Search Results (4,630)

This study pioneers an investigation into how artificial intelligence (AI)—shaped by financial development and knowledge production—is transforming the energy transition across BRICS economies and paving the way for a digitally enabled, sustainable future. Using panel data for 2005–2020, the findings confirm that AI is the primary driver of both explicit (EET) and implicit (IET) energy transitions in the BRICS nations, while economic growth, human capital, and financial globalization play comparatively smaller roles. We further find that AI’s effect on the explicit transition is fully mediated by efficiency gains. Financial development weakens—whereas knowledge production strengthens—AI’s green impact. Robustness checks across alternative models support these results, and spillover analyses indicate that cross-border AI advances, economic growth, human capital, and innovation flows shape each BRICS country’s energy-transition path. Based on these findings, the study proposes coordinated policy packages to harness AI for the energy transition while managing distributional and cross-border effects. Full article

With environmental and economic disruptions occurring faster than ever before, the link between green innovation and national competitiveness deserves further analysis. This article investigates how sustainability-oriented strategies (particularly investments in research and development (R&D), renewable energy, and innovation capacity) affect the performance of environmental goods exports and national economic resilience. An exploratory cross-sectional analysis is conducted using multiple linear regression models applied to a sample of 14 countries, including the seven most sustainability-oriented economies and seven countries whose economic growth relies predominantly on fossil fuels. The results suggest a strong positive relationship between R&D expenditure and green trade competitiveness, while renewable energy consumption indicators produce mixed or even negative short-term effects. Adjusted net savings emerge as a robust indicator of both growth and competitiveness. However, no significant associations were found between renewable energy indicators and economic resilience, highlighting transitional trade-offs and institutional barriers inherent in ecological transformation. The study contributes to the growing literature on green transitions by combining macroeconomic indicators of innovation and sustainability with export performance. Policy implications include aligning innovation strategies with trade objectives, improving the measurement of green competitiveness, and supporting institutional preparedness for the transition. Full article

Tractors are widely used self-propelled power machinery. Electrification is one of the main directions for the green and low-carbon development of tractors. Currently, electric tractors have become one of the main research hotspots in countries around the world. This study provides a comprehensive review of the research progress on electric tractors in China. Firstly, a brief analysis is conducted on the development history of electric tractors, the current research status in other countries around the world, and the situation regarding China’s tractor industry. Secondly, the classifications and characteristics of electric tractors are summarized. We focused on the research progress of electric tractor motors and their drive transmission systems, batteries, and energy management technology, as well as other key technologies. Finally, some opportunities and challenges faced by the development of electric tractors in China are pointed out from the aspects of market demand, national policies, and standard setting. Full article

This study evaluates the eco-efficiency and eco-productivity of 141 countries using data-driven analytical frameworks over the period 2018–2023, covering the pre-COVID, COVID, and post-COVID phases. We employ an input-oriented Slack-Based Measure Data Envelopment Analysis (SBM-DEA) under variable returns to scale (VRS), combined with the Malmquist Productivity Index (MPI), to assess both static and dynamic performance. The analysis incorporates three inputs—labor force, gross fixed capital formation, and energy consumption—one desirable output (gross domestic product, GDP), and one undesirable output (CO₂ emissions). Eco-efficiency (the joint performance of energy and carbon efficiency) and eco-productivity (labor and capital efficiency) are evaluated to capture complementary dimensions of sustainable performance. The results reveal significant but temporary gains in eco-efficiency during the peak pandemic years (2020–2021), followed by widespread post-crisis reversals, particularly in labor productivity, energy efficiency, and CO₂ emission efficiency. These reversals were often linked to institutional and structural barriers, such as rigid labor markets and outdated infrastructure, which limited the translation of technological progress into operational efficiency. The MPI decomposition indicates that, while technological change improved in many countries, efficiency change declined, leading to overall stagnation or regression in eco-productivity for most economies. Regression analysis shows that targeted policy stringency in 2022 was positively associated with eco-productivity, whereas broader restrictions in 2020–2021 were less effective. We conclude with differentiated policy recommendations, emphasizing green technology transfer and institutional capacity building for lower-income countries, and the integration of carbon pricing and innovation incentives for high-income economies. Full article

