Search Results (173)

Understanding how energy use and economic activity shape carbon emissions is pivotal for achieving global climate targets. This study quantifies the dynamic nexus between disaggregated energy consumption, economic growth, and CO₂ emissions in India and China—two economies that together account for more than one-third of global emissions. Using annual data from 1990 to 2021, we implement Long Short-Term Memory (LSTM) neural networks, which outperform traditional linear models in capturing nonlinearities and lagged effects. The dataset is split into training (1990–2013) and testing (2014–2021) intervals to ensure rigorous out-of-sample validation. Results reveal stark national differences. For India, coal, natural gas consumption, and economic growth are the strongest positive drivers of emissions, whereas renewable energy exerts a significant mitigating effect, and nuclear energy is negligible. In China, emissions are dominated by coal and petroleum use and by economic growth, while renewable and nuclear sources show weak, inconsistent impacts. We recommend retrofitting India’s coal- and gas-plants with carbon capture and storage, doubling clean-tech subsidies, and tripling annual solar-plus-storage auctions to displace fossil baseload. For China, priorities include ultra-supercritical upgrades with carbon capture, utilisation, and storage, green-bond-financed solar–wind buildouts, grid-scale storage deployments, and hydrogen-electric freight corridors. These data-driven pathways simultaneously cut flagship emitters, decouple GDP from carbon, provide replicable models for global net-zero research, and advance climate-resilient economic growth worldwide. Full article

The intersection of green finance and artificial intelligence (AI) represents a rapidly emerging and high-impact research domain with the potential to reshape sustainable economic systems. This study presents a comprehensive bibliometric and network analysis aimed at mapping the scientific landscape, identifying research hotspots, and highlighting methodological trends at this nexus. A dataset of 268 peer-reviewed publications (2014–June 2025) was retrieved from the Web of Science Core Collection, filtered by the Business Economics category. Analytical techniques employed include Bibliometrix in R, VOSviewer, and science mapping tools such as thematic mapping, trend topic analysis, co-citation networks, and co-occurrence clustering. Results indicate an annual growth rate of 53.31%, with China leading in both productivity and impact, followed by Vietnam and the United Kingdom. The most prolific affiliations and authors, primarily based in China, underscore a concentrated regional research output. The most relevant journals include Energy Economics and Finance Research Letters. Network visualizations identified 17 clusters, with focused analysis on the top three: (1) Emission, Health, and Environmental Risk, (2) Institutional and Technological Infrastructure, and (3) Green Innovation and Sustainable Urban Development. The methodological landscape is equally diverse, with top techniques including blockchain technology, large language models, convolutional neural networks, sentiment analysis, and structural equation modeling, demonstrating a blend of traditional econometrics and advanced AI. This study not only uncovers intellectual structures and thematic evolution but also identifies underdeveloped areas and proposes future research directions. These include dynamic topic modeling, regional case studies, and ethical frameworks for AI in sustainable finance. The findings provide a strategic foundation for advancing interdisciplinary collaboration and policy innovation in green AI–finance ecosystems. Full article

In sustainable development studies, a key question is how the abundance of natural resources influences long-run economic growth. However, there is no consensus on this issue. Some literature suggests a negative impact, while other studies find no effect at all, and other research indicates a positive impact. This study aims to examine the relationship between natural resource rents, renewable energy, and economic growth in the Gulf Cooperation Council (GCC) countries over the period from 1990 to 2023. The study utilizes the Method of Moments Quantile Regression (MMQR) to provide reliable findings across different quantiles. We also incorporate a series of control variables, including capital, labor force participation, non-renewable energy, and trade openness. The findings indicate that natural resources rent enhances economic growth in GCC countries, supporting the Rostow hypothesis. Although renewable energy has a positive impact on economic growth, it does not have an effect on natural resource rents. Additionally, capital, labor force participation, non-renewable energy, and trade openness play a critical role in raising economic growth in these countries. Based on the empirical results, this study provides several valuable recommendations for policymakers to enhance the management of natural resources in GCC countries. Full article

