Search Results (218)

Greenhouse gas emissions from heavy-duty vehicles (HDVs) must be drastically reduced. Battery electric trucks (BETs) are the main option for low-carbon road freight transport, but they require recharging infrastructure. However, a thorough cost analysis of public charging is lacking, especially for the Megawatt Charging System (MCS). This study estimates the infrastructure-related levelised cost of megawatt charging for battery electric trucks in Europe based on simulated truck operations and techno-economic modelling. The analysis combines empirical driving data with cost assumptions for MCS infrastructure. The reported values are infrastructure-only costs and include annualised capital expenditure, installation costs, grid connection costs and operating expenditure. They exclude electricity prices, taxes, levies, land costs and operator margins. Low- and high-cost scenarios differ in assumed charger hardware and installation costs, while grid connection costs and utilisation assumptions are held constant across scenarios. The results show that utilisation is the key driver of cost reductions over time. The infrastructure-related levelised cost of MCS declines to 0.03–0.07 EUR/kWh by 2050 under the analysed cost assumptions. The total annual infrastructure costs for Europe are estimated at 6.6–10.8 billion EUR, or 2.9–4.7 EUR cents/km. The results support policy decisions on infrastructure deployment and highlight the importance of coordinated rollout and demand growth. Full article

To address the multi-objective conflicts among cost, time, and carbon emissions in Guangxi cross-border container multimodal transport—under the influence of factors such as tariffs, fluctuating customs clearance efficiency, and carbon emission policies—this paper develops a multi-objective optimization model that integrates mixed time windows and scenario analysis. The model incorporates multiple elements, including transportation cost, transshipment cost, tariff cost, time value of cargo, carbon tax cost, in-transit and customs clearance time, and transshipment-related carbon emissions, making it more aligned with real-world cross-border operational scenarios. To effectively solve this complex model, an improved NSGA-II algorithm (I-NSGA2) is designed, which introduces an adaptive crossover and mutation operator along with an elite retention strategy to enhance convergence speed and solution diversity, while embedding a scenario parameter response mechanism to accommodate dynamic fluctuations in key parameters. Subsequently, an evaluation framework is constructed using the entropy weight–TOPSIS method to select recommended routes with favorable cost–time–carbon trade-offs from the Pareto frontier. A case study based on the Nanning–Kuala Lumpur route is conducted for validation. Experimental results demonstrate that the I-NSGA2 algorithm significantly outperforms MOPSO, MOEAD, and the standard NSGA-II in terms of IGD and HV metrics; time-sensitive cargo tends to favor rail-dominated routes, while low-cost cargo prefers combined road–water–rail routes. This study effectively addresses the route selection problem for Guangxi cross-border container multimodal transport under varying key parameters, and also provides a research foundation for optimizing cross-border multimodal transport route selection in other regions. Full article

The transport sector contributes significantly to greenhouse gases and airborne pollutants. This study focuses on the co-benefits related to decreases in air pollutants and CO₂ emissions under various mitigation scenarios. The associated mitigations in PM_2.5 concentrations are predicted by establishing a random forest (RF) model and the health benefits are evaluated with the global exposure mortality model (GEMM). Environmental tax values and carbon trading prices are integrated alongside traditional elasticity coefficients and coordinate-based approaches to transform reductions into economic advantages. The results indicate that in the most favorable scenario (ELC), CO₂ emissions are expected to peak in 2032 with a reduction of 51.71%; this is supported by the marginal CO₂ emission curve, which intersects the zero axis around that same year, while the air pollution equivalents (APeq) are projected to decline by 25.65% in 2050. The efficiency of synergistic reductions between air pollutants and CO₂ ranks as SO₂ > NO_X > CO > HC > PM_2.5 > PM₁₀, and the elasticity coefficients for all pollutants are gradually aligning toward 1, suggesting that stricter mitigation efforts will enhance co-benefits. Furthermore, the economic benefits attributable to CO₂ reduction are anticipated to be 10.81 billion CNY by 2050, and 17,297 premature deaths associated with PM_2.5 exposure could be prevented. The findings in this study could provide essential insights for the co-management of CO₂ and air pollutants from road mobile sources. Full article