This study addresses this gap by proposing a multilevel fuzzy evaluation model combined with an analytic hierarchy process (AHP) to quantify the greenness of furniture products across their entire lifecycle. Focusing on an office desk as a case study, we developed an indicator system encompassing environmental attributes, resource efficiency, energy consumption, economic costs, and quality performance. Weighting results revealed that environmental attributes (27.2%) and resource efficiency (27.2%) dominated the greenness evaluation, with material recycling rate (33.5%) and solid waste pollution (24.3%) as critical sub-indicators. The prototype achieved a moderate greenness score of 70.38/100, highlighting optimization potential in renewable material adoption (10% current rate) and modular design for disassembly. Mechanically recycled materials could reduce lifecycle emissions by 18–25% in key categories. The model demonstrates scalability for diverse furniture types and informs policy-making by prioritizing high-impact areas such as toxic material reduction and energy-efficient manufacturing, thus amplifying its global and interdisciplinary multiplier effects. Full article

Industrial structure upgrading serves as an important driving force for the sustained and healthy development of the economy, and it has a positive effect on reducing carbon emission intensity. This study uses provincial panel data from China from 2004 to 2019, starting from the dual perspectives of green total factor productivity and labor misallocation, and employs a four-stage mediation regression model to estimate the mechanism of industrial structure upgrading on carbon emission intensity. The research findings show that: for every 1% increase in industrial structure upgrading, carbon emission intensity will decrease by 0.296%; the central region shows the most significant effect, followed by the western region, while the eastern region shows no significant effect. From the view of the influencing mechanism, industrial structure upgrading will promote green total factor productivity and labor misallocation. When each of the two mediating variables increase by 1%, carbon emission intensity will decrease by 0.12% and 0.054%, respectively. Under the influence of industrial structure upgrading, the inhibitory effects of green total factor productivity and labor misallocation on carbon emission intensity have weakened, and the two factors have made it difficult to form a mediating superposition effect within the sample period. The research conclusion provides the policy implications for China to continuously adhere to industrial structure upgrading, pay attention to improving green total factor productivity, and enhance the low-carbon technical level of workers to achieve the “dual carbon” goals. Full article

Achieving carbon reduction is essential in advancing China’s dual carbon goals and promoting a green transformation in the transportation sector. Changes in energy structure and intensity constitute key drivers for sustainable and low-carbon development in this field. To explore the spatial spillover effects of the energy structure and intensity on the green transition of transportation, this study constructs a panel dataset of 30 Chinese provinces from 2007 to 2020. It employs a super-efficiency SBM model, non-parametric kernel density estimation, and a spatial Markov chain to verify and quantify the spatial spillover effects of green total factor productivity (GTFP) in the transportation sector. A dynamic spatial Durbin model is then used for empirical estimation. The main findings are as follows: (1) GTFP in China’s transportation sector exhibits a distinct spatial pattern of “high in the east, low in the west”, with an evident path dependence and structural divergence in its evolution; (2) GTFP displays spatial clustering characteristics, with “high–high” and “low–low” agglomeration patterns, and the spatial Markov chain confirms that the GTFP levels of neighboring regions significantly influence local transitions; (3) the optimization of the energy structure significantly promotes both local and neighboring GTFP in the short term, although the effect weakens over the long term; (4) a reduction in energy intensity also exerts a significant positive effect on GTFP, but with clear regional heterogeneity: the effects are more pronounced in the eastern and central regions, whereas the western and northeastern regions face risks of negative spillovers. Drawing on the empirical findings, several policy recommendations are proposed, including implementing regionally differentiated strategies for energy structure adjustment, enhancing transportation’s energy efficiency, strengthening cross-regional policy coordination, and establishing green development incentive mechanisms, with the aim of supporting the green and low-carbon transformation of the transportation sector both theoretically and practically. Full article

Urban carbon reduction is instrumental in enabling cities to realize their developmental sustainability objectives. However, regional disparities in economic development pose significant challenges to low-carbon transitions. This study utilizes panel data from 282 cities in China spanning 2006–2021, considering the energy saving and emission reduction (ESER) fiscal policy as an external shock. Using a multi-period difference-in-differences approach, we assess how ESER impacts urban carbon emissions. Our findings indicate that ESER significantly reduces municipal carbon emissions by an average of 23.3% compared to non-pilot cities. Mechanism analyses suggest that this effect operates through reduced energy consumption, improved industrial structure, and enhanced green innovation. ESER’s impact exhibits heterogeneity across cities with different levels of economic development, population size, innovation capacity, and industrial composition. Moreover, we find evidence of spatial spillover effects, as ESER benefits extend to neighboring regions. These results confirm the effectiveness of ESER in promoting low-carbon development and offer practical implications for enhancing environmental governance through green fiscal instruments. Full article