To achieve regional sustainable development, the low-carbon transformation of agriculture is essential, as it serves both as a significant carbon source and as a potential carbon sink. This study calculated the agricultural carbon emissions in Liaocheng from 2010 to 2022 by analyzing processes including crop cultivation, animal husbandry, and agricultural input. Additionally, a simulation model of the water–energy–food–carbon nexus (WEFC-Nexus) for Liaocheng’s agricultural production process was developed. Using Vensim PLE 10.0.0 software, this study constructed a WEFC-Nexus model encompassing four major subsystems: economic development, agricultural production, agricultural inputs, and water use. The model explored four policy scenarios: business-as-usual scenario (S1), ideal agricultural development (S2), strengthening agricultural investment (S3), and reducing agricultural input costs (S4). It also forecast the trends in carbon emissions and primary sector GDP under these different scenarios from 2023 to 2030. The conclusions were as follows: (1) Total agricultural carbon emissions exhibited a three-phase trajectory, namely, “rapid growth (2010–2014)–sharp decline (2015–2020)–gradual rebound (2021–2022)”, with sectoral contributions ranked as livestock farming (50%) > agricultural inputs (27%) > crop cultivation (23%). (2) The carbon emissions per unit of primary sector GDP (CEAG) for S2, S3, and S4 decreased by 8.86%, 5.79%, and 7.72%, respectively, compared to S1. The relationship between the carbon emissions under the four scenarios is S3 > S1 > S2 > S4. The relationship between the four scenarios in the primary sector GDP is S3 > S2 > S4 > S1. S2 can both control carbon emissions and achieve growth in primary industry output. Policy recommendations emphasize reducing chemical fertilizer use, optimizing livestock management, enhancing agricultural technology efficiency, and adjusting agricultural structures to balance economic development with environmental sustainability. Full article

This study explores the relationship between renewable and non-renewable energy consumption, economic growth (EG), and ecological footprint (EF) in Poland’s top 18 energy-importing countries from 2000 to 2022. While the energy-growth-environment nexus is well-studied, limited attention has been paid to how a single major energy-exporting country influences sustainability in its trade partners, a gap this study aims to fill. A panel dataset was constructed using five key variables: real GDP per capita, Poland’s fuel exports, ecological footprint per capita, renewable energy consumption, and primary energy consumption per capita. Methodologically, the study employs panel cointegration techniques, including FMOL and DOLS estimators for long-run analysis, as well as the VECM and Granger causality tests for the short run. The study’s main contribution lies in its novel focus on Poland’s export influence and the application of advanced econometric models to examine long-run and short-run effects. Results indicate a stable long-run cointegration relationship. Specifically, a 1% increase in renewable energy use is associated with a 0.0219% rise in GDP per capita. Additionally, Poland’s fuel exports and ecological footprint positively impact growth, whereas primary energy use is statistically insignificant. These findings offer practical implications for policymakers in Poland and its trading partners aiming to align energy trade with sustainability goals. Full article

Under the dual constraints of rigid water resource management systems and China’s “dual carbon” national strategy, water resource management authorities face pressing practical demands for the coordinated governance of water conservation and carbon dioxide emission reduction. This study comprehensively compiles nationwide data on water supply/consumption, energy use, water intensity, and CO₂ emissions across Chinese provinces. Employing a non-radial directional distance function (NDDF) model with multiple inputs and outputs, we quantitatively assess provincial water saving and carbon reduction performance during 2000–2021; measure synergistic effects; and systematically examine the spatiotemporal evolution, correlation patterns, and convergence trends of three key indicators: standalone water saving performance, standalone carbon reduction performance, and their synergistic performance—essentially addressing whether “1 + 1 > 2” holds true. Furthermore, we analyze the spatial convergence and clustering characteristics of synergistic effect across regions, delving into the underlying causes of inter-regional disparities in water–carbon synergy. Key findings reveal the following: ① Temporally, standalone water saving and carbon reduction performance generally improved, though the water saving metrics initially declined before stabilizing into sustained growth, ultimately outpacing carbon reduction gains. Synergistic performance consistently surpassed standalone measures, with most regions demonstrating accelerating synergistic enhancement over time. Nationally, water–carbon synergy exhibited early volatile declines followed by steady growth, though the growth rate gradually decelerated. ② Spatially, high-value synergy clusters migrated from the western to eastern regions and the northern to southern zones before stabilizing geographically. The synergy effect demonstrates measurable convergence overall, yet with pronounced regional heterogeneity, manifesting a distinct “high southeast–low northwest” agglomeration pattern. Strategic interventions should prioritize water–carbon nexus domains, leverage spatial convergence trends and clustering intensities, and systematically unlock synergistic potential. Full article

