Self-Reported Vision Loss, Health Status, and Social Participation Among Middle-Aged and Older Adults-Evidence From China.

Social participation is crucial for enhancing senior's well-being and promoting their integration into society. Using nationwide data investigated in China, this study explored the association between self-reported visual impairment, health level, and social participation among Chinese middle-aged old adults. It has been found that (a) the probability and frequency of social participation among middle-aged and older adults with self-reported vision loss were significantly lower than those without vision problems; (b) self-reported vision loss was negatively associated with self-rated health and mental health status, and both were positively associated with social participation; and (c) self-rated health and mental health played a mediating role between vision loss and social participation. The findings suggest that under the framework of active aging, universal vision screening programs and rehabilitation plans for the older adults with visual impairment are exceedingly significant to promote their participation in social activities, thereby enhancing their quality of life.

How the digital economy is empowering green strategies for breaking carbon lock-in.

In the era of climate change and carbon neutrality, China is actively coping with its carbon lock-in dilemma. In this context, the development of the digital economy is considered a possible path to carbon unlocking. This study contributes to the literature by providing a comprehensive analysis of how the digital economy can be leveraged to address carbon lock-in, highlighting the importance of formal environmental regulation and informal environmental regulation in enhancing this effect. Accordingly, following findings are highlighted. (1) Our primary findings provide strong evidence on the negative effect of the digital economy on carbon lock-in; by implication, improving the digital economy is an efficient measure for eradicating carbon lock-in. (2) The digital economy shows the greatest marginal impact on industrial lock-in, while its inhibiting effect on behavior lock-in is the least pronounced. Moreover, the digital economy plays a prominent role in curbing carbon lock-in in provinces with a higher level of physical, human, and social capital. And the asymmetric impacts of the digital economy on carbon lock-in are significant at most quantiles. (3) Environmental regulation is a significant moderator. Put differently, the synergy of formal environmental regulation and the digital economy, as well as informal environmental regulation and the digital economy, are important means to break carbon lock-in. (4) The carbon lock-in mitigation effect of the digital economy is caused mainly by increasing technical market turnover and the efficiency of energy consumption.

Green credit and industrial green total factor productivity: The impact mechanism and threshold effect tests.

Green credit is an important financial policy tool to solve environmental pollution problems. Improving industrial green total factor productivity (IGTFP) is the key to promote industrial green development. Our study adopts provincial data from 2005 to 2020 to investigate the influence of green credit (GC) on IGTFP. We find that GC significantly improves IGTFP on the whole, industrial structure upgrading and green innovation are the two key impact paths. Threshold model tests show that with the increase of GC, human capital and R&D intensity, the promoting effects of GC on IGTFP are significantly enhanced. Heterogeneity tests indicate that the promoting effect of GC on IGTFP was further enhanced after 2016, GC significantly promotes IGTFP in eastern China, but it is not obvious in central and western China. Besides, the promoting effect of GC on IGTFP is significantly enhanced with the increase of IGTFP. Our research shows that the government should further optimize the green credit system and play the role of green credit in promoting green innovation and industrial structure upgrading.

Recent advances in the research on effects of micro/nanoplastics on carbon conversion and carbon cycle: A review.

Massive production and spread application of plastics have led to the accumulation of numerous plastics in the global environment so that the proportion of carbon storage in these polymers also increases. Carbon cycle is of fundamental significance to global climate change and human survival and development. With the continuous increase of microplastics, undoubtedly, there carbons will continue to be introduced into the global carbon cycle. In this paper, the impact of microplastics on microorganisms involved in carbon transformation is reviewed. Micro/nanoplastics affect carbon conversion and carbon cycle by interfering with biological fixation of CO2, microbial structure and community, functional enzymes activity, the expression of related genes, and the change of local environment. Micro/nanoplastic abundance, concentration and size could significantly lead to difference in carbon conversion. In addition, plastic pollution can further affect the blue carbon ecosystem reduce its ability to store CO2 and marine carbon fixation capacity. Nevertheless, problematically, limited information is seriously insufficient in understanding the relevant mechanisms. Accordingly, it is required to further explore the effect of micro/nanoplastics and derived organic carbon on carbon cycle under multiple impacts. Under the influence of global change, migration and transformation of these carbon substances may cause new ecological and environmental problems. Additionally, the relationship between plastic pollution and blue carbon ecosystem and global climate change should be timely established. This work provides a better perspective for the follow-up study of the impact of micro/nanoplastics on carbon cycle.

