Green Technology Research Articles

The influence of green financing on renewable energy progress in India's tourism sector

ABSTRACT This study employs the Autoregressive Distributed Lag (ARDL) approach to assess the impact of green funding on sustainable energy practices in India's tourist sector from 2000 to 2022. Results indicate that green bonds significantly and favourably influence long-term environmental sustainability, with negligible immediate effects. The Consumer Price Index adversely affects sustainability in both short and long terms. To enhance sustainability, recommended policy measures include increased regulatory supervision, transparent market information dissemination, eco-friendly fiscal policies, and the adoption of green building technologies. Supporting sustainable globalization, innovation, adaptation, and eco-tourism regionalism can greatly benefit India's tourism industry. The study offers valuable insights for policymakers aiming to promote environmental sustainability in the sector.

Single-Atom based Metal-Organic Framework Photocatalysts for Solar-Fuel Generation.

The growing demand for fossil fuels and subsequent CO2 emissions prompted a search for alternate sources of energy and a reduction in CO2. Photocatalysis driven by solar light has been found as a potential research area to tackle both these problems. In this direction, SAC@MOF (Single-atom loaded MOFs) photocatalysis is an emerging field and a promising technology. The unique properties of single-atom catalysts (SACs), such as high catalytic activity and selectivity, are leveraged in these systems. Photocatalysis, focusing on the utilization of Metal-Organic Frameworks (MOFs) as platforms for creating single-atom catalysts (SACs) characterized by metal single-atoms (SAs) as their active sites, are noted for their unparalleled atomic efficiency, precisely defined active sites, and superior photocatalytic performance. The synergy between MOFs and SAs in photocatalytic systems is meticulously examined, highlighting how they collectively enhance photocatalytic efficiency. This review examines SAC@MOF development and applications in environmental and energy sectors, focusing on synthesis and stabilization methods for SACs on MOFs and also characterization techniques vital for understanding these catalysts. The potential of SAC@MOF in CO2 Photoreduction and Photocatalytic H2 evolution is highlighted, emphasizing its role in green energy technologies and advances in materials science and Photocatalysis.

Fluorescence‐Enabled Colored Bilayer Subambient Radiative Cooling Coatings

AbstractPassive daytime radiative cooling has emerged as a promising green technology for the thermal management of buildings, vehicles, textiles, and electronics. Typically, both high solar reflectance and high thermal emissivity are prerequisites to achieve sufficient daytime cooling. However, colored radiative cooling materials are facing the dilemma of introducing visible light absorption, leading to challenges in balancing cooling and aesthetic demands. Here, three colored bilayer radiative cooling coatings, each comprised of a white base layer and a colored top layer with fluorescence enhancement are fabricated. Three phosphors (Sr2Si5N8:Eu2+, Y3Al5O12:Ce3+, and (Ba,Sr)SiO4:Eu2+) are employed with respective photoluminescence quantum yields (PLQYs) of 81%, 95.8%, and 91.0% as the colored pigment in the top layer. To mitigate the contradiction between coloration and solar reflectance, SiO2 microspheres are introduced into the top layer and utilize their Mie‐resonance‐based multiple scattering to increase the photoluminescent (PL) properties of the phosphors, which jointly boosts the effective solar reflectance (ESR) of the top layer. As a result, the three bilayer coatings exhibit soft colors while achieving subambient cooling with temperature drops of up to 1.5 °C. This fluorescence‐enhancement strategy may pave the way for preparing highly efficient radiative cooling coatings with tunable colors.

MXene-modified lemon peel-based composite phase change material with excellent photo-thermal conversion efficiency, thermal storage capacity and thermal conductivity for thermal management of electronic components

The preparation of multifunctional composite phase change materials using green technology to achieve an efficient energy storage and conversion remains an issue of concern. In this paper, a lemon peel-based porous carbon (LPC) composite phase change material (CPCM) was prepared by using polyethylene glycol (PEG) 6000 as a phase change medium and MXene nanosheet-modified carbonized lemon peel as a support carrier. MXene nanosheets were bonded to a lemon peel-based porous carbon skeleton to construct an excellent continuous three-dimensional thermally conductive grid system. What makes it noteworthy is that the presence of MXene nanosheets substantially improves the thermal conductivity (0.66 W/mK) and photo-thermal conversion efficiency (θ = 96.4 %) of MXene-modified lemon peel-based porous carbon/polyethylene glycol composite phase change materials (PEG/LPC@M). It is noteworthy that PEG/LPC@M has remarkable thermal stability and still has high enthalpy after 100 cycles, which further proves the recyclability of PEG/LPC@M and PEG/LPC@M embodies great potential in the field of thermal management of electronic components. In conclusion, a novel multifunctional CPCM was prepared by a simple and green process method in this study, which provides a new idea for waste recycling and reuse, and also has a wide range of applications in thermal management of electronic devices.