Against the backdrop of global commitments to sustainable development and carbon neutrality objectives, the agricultural sector faces compelling imperatives to transition toward environmentally sustainable and resource-efficient production systems. Focusing on the critical role of agricultural inputs, this study investigates how China’s Zero Growth Policy for Fertilizer and Pesticide Use (ZGP), implemented in 2015, influences green transformation in the agricultural inputs sector through a quasi-natural experiment framework. Employing a staggered difference-in-differences (DID) design with comprehensive nationwide firm registration data from 2013 to 2020, we provide novel micro-level evidence on environmental regulation’s market-shaping effects. Our findings demonstrate that the ZGP significantly enhances green market selection, stimulating entry of environmentally certified firms, with effect heterogeneity revealing policy impacts are attenuated in manufacturing-intensive regions due to green entry barriers, while being amplified in major grain-producing areas and more market-oriented regions. Mechanism analyses identify three key transmission channels: intensified regulatory oversight, heightened public environmental awareness, and growing market demand for sustainable inputs. Furthermore, the policy has induced structural transformation within the industry, progressively increasing green enterprises’ market share. These results offer valuable insights for designing targeted environmental governance mechanisms to facilitate sustainable transitions in agricultural input markets. Full article

We investigate whether and how the policy of establishing green finance pilot zones affects corporate environmental performance in China, by employing the DID model and taking 2324 Chinese A-share listed companies as the empirical sample. The main findings show that the green finance policy can significantly improve corporate environmental performance in the green finance pilot zones. The policy effect varies according to enterprise ownership, sector, and degree of environmental supervision. In particular, compared with private enterprises and enterprises subject to key pollution monitoring, the environmental performance of state-owned firms and non-key pollution-monitored firms is more positively affected by the green finance policy. Through a mechanism analysis, we find that corporate innovation and financial constraints can play partially mediating roles in the linkage of green finance policy and corporate environmental performance. Among them, the mediating effects of green innovation and financial constraints are more prominent in private enterprises and key pollution-monitored enterprises. However, although the green finance policy can positively influence bank loans obtained by enterprises, there is no evidence to suggest that bank credit plays a significant mediating role between the green finance policy and corporate environmental performance. Our findings are helpful for understanding the effect of green finance policy on environmental sustainability and could provide some references for policymakers. In particular, we suggest that private and key pollution-monitored enterprises should actively respond to the green finance policy, broaden financing channels, and enhance capability of green innovation, thereby improving their environmental performance. Full article

Non-urbanized areas (NUAs), including residual urban green areas, urban parks, agricultural, natural and semi-natural areas, are a fundamental part of the green infrastructure. They are essential in sustaining life and future development, providing a series of ecosystem services (ESs) vital to human society. However, the rapid expansion of urban areas has led to a significant reduction in green spaces. Land-take, reducing available land resources, impacts ecosystem functionality, making it crucial to preserve high-quality territories and the relative ESs provided. In this context, the aim of this study was to evaluate the reduction in ESs due to the land-take having occurred in the last 20 years in the Province of Monza–Brianza, the Italian province with the highest land-take. To achieve this goal, authors used the official data of land use/cover of the Lombardy Region, with three time thresholds (T0: 1999–2003, T1: 2012–2013, T2: 2021) and applied a methodology for ESs assessment originally developed for the municipal level, adapting it to the provincial scale. The study analyzes trends in land-take and land-use changes and assesses how these changes have led to variations in ES provision. The approach involves calculating multiple indices reflecting different ESs provided by NUAs: provisioning ESs coming from agriculture, regulating ESs provided by natural resources, cultural ESs provided by landscape. Findings reveal that urban expansion has decreased provisioning ESs coming from agriculture, while ESs provided by landscape and natural resources have remained stable or improved, respectively. The natural quality index has improved due to conservation policies, despite the high land-take recorded. Anyway, although regional policies have mitigated some negative effects, the overall reduction in green spaces remains a critical issue. Full article

Against the backdrop of increasingly severe global carbon emissions and China’s commitment to achieving carbon peaking by 2030, accelerating the transition to a low-carbon economy has become an urgent priority. As fundamental microeconomic entities, enterprises play a crucial role in the national governance of carbon emissions. This study uses panel data on Chinese A share listed companies from 2019 to 2023 and employs fixed effects models that control for firm, year, and industry effect to analyze how ESG performance influences carbon emissions and through which mechanism. The findings indicate that improvements in ESG ratings significantly reduce firms’ carbon emissions. This effect operates primarily through the following two channels: (1) promoting green technological innovation, thereby enhancing environmental performance, and (2) increasing the attention of financial analysts, which strengthens external monitoring. The heterogeneity analysis further reveals that the mitigating effect of ESG improvement on carbon emissions is more pronounced in firms with a lower proportion of institutional ownership, while this effect is relatively weaker in firms with higher institutional ownership. This suggests that in contexts where institutional investors hold a smaller share, firms may place greater emphasis on the policy pressure and social responsibility expectations associated with ESG performance, thereby exhibiting stronger commitment to emission reduction actions. In contrast, in firms dominated by institutional investors, the implementation of ESG policy objectives may be partially compromised due to the investors’ short-term profit orientation. This study provides empirical evidence for firms to fulfill their environmental and social responsibilities and offers actionable insights for investors aiming to promote sustainable development. From a policy perspective, the findings also offer theoretical support for developing differentiated regulatory strategies based on variations in ownership and shareholding structures. Full article

