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The traditional continuous, quantitative spraying technology ignores the severity of pests, diseases and grasses, spatial distribution and other differences, resulting in low effective utilization of pesticides, environmental pollution and other problems. Variable-rate spray technology has become an important development direction in the field of precision agriculture by dynamically sensing crop canopy morphology, pest and disease distribution, and environmental parameters, adjusting the application amount in real time, and significantly improving pesticide utilization. In this study, we systematically review the core progress of variable-rate spray technology; focus on the technical system of information detection, spray volume model, and control system; analyze the current bottlenecks; and propose an optimization path to adapt to the complex agricultural conditions. At the level of information perception, LiDAR, machine vision, and multi-source sensor fusion technology constitute the main perception architecture, and infrared and ultrasonic sensors assist target recognition in complex scenes. In the construction of the spray volume model, models based on canopy volume, leaf area density, etc., are used to realize dynamic application decision by fusing equipment operating parameters, pest and disease levels, meteorological conditions, and so on. The control system takes the solenoid valve + PID control as the core program, and improves the response speed through PWM regulation and closed-loop feedback. The current technical bottlenecks are mainly concentrated in the sensor dynamic detection accuracy, model environmental adaptability, and the reliability of the execution parts. In the future, it is necessary to further promote anti-jamming multi-source heterogeneous sensor data fusion, multi-factor adaptive spray model development, lightweight edge computing deployment, and solenoid valve structural parameter optimization and other technical research, with a view to promoting the application of variable-rate spray technology to the field on a large scale and providing a theoretical reference and technological support for the green transformation of agriculture. Full article

Productivity has long been the fundamental driver of human social progress and national prosperity. Against the backdrop of technological advancement and social development, New Quality Productive Forces (NQPFs) have emerged as a new form of productivity, serving as a key focus for corporate transformation and upgrading as well as sustainable national development. Based on the panel data of 28,107 listed companies in China from 2011 to 2022, this study employs a three-way fixed-effects model to investigate the impact of green finance (GF) on corporate NQPFs. The main findings are as follows: First, GF exhibits a significant positive correlation with the enhancement of corporate NQPFs. Second, financing constraints and corporate social responsibility strengthen the empowering effect of GF on corporate NQPFs, while environmental law enforcement weakens this effect, reflecting a “synergistic dilemma” between government intervention and market mechanisms in promoting corporate NQPFs. Third, the effect of GF on corporate NQPFs shows significant heterogeneity depending on environmental and social risks, the nature of property rights, public attention, and firm size. These findings provide important insights for optimizing green finance policies and enhancing corporate productivity. Full article

In a significant transition from classical theories of efficient markets and perfectly rational investors, the recent literature has increasingly acknowledged the importance of the human element and external market conditions in decision-making. However, the application of adaptive market frameworks in the property sector remains underexplored. This gap is particularly pronounced in the commercial property market, where structural inefficiencies, such as information asymmetry and illiquidity, amplify decision-making complexity. Given that investor rationality tends to diminish as uncertainty and complexity increase, this study explored how private commercial property investors adapt their strategies amid heightened uncertainty. The perspectives of seven experienced property experts were thematically analysed to highlight recurring patterns, which were then integrated into a conceptual mind map. The findings reveal that while economic fundamentals are the constant drivers of capital allocation decisions, investors process these signals through the lens of adaptive behaviour based on intuition, experience, risk perceptions, and herding. This relationship becomes more pronounced under conditions of heightened uncertainty, where investors seek to supplement available information with sentiment due to weaker signals and declining confidence in fundamentals. Sustainable investing and technology integration also emerged as core considerations, but interest among private investors is subdued due to ambiguous value propositions regarding the long-term economic benefits of a green premium. These findings offer practical insights into how external market conditions influence property investment decisions and provide a platform for operational models of investment decision-making that integrate adaptive behaviour. Full article