Policy interventions are widely used to promote regional development and reshape economic structure, yet their broader transport, spatial, and environmental impacts have received limited attention. This study develops an integrated urban computable general equilibrium (CGE) model that combines CGE theory with a computable urban economics (CUE) framework, overcoming the limitations of conventional CGE models in representing intra-urban transportation dynamics and capturing spatial heterogeneity within urban areas. By incorporating transport sectors and endogenous transport mode substitution, the model captures the interaction between industrial activities and transport systems, enabling a more comprehensive assessment of the economic, equity, and transport-related environmental impacts induced by policy interventions. A case study of the Kofu metropolitan area in Japan shows that transport improvement policy generates broad welfare gains and industrial expansion but may induce modal shifts that reinforce road dependence and increase environmental burdens. In contrast, tax reduction and subsidy policies also stimulate significant industrial growth while reducing aggregate transport demand through spatial concentration and industrial structural adjustment, but tend to exacerbate interregional inequality. The findings highlight trade-offs among efficiency, equity, and environmental sustainability, while demonstrating the analytical value of incorporating a CUE framework and transport–industry interaction mechanisms into a CGE model for policy-relevant evaluation. Full article

Small rural businesses face significant challenges due to geographical constraints, transportation costs, small market size, and low population density. On top of that, the energy crisis that arose after the start of the 2022 Russia–Ukraine war and the sanctions imposed by the EU and the US have created a stifling energy environment. The latter has exposed the businesses to the risk of energy poverty. The current study examines energy poverty within three business sectors that are prominent in the Greek countryside. These are entities firstly involved in the processing, manufacturing, and standardization of agricultural products; secondly, involved in the trade of agricultural products; and lastly, certain businesses operating in the tourist area. More specifically, this research examines the energy needs and energy obligations of these businesses as well as the energy efficiency of their facilities by simultaneously exploring the impact of European and national energy policies on addressing energy poverty in rural micro-businesses. To detect the opinions, experiences, perceptions, estimations, and expectations of entrepreneurs who maintain these businesses in rural areas, a qualitative approach was adopted utilizing personal in-depth interviews. Overall, fifteen micro-entrepreneurs were interviewed. Findings revealed that energy costs for rural businesses are becoming a major issue for their survival. Moreover, they have a substantial effect on their operational costs, exceeding other expenses and leading to an increase in energy poverty. These findings have also been confirmed by statistical data. Energy costs for small businesses range from 15% to 35% depending on the business, and during peak periods or crises, they exceed 40%. In addition, fees and taxes account for over 40% of electricity bills. Full article

This study investigates how the hydrogen supply chain should be designed under alternative carbon tax scenarios to decarbonize heavy-duty freight transportation. A bi-objective, multi-period optimization model is developed to minimize the total daily system cost while constraining CO₂ emissions using the Augmented ε-constraint approach, thereby revealing the trade-off between economic and environmental objectives. The model was applied to Türkiye’s heavy-duty transportation sector and solved under zero, moderate, and aggressive carbon tax scenarios. The results show that the levelized cost of hydrogen (LCOH) ranges from 2.06 to 14.06 $/kg H₂. High carbon pricing increases the LCOH by 29.06% in hybrid designs, while raising the renewable energy share from 2.04% to 46.97% in centralized supply chains. Sensitivity analysis reveals that a ±20% variation in electrolyzer-based production costs does not alter the network topology but shifts the LCOH between 13.10 and 15.02 $/kg H₂ in emission-focused solutions. The findings indicate that in renewable-energy-based decentralized structures, higher carbon tax policies primarily increase the LCOH. Still, the overall technology mix and network topology remain largely unchanged compared to the no-tax case. However, in centralized supply chains, carbon pricing affects both the energy sources and selected technologies. By integrating Türkiye’s 2030–2053 policy milestones into a multi-period framework, this study distinguishes itself by providing a comprehensive, multi-period planning framework tailored to the economic and logistical realities of developing countries. Unlike existing models, our approach quantifies how evolving carbon tax trajectories decisively drive infrastructure investment by analyzing the direct impact of different tax levels on the operational and strategic decisions of heavy-duty transport. This research represents the first joint assessment of carbon tax policy instruments and the evolution of long-term hydrogen supply chains, offering a decision-making framework for policy-driven energy transitions in similar emerging economies. Full article