Water management is a long-standing source of dispute between the riparian states of Karnataka and Tamil Nadu. Recently, these disputes have intensified due to impacts from climate change and Bangalore’s rapid growth to megacity status. Despite well-defined national water governance instruments, competition between state actors and limited access to reliable hydrometric data have led to a fragmented regulatory regime, allowing unchecked exploitation of surface and groundwater resources. Meanwhile, subsidised energy for groundwater pumping incentivises the unsustainable irrigation of high-value, water-intensive crops, resulting in overextraction and harm to aquatic ecosystems. Here, we employ a water–energy–food–environment (WEFE) nexus approach to examine the socio-political, economic, and environmental factors driving unsustainable irrigation practices in the Cauvery River Basin (CRB) of Southern India. Our methodology integrates spatially explicit analysis using digitised irrigation census data, theoretical energy modelling, and crop water demand simulations to assess groundwater use patterns and energy consumption for irrigation and their links with governance and economic growth. We analyse spatio-temporal irrigation patterns across the whole basin (about 85,000 km²) and reveal the correlation between energy access and groundwater extraction. Our study highlights four key findings. First, groundwater pumping during the Rabi (short-rain) season consumes 24 times more energy than during the Kharif (long-rain) season, despite irrigating 40% less land. Second, the increasing depth of borewells, driven by falling water table levels, is a major factor in rising energy consumption. Third, energy input is highest in regions dominated by paddy cultivation. Fourth, water pumping in the Cauvery region accounts for about 16% of India’s agricultural energy use, despite covering only 4% of the country’s net irrigated area. Our study reinforces the existing literature advocating for holistic, catchment-wide planning, aligned with all UN Sustainable Development Goals. Full article

Global efforts to reduce climate change have increased, necessitating more comprehensive research. However, empirical evidence of the implication of synergizing foreign direct investment (FDI) and renewable energy consumption (REC) to reduce environmental pollution, specifically with nitrous oxide (N₂O) and methane (CH₄) emissions, is missing in the literature. This research investigates the impact of FDI, REC and their synergy in facilitating technological leapfrogging, analyzing their linear, non-linear and indirect effects on environmental pollution (CO₂, N₂O and CH₄ emissions). The analysis focuses on 81 developing countries, analyzing them at both the general level and by income groups—low-income countries (LICs), middle-income countries (MICs) and high-income countries (HICs), with government effectiveness and economic growth serving as mediating variables. Using Canonical Correlation Regression (CCR), Fully Modified Ordinary Least Squares (FMOLS) and clustered Pooled Least Square (PLS) techniques, the analysis covers data from 2003 to 2023. The results indicate that at the general level, FDI and REC increase N₂O and CH₄ emissions individually. However, their integration mitigates N₂O and CH₄ emissions. Additionally, the relationships remain consistent even when government effectiveness and economic growth are considered mediators. However, economic growth is more pronounced than government effectiveness in reducing environmental pollution. The non-linear analysis also reveals that FDI and REC have a significant U-shaped effect on CO₂ emissions. However, their synergy demonstrates an inverted U-shaped nexus with CO₂ emissions. At the income group levels, the interplay of FDI and REC reduces N₂O and CH₄ emissions in MICs; however, in LICs and HICs, it increases N₂O and CH₄ emissions. Full article

