Green Technology Research Articles

Information disclosure and funding success of green crowdfunding campaigns: a study on GoFundMe

AbstractCrowdfunding has become important in increasing financial support for the development of green technologies. Self-disclosed information significantly affects supporters’ decisions and is important for the success of green project funding. However, current studies still lack investigations into the impact of information disclosure on green crowdfunding performance. This research aims to fill this knowledge gap by exploring eight information disclosure-relevant factors in green crowdfunding performance. Applying machine learning techniques (e.g., Natural Language Processing and Computer Vision) and logistic regression, this study investigates 720 green crowdfunding campaigns on GoFundMe and empirically finds that the duration, length of campaign introductions, and length of the title influence fundraising outcomes. However, no evidence supports the impact of goal size, emotion of campaign introduction, or image content on funding success. This study clarifies the information disclosure-related data that green crowdfunding campaigns should consider and provides founders with a constructive guide to smoothly raise money for a green crowdfunding campaign. This study also contributes to data processing methods by providing future studies with an approach for transferring unstructured data to structured data.

Pulsed Electric Field for Quick-Cooking Rice: Impacts on Cooking Quality, Physicochemical Properties, and In Vitro Digestion Kinetics

Pulsed electric field (PEF) is one of the emerging technologies that has been applied in many aspects of the food industry. This study examined the impacts of a PEF on the cooking quality, physicochemical properties, nutritional factors, and in vitro protein and starch digestion of two varieties of rice, including Jasmine 105 (white non-glutinous rice) and San Pa Tong 1 (white glutinous rice). Response surface methodology (RSM) and a three-level, three-factor Box–Behnken design were employed to assess the effects of the pulse number, electric field strength, and frequency on cooking time. The findings demonstrated that the number of pulses was a crucial factor influencing cooking time. Under optimal conditions (3347–4345 pulses, electric field strengths of 6–8 kV/cm, and frequencies ranging from 6 to 15 Hz), the rice cooking time was significantly reduced by 40–50% (p < 0.05) when compared to a conventional method. Moreover, PEF-treated rice showed a significant enhancement in in vitro protein and starch digestibility (p < 0.05), as well as retained a higher content of rapidly digestible starch. These results suggested that PEF treatment is a promising green technology for producing a novel quick-cooking rice with an improved eating quality.

Formulation and Evaluation of Herbal Lipstick

A considerable amount of literature has been published on several aspects of lipsticks Production. To date, there is no collation of studies related to lipsticks production that has been published. This review was conducted to examine information about the history of lipsticks; ingredients Used in the Preparation of lipsticks, focusing on the natural and chemical ingredients; methods of Preparation for the Lipsticks; and the characterization of the lipsticks. A literature search for English Language articles was Conducted by searching electronic databases including Web of Science, Scopus, PubMed, and Google Scholar. Overall, the evidence indicates that lipsticks have been used since Ancient times and are among The highest demand cosmetics. The findings of this review summarize Those of earlier studies that explained The use of different types of ingredients in the manufacturing Processes of lipsticks. It highlights the Importance of using green technology and ingredients..