Analysis of Green HRM, Green Value Strategic Improving CSR and Green Performance in Central Kalimantan HSL Palm Companies

Research in the field of human resources that raises the topic of Green HRM to improve Green Performance. The research base also assesses the role of Strategic Green Value in encouraging corporate CSR and has an impact on increasing green performance. Research was conducted quantitatively on 100 CSR respondents from Sustainable Hutan Sawit Lestari palm oil companies in Central Kalimantan. The results of the analysis with Smart PLS show that Green HRM is significant in increasing Green Performance by (5%, but not significantly increasing the CSR program. The next significant result is Green Value Strategy on Green Performance and the significant effect of increasing CSR by 63%. The results of the analysis of the mediating role are a combination namely the CSR program has a significant positive influence on the relationship between Green Value Strategy and Green Performance and there are insignificant results regarding the mediating role of CSR on the relationship between Green HRM in improving Green Performance. Overall the research model from the Q square value shows 95%, namely the importance of Green HRM, Green Value Strategy, CSR in Green Performance. Implementation of these results can be applied to Sustainable Hutan Sawit Lestari companies for managing HRM and natural resources by providing skills training in maintaining the quality of life of the organization and the company environment in a CSR program to improve the company's reputation. In further research you can consider Green Technology.

Indocyanine green (ICG) fluorescence technology in pediatric robotic surgery

This study aimed to report our experience in indocyanine green (ICG) fluorescence-guided surgery (FGS) in pediatric robotics. The data of 55 patients (35 boys and 20 girls), who underwent robotic surgery using ICG fluorescence in three institutions over the last 7 years, were retrospectively reviewed. The following robotic procedures were included: pyeloplasty (n = 21), complex Lich–Gregoir ureteral reimplantation (n = 8), varicocelectomy (n = 7), adnexal pathology resection (n = 8), partial nephrectomy (n = 4), nephrectomy (n = 4), renal cyst removal (n = 2), and excision of prostatic utricle (n = 1). The ICG was injected intravenously in all indications except for varicocele where intratesticular injection was done, and prostatic utricle or paraureteral diverticulum where trans-catheter injection was done. The ICG dosage was 0.2–0.3 mg/mL/kg. All the procedures were performed using da Vinci Xi platform. Firefly® allowed to switch form bright light to ICG-NIRF view and vice versa. All the procedures were accomplished in robotics without conversions to laparoscopy or open surgery. No episodes of allergy or anaphylaxis to ICG were recorded. An excellent ICG-NIRF view of target organs was obtained in all procedures. Based on our experience, we believe that application of ICG FGS in pediatric robotics enhances the identification of critical anatomical elements and pathological structures, thereby positively impacting both oncological and functional outcomes. This technique is safe, feasible, and versatile. We advocate the consideration of ICG as the standard of care in certain procedures such as partial nephrectomy, varicocele repair, tumor resection, and ovarian torsion. Nonetheless, further investigations are warranted to explore its potential broader applications in pediatric urology.

Cement production and CO2 emission cycles in the USA: evidence from MS-ARDL and MS-VARDL causality methods with century-long data.

The cement industry is among the top three polluters among all industries and the examination of the nonlinear and cointegration dynamics between cement production and CO2 emissions has not been explored. Focusing on this research gap, the study employs a novel Markov-switching autoregressive distributed lag (MS-ARDL) model and its generalization to vector error correction, the MS-VARDL model, for regime-dependent causality testing. The new method allows the determination of nonlinear long-run and short-run relations, regime duration, and cement-induced-CO2 emission cycles in the USA for a historically long dataset covering 1900-2021. Empirical findings point to nonlinearity in all series and nonlinear cointegration between cement production and cement-induced CO2 emissions. The phases of regimes coincide closely with NBER's official economic cycles for the USA. The second regime, characterized by expansions, lasts twice as long relative to the first, the contractionary regime, which contains severe economic recessions, as well as economic crises, the 1929 Great Depression, the 1973 Oil Crisis, the 2009 Great Recession, and the COVID-19 Shutdown and Wars, including WWI and II. In both regimes, the adverse effects of cement production on CO2 emissions cannot be rejected with varying degrees both in the long and the short run. Markov regime-switching vector autoregressive distributed lag (MS-VARDL) causality tests confirm unidirectional causality from cement production to CO2 emissions in both regimes. The traditional Granger causality test produces an over-acceptance of causality in a discussed set of cases. Industry-level policy recommendations include investments to help with the shift to green kiln technologies and energy efficiency. National-level policies on renewable energy and carbon capture are also vital considering the energy consumption of cement production.

Synergistic Effects of MOFs and Noble Metals in Photocatalytic Reactions: Mechanisms and Applications.