Considering the environmental objectives assumed by the European Commission through Cohesion Policy, the main aim of this study is to check the stability of the relationship between economic growth, GHG emissions, and energy consumption, also known as the 3E relationship, which also allows us to recreate EU policy recommendations. The analysis of EU member states using panel data and time series (1990–2023) showed significant shifts in the relationship between the three variables, especially due to the COVID-19 pandemic. Consequently, many countries successfully decoupled emissions from economic growth. Nevertheless, the persistent carbon-intensive energy use patterns in most EU countries remain a major obstacle, emphasizing the need for increased efforts in cleaner energy technologies and sustainable economic transitions. Full article

As global economic development advances, the constraints of traditional growth paradigms, particularly the escalating challenge of environmental pollution, have become increasingly evident. In this context, the deep integration of the digital and real economies (IDE) has emerged as a promising approach to sustain economic expansion while addressing environmental concerns. Drawing on panel data from 30 Chinese provinces throughout 2008–2022, this study employs the entropy weight method and the coupling coordination degree model to quantify the levels of IDE and pollution. A two-way fixed-effects regression framework is then applied to assess the relationship between IDE and environmental pollution and to uncover potential mediating mechanisms. The principal findings are as follows: (1) The integration level of the digital and real economies has a suppressive effect on environmental pollution, with this effect exhibiting significant regional heterogeneity. (2) The deep IDE facilitates the optimization of the industrial structure (IS) and the reduction in energy consumption through two intermediary channels, leading to a marked improvement in environmental quality. (3) The industrial structure exhibits a threshold effect within the mechanism, with its influence on pollution levels displaying a nonlinear model characteristic of increasing marginal effect. These results enrich the interdisciplinary nexus of environmental studies and the digital economy, offering a scientific basis for policymaking and contributing to China’s dual-carbon objectives and the global sustainability transition. Future research may explore the differentiated impacts of digital convergence under diverse policy regimes and identify strategies to maximize its environmental benefits. Full article

Nigeria is among the countries highly vulnerable to climate change impact. Thus, there has been growing emphasis on the pursuit of decarbonization and net-zero (net-zero transition) strategies. The aim of this work is to review major concepts in research publications associated with climate change mitigation in Nigeria. The literature search was conducted on the Scopus database using relevant keyword operators. Mixed methods were adopted to conduct bibliometric, text mining and content analysis. Bibliometric software (VOSviewer) was used. The research objectives were to identify how net-zero transition research has evolved in Nigeria; their important research themes and trends in Nigeria, and potential directions for future research on achieving them in Nigeria. The results show that the number of publications in the field has been increasing, with 87% of the articles included in the dataset published between 2016 and 2024. Through data clustering, eight clusters of articles were identified, namely (i) the renewable energy, economic growth and emission reduction nexus (ii) energy transition in the Nigerian power system, (iii) policy drivers (socio-technical and economic) for a cleaner energy system, (iv) energy transition governance, (v) hybrid renewable energy systems, (vi) low-carbon transition, (vii) energy efficiency and low-carbon growth and others. By checking through the keywords used by authors, it appears that the most popular keywords are carbon neutrality, hydrogen, biomass, circular economy, and electric vehicles. These keywords further highlight areas of research interests. Some of the potential future directions identified include the need for effective research communication and strong cooperation between academia and relevant CC policy-making bodies to translate scientific research into evidence-based policies and actionable frameworks; tiered subsidies or tax rebates to low-income households to promote CC mitigating technologies and align CC objectives with social equity; and others. Although this work focuses solely on Nigeria, the country shares similar characteristics with many sub-Saharan African countries, and some others in the global South. Accordingly, the findings will be relevant to those areas, with some unique adaptations. Full article