CHALLENGES FACING SUSTAINABLE ENTREPRENEURSHIP

The concept of sustainable entrepreneurship is becoming an increasingly pivotal area of focus in the global effort to address a range of pressing challenges, including climate change, resource scarcity, and social inequality. Entrepreneurs who integrate economic, environmental, and social goals into their business models can serve as pivotal agents in achieving both profitability and societal well-being. Nevertheless, despite the growing interest in sustainable business models, entrepreneurs encounter considerable obstacles that impede the scalability and success of their ventures. This study focuses on the identification and analysis of the principal obstacles across five key dimensions: economic, regulatory, social, technological, and environmental. The aim of this research is to examine the difficulties encountered by those engaged in sustainable entrepreneurship and to suggest strategies for surmounting these challenges. Methodologically, the study employs a multi-dimensional approach, with each challenge examined through qualitative analysis. The economic challenges, including the high initial costs and difficulties in accessing funding, are identified as some of the most significant barriers. The presence of regulatory challenges, such as inconsistent environmental policies and the absence of governmental incentives, serves to further complicate the business landscape. Furthermore, social challenges, such as consumer reluctance to pay higher prices for sustainable products and resistance to adopting new, eco-friendly habits, also play a crucial role in hindering the success of sustainable ventures. Furthermore, the absence of access to sophisticated green technologies and the requisite expertise to deploy them constitutes a substantial technological impediment for entrepreneurs. The results of the study indicate the existence of several potential avenues for addressing these challenges. For example, the increasing consumer demand for environmentally friendly products and services, in conjunction with technological advancements, presents a substantial opportunity for sustainable entrepreneurship. The practical value of the research lies in its strategic recommendations, which encourage collaboration between policymakers, businesses, and investors. Such collaborative endeavours can facilitate the creation of an enabling environment for sustainable entrepreneurship, thereby reducing economic and regulatory burdens while simultaneously promoting technological advancements. In conclusion, the study emphasises the necessity of a coordinated approach in order to overcome the barriers faced by sustainable entrepreneurs. By capitalising on emerging opportunities and cultivating a supportive ecosystem, entrepreneurs can simultaneously achieve financial success and a positive impact on society and the environment.

Improving corporate profitability from the inside out with environmental performance: an empirical analysis based on Chinese listed company data

This study uses data from listed companies in China from 2008 to 2021, constructs a comprehensive evaluation of corporate environmental performance from the perspective of internal efficiency and externalities based on the text analysis method, and analyzes the impact and mechanism of environmental performance on profitability. In addition, we find that improving environmental performance can significantly increase profitability, especially if the company tackles pollution at the source. Furthermore, the impact of environmental performance on profitability tends to be driven by external markets. Obtaining environmental certifications, awards, and green patents can provide positive feedback and significantly increase profitability. In addition, the mechanism analysis shows that environmental performance affects firm profitability by improving green technology innovation, reducing financing constraints and increasing operating income. Finally, the results of the heterogeneity analysis show that the profitability-enhancing effect of environmental performance is stronger in non-state-owned firms, in clean industries firms and in regions with carbon emission trading.

Self-sacrificing and self-supporting biomass carbon anode–assisted water electrolysis for low-cost hydrogen production

Electrooxidation of renewable and CO2-neutral biomass for low-cost hydrogen production is a promising and green technology. Various biomass platform molecules (BPMs) oxidation assisted hydrogen production technologies have obtained noticeable progress. However, BPMs anodic oxidation is highly dependent on electrocatalysts, and the oxidation mechanism is ambiguous. Meanwhile, the complexity and insolubility of natural biomass severely constrain the efficient utilization of biomass resources. Here, we develop a self-sacrificing and self-supporting carbon anode (SSCA) using waste corncobs. The combined results from multiple characterizations reveal that the structure-property-activity relationship of SSCA in carbon oxidation reaction (COR). Theoretical calculations demonstrate that carbon atoms with a high spin density play a pivotal role in reducing the adsorption energy of the reactive oxygen intermediate (*OH) during the transition from OH- to *OH, thereby promoting COR. Additionally, the HER||COR system allows driving a current density of 400 [Formula: see text] at 1.24 V at 80 °C, with a hydrogen production electric consumption of 2.96 kWh Nm-3 (H2). The strategy provides a ground-breaking perspective on the large-scale utilization of biomass and low-energy water electrolysis for hydrogen production.