In Northeast Brazil, climatic factors and technology synergistically enhance melon productivity and fruit quality. However, the region requires further research on the efficient use of water resources, particularly in determining the crop coefficient (Kc), which comprises the evaporation coefficient (Ke) and the transpiration coefficient (Kcb). Air temperature affects crop growth and development, altering the spectral response and the Kcb. However, the direct influence of air temperature on Kcb and spectral response remains underemphasized. This study employed unmanned aerial vehicle (UAV) with RGB and Red-Green-NIR sensors imagery to extract biophysical parameters for improved water management in melon cultivation in semiarid northern Bahia. Field experiments were conducted during two distinct periods: warm (October–December 2019) and cool (June–August 2020). The ‘Gladial’ and ‘Cantaloupe’ cultivars exhibited higher Kcb values during the warm season (2.753–3.450 and 3.087–3.856, respectively) and lower during the cool season (0.815–0.993 and 1.118–1.317). NDVI-based estimates of Kcb showed strong correlations with field data (r > 0.80), confirming its predictive potential. The results demonstrate that UAV-derived NDVI enables reliable estimation of melon Kcb across seasons, supporting its application for evapotranspiration modeling and precision irrigation in the Brazilian semiarid context. Full article

As China advances its green transition, digital finance broadens firms’ access to external financing; however, whether improved access enhances financial allocation efficiency or drives green technology innovation remains unclear. This study addresses this through a dual-layer framework examining financing mechanisms and governance conditions. Using panel data from 2165 Chinese A-share firms (2011–2022) with two-way fixed-effects models, the analysis yields three key findings: First, digital finance significantly enhances green technology innovation. Second, financial mismatch partially mediates this relationship. Third, governance moderates these effects. Equity incentives exhibit threshold effects, where positive impacts emerge only above certain levels. Cash incentives, however, vary by period: they are positive in 2011–2018 and negative in 2019–2022. These results underscore that financial reform must accompany governance improvements, especially equity incentives. The Chinese experience also provides insights for emerging economies navigating digital finance expansion and green transition. Full article

Chitin, one of the most abundant natural polysaccharides, has gained increasing attention for its structural diversity and potential in biomedicine, agriculture, food packaging, and advanced materials. Conventional chitin production from crustacean shell waste faces limitations, including seasonal availability, allergenic protein contamination, heavy metal residues, and environmentally harmful demineralization processes. Chitin from fungi and microalgae provides a sustainable and chemically versatile alternative. Fungal chitin, generally present in the α-polymorph, is embedded in a chitin–glucan–protein matrix that ensures high crystallinity, mechanical stability, and compatibility for biomedical applications. Microalgal β-chitin, particularly from diatoms, is secreted as high-aspect-ratio microrods and nanofibrils with parallel chain packing, providing enhanced reactivity and structural integrity that are highly attractive for functional materials. Recent progress in green extraction technologies, including enzymatic treatments, ionic liquids, and deep eutectic solvents, enables the recovery of chitin with reduced environmental burden while preserving its native morphology. By integrating sustainable sources with environmentally friendly processing methods, fungal and microalgal chitin offer unique structural polymorphs and tunable properties, positioning them as a promising alternative to crustacean-derived chitin. Full article

Ozonation is an emergent green technology that modifies the chemical composition and bioactivity of natural oils, creating new opportunities for functional and biomedical use. In this study, the chemical changes and in vitro activities of lettuce (Lactuca sativa) oil before and after ozonation were evaluated. Gas chromatography–mass spectrometry (GC–MS) revealed an increase in both the number and diversity of constituents in ozonated oil, with (Z)-13-docosenamide and trans-13-octadecenoic acid as predominant components. Fourier-transform infrared (FTIR) spectra showed overall similarity between native and ozonated oils, but with three additional characteristic bands in the ozonated sample. Bioassays demonstrated that ozonation enhanced anti-Helicobacter pylori activity (inhibition zone 21.3 ± 0.3 mm), supported bactericidal effects, and improved antibiofilm and antihemolytic properties. The antioxidant capacity of ozonated oil was modestly increased (IC₅₀ = 3.95 ± 0.4 µg/mL), while butyrylcholinesterase inhibition was more markedly enhanced (IC₅₀ = 2.58 ± 0.6 µg/mL), compared to that of the non-ozonated oil (IC₅₀ = 6.14 ± 0.3 µg/mL and IC₅₀ = 4.38 ± 0.4 µg/mL, respectively). Molecular docking suggested strong interactions of major ozonation-derived compounds with human BuChE and H. pylori urease, providing mechanistic support for the observed activities. Overall, these results indicate that ozonation modestly but consistently enhances the biological potential of lettuce oil through compositional shifts, highlighting its promise for development as a safe functional food ingredient with possible biomedical applications. Full article