Introduction: Disability in South Africa remains a key driver of socioeconomic inequality, affecting labour market participation, income security, and access to social protection. Conventional fiscal instruments, including medical tax credits and deductions, favour formally employed, higher-income taxpayers, leaving many persons with disabilities fiscally excluded. This study used a mixed-methods secondary analysis of peer-reviewed literature, policy documents, labour force data, disability grant records, and household cost estimates to develop a conceptual framework for disability-responsive fiscal inclusion. Results: Labour force data indicate that 10.2% of individuals outside the labour force are due to illness or disability, while discouraged jobseekers rose from 15.2% (2016) to 20.6% (2025). Households with severe disabilities face opportunity costs estimated at R2441 per month from lost earnings, caregiving, transport, and medical expenses. Disability grant patterns show male dominance in permanent disability grants for ages 18–45, with females surpassing males at 50–60. Temporary disability grants follow similar trends, with male predominance in the 18–35 age range and female predominance in the 40–60 age range. These findings reveal systematic gender- and age-related inequities in access to fiscal relief. Conclusions: Existing tax measures insufficiently address the financial burden of disability, disproportionately favouring urban, formally employed households. Implementing refundable tax credits, simplifying administrative processes, and adopting gender- and age-sensitive policies can enhance fiscal inclusion, reduce inequities, and strengthen economic participation for persons with disabilities in South Africa. This study proposes a framework to guide policymakers in implementing refundable disability tax credits, simplifying administrative processes, and targeting vulnerable groups, including older women, rural households, and low-income earners, to enhance fiscal inclusion, equity, and access to essential services. Full article

This study examines whether the relationship between provincial fiscal revenue and expenditure measures and grain production in China is nonlinear. Using a balanced panel of 31 provinces from 2007 to 2021, we analyze major revenue-side and expenditure-side fiscal instruments, including the cultivated land occupation tax, value-added tax, agricultural insurance subsidies, agricultural loan interest subsidies, rural minimum living security subsidies, education expenditure, and transportation infrastructure expenditure. To identify regime-dependent changes in estimated associations, we employ panel kink and double-kink regression models with endogenously estimated kink points. The results suggest that the estimated relationships are intensity-dependent rather than constant. The cultivated land occupation tax exhibits a kinked relationship with grain production, with a more positive association beyond a certain level. Agricultural insurance subsidies display a double-kink pattern, with the strongest positive estimated association concentrated in an intermediate range of the subsidy measure. Rural minimum living security subsidies are positively associated with grain production at lower levels, but this association weakens and may become negative after the estimated kink point. Overall, the findings suggest that the relationship between fiscal variables and grain production depends not only on policy direction but also on the levels of the fiscal measures. Full article

Carbon capture and storage (CCS) is widely regarded as a viable pathway for reducing greenhouse gas emissions; however, large-scale deployment remains constrained by project economics and policy uncertainty. This study presents a life cycle costing assessment of a proposed CCS retrofit at the Hunter Unit 3 coal-fired power plant in Emery County, Utah, encompassing carbon capture, transport, and subsurface storage. Results indicate that the project appears economically favorable under the assumptions of this screening-level analysis and under current policy conditions, with an estimated break-even time of approximately five years. The analysis identifies a large upfront capital investment exceeding $600,000,000, offset by planned revenue from federal tax credits totaling several billion dollars over the project lifetime. Sensitivity analyses show that project economics are dominated by capture costs and annual mass of CO₂ sequestration rates, while storage and transport costs play secondary roles. A synthetic policy-perturbation analysis of the $85/ton tax credit further demonstrates that policy volatility materially increases uncertainty in investment returns. These results highlight both the economic potential of CCS retrofits at existing power plants and the critical role of stable long-term policy in enabling investment. Full article