Blockchain-enabled integrated three-layer bio-circular economy model with wastewater treatment, emissions, and controlled cheese spoilage

ABSTRACT Regulatory and market forces compel companies to integrate transparency and sustainability into their operations. In response to the pressing need, the study proposes a blockchain-enabled, sustainable, integrated three-layer inventory model for the cheese industry under carbon cap-and-trade policy. The ultimate aim is to maximize the integrated total profit of the system with optimal investment in green technology. Prior studies have neglected to account for blockchain costs and spoilage rate control, whereas our findings demonstrate that strategic investments in preservation technology yield substantial reductions in spoilage rates. Results indicate that the downstream end of the supply chain, retail, also plays a crucial role in maintaining total profitability, indicating the significance of collective inventory management along with sustainability initiatives. This study concludes that technology-driven sustainability initiatives, coupled with effective spoilage management, can optimize sustainability outcomes in the cheese supply chain without compromising financial performance.

The role of mosses in 'clean and green' phytoremediation technology: a review paper.

Phytoremediation, the practice of removing heavy metals from contaminated sites using plants, has emerged as a cost-effective, environmentally friendly green technology to restore damaged ecosystems. Mosses, in particular, demonstrate high phytoremediation potential due to their ability to accumulate heavy metals such as lead, zinc, copper, chromium, cadmium, and iron from contaminated soil and water. This review systematically examines 37 research articles published from 2000 to 2022, focusing on the on the use of mosses for phytoremediation. Moss species, such as Funaria hygrometrica Hedw, Scopelophila cataractae (Mitten) Brotherus, Dicranum scoparium Hedw, Dicranum polysetum Sw. ex anon, Hypnum cupressiforme Hedw, Physcomitrium cyathicarpum Mitt, Barbula constricta Mitt, and Leptodictyum riparium (Hedw.) Warnst. have been identified as ideal candidates for phytoremediation efforts. Specific species of mosses, such as Dicranum species, are noted for their excellent bioaccumulation capabilities of elements like vanadium, manganese, and rubidium, serving as indicators of air pollution. Additionally, Hypnum cupressiforme has proven to be a reliable indicator of sulfur dioxide in natural and anthropogenic sources. This comprehensive review highlights the significant phytoremediation potential of mosses, emphasizing their role as valuable bioaccumulators and indicators of heavy metals and pollutants. The findings highlight the necessity of further research to enhance the application of mosses in environmental management and remediation strategies, ultimately contributing to the development of sustainable and effective solutions for pollution control.

Developing a theoretical framework for enhancing green project approaches via Agile methodology.

The application of green building approaches has significantly increased in many countries and buildings, accompanied by the development of numerous standards and methodologies for their implementation. Despite these efforts, not all risks and challenges facing green projects have been eliminated in some regions. Issues such as financing difficulties, budget overruns, and schedule delays continue to pose significant challenges. As a result, no substantial improvements have been made in the approach to green projects. Therefore, this study aims to develop a theoretical framework that enhances the approach to green projects. By utilizing the AGILE methodology, specifically SCRUM, the most significant risks facing green projects were identified and converted into indicators based on prior studies. Furthermore, Building Information Modeling (BIM) technology, particularly Green BIM (GBIM), was employed to create tools and elements to address these challenges, leading to the development of a conceptual framework capable of providing solutions. This framework was built around 30 indicators, whose weights were determined through an electronic questionnaire involving 140 specialists in green projects, AGILE methodology, and BIM technology. Assistance from academic experts was also sought. The results of the questionnaire, analyzed using statistical methods, contributed to the development of a theoretical framework aimed at improving the approach to green projects.