Photocatalytic technology can efficiently convert solar energy to chemical energy and this process is considered as one of the green and sustainable technology for practical implementation. In recent years, metal-organic frameworks (MOFs) have attracted widespread attention due to their unique advantages and have been widely applied in the field of photocatalysis. Among them,noblemetals have contributed significant advances to the field as effective catalysts in photocatalytic reactions. Importantly, noblemetals can also form a synergistic catalytic effect with MOFs to further improve the efficiency of photocatalytic reactions.However, how to precisely control the synergistic effect between MOFs and noblemetals to improve the photocatalytic performance of materials still needs to be further studied.In this review, the synergistic effects of MOFs and noblemetal catalysts in photocatalytic reactionsare firstly summarizedin terms of noblemetal nanoparticles, noblemetal monoatoms, noblemetal compounds, and noblemetal complexes, and focus on the mechanisms and advantages of these synergistic effects, so as to provide useful guidance for the further research and application of MOFs and contribute to the development of the field of photocatalysis.

The Impact of U.S. Carbon Tariff on Chinas Exports and Welfare Based on Empirical Analysis and Game Models

This paper will begin by formulating an optimal tariff model between China and the U.S., leading us to an equilibrium point. From this vantage point, we will deduce the consequences of U.S. tariffs on China's exports and the ramifications of U.S. carbon tariffs on China's societal welfare. Next, we will develop an economic model considering the existing China-U.S. tariffs and their trading relationship. This model will help determine the influence of U.S. tariffs on China's export volume and societal welfare. In addition, we will compute the impact of U.S. tariffs on China's societal welfare and export to the U.S., factoring in China's carbon emissions per 100 yuan of GDP, and finally, concern the industrial impact of such carbon tariffs. Third, using two distinct game models, we would probe into the viability and possibility of the U.S. levying a carbon tariff on Chinese exports. The evolutionary game models reflect real-world scenarios, which point out that the U.S. will eventually apply a carbon tariff on China. Next, the dynamic game model considers different parties, Chinas government and firms, and different factors, environmental costs, and green subsidies. The model provides the circumstances in which the U.S. will levy a carbon tariff, whether China should provide a green subsidy, and whether the company should implement green production technology. Finally, we would discuss potential strategies China might adopt to navigate the challenges of the U.S. carbon tariff and examine the broader implications of such a move.

Impact of Low-Carbon City Pilot Policies on Regional Green Total Factor Productivity: A Study

Based on data from 246 prefecture-level cities in China spanning the years 2006 to 2019, this paper employs a multi-temporal double-difference model to empirically examine the effects of low-carbon pilot policies implemented since 2010 on green total factor productivity. Furthermore, the paper conducts a mechanism analysis and heterogeneity analysis to explore the policys impact mechanisms and effects on different regions. The study reveals that low-carbon pilot policies have enhanced Chinas green total factor productivity. Results from the mechanism analysis indicate that these policies increase green total factor productivity by promoting the agglomeration of productive service industries and the innovation of green technologies, with the mechanism test for manufacturing industry agglomeration showing non-significant effects. Heterogeneity analysis results suggest that the impact of low-carbon pilot policies on the improvement of green total factor productivity is significant in Chinas eastern and western regions as well as in non-resource-based cities.

Investigating the integration of ESG factors into financial markets and its influence on sustainable economic growth in emerging Asian economies

It is increasingly obvious the huge improvement caused in loss of habitat and degradation in environment. Various nations are prone to natural disasters if this issue is not addressed. The development of finance has been hailed as significant in alleviating environmental concerns due to its part as a source of cash for the development of green technology. The primary goal of this research is to satisfy an acquaintance vacuum by investigating the relationship amongst economic growth and ESG (Environmental, Social and Governance) concert throughout Asia. This analysis made use of country-level data from 2010 to 2015. Economic growth is positively connected to ESG routine, due to examination upon the pooled normal least squares method, the immovable impact logistic method, these two-phase least squares technique, and the structure’s generalised approach of moments estimator. Additionally, additional tests including financial sector growth subcomponents (financial platforms and financial institutions) reveal that the conclusion is consistent and resilient under multiple model settings. Financial development, when combined, is an essential catalyst for promoting ESG performance in Asia.