The transition from diesel to electric trucks faces a critical adoption gap despite technological maturity and favorable economics. This study identifies multi-dimensional planning complexity, spanning technical, economic, operational, and organizational dimensions, as a primary barrier that existing decision support tools fail to address. Through systematic literature review and analysis of Danish transport sector data, we develop the AI-Readiness Framework for Fleet Electrification (ARFFE), a modular decision support system adapted to different organizational readiness levels. Our secondary data analysis illustrates that two frequently overlooked factors, the CO₂-differentiated road tax savings of 430,000–465,000 DKK over five years and charging strategy decisions creating cost differences of 930,000 DKK, have greater economic impact than traditionally emphasized factors. The framework comprises five progressive modules mapped across four readiness stages and four planning dimensions, creating an integrated decision support system for evaluating an estimated 50,000+ scenarios. This research contributes theoretically by proposing AI as a “mediating technology” in socio-technical transitions and practically by providing an actionable framework illustrated through Danish transport sector analysis. Full article

This article integrates sustainability principles into a three-echelon supply chain for deteriorating items with imperfect quality, consisting of a single vendor, a third-party logistics enterprise (3PL), and a single buyer, with a focus on balancing economic efficiency with environmental responsibility. The vendor is assumed to operate an imperfect production system, resulting in products of imperfect quality. The 3PL undertakes all transportation activities, while the buyer conducts a quality inspection process to detect defective items, which is subject to Type-I and Type-II errors. Aside from that, the inventory model also assesses carbon emissions arising from various operational activities including energy usage during production, warehousing, and disposal processes, and fuel consumption in transportation, for which the above members of the supply chain are accountable. Afterward, carbon management policies such as a carbon tax and carbon cap-and-trade are considered to regulate total supply chain emissions. The objective is to minimize the joint expected total cost by simultaneously optimizing shipment frequencies and the replenishment cycle for the buyer within carbon emission constraints. An iterative solution procedure is developed to address the problem. A numerical example and sensitivity analysis are provided to demonstrate the model’s applicability and to explore the influence of critical parameters. Finally, the study presents managerial insights, along with conclusions and recommendations for future research directions. Full article

This study analyzes the factors associated with vehicle technology classification in Ecuador, using fuel category (electric, hybrid, and internal combustion) as the dependent variable under an Explainable Artificial Intelligence (XAI) approach. Following the CRISP-DM methodology, we compared the performance of XGBoost and LightGBM algorithms using a dataset of 482,754 administrative records from the Internal Revenue Service (SRI). Both models achieved outstanding predictive performance with a Macro F1-score of 0.987, demonstrating robustness despite the severe class imbalance (electric vehicles represent only 1.3% of the total). The integration of SHAP (SHapley Additive exPlanations) values identified tax appraisal and engine displacement as the most influential features in the model predictions in the adoption of electric vehicles. In contrast, territorial factors exert a more significant influence on the acquisition of hybrid vehicles. Finally, the findings demonstrate that boosting models, combined with XAI techniques, provide transparent analytical tools that can support evidence-based transport decarbonization strategies in emerging economies. Full article

