissions in the east and lower in the west and higher in the south and lower in the north, with the mid-lower reaches being the center. The junction of the Shandong, Shaanxi, and Gansu provinces further exhibits a significant expansion, forming two core areas of carbon emissions. (2) Carbon emissions at the county level in the Yellow River Basin are influenced by both economic and geographic factors, exhibiting a significant high carbon spillover effect and a low carbon lock-in effect. The gravity center of the distribution has shifted towards the mid-lower reaches, with the upper reaches displaying dispersion tendencies. (3) Intra-regional disparities are the main source of the overall spatial differences in carbon emissions, with the largest disparities being observed in the upper reaches, followed by the middle reaches, and the smallest disparities being observed in the lower reaches. Further analysis shows that the level of economic development is the primary factor influencing the spatial variation of carbon emissions, and the combined effects of population size and industrial agglomeration are the key drivers of the annual growth in carbon emissions. Full article

Sect. Tuberculata, as one of the endemic plant groups in China, belongs to the genus Camellia of the Theaceae family and possesses significant economic and ecological value. Nevertheless, the characteristics of habitat distribution and the major eco-environmental variables affecting its suitability are poorly understood. In this study, using 65 occurrence records, along with 60 environmental factors, historical, present and future suitable habitats were estimated using MaxEnt modeling, and the important environmental variables affecting the geographical distribution of sect. Tuberculata were analyzed. The results indicate that the size of the its potential habitat area in the current climate was 1.05 × 10⁵ km², and the highly suitable habitats were located in Guizhou, central-southern Sichuan, the Wuling Mountains in Chongqing, the Panjiang Basin, and southwestern Hunan. The highest probability of presence for it occurs at mean diurnal range (bio2) ≤ 7.83 °C, basic saturation (s_bs) ≤ 53.36%, temperature annual range (bio7) ≤ 27.49 °C, −7.75 °C < mean temperature of driest quarter (bio9) < 7.75 °C, annual UV-B seasonality (uvb2) ≤ 1.31 × 10⁵ W/m², and mean UV-B of highest month (uvb3) ≤ 5089.61 W/m². In particular, bio2 is its most important environmental factor. During the historical period, the potential habitat area for sect. Tuberculata was severely fragmented; in contrast, the current period has a more concentrated habitat area. In the three future periods, the potential habitat area will change by varying degrees, depending on the aggressiveness of emissions reductions, and the increase in the potential habitat area was the largest in the SSP2.6 (Low-concentration greenhouse gas emissions) scenario. Although the SSP8.5 (High-concentration greenhouse gas emissions) scenario indicated an expansion in its habitat in the short term, its growth and development would be adversely affected in the long term. In the centroid analysis, the centroid of its potential habitat will shift from lower to higher latitudes in the northwest direction. The findings of our study will aid efforts to uncover its originsand geographic differentiation, conservation of unique germplasms, and forestry development and utilization. Full article

The realization of ecological product value (EPV) is a crucial pathway for green economic development and the practical implementation of both the United Nations Sustainable Development Goals and China’s “Two Mountains Theory”, which emphasizes the need for harmony between ecological protection and economic growth. While China has initiated several pilot projects, there remains no consensus on the classification of ecological products or the measurement of EPV realization levels, largely due to limitations in the existing accounting systems, which fail to address EPV’s complexity. This study introduces a novel framework for measuring EPV realization, categorizing ecological products into pure public, quasi-public, and operational types. It demonstrates the economic value of ecological conservation, providing viable economic incentives for green development. This framework allows governments and businesses to see that protecting and sustainably utilizing natural resources can also yield economic benefits, thus offering a new feasible pathway for green development. Using Zhejiang Province as a case study, the authors present an improved coupling coordination model and a mechanical equilibrium model to assess EPV levels, emphasizing the importance of tailored regional strategies. Additionally, an obstacle degree model is employed to identify and analyze the factors limiting EPV realization. The results show that (1) different types of ecological products follow distinct value realization paths within the “economic–ecological–social” system; (2) EPV realization varies significantly across regions, with a trend of being lower in the southwest and higher in the northeast; (3) obstacles to value realization differ across subsystems, with particular attention needed to improve quasi-public ecological products in the ecological and social domains; (4) factors such as pesticide use and the number of tourist attractions affect EPV realization at the provincial and municipal levels, respectively. This study presents a new EPV measurement framework and highlights the spatial–temporal variability of EPV realization across regions. It provides valuable insights for developing countries and ecologically vulnerable areas seeking to optimize their EPV realization, supporting sustainable development and advancing “Two Mountains Theory” transformation. Full article