Assessing the impact of trade openness on CO2 emissions: Evidence from China-Japan-ROK FTA countries.

After signing the Regional Comprehensive Economic Partnership trade agreement, China became a proposed signatory to another important trilateral free-trade agreement - the China-Japan-South Korea Free Trade Agreement. In the context of the agreement, we explore the potential effect and internal influencing mechanism of trade openness on this region's carbon emissions from 1970 to 2019. We further detect the impact of the agreement by splitting the full sample into two subsamples, one subperiod before the agreement was signed and the other after it was signed. Then we separately analyze the impacts of imports and exports on carbon emissions and find that: (i) Trade openness positively affects the greenhouse effect, and the signing of the agreement can reduce the promotion effect of trade openness on carbon emissions; (ii) imports contribute to increased carbon emissions while exports significantly reduce carbon emissions in a country; and (iii) expanding trade openness not only directly affects carbon emissions directly, but also has indirect impacts by affecting three main effects (i.e., scale effect, technical effect, and structure effect). Finally, several important policy suggestions are provided to mitigate the greenhouse effect and promote high-quality trade openness.

Does national air quality monitoring reduce local air pollution? The case of PM2.5 for China.

Fine particulate matter (PM2.5) has become a major pressing challenge for China and remains a concern of its central government. This paper draws on a natural experiment generated by the National Ambient Air Quality Monitoring Network (NAAQMN) program in China to explore whether national air quality monitoring reduces local air pollution. In this study, we use a city-level dataset for 4200 Chinese cities covering 2001-2015 and a difference-in-differences (DID) assessment design to assess the impact of the NAAQMN program on local PM2.5 emissions in China. The results suggest that the NAAQMN program significantly reduces the local PM2.5 concentrations by 1.325 mg/m3, and each additional NAAQMN program will cause a decrease of 0.154 mg/m3 in the local PM2.5 concentrations. Furthermore, we determine the heterogeneous impacts of the NAAQMN program on local PM2.5 emission levels through the local government leaders' characteristics, PM2.5 emission levels, and economic development levels. In addition, a mediation effect is found between the NAAQMN program and local PM2.5 emissions through the efficiency of environmental governance. The Chinese government should continue to promote the implementation of the NAAQMN program by promoting the NAAQMN program to the county and rural areas as well as adding the sites of the NAAQMN program in the existing cities. Also, during the process of promoting the NAAQMN program, sufficient differentiation in policies should be developed for different cities.

Impact of invasive alien plants on native plant communities and Natura 2000 habitats: State of the art, gap analysis and perspectives in Italy.

Invasive alien plants are a major threat to biodiversity and they contribute to the unfavourable conservation status of habitats of interest to the European Community. In order to favour implementation of European Union Regulation no. 1143/2014 on invasive alien species, the Italian Society of Vegetation Science carried out a large survey led by a task force of 49 contributors with expertise in vegetation across all the Italian administrative regions. The survey summed up the knowledge on impact mechanisms of invasive alien plants in Italy and their outcomes on plant communities and the EU habitats of Community Interest, in accordance with Directive no. 92/43/EEC. The survey covered 241 alien plant species reported as having deleterious ecological impacts. The data collected illustrate the current state of the art, highlight the main gaps in knowledge, and suggest topics to be further investigated. In particular, the survey underlined competition as being the main mechanism of ecological impact on plant communities and Natura 2000 habitats. Of the 241 species, only Ailanthus altissima was found to exert an ecological impact on plant communities and Natura 2000 habitats in all Italian regions; while a further 20 species impact up to ten out of the 20 Italian administrative regions. Our data indicate that 84 out of 132 Natura 2000 Habitats (64%) are subjected to some degree of impact by invasive alien plants. Freshwater habitats and natural and semi-natural grassland formations were impacted by the highest number of alien species, followed by coastal sand dunes and inland dunes, and forests. Although not exhaustive, this research is the first example of nationwide evaluation of the ecological impacts of invasive alien plants on plant communities and Natura 2000 Habitats.

Digital economy and carbon emission: The coupling effects of the economy in Qinghai region of China.