Karst regions, characterized by thin soil layers, severe rocky desertification, and fragile vegetation, hold significant scientific value for achieving China’s “dual-carbon” goals. This study focuses on Zhijin County in Guizhou Province, integrating provincial carbon density data with forest resource inventory data. By constructing a model to adjust aboveground forest carbon density (AGC) estimation parameters and utilizing the InVEST model alongside hotspot analysis, the research systematically examines the spatiotemporal heterogeneity of carbon storage from 2000 to 2020. These findings provide actionable strategies for enhancing carbon sequestration efficiency in ecologically fragile regions, supporting China’s “dual-carbon” policy goals. Key findings include: (1) Carbon storage exhibits a “growth-turning point” two-phase pattern, increasing by 0.46% from 2000 to 2015 but decreasing by 3.31% in 2020 due to construction land expansion. (2) There are significant differences in carbon storage among ecological engineering projects, with the highest carbon storage found in the “Grain-for-Green Program” project area and the lowest in the “National Rocky Desertification Control Program” area. (3) Elevation is the primary controlling factor for carbon storage, with rocky desertification showing notable spatial differentiation. This study provides theoretical support for the precise regulation of ecological programs and the development of high-precision carbon storage models in karst regions. Full article

The evaluation of crop production that influences surface and groundwater quality is of growing importance in the context of agricultural sustainability in Europe. The primary aim of this study was to understand the relationship between gross nitrogen surplus in land and nitrate concentrations in surface and groundwater. The analysis was based on datasets collected from 2010 to 2021. Nitrate levels were categorized into three distinct quality classes based on the percentage of monitoring points, reflecting a spectrum from high quality, defined as nitrate levels below 25 mg/dm³, to poor quality, characterized by levels exceeding 50 mg/dm³. Redundancy analysis indicated that Gross Nitrogen Balance, a fertilizer use predictor, partially influences water quality, potentially due to long-term effects. Model selection for Gross Nitrogen Balance based on the AIC_c information criterion identified catch crops (or green cover), high-intensity agriculture, Natura 2000 sites, nitrogen-fixing plants, organic farming, fast-growing tree plantations, and EU27 states as predictors in the group of supported models. The best-fit model revealed differences between EU27 states for Gross Nitrogen Balance. Catch crops and Natura 2000 sites were also significant predictors, the former associated with a positive and the latter with a negative effect on nitrogen balance. In turn, WEI+ increased with nitrogen balance input but decreased with organic farming, indicating that promoting organic practices could help save water resources. Poland emerged as a country with relatively good water quality compared to several European counterparts, such as Denmark, Belgium, Malta, Czechia, Germany, and Lithuania. The implications of this research extend significantly to evaluation of the effects of the Common Agricultural Policy within the European Union. Full article

The aim of the study was to evaluate the digital business transformation across EU countries and its relationship with key Sustainable Development Goals (SDGs): SDG 8 (Decent Work and Economic Growth), SDG 9 (Industry, Innovation, and Infrastructure), and SDG 13 (Climate Action). The Digital Business Transformation Index, developed from eleven digital technology indicators related to e-business and e-commerce, is constructed using Principal Component Analysis to provide a comprehensive framework for assessing digitalization at the enterprise level. The results reveal substantial disparities among member states, with northern and western countries leading, while southern and eastern countries are lagging behind. Regression analyses show a strong positive relationship between digital business transformation and SDG 9 and a negative association with SDG 13. Cluster analysis identifies six groups of countries with varying levels of digital and sustainability performance and emphasizes the need for tailored policy responses. Evidence confirms a digital–green trade-off in many EU countries; however, strategic policy integration can mitigate this challenge. The findings underline the importance of targeted investments in R&D, digital infrastructure, and ICT training, particularly in underperforming regions. Tailored measures are essential to ensure that digital business transformation aligns with inclusive and sustainable development across the EU. Full article