With the application of digital technology in the political sphere, the concept of digital governance has emerged as a novel approach to governing. This study focuses on digital governance in rural China and examines its impact on agricultural green total factor productivity (AGTFP) based on the provincial-level data from 2011 to 2022. To measure digital governance in rural China, we select four sub-indexes and employ the entropy weight method. Then, the Instrumental variable two-stage least squares (IV-2SLS) method is utilized to analyze the impact of rural digital governance on AGTFP, which is assessed using the directional distance function and global Malmquist-Luenberger (GML) index. The results show that digital governance in rural China has a positive effect on AGTFP. The increase in rural digital governance by 0.1 leads to a corresponding increase of 0.0045 in AGTFP. The mechanism analysis reveals that the farmland transfer rate and the soil erosion control areas positively mediate the relationship between rural digital governance and AGTFP. Our research findings enhance the overall comprehension of rural digital governance in China and its potential for generating positive outcomes.
This study constructs a comprehensive evaluation framework encompassing the ecological transformation of industrial structure, the degree of energy consumption structure optimization, and their respective evolutionary characteristics. Employing a vector autoregression (VAR) model, the paper systematically investigates the dynamic coupling relationship between industrial ecological evolution and energy structure optimization in the Beijing-Tianjin-Hebei (BTH) region. The findings indicate that the region has experienced a sustained improvement in the ecological orientation of its industrial structure, alongside a significant degree of spatial interdependence. In the long term, industrial ecologization exerts a notable positive influence on the optimization of the local energy consumption structure. In the short term, energy structure optimization in Beijing and Tianjin generates effective feedback that further facilitates their own industrial ecological upgrading. Distinct differences are observed across the three sub-regions in terms of evolutionary pathways and adjustment mechanisms, highlighting the critical role of regional functional positioning in shaping the coupled evolution of the industrial–energy system. The study not only enriches the empirical understanding of ecological economic interactions at the regional scale, but also offers theoretical guidance and policy insights for advancing low-carbon, green, and coordinated development across the BTH region.
Green growth practices in avocado farming involve balancing economic productivity, environmental sustainability, and social inclusiveness. These practices could boost resource efficiency, conserve biodiversity, and minimize environmental degradation. While global demand for avocados is increasing, there is little understanding of the factors influencing farmers’ willingness to adopt green growth practices and the factors affecting avocado yields amid market pressures as well as insufficient information and inadequate resources. Therefore, this study investigated the current practices used by farmers and the factors influencing the adoption of green growth practices and avocado yields in the Southern Agricultural Growth Corridor of Tanzania (SAGCOT) region, specifically in Rungwe District. A cross-sectional research design and multistage sampling helped select targeted avocado farmers, from whom data was collected via questionnaires and surveys. Results of descriptive statistics showed that 82% of the interviewed farmers were male and 67% of them had primary education. Farmers identified mulching and the use of organic fertilizer as primary green growth practices. Regression analysis performed by SPSS version 27 was the main analytical method. Binary logistic regression indicated that larger avocado farm size, access to information, and perception of larger avocado demand significantly influenced the adoption of green growth practices; meanwhile, gender showed a marginally significant effect. Multiple linear regression further revealed that tree age significantly impacted avocado yields whereas chemical fertilizer decreased yields. The findings emphasized the importance of targeted interventions to improve knowledge dissemination and training of sustainable agricultural practices to enhance productivity in avocado farming.
This study investigates the exponential growth of plastic waste, a critical global environmental concern exacerbated by rapid population expansion. It examines the packaging plastic value chain by focusing on associated environmental impacts, challenges, and opportunities for advancing a circular economy (CE). The objectives are to trace the evolution of the CE concept, identify key opportunities and implementation barriers, and devise strategies for enhancing its effectiveness. Through a systematic literature review and qualitative interviews, the research delineated the complexities in the lifecycle of post-consumer packaging plastics. The findings highlighted that CE efficacy was significantly influenced by interrelated factors, including product design, consumer behaviour, collection systems, sorting efficiency, and economic viability of mechanical and chemical recycling pathways. Although CE models are promising, this research indicated that the complete elimination of plastic waste remained an uncertain goal. The study, therefore, advocated a comprehensive transformation of the plastic value chain, necessitated by challenges such as heterogeneous waste streams, inconsistent quality of recycled output, and competing economic factors. It is concluded that strategic investments in research, recycling-friendly design, advanced recovery methods, and efficient sorting are essential for producing cost-effective and high-quality recycled products, thereby moving beyond incremental efforts toward a systemic solution.