Pipelines are critical infrastructure for energy transportation, but long-term service under complex loading can cause local buckling failures. This study investigates the wrinkle behavior of API-X80 pipelines under combined internal pressure and bending using finite element analysis. The results show that increasing internal pressure significantly improves structural stability and delays wrinkle formation by suppressing cross-sectional ovalization. Wrinkle growth and protrusion height were quantified under various geometric and load conditions. Furthermore, a convex B-type sleeve repair method was modeled and optimized using response surface methodology and genetic algorithms. The optimized sleeve design effectively mitigates stress concentration around the defect area. This work provides a theoretical foundation for understanding wrinkle mechanisms and enhancing pipeline integrity under complex loads. Full article

The conversion of ecological product value is vital for reconciling economic growth with environmental sustainability. As a financial innovation that combines digital technology with inclusive finance, digital finance has emerged as a key driver of this process. Drawing on Chinese provincial panel data from 2011 to 2020, this study shows that digital finance significantly enhances the conversion efficiency of ecological product value (CEEPV), and the results remain robust after addressing endogeneity and sensitivity concerns. The analysis reveals that the depth of use and the level of digitalization of digital finance strongly promote CEEPV, while coverage breadth has no significant effect. Mechanism tests indicate that digital finance improves CEEPV mainly through alleviating rural financing constraints, fostering entrepreneurship, encouraging green innovation, enhancing agricultural social services, and supporting rural e-commerce. In addition, traditional finance and financial regulation complement digital finance in strengthening CEEPV. Heterogeneity analysis further shows that the positive effect of digital finance is concentrated in provinces with higher levels of marketization and urbanization. Overall, the findings underscore the importance of accelerating digital finance development and implementing region-specific policies to maximize its potential in advancing ecological product value realization. Full article

Against the backdrop of global agricultural transformation, rural China faces the critical challenge of reconciling economic development with environmental conservation and social well-being. This study, grounded in the rural revitalization strategy, investigates the internal mechanisms, level measurement, and sustainable development paths of rural industrial integration based on the “Triple Integration of Production, Livelihood and Ecology” (PLE) philosophy. Firstly, we discussed the suitability and the mechanisms of this philosophy on China’s rural industrial integration. Secondly, based on a textual corpus extracted from academic journals and policy documents, we employed an LDA topic model to cluster the themes and construct an evaluation indicator system comprising 29 indicators. Then, utilizing data from the China Statistical Yearbook and the China Rural Statistical Yearbook (2013–2022), we measured the level of China’s rural industrial integration using the entropy method. The composite integration index displays a continuous upward trend over 2013–2022, accelerating markedly after the 2015 stimulus policy, yet a temporary erosion of “production–livelihood–ecology” synergy occurred in 2020 owing to an exogenous shock. Lastly, combining the system dynamics model, we simulated over the period 2023–2030 the three sustainable development scenarios: green ecological development priority, livelihood standard development priority and production level development priority. Research has shown that (1) the “Triple Synergy of Production, Livelihood and Ecology” philosophy and China’s rural industrial integration are endogenously unified, and they form a two-way mutual mechanism with the common goal of sustainable development. (2) China’s rural industrial integration under this philosophy is characterized by production-dominated development and driven mainly by processing innovation and service investment, but can be constrained by ecological fragility and external shocks. (3) System dynamics simulations reveal that the production-development priority scenario (Scenario 3) is the most effective pathway, suggesting that the production system is a vital engine driving the sustainable development of China’s rural industrial integration, with digitalization and technological innovation significantly improving integration efficiency. In the future, efforts should focus on transitioning towards a people-centered model by restructuring cooperative equity for farmer ownership, building community-based digital commons to bridge capability gaps, and creating market mechanisms to monetize and reward conservation practices. Full article