This study provides an in-depth analysis of the complex relationship between the digital economy and carbon emissions, fully drawing on essential principles of environmental economics, coupled economics, and sustainable development theory. Focusing on the Qinghai region in the western province of China, the study employs highly sophisticated methods such as multiple regression analysis and system dynamics modeling to reveal the multidimensional coupling effects between digital economy development and carbon emission dynamics. The study's results clearly show that in the Qinghai region of China, the booming growth of the digital economy is related to carbon emissions. Of particular interest, the study finds that this relationship exhibits a high degree of complexity and non-linearity and evolves gradually over time. Initially, the rapid expansion of the digital economy, accompanied by high energy consumption and increased carbon emissions, posed a significant challenge to environmental protection. However, a clear inverted "U"-shaped relationship has emerged as the digital economy evolves. This key inflection point signals a shift in the landscape as the digital economy begins to deliver some ecological benefits, potentially reducing the trend of carbon emissions in the future. The findings of this study go beyond simple causality and reveal a complex and evolving dynamic relationship between the digital economy and carbon emissions. Through such insights, this study provides a solid academic foundation and carefully constructs actionable policy recommendations to drive sustainable development. These insights apply to the Qinghai region of China and provide valuable references and lessons for other areas facing similar challenges.

Soil bacterial community characteristics and its effect on organic carbon under different fertilization treatments.

Introduction: By implementing small-scale and efficient fertilization techniques, it is possible to enhance the activity of microorganisms, thereby improving soil carbon sequestration and ecological value in agriculture. Methods: In this study, field experiments were conducted using various types of fertilizers: organic fertilizer, microbial fungal fertilizer, composite fertilizer, and an unfertilized control (CK). Additionally, different dosages of compound fertilizers were applied, including 0.5 times compound fertilizers, constant compound fertilizers, 1.5 times compound fertilizers and CK. Using advanced technologies such as Illumina MiSeq high-throughput sequencing, PICRUSt2 prediction, Anosim analysis, redundancy analysis, canonical correlation analysis, and correlation matrix, soil organic carbon (SOC) content and components, bacterial diversity, metabolic functions, and interaction mechanisms were examined in different fields. Results and Discussion: The results showed pronounced effects of various fertilization modes on SOC and the bacterial community, particularly in the topsoil layer (0-20 cm). Organic fertilizer treatments increased the richness and diversity of bacterial communities in the soil. However, conventional doses and excessive application of compound fertilizers reduced the diversity of soil bacterial communities and SOC content. Additionally, different fertilization treatments led to an increase in easily oxidizable organic carbon (EOC) contents. Interestingly, the relationship between SOC components and soil bacteria exhibited inconsistency. EOC was positively correlated with the bacterial diversity index. Additionally, Chloroflexi exhibited a negative correlation with both SOC and its components. The influence of metabolismon primary metabolic functions on the content of SOC components in the soil was more notable. It included seven types of tertiary functional metabolic pathways significantly correlated with SOC components (p < 0.05). Purpose and Significance: These findings enhance the understanding of the relative abundance of bacterial communities, particularly those related to the carbon cycle, by adjusting agricultural fertilization patterns. This adjustment serves as a reference for enhancing carbon sinks and reducing emissions in agricultural soils.

Impact of economic development on soil trace metal(loid)s pollution: A case study of China.

Recently, intensive anthropogenic activities, while promoting economic growth, have also exacerbated soil trace metal(loid) (TM) pollution. To explore the impact of economic development on soil TM pollution, a time-weighted method was introduced to calculate the average concentrations of eight TMs in Chinese topsoil from 2001 to 2020, and panel data on TMs and economic factors of 31 provinces were used for regression analysis. The results revealed that the average concentrations of soil TMs all exceeded their respective soil background values. Meanwhile, the spatial distribution of soil TMs was characterized by obvious regional heterogeneity, with economically developed areas being heavily polluted and having high ecological risks. In addition, the results derived from panel data models showed that the relationship between soil TM pollution and economic development in China presented a continuous growth curve, but with an N-shaped pattern in eastern China, a U-shaped pattern in central China, and a positive linearity in western China. Four control variables were also introduced to evaluate their impact on TM pollution, and the results indicated that the proportion of secondary industry and the road area per capita were the major influencing factors. Ultimately, the inflection point estimation results suggested that the soil TM pollution level will increase in eastern China, central China and western China with ongoing economic growth. Our findings contribute to the current understanding of the relationship between soil TM pollution and anthropogenic activities, and provide a scientific basis for adjusting and planning industrial development and layout according to the characteristics of soil TM pollution.