Air pollution has become a pressing global challenge that threatens ecological security, public health, and sustainable socioeconomic development, prompting extensive academic and policy attention on air pollution control and environmental governance. To systematically clarify the knowledge structure, evolutionary trends, and interdisciplinary characteristics of this field, this study employs bibliometric methods combined with CiteSpace, VOSviewer, and Tableau tools for in-depth analysis of the global literature published in the last 25 years. Key dimensions including keyword clustering, co-occurrence networks, national cooperation patterns, journal co-citation relationships, and policy evaluation methodology evolution are explored. The results reveal that research output in this field has maintained sustained rapid growth, with distinct interdisciplinary integration across environmental science, economics, energy engineering, and public health. Notably, the evolutionary path of research themes presents a clear transformation: shifting from early emphasis on “emission standards” and “end-of-pipe treatment” to market-oriented policy instruments such as “carbon tax” and “carbon emission trading”, and further expanding toward systematic solutions including “green finance” and “collaborative environmental governance”. In terms of policy evaluation methodologies, there is a developmental trend from single-indicator monitoring to integrated assessment frameworks combining quasi-experimental approaches (e.g., difference-in-differences, regression discontinuity design) and multi-model coupling. Furthermore, national collaboration analysis identifies China as a core hub in the global research network, while European and American countries maintain advantages in research impact. While this observation is based on absolute metrics, a data normalization approach (e.g., by population) reveals more distinct relative differences and a complementary global dynamic: China’s scale-driven output aligns with large-scale, engineering-intensive governance challenges, whereas the markedly higher per capita research impact of Western nations reflects a deeper focus on policy innovation and systemic mechanisms. Burst term detection highlights emerging frontiers such as the “Porter hypothesis”, reflecting growing focus on the synergistic relationship between environmental regulation, green innovation, and economic development. This study also identifies critical research gaps, including insufficient attention on cross-regional pollution transport policy coordination and emergency policy evaluation under extreme weather conditions. The findings provide a comprehensive academic map of global air pollution control and environmental governance research, offering valuable insights for optimizing environmental policy design, promoting interdisciplinary collaboration, and guiding future research directions in this field. Full article

Who benefits from government fiscal policies? Providing an answer to this question is a crucial element in maintaining the sustainability of government policies. In this paper we extend traditional tax incidence studies to benefit incidence studies, focusing especially on the incidence of government-provided public goods in the form of urban transportation infrastructure spending. We develop a new approach to benefit incidence studies—a “time-savings approach”—that allows us both to measure individual access to government infrastructure programs and to estimate the time savings to individual households from these infrastructure programs. We then apply this time-savings approach in two detailed applications, using micro-level and geo-spatial data from Indonesia and Mozambique. We find that the time-savings approach has the potential to provide estimates at the household level of the monetary value of government urban infrastructure improvements via the value of reduced travel time, illustrating the power of this approach in allocating and valuing the benefits of public goods like transportation infrastructure spending for individual households. Fully realizing the potential of the time-savings approach requires access to data with accurate time and distance variables at the household level. Full article

Daqu is the core saccharifying and fermenting starter for strong-flavor Baijiu, and its quality is strongly shaped by the workshop microenvironment. Here, mature Daqu from a newly built workshop and a long-established workshop within the same distillery were compared under identical raw materials and process conditions. Physicochemical properties, volatile flavor compounds (HS-SPME-GC–MS), bacterial and fungal communities (16S/ITS sequencing), and Tax4Fun-predicted functions were jointly analyzed. The quality indicators of the Daqu in the new workshop are qualified, but the acidity (and moisture) is higher, and the fermentation, saccharification and liquefaction abilities are lower. The Daqu in the old workshop is rich in esters, the aroma is more mature, and the total ester content is about twice that of the new workshop. Both Daqu types shared similar core taxa, but the new workshop was dominated by a simpler Weissella–Thermomyces consortium, while the old workshop was enriched in Bacillus, lactic acid bacteria, Rhizomucor, Saccharomycopsis, and Wickerhamomyces. Correlation and network analyses linked these old-workshop core genera to key ethyl esters, higher alcohols and pyrazines, and Tax4Fun indicated a stronger bias toward amino acid/carbohydrate metabolism and membrane transport in the old workshop. These results show that workshop age reshapes Daqu quality by co-modulating physicochemical traits, microbial consortia and functional potential, and suggest microbial and functional targets for accelerating the “maturation” of new workshops. Full article