Food industry generates substantial waste, raising economic and environmental concerns. Green Chemistry (GC) highlights the extraction of nutritional and bioactive compounds as a key strategy for waste valorization, driving interest in sustainable methods to recover valuable compounds efficiently. This review evaluates the sustainability of widely used emerging extraction technologies—Microwave-, Ultrasound- and Enzyme-Assisted, as well as Supercritical Fluid Extraction—and their alignment with GC principles for agri-food waste valorization. It first outlines the principles, key parameters, and main advantages and limitations of each technique. Subsequently, sustainability is then assessed in selected studies using the Analytical GREEnness Metric Approach (AGREEprep). By calculating the greenness score (GS), this metric quantifies the adherence of extraction processes to sustainability standards. The analysis reveals variations within the same extraction method, influenced by solvent choice and operating conditions, as well as differences across the techniques, highlighting the importance of process design in achieving green and efficient valorization. Full article

This study aims to explore the role of government environmental auditing in promoting China’s coordinated goals of “pollution reduction, carbon mitigation, ecological expansion, and growth.” By analyzing 1959 panel data from 227 prefecture-level cities in China between 2011 and 2022, a four-dimensional evaluation framework was constructed, and empirical testing was carried out using a double machine learning method. The results indicate that environmental auditing significantly enhances the synergy of environmental governance, mainly by raising public environmental awareness, promoting industrial clustering, and fostering green innovation. Additionally, green finance provides complementary support to this process. This effect is particularly pronounced in regions with higher levels of marketization, more developed financial technology, and greater environmental expenditure. Based on these findings, this study concludes that environmental auditing plays a crucial role in promoting China’s coordinated goals of “pollution reduction, carbon mitigation, ecological expansion, and growth.” In particular, environmental auditing demonstrates its institutional value in promoting sustainable governance, especially in developing economies. Full article

Solid oxide electrolysis cells (SOEC) system has potential to offer an efficient green hydrogen production technology. However, the significant cost of this technology is related to the high operating temperatures, materials and thermal management including the waste heat. Recovering the waste heat can be conducted through techniques to reduce the overall energy consumption. This approach aims to improve accuracy and efficiency by recovering and reusing the heat that would otherwise be lost. In this paper, thermal energy models are proposed based on waste heat recovery methodologies to utilize the heat from outlet fluids within the SOEC system. The mathematical methods for calculating thermal energy and energy transfer in SOEC systems have involved the principles of heat transfer. To address this, different simplified thermal models are developed in Simulink Matlab R2025b. The obtained results for estimating proper thermal energy for heating incoming fluids and recycled heat are discussed and compared to determine the efficient and potential thermal model for improvement the waste heat recovery. Full article

This study examines the governance of building carbon markets in the context of China’s “dual-carbon strategy”, focusing specifically on the integration of Monitoring, Reporting, and Verification (MRV) systems. The study identifies critical challenges in China’s emissions-trading scheme (ETS), such as weak corporate compliance incentives, high regulatory costs, and concerns about third-party verification independence, which hinder the effectiveness of carbon pricing and technology adoption. Using a three-player evolutionary game model involving the government, carbon-emitting firms, and third-party verifiers, the study finds that moderate government supervision, performance-based incentives, and stronger penalties lead to long-term stability and optimal governance. Based on these findings, policy recommendations are made, including tiered penalties, targeted incentives for green technology adoption, and the strengthening of third-party verification mechanisms to enhance market governance and support China’s carbon-reduction goals in the building sector. Full article

This study examines green investment and emission reduction strategies in a two-tier supply chain under dual-carbon regulation that combines a carbon tax with a cap-and-trade mechanism. A multi-stage dynamic game model is developed, in which the manufacturer reduces emissions through recycling efforts and investments in green technology. We compare optimal decisions under centralized, decentralized, and coordinated structures, and propose an enhanced bilateral cost-sharing contract to improve collaboration. Numerical experiments validate the theoretical results, and sensitivity analyses provide further insights. The results show that while both carbon tax and permit trading increase emission reduction, the carbon tax may lower manufacturer profit, underscoring the need for coordinated policy design. Benchmarking proves more effective than grandfathering in stimulating green investment, particularly under high carbon prices and strong consumer environmental preferences. The proposed contract alleviates free riding, enhances overall supply chain profitability, and improves emission reduction performance. Policy implications highlight the importance of prioritizing benchmark allocation, promoting consumer environmental awareness, and encouraging firms to integrate carbon asset management with technological innovation. This research provides both theoretical and practical insights for designing effective carbon policies and collaborative mechanisms in green supply chains. Full article