The agricultural sector in the Mediterranean Basin is the largest consumer of water, using 70% of freshwater resources for crop irrigation, which accounts for 85% of the region’s agricultural output. With climate change and population growth expected to reduce water availability, energy management also poses a significant challenge, as 7% of commercial energy is used for freshwater supply. The DIONYSUS project aims to develop practical adaptation solutions for efficient resource use through innovative business models, focusing on four demonstration sites in Egypt, Greece, Morocco, and Italy. It seeks to promote a transition to a Green Economy by engaging stakeholders and utilizing a Cross-Sectoral Nexus adaptation tool. Full article

Reducing global greenhouse gas emissions and implementing sustainable environmental policies require the identification of the economic, political, ecological, and social factors that affect emission levels. To this end, this study examines, for the first time, the impact of wealth inequality, economic growth, and renewable energy consumption on CO₂ emissions in 17 countries with the highest wealth inequality over the 1995–2021 period. This study employs a novel and robust approach, the method of moments quantile regression, to analyze the relationships among these variables. Findings support the environmental Kuznets curve hypothesis by displaying that economic growth initially increases CO₂ emissions but has a dampening effect after a turning point. Moreover, renewable energy consumption reduces CO₂ emissions, where certain as increasing wealth inequality contributes to higher CO₂ emissions. These results underscore the need for policymakers to adopt more egalitarian socioeconomic models, accelerate the transition to clean energy, and maintain robust environmental policies to achieve sustainable development goals. Full article

In the 21st century, the adoption of solar energy has witnessed significant growth, driven by the increased use of ground-mounted photovoltaic (GPV) systems, recognized as solar farms, which have emerged as major players in this sector. Nevertheless, their extensive land utilization may impact local ecosystem services (ESSs), especially those related to water resources. In the context of the water–energy–food–ecosystem (WEFE) nexus, it becomes vital to investigate how solar park construction will impact water-related ESSs. This paper developed a framework that assesses the effect of constructing a solar park on water-related ecosystem services. We focused on solar farm construction and its interactions with various hydrological cycle components; then, we evaluated the implications for water-related ESSs. This approach encompasses a systematic literature review that identifies the hydrological factors most affected by the construction of solar farms. As a result, thirteen ESSs were selected to be included in an evaluation framework, and a definition of a scoring system of each ESS was defined based on the economic value, a predetermined indicator, or land use and land cover (LULC) properties. The allocation of weighting factors for these scores can be determined based on individual experience and stakeholders. This study presents a DSS-integrated framework to assess the impact of solar park constructions on water-related ecosystem services (ESSs) within the WEFE nexus. The framework was applied to a case study in Darstadt, Bavaria, revealing that, among the water-related ESSs in favor of ground-mounted PV systems (GPVs) compared to traditional agricultural practices, there could be soil erosion and nitrate leaching reduction. The DSS tool enables stakeholders to efficiently evaluate trade-offs between energy production and ecosystem impacts. The findings underscore the potential of integrating renewable energy projects with ecosystem management strategies to promote sustainable land-use practices. Full article

Jordan faces significant challenges related to energy security due to its limited natural resources and reliance on energy imports, which meet over 90% of its energy needs. The adoption of renewable energy (RE) technologies is viewed as a crucial step in reducing dependence on fossil fuels, enhancing energy security, and addressing environmental concerns such as CO₂ emissions. Jordan has set ambitious goals to reduce greenhouse gas emissions by 30% by 2030 through RE and energy efficiency initiatives, in line with the global push to combat climate change. Using the Toda-Yamamoto causality test, this study examines the relationship between economic growth, energy consumption, and greenhouse gas emissions in Jordan from 1980 to 2021. The results indicate a bidirectional causality between energy consumption and economic growth, highlighting the energy-dependent nature of Jordan’s economy. Additionally, greenhouse gas emissions were found to cause economic growth, reflecting the role of emissions-intensive industries in the country’s development. The study also shows that economic growth and greenhouse gas emissions jointly influence energy consumption, while energy consumption does not directly drive emissions. These findings emphasize the need for Jordan to adapt and accelerate its energy transition. By investing in renewable energy and improving energy efficiency, Jordan can reduce its contributions to climate change while enhancing energy security and fostering sustainable economic growth. Full article