The inadequate disclosure of environmental sustainability performance by polluting firms has led to significant information asymmetry between corporations and stakeholders, which in turn has contributed to investor apathy, diminished economic success, and increased community opposition. This study examines the effects of environmental sustainability performance disclosure on the profitability of firms, specifically focusing on the consumer goods manufacturing sector in Nigeria. The research is anchored in Stakeholder Theory and adopts a correlational research design. Data were obtained from the annual reports of thirteen listed consumer goods manufacturing companies over a period of thirteen years (2012-2024). Feasible Generalized Least Squares (FGLS) regression analysis was employed to test the hypotheses. The results indicate that the disclosure of greenhouse gas (GHG) emissions reduction is positively associated with profitability. Similarly, the disclosure of environmental waste management practices is significantly related to improved corporate profitability. However, the disclosure of water management practices revealed a significant negative relationship with profitability. The findings suggest that the disclosure of environmental sustainability practices, such as GHG emissions reduction, waste management, and water consumption reduction, plays a crucial role in enhancing both environmental sustainability and long-term financial performance. While GHG reduction was found to have a direct financial benefit, waste management strategies necessitate a shift from compliance-based approaches to innovation-driven practices. Water management, on the other hand, requires better alignment with industry-specific realities to effectively contribute to profitability and sustainable growth. These findings underscore the importance of transparent environmental performance disclosure as a driver of both ecological sustainability and financial success for firms operating in the consumer goods manufacturing sector.
A comprehensive life cycle assessment (LCA) has been conducted to evaluate the environmental impact of a public toilet facility situated in the Dongtou National Tourism Demonstration Zone, China. The study was carried out in accordance with the PAS 2080 standard for carbon management in infrastructure, with digital modelling implemented via Autodesk Revit and carbon accounting performed using OneClick LCA software. Additional calculations related to biogenic carbon sequestration were undertaken using Microsoft Excel, based on nationally and internationally recognized emission factors. The assessment revealed that the most significant contributors to the building’s Global Warming Potential (GWP) stemmed from two primary phases: the embodied carbon associated with construction materials and the operational energy use throughout the building's lifecycle. Particular emphasis has been placed on timber components, which demonstrated potential for short-term carbon storage, although this benefit was offset by emissions from material production and transportation. It was further observed that the building’s design, operational efficiency, and material selection substantially influenced overall environmental performance. Recommendations are provided regarding the adoption of low-carbon construction materials, the integration of renewable energy sources during the use phase, and the implementation of circular economy principles in waste management. The findings underscore the necessity of adopting an integrated LCA approach to enhance the environmental sustainability of small-scale public infrastructure in sensitive ecological zones. This study contributes to the growing body of evidence supporting carbon-conscious planning and decision-making in the development of public tourism facilities.
A comprehensive deterministic model has been developed to elucidate the interdependent dynamics of atmospheric carbon dioxide (CO$_2$) concentrations, human population growth, forest cover evolution, and tree plantation strategies. The model is structured to capture the nonlinear interactions between anthropogenic drivers and natural carbon sinks, offering a mechanistic understanding of how deforestation, afforestation, and demographic trends collectively shape long-term carbon trajectories. Emphasis has been placed on the incorporation of human population dynamics, land-use transformation, and carbon sequestration potential across managed and natural forest systems. Through analytical methods including stability and sensitivity analysis, critical emission thresholds and optimal conditions for carbon offsetting have been identified. Numerical simulations have been conducted to validate the model’s predictive capability and to explore scenarios under which afforestation and reforestation initiatives can meaningfully mitigate rising CO$_2$ levels. Results demonstrate that effective carbon sequestration is highly sensitive to the rate of population growth and the spatial extent and quality of forest interventions. Threshold values for net carbon neutrality have been established, providing quantifiable targets for forest management and climate policy design. The novelty of the approach lies in its integrated framework, which bridges socio-economic processes with ecological carbon fluxes—an area often overlooked in existing emission models. This integrated perspective enables the identification of leverage points for coordinated climate mitigation, combining demographic planning with nature-based solutions. Future refinement of the model is anticipated through the inclusion of spatially explicit climate variables, biodiversity feedbacks, and differentiated land-use regimes, aiming to enhance its predictive robustness and policy relevance. This framework is expected to contribute significantly to the formulation of holistic and adaptive strategies for climate change mitigation through synergistic management of human and ecological systems.