Research on the impact of digital technology applications on firms' dual innovation in the digital economy context.

In recent years, applications of digital technology have gradually become the primary driving force for enterprise innovation. Although the impact of digital technology applications on enterprise innovation has been recognized by the academic community, existing studies have failed to systematically reveal the mechanism of digital technology applications on firms' dual innovation, overlooking the data-driven dynamic characteristics of innovation development in the digital era, and neglecting external conditions such as environmental complexity. Therefore, based on dynamic capability theory and resource orchestration theory, this study adopts a "technology-economy" research paradigm to explore and analyze the impact of digital technology applications on dual innovation. It also analyzes the mediating role of data-driven dynamic capabilities and the moderating effect of environmental complexity. The article conducts an empirical test using microdata of Chinese Shanghai and Shenzhen A-share listed firms from 2010 to 2021.The research results show that digital technology applications positively promote dual innovation of enterprises and exhibit certain heterogeneity. Data-driven dynamic capabilities play a mediating role in the relationship between digital technology applications and dual innovation. The study also tests the moderating effect of environmental complexity and finds that the higher environmental complexity in which the company operates, the stronger the facilitating effect of digital technology applications.

Net ecosystem productivity of Panjin Phragmites australis wetland during 1971 to 2020 and its impact factors.

Coastal estuarine wetland ecosystem has strong ability for carbon (C) storage and sequestration. Accurate assessment of C sequestration and its environmental impact factors is the basis of scientific protection and mana-gement of coastal estuarine wetlands. Taking the Panjin reed (Phragmites australis) wetland as the object, we used terrestrial ecosystem model, together with Mann-Kendall mutation test, statistical analysis methods, and scenario simulation experiment, to analyze the temporal characteristics, stability, changing trend of net ecosystem production (NEP) of wetlands and the contribution rate of environmental impact factors to NEP during 1971 to 2020. The results showed that the annual average NEP of Panjin reed wetland was 415.51 g C·m-2·a-1 during 1971 to 2020, with a steady increase rate of 1.7 g C·m-2·a-1, which would still have a continuous increasing trend in the future. The annual average NEP in spring, summer, autumn, and winter was 33.95, 418.05, -18.71, and -17.78 g C·m-2·a-1, with an increase rate of 0.35, 1.26, 0.14 and -0.06 g C·m-2·a-1, respectively. In the future, NEP would show an increasing trend in both spring and summer, but a declining trend in both autumn and winter. The contribution rates of environmental impact factors to NEP of Panjin reed wetland depended on temporal scale. At the interannual scale, the contribution rate of precipitation was the highest (37.1%), followed by CO2 (28.4%), air temperature (25.1%) and photosynthetically active radiation (9.4%). Precipitation mainly affected NEP in both spring and autumn with the contribution rates of 49.5% and 38.8%, while CO2 concentration (36.9%) and air temperature (-86.7%) were dominant in summer and winter, respectively.

Impact of urban innovation ability on industrial pollution governance in Chinese cities: taking the Yangtze River Economic Belt as an example.

This paper uses spatial measurement method, by selecting panel data from a total of 106 cities in 11 provinces and municipalities in the Yangtze River Economic Belt from 2006 to 2018, to conduct an empirical study on the impact mechanism of urban innovation ability on industrial pollution governance. The results show that there is a significant negative correlation between urban innovation ability and the degree of industrial pollution, and cities in the Yangtze River Economic Belt have a significant spatial connection. Specifically, this paper finds that urban innovation ability can have a positive impact on urban industrial pollution governance through industrial selection, production technology innovation, pollution discharge technology innovation, and environmental pollution treatment, which will help cities reduce industrial pollution; The industrial pollution governance level of individual cities is not only affected by the innovation ability of the city, but also by the innovation spillover of the surrounding cities. Area surrounded by cities with high urban innovation ability will benefit from the spillover of the surrounding cities. The industrial pollution governance level of individual cities is not only affected by the innovation ability of the city, but also by the innovation spillover of the surrounding cities. Areas surrounded by cities with high urban innovation ability will benefit from the spillover of the surrounding cities, thus improving the industrial pollution control and regional ecological environment. Based on this, this paper proposes relevant policy recommendations for urban industrial pollution governance from the perspective of improving urban innovation ability.

Effect of Mobile Phone Addiction on Physical Exercise in University Students: Moderating Effect of Peer Relationships.