Climate legislation and green agricultural production: impacts, transmission mechanisms and heterogeneities

PurposeThis study examines the impact of climate legislation on green agricultural production and tests the heterogeneous impact of different types of climate legislation on agricultural green production.Design/methodology/approachIn this study, the super-slacks-based measure (super-SBM) model is used to calculate agricultural green total factor productivity (AGTFP). The impact of climate legislation (including legislative acts and executive orders) on AGTFP is examined through regression analysis. The transmission mechanism of climate legislation affecting agricultural green production is further investigated.FindingsThis study shows that climate legislation has a positive long-term effect on AGTFP. It stimulates innovation in agricultural green technology but has a negative impact on resource allocation efficiency. Executive orders have a more significant effect on AGTFP than climate legislative acts. The effectiveness of climate legislation is more significant in countries with stronger legislation. Moreover, climate legislation reduces AGTFP in low-income countries while enhancing AGTFP in high-income countries. This effect is most prominent in upper-middle-income countries.Originality/valueThis study examines the different effects of various types of climate legislation, considering the level of economic development and the strength of the legal system on AGTFP. The findings can offer a global perspective and insights for China’s policymaking.

Green technology innovation or pollution substitution? an evolutionary game for high-Energy-consuming enterprises’ strategy from a consideration of energy-consuming trading rights

ABSTRACT The energy-consuming rights trading (ECRT) environmental regulatory policy starting from demand side reform has a significant influence on the enterprises’ production strategies. However, there is still a lack of research on dynamic mechanisms from a micro perspective. Referencing ECRT policy implementation, this paper incorporates government, the public, and high-energy-consuming enterprises into a unified framework, and constructs a tripartite evolutionary game model to explore the enterprises’ production strategy under the reward and punishment accountability mechanism. Then, a case study is addressed to examine the role of government. The results show that: (1) The steady-state conditions of the three parties depend on their own cost–benefit circumstances. Enterprises’ production strategy is driven by the coordination of the government and the public. (2) Achieving ideal equilibrium path evolution requires that the expected benefits of green technology innovation more strongly than the expected benefits of ‘pollution substitution’ practices. (3) A strict accountability system that includes penalties and rewards can enhance public supervision and accelerate the transformation of government active regulatory supervision strategies, stimulating the internal driving forces that motivate enterprises’ green technology innovation. The findings provide references for promoting the implementation of ECRT and helping to achieve the strategy of ecological civilisation construction.

Physicochemical and Antimicrobial Properties of Lactic Acid-Based Natural Deep Eutectic Solvents as a Function of Water Content

The interest in natural deep eutectic solvents (NADESs) in green technology as an alternative to organic solvents has grown over the past decades. In this work, for the first time, the effect of dilution with water on the physicochemical and antimicrobial properties of lactic acid-based NADES with choline chloride (NADES1), sorbitol (NADES2), and glucose (NADES3) was systematically studied. According to FTIR data, after the dilution of NADESs with water, the strong hydrogen bonds weakened, however, were not destroyed after dilution of up to 40% water. The dilution of NADES with water resulted in a linear decrease in density and refractive index and in a linear increase in pH. The equations for the prediction of NADES density, pH, and refractive index as a function of water content were calculated. The viscosity decreased by half after adding approximately 10% water. The initial viscosity of NADES2 and NADES3 was significantly different. However, after adding 20% of the water, the viscosity was almost the same. The most pronounced decrease in surface tension (by 46.7%) was found for NADES1. The water activity was decreased in the following order: NADES3 > NADES1 > NADES2. The dilution of NADES with water caused a gradual increase in water activity. NADES1 showed the lowest minimal inhibitory concentrations (MIC) (7.8, 3.9, and 0.98 mg/mL) and minimum bactericidal concentrations (MBC) (15.6, 7.8, and 1.95 mg/mL) for Escherichia coli, Pseudomonas aeruginosa, and Staphylococcus aureus, respectively. The antimicrobial activity was decreased by 2–8 times after the addition of 40% water. The water activity for all tested NADES together with low pH could explain the antimicrobial effect. The revealed regularity can be useful for the prediction of NADES properties and for the selection of green solvents on a laboratory and industrial scale.