This study explores the application of Value Management (VM) and Value Engineering (VE) within Malta’s public service sector, focusing on environmental projects. Traditional cost-centric procurement approaches are proving insufficient in an era of heightened economic volatility, technological disruption, and increasing demands for public accountability. This research advocates for a structured, value-based decision-making framework that balances cost with quality, efficiency, and long-term sustainability considerations. A mixed-method, quasi-experimental design was employed, using Ambjent Malta as a case study. The methodology involved pre-intervention data collection, stakeholder information sessions, and post-intervention evaluation. Three environmental projects were analysed through stakeholder engagement workshops, incorporating VM tools such as function analysis and value criteria evaluation. The results demonstrate that VM can effectively address cost overruns, promote stakeholder collaboration, and improve project alignment with client and environmental objectives. Significant increases in stakeholder awareness and understanding of VM principles were observed, alongside a reported shift from cost minimisation to value optimisation in project planning. This research contributes to the limited knowledge of VM in the Maltese context. It underscores the potential of value-based methodologies to enhance public sector project outcomes and long-term efficiency.
The environmental performance and service quality of liquefied petroleum gas (LPG) vehicles were evaluated through a dual-phase analytical approach. In the first phase, exhaust emissions from LPG and petrol-powered vehicles were quantified using the CAPELEC 3010 gas analyzer, with concentrations of carbon monoxide (CO), carbon dioxide (CO$_2$), nitrogen oxides (NOx), and hydrocarbons being measured. The results demonstrated that LPG vehicles emitted significantly lower CO levels (0.09% on average) compared to petrol vehicles (0.18%), with corrected CO values also reduced (0.08% vs. 0.19%). These findings reinforce the environmental advantages of LPG as a cleaner fuel alternative. In the second phase, the SERVQUAL model was employed to assess user perceptions of service quality, focusing on five dimensions: reliability, responsiveness, assurance, empathy, and overall service quality. A negative overall SERVQUAL gap (-0.806) was identified, with the most pronounced discrepancies observed in reliability (-1.061) and responsiveness (-0.933), indicating unmet expectations in key service aspects. Despite these gaps, LPG vehicles were perceived as cost-effective and environmentally sustainable. The findings underscore the necessity for technical refinements in LPG vehicle systems and improvements in service infrastructure to enhance user satisfaction. The insights derived from this study offer valuable guidance for policymakers and industry stakeholders seeking to promote LPG as a viable component of sustainable transportation strategies.
The European Union has actively promoted the development of intermodal transport as a response to the ecological and safety challenges posed by global transportation flows. Through projects such as Customer-driven Rail-freight services on a European mega-corridor based on Advanced business and operating Models (CREAM) and Reorganization of Transport Networks through Advanced Rail Freight Concepts (RETRAC), substantial improvements in rail freight transport on European mega-corridors have been achieved. These initiatives aim to enhance transportation efficiency, reduce environmental impacts, and improve safety. The proximity of Serbia to these key corridors, coupled with its involvement in these projects, presents an opportunity for the country to enhance its infrastructure, expand its business prospects, and increase its global market competitiveness. Furthermore, such developments will contribute significantly to Serbia’s economic growth and its integration into European transportation networks. This study evaluates the CREAM and RETRAC corridors by examining their effects on environmental sustainability, transportation safety, and economic development. The paper also assesses their overall efficiency and sustainability, providing valuable insights for strategic decision-making. Given the complex nature of intermodal freight corridors, the evaluation process incorporates Multi-criteria decision making (MCDM) techniques, considering a variety of performance indicators. Specifically, the hybrid model combining the Fuzzy Aggregated Distance-Based Measurement (FADAM) method and the Fuzzy Best-Worst Method (FBWM) is applied to offer a comprehensive analysis. This approach allows for the systematic assessment of the two corridors, supporting the development of strategies aimed at optimizing their performance and sustainability.