OBJECTIVE: The influence of mobile phone addiction (MPA) on physical exercise in university students was explored, and peer relationships were introduced as a moderating variable. METHODS: A cross-sectional study design was adopted, and an online survey questionnaire was conducted to investigate two universities in Nantong City, Jiangsu Province, and Chongzuo City, Guangxi Zhuang Autonomous Region. A total of 4959 university students completed the questionnaire. Measurement tools included the Mobile Phone Addiction Tendency Scale, the Physical Activity Rating Scale, and the Peer Rating Scale of university students. RESULTS: University students scored 39.322 ± 15.139 for MPA and 44.022 ± 7.735 for peer relationships, with 87.8% of their physical exercise, in terms of exercise grade, being classified as medium or low intensity. The MPA of the university students was negatively correlated with peer relationships (r = -0.377, p < 0.001) and physical exercise behavior (r = -0.279, p < 0.001). The moderating effect of peer relationships on the MPA-physical exercise behavior relationship was significant (ΔR2 = 0.03, p < 0.001). CONCLUSIONS: The physical exercise of university students was at a medium or low intensity. The more serious the university students' addiction to mobile phones was, the lower the amount of physical exercise. The physical activity of males was higher than that of females. MPA and peer relationships were the limiting factors of the physical exercise behavior of university students. Under the lower effect of peer relationship regulation, MPA had a greater negative impact on physical exercise behavior. The data from this research can provide theoretical support to improve the participation of university students in physical activities.

Does green credit reduce carbon emissions? Evidence from China.

Regarding the goal of "carbon peaking and carbon neutrality," an urgent practical problem is how green finance decreases carbon emissions. This paper uses the dynamic spatial Durbin model and China's provincial panel data to empirically test the impact of green credit on carbon emissions. The results show that green credit effectively curbs carbon emissions, and has significant spatial spillover effects on the carbon emissions. In the short run, the spillover effects of green credit on carbon emissions are greater than the direct effects, but in the long run, the direct effects of green credit on carbon emissions are greater than the spillover effects. The mechanism test finds that upgrading industrial structure is an important transmission channel for green credit to affect carbon emissions, and energy consumption only plays a part of the intermediary role in the direct impact of green credit on carbon emissions. However, green credit has not achieved the goal of carbon emission reduction by promoting low-carbon technology innovation.

A novel framework for investigating the mechanisms of climate change and anthropogenic activities on the evolution of hydrological drought.

Climate change and anthropogenic activity are the primary drivers of water cycle changes. Hydrological droughts are caused by a shortage of surface and/or groundwater resources caused by climate change and/or anthropogenic activity. Existing hydrological models have primarily focused on simulating natural water cycle processes, while limited research has investigated the influence of anthropogenic activities on water cycle processes. This study proposes a novel framework that integrates a distributed hydrological model and an attribution analysis method to assess the impacts of climate change and anthropogenic activities on hydrological drought The distributed dualistic water cycle model was applied to the Fuhe River Basin (FRB), and it generated a Nash-Sutcliffe efficiency coefficient > 0.85 with a relative error of <5 %. Excluding the year with extreme drought conditions, our analysis revealed that climate change negatively impacted the average drought duration (-105.5 %) and intensity (-23.6 %) because of increasing precipitation. However, anthropogenic activities continued to contribute positively to the drought, accounting for 5.5 % and 123.6 % of the average drought duration and intensity, respectively, because of increased water consumption. When accounting for extreme drought years, our results suggested that climate change has contributed negatively to the average duration of drought (-113.2 %) but positively to its intensity (7.8 %). Further, we found that anthropogenic activities contributed positively to both the average drought duration and intensity (13.2 % and 92.2 %, respectively). While climate change can potentially mitigate hydrological drought in the FRB by boosting precipitation levels, its overall effect may exacerbate drought through the amplification of extreme climate events resulting from global climate change. Therefore, greater attention should be paid to the effects of extreme drought.

Effects of warming on fine root lifespan of forests: A review.