Water Footprint Reduction in Oil and Gas Refineries through Water Reuse: A Systematic Review

Oil and gas refineries are highly water-intensive industrial settings, with effluent containing a significant level of pollution stemming from diverse organic and inorganic compounds. Besides adhering to discharge standards for industrial effluent, incorporating treated oil refinery effluent (ORE) into the production cycle can play a pivotal role in curbing water consumption. In recent years, there has been research into different approaches to reclaiming ORE. Yet, selecting treatment methods that are technically, economically, and environmentally effective is crucial to preventing resource waste. Therefore, this study aimed to examine the last two decades of literature on methods and technologies used for ORE treatment. Based on the inclusion criteria, the final screening included 82 studies, with acceptable agreement assessed using Cohen's inter-examiner kappa equal to 0.86. The included studies were of biological treatment (n = 27), physicochemical processes (n = 12), advanced purification processes (n = 16), membrane-based technologies (n = 15), and green technologies (n = 13). This comprehensive review showed that the advanced membrane-based techniques are effective in the removal of pollutants from ORE for several reasons, such as reducing the consumption of chemicals, high efficiency, and ease of setup and maintenance. However, combined methods with a focus on membrane-based processes (e.g. UF-RO) are the most promising options for the reclamation of ORE. Since some effluent treatment methods require the use of chemicals and energy to run, future research should focus on environmentally friendly methods and the use of renewable energy.

Cooperation and Production Strategy of Power Battery for New Energy Vehicles Under Carbon Cap-and-Trade Policy

Considering the supply chain composed of a power battery supplier and a new energy vehicle manufacturer, under the carbon cap-and-trade policy, this paper studies the different cooperation modes between the manufacturer and the supplier as well as their strategies for green technology and power battery production. Three game models are constructed and solved, respectively, under the collaboration mode of wholesale purchasing, patent-licensed manufacturing, and own R&D + Wholesale purchasing. The equilibrium analysis is carried out. Finally, the influence of relevant parameters is explored through numerical simulation. It is found that (1) the manufacturer’s choice of optimal battery production strategy is influenced by the input cost of green technology, the production cost of power battery, the carbon trading price, and the free carbon quota allocated by the government; (2) the cost coefficient of technological innovation affects negatively the optimal decision-making of the supply chain members, the market demand, and the optimal profit, and it has no impact when the cost coefficient reaches a certain value; (3) carbon cap-and-trade policy can, to a certain extent, incentivize suppliers and manufacturers to carry out technological innovation to reduce carbon emissions in the production process, but we cannot ignore the negative impacts of excessively high carbon trading price on the level of emission reduction and the market demand; and (4) the government should reasonably control the carbon price and carbon quota. The above conclusion will provide reference suggestions for new energy vehicle manufacturers and related suppliers.

Mapping the trajectories of digital technology innovation in the construction industry: an integrated SPNP and Louvain approach