As an important parameter of forests growth, fine root lifespan plays an important role in plant water and nutrient absorption, and affects underground distribution of photosynthetic products and forest ecosystem carbon cycling. The impact of climate warming on fine root lifespan has become a hot issue under the context of global change. The responses of fine root lifespan to global warming will affect ecosystem carbon balance. We reviewed the research progress of the response characteristics and mechanism of fine root lifespan of trees to warming. Most stu-dies proposed that warming would affect fine root lifespan by changing rhizosphere soil environment, fine root morphology, and tree phenology. However, the growth and death of fine roots were affected by lots of factors, leading to differences in the research results on fine root lifespan due to natural environment of the study area, the way of warming, and the research objects. Therefore, it is of importance to comprehensively analyze the responses of fine root lifespan in forests under the background of climate warming to study the underground ecological process. In the future, the following research should be strengthened: 1) Combining multiple methods to warming underground and aboveground simutaneously, and explore more accurate and effective non-destructive observation methods. 2) Combining multiple observations to study the effects of warming on fine root lifespan. 3) Carrying out research on the effect of warming on fine root lifespan of different tree species, and deeply understand the response mechanism of fine root lifespan of different trees to warming. 4) A comprehensive analysis of the effects of warming on fine root lifespan from various perspectives, and an investigation into the mechanism of the combined effects of various factors on fine root lifespan. 5) The interaction between warming and other environmental factors fine root lifespan. 6) The effect of root architecture on the fine root lifespan after warming. 7) The effects of rhizosphere microorganisms (bacteria and fungi) on fine root lifespan after warming.

What impacts do green bonds have on carbon emissions and how? A dynamic spatial perspective in China.

Green bonds are adopted to exclusively finance or refinance green projects and thus is an important policy instrument for sustainable development. The development of these eco-friendly projects benefits the reduction of carbon emission. What impacts do green bonds have on carbon emission intensity and how? This issue needs to be revealed, including the dynamic spatial interactive rules and regional heterogeneity. This is especially true for China, with its vast territory and a short history of green bonds. Different with existing literature, this paper collects the data of the amount of green bond issued in each province in China rather than the policy dummy variable of green bond. The spatio-temporal interactions of both the impact of green bonds and the related mechanisms are studied. A dynamic spatial Durbin model (DSDM) combined with a STIRPAT (Stochastic Impacts by Regression on Population, Affluence and Technology) model reveals the negative impacts of green bonds on carbon emissions and the spatio-temporal interactions. On this basis, the mediation model is introduced to clarify the three impact mechanisms of green bonds and find the predominant role of technology mechanism. In addition, different characteristics in spatial interactive rules and impact mechanisms of green bonds are found in various regions of China. Finally, the study proposes some policy recommendations on how to effectively reduce carbon emissions with green bonds.

Exploring the ecosystem of K-12 online learning: an empirical study of impact mechanisms in the post-pandemic era.

With the normalization of the COVID-19 epidemic, online learning has gained prominence in the post-epidemic era. Gaining a comprehensive understanding of how online learning influences learning outcomes is essential for the success of large-scale online education initiatives. This study proposed a conceptual model based on an ecosystem theory to investigate the impact of K-12 online learning on academic achievement. A survey was conducted among 1,625 K-12 school students in Shenzhen, China, utilizing Structural Equation Modeling (SEM) for data analysis. The results indicate the following: (1) online learning engagement directly predicts academic achievement and mediates personal and environmental factors; (2) Family involvement and school support have similar impacts, with family involvement slightly stronger; (3) The Big Five Personality, especially conscientiousness, openness, and emotional stability, mediate the influence of family and school investment; and (4) School support affects academic achievement through online learning engagement, with emotional engagement being most significant. Our model illuminates the mediating role of online learning engagement, the impact of family involvement and school support, and the significance of Big Five Personality traits in K-12 online learning. This study contributes to the theoretical and practical understanding of the online learning ecosystem in the post-pandemic era, seldom explored in K-12 settings.

How does digital finance affect sustainable economic growth? Evidence from China.

Digital finance is an innovative financial model of great significance for sustainable economic growth. By constructing indicators of sustainable economic growth, we explore the impact of digital finance on sustainable economic growth using the fixed effect model, mediating effect model, threshold regression model, and dynamic spatial Dubin model. The study finds that digital finance can drive sustainable economic growth, and the robustness and endogenous treatment results strongly verify this. Digital finance promotes sustainable growth mainly through technological innovation. In addition, with technological innovation and the development of renewable energy, there is a significant nonlinear relationship between digital finance and sustainable economic growth. Finally, the spatial spillover effect results show that digital finance's impact on sustainable economic growth has a positive effect, whether it is a direct effect or an indirect effect. This article provides possible ideas for digital finance to promote sustainable economic growth.