PurposeDespite the continuous development and application of new digital technologies in the construction industry, there has been little research on digital technology trajectories in the construction industry. The study addresses the issue faced by the construction industry in exploring digital technology trajectories: how to comprehensively identify and analyse digital technology pathways across multiple technology fields in the construction industry.Design/methodology/approachFirstly, the digital technology patent identification and classification method based on text mining is used to identify digital technology patents and construct a digital technology innovation network. Second, the main path of the digital technology innovation network is identified with the help of SPNP. Then, the subpaths of the digital technology innovation network are identified with the help of the Louvain algorithm and SPNP. Finally, starting from the technology nodes where the main path and subpaths intersect, the technological similarity of the paths is analysed to explore the evolutionary characteristics of the technology trajectories. In light of this, the developed method is applied to the global construction industry patent dataset to analyse the trajectories of digital technologies.FindingsThe technological innovation path in the construction industry starts with construction materials and gradually expands to intelligence, automation and digital data processing technology. Equipment and devices with electronic digital data processing capabilities as well as improvements in green building technologies and user experience-enhancing technologies, may be the future of the construction industry. With the increasing demand for green buildings and intelligent buildings, the direction of digital technology innovation in the construction industry is gradually tilted towards these areas. In addition, influenced by geographic and economic factors, there is a spatial clustering effect of digital technology innovation in the construction industry.Research limitations/implicationsFuture research should analyse in depth the performance of different countries and regions in digital technology innovation and explore the root causes, motivations and influencing factors behind it, such as the policy environment, the level of the economy and the investment in research and development. Exploring the reasons affecting digital technology innovation can help formulate more targeted policies and promote cooperation and exchange of digital technology innovation in the global construction industry. Meanwhile, to solve the problems of overly broad IPC categorization and the difficulty of accurately describing cross-field innovations, combining IPC co-occurrence networks with patent citation networks is an effective strategy. This strategy can track technologically interrelated patents and provide more specific contents to know the advantages and challenges of the construction industry in the field of digital technology innovation.Practical implicationsThe study has practical implications for the construction industry. The identification of digital technology innovation trajectories provides valuable insights for industry firms and research institutes. It helps them understand the current and future directions of digital technology in construction, enabling them to stay at the forefront of technological advancements. The findings highlight the importance of focusing on areas such as solar energy utilisation, green energy, intelligence, automation and data applications. This knowledge can guide firms in developing new building materials, incorporating digital information technologies and enhancing user experiences. The study’s results can inform strategic decision-making, technology adoption and innovation management in the construction sector.Social implicationsThe social implications of this study are significant for various stakeholders. The identification of digital technology innovation trajectories in the construction industry highlights the potential benefits for society. The focus on green energy, intelligent buildings and enhanced user experiences aligns with the increasing demand for sustainability, energy efficiency and comfortable living environments. These technological advancements can contribute to reducing environmental impact, improving quality of life and promoting sustainable development. The findings can inform policymakers, urban planners and architects in shaping regulations, designing sustainable cities and creating buildings that prioritize energy efficiency and user well-being. Ultimately, the study’s social implications aim to foster a more sustainable and livable built environment.Originality/valueAn identification method integrated with SPNP and the Louvain algorithm is developed to map digital technology innovation trajectories in the construction industry. This study helps to reveal the trajectories of digital technology innovation, provides new perspectives, insight and ideas for research in related fields and has great potential for applications in practice to promote the innovation and development of the construction industry.

Heterogeneous effects of environmental regulations on green technology innovation: measurement by using patents and evidence from China’s prefecture-level cities

Heterogeneous effects of environmental regulations on green technology innovation: measurement by using patents and evidence from China’s prefecture-level cities

Green building adoption: Emphasizing energy efficiency and water conservation

Acceleration of development in Indonesia requires the adoption of Green Building that prioritizes efficiency, energy and water conservation. Previous studies have shown that perception, policy, regulation, and knowledge influence the adoption of green buildings for energy efficiency and sustainability. This study offers a step to explore the implementation of Green Building in East Java, assessing the cost, perception, and government policy for the success of green buildings. This study analyzes the influence of individual attitudes, perceived ease, and social support on the intention to adopt green technology. This study uses an interactive questionnaire to collect valid data, analyze Green Building adoption factors, and provide strategic recommendations with a sample size of 111 that have contributed to green buildings in East Java. This study reveals that attitude (R² = 0.924) and intention (R² = 0.933) contribute significantly to the adoption of green buildings in East Java. Meanwhile, funding variables and government policies do not show a significant impact. Simultaneous tests show a significant influence of attitude with an F value of 13.938.

Exploring Recent Advances in Lignocellulosic Biomass Waste Delignification Through the Combined Use of Eutectic Solvents and Intensification Techniques

Growing awareness of resource sustainability and waste management has driven the search for circular-economy solutions. Lignocellulosic biomass waste, the most abundant renewable carbon resource, offers green potential as an alternative to declining non-renewable fuels. However, due to its recalcitrant nature, it requires pre-processing to convert it into valuable products like energy and chemicals. Biorefineries play a key role in this process by promoting the integral use of biomass, by finding ways to utilize lignin, previously treated as waste. Common pretreatment methods are unsustainable, prompting research into eco-friendly solvents and advanced techniques like ultrasound- and microwave-assisted methods. Recent approaches have also explored the use of eutectic solvents, which, when combined with these intensification techniques, offer promising results. These green technologies improve delignification efficiency, which in turn improves the saccharification process, reduces solvent use, and minimizes environmental impact. Despite progress, challenges remain in making these methods economically viable and adaptable to diverse biomass types. This review article highlights recent advances in sustainable treatment technologies, including the combined use of eutectic solvents and process-intensification techniques, and the potential of the obtained lignin in various industrial applications. It also discusses future prospects for more environmentally friendly processes in biomass utilization.

Multiple environmental regulations and green technology innovation: a boundary theory perspective

Purpose Based on boundary theory, the authors try to clarify the boundaries of multiple environmental regulations. This paper aims to explore the strategic choices of multiple environmental regulations, analyze their spatial impact on green technology innovation and clarify the implementation priorities of multiple environmental regulations in various regions. Design/methodology/approach The authors construct an asymmetric response model based on the boundary theory perspective to analyze the strategic choices of different environmental regulations. In addition, dynamic spatial econometric methods are used to empirically analyze the differentiated regulatory boundaries of command-control type, market-incentive and voluntary-participation in environmental regulations and their spatial effects on green technology innovation. Findings Strict compulsory boundaries are formed in China when the command-control and market-incentive types are selected in a dynamic spatial and competitive game environment. When voluntary participation is selected, strict compulsory or loose basic boundaries are formed in each region. The command-control type is highly dependent on geographical distance, the market-incentive type is more dependent on an economic connection and the voluntary-participation type has obvious spatial spillover effects under the spatial weight matrix of geographical distance and economic connection. When Eastern China chooses voluntary participation in environmental regulation, the incentive effect on green technology innovation is the strongest. Middle China is the market-incentive type, and Western China is the command-control type. Command-control type and market-incentive type form strong complementary effects in dynamic spatial environments. Originality/value From the boundary theory perspective, this study analyzes the differentiated dynamic spatial boundaries of command-control, market-incentive and voluntary-participation in environmental regulations. Analyze the spatial impact of multiple environmental regulations on green technology innovation and clarify the implementation priorities of multiple environmental regulations in various regions.

Digital economy, technology, and urban carbon emissions nexus: an investigation using the threshold effects and mediation effects tests

IntroductionThis study aims to explore the mechanisms by which the digital economy influences urban carbon emissions in China, with a particular focus on potential threshold effects and the mediating role of technology. As the digital economy grows, it impacts various environmental metrics, including carbon emissions, necessitating a deeper understanding of its nonlinear dynamics and implications for sustainable urban development.MethodsUsing panel data from 286 prefecture-level cities in China spanning from 2012 to 2021, we apply threshold effect models and mediation effect tests. The threshold effect model is employed to investigate non-linear characteristics of the digital economy’s impact on carbon emissions, while the mediation effect model assesses the role of technology as an intermediary in this relationship.ResultsThe threshold effect model reveals a single threshold in the impact of the digital economy on urban carbon emissions, indicating a nonlinear relationship. Initially, the influence of the digital economy on emissions is weak, but as the digital economy develops, its effect becomes more pronounced. The mediation effect model demonstrates that technological advancement can offset the increase in emissions associated with digital economic growth, thus showcasing technology’s potential to mitigate environmental impacts.DiscussionThe findings suggest that while the digital economy generally promotes urban carbon emissions, its impact is non-linear and mitigatable through technological innovation. To curb emissions in urban areas, fostering technological innovation and supporting green technology research and development are critical. Moreover, enhancing management and supervision within the digital economy sector can contribute to balancing economic growth with environmental goals. These insights are valuable for policymakers striving to harmonize digital economic expansion with sustainable environmental practices.