Greening the BRICS: How Green Innovation Mitigates Ecological Footprints in Energy-Hungry Economies

The escalating energy consumption seen in the BRICS countries, namely Brazil, Russia, India, China, and South Africa, presents a substantial environmental problem, resulting in the depletion of resources, amplified carbon emissions, and endangering the well-being of ecological systems. The study examines the potential of green innovation to alleviate these adverse effects. By combining green technology with strong institutions and responsible energy consumption, we argue that the BRICS nations can significantly reduce their ecological footprint. This research, encompassing data from 1995 to 2022, employs Driscoll–Kraay and panel quantile regression to analyze the complex interplay of institutional quality, energy consumption, green innovation, and ecological footprints across the BRICS countries. Our findings reveal that green innovation is crucial in mitigating the ecological footprint, particularly when combined with resilient institutional quality and controlled energy use. Conversely, factors like high energy consumption, natural resource rent, and urbanization contribute to an increased ecological footprint. Notably, the study emphasizes the critical role of both institutional quality and renewable energy consumption in effectively reducing the ecological burden within the BRICS nations. These findings suggest that prioritizing investments in green technology and institutional development, even amidst high energy demands, represents a viable strategy for the BRICS nations to achieve sustainable growth and environmental responsibility.

Mesoporous Electrocatalysts with p-n Heterojunctions for Efficient Electroreduction of CO2 and N2 to Urea.

The electrocatalytic synthesis of high-value-added urea by activating N2 and CO2 is a green synthesis technology that has achieved carbon neutrality. However, the chemical adsorption and C-N coupling ability of N2 and CO2 on the surface of the catalyst are generally poor, greatly limiting the improvement of electrocatalytic activity and selectivity in electrocatalytic urea synthesis. Herein, novel hierarchical mesoporous CeO2/Co3O4 heterostructures are fabricated, and at an ultralow applied voltage of -0.2 V, the urea yield rate reaches 5.81 mmol g-1 h-1, with a corresponding Faraday efficiency of 30.05%. The hierarchical mesoporous material effectively reduces the mass transfer resistance of reactants and intermediates, making it easier for them to access active centers. The emerging space-charge regions at the heterointerface generate local electrophilic and nucleophilic regions, facilitating CO2 targeted adsorption in the electrophilic region and activation to produce *CO intermediates and N2 targeted adsorption in the nucleophilic region and activation to generate *N ═ N* intermediates. Then, the electrons in the σ orbitals of *N ═ N* intermediates can be easily accepted by the empty eg orbitals of Co3+ in CeO2/Co3O4, which presents a low-spin state (LS: t2g6eg0). Subsequently, *CO couples with *N ═ N* to produce the key intermediate *NCON*. Interestingly, it was discovered through in situ Raman spectroscopy that the CeO2/Co3O4 catalyst has a reversible spinel structure before and after the electrocatalytic reaction, which is due to the surface reconstruction of the catalyst during the electrocatalytic reaction process, producing amorphous active cobalt oxides, which is beneficial for improving electrocatalytic activity.

Well Selection for CO2 Huff-n-Puff in Unconventional Oil Reservoirs Based on Improved Fuzzy Method

The implementation of CO2 huff-n-puff in unconventional oil reservoirs represents a green development technology that integrates oil recovery and carbon storage, emphasizing both efficiency and environmental protection. A rational well selection method is crucial for the success of CO2 huff-n-puff development. This paper initially identifies eight parameters that influence the effectiveness of CO2 huff-n-puff development and conducts a systematic analysis of the impact of each factor on development effectiveness. A set of factors for well selection decisions is established with seven successful CO2 huff-n-puff cases. Subsequently, the influencing factors are classified into positive, inverse, and moderate indicators. By using an exponential formulation, a method for calculating membership degrees is calculated to accurately represent the nonlinearity of each parameter’s influence on development, resulting in a dimensionless fuzzy matrix. Furthermore, with the oil exchange ratio serving as a pivotal parameter reflecting development effectiveness, recalibration of weighting factors is performed in conjunction with the dimensionless fuzzy matrix. The hierarchical order of weighting factors, from primary to secondary, is as follows: porosity, reservoir temperature, water saturation, formation pressure, reservoir thickness, crude oil density, crude oil viscosity, and permeability. The comprehensive decision factor and oil exchange ratio exhibit a positive correlation, affirming the reliability of the weighting factors. Finally, utilizing parameters of the Ordos Basin as a case study, the comprehensive decision factor is calculated, with a value of 0.617, and the oil exchange ratio is predicted as 0.354 t/t, which falls between the Chattanooga and Eagle Ford reservoirs. This approach, which incorporates exponential membership degrees and recalibrated weighting factors derived from actual cases, breaks the limitations of linear membership calculation methods and human factors in expert scoring methods utilized in existing decision-making methodologies. It furnishes oilfield decision-makers with a swifter and more precise well selection method.

Understanding the Effect of Dispersant Rheology and Binder Decomposition on 3D Printing of a Solid Oxide Fuel Cell

Solid oxide fuel cells (SOFCs) are a green energy technology that offers a cleaner and more efficient alternative to fossil fuels. The efficiency and utility of SOFCs can be enhanced by fabricating miniaturized component structures within the fuel cell footprint. In this research work, the parallel-connected inter-digitized design of micro-single-chamber SOFCs (µ-SC-SOFCs) was fabricated by a direct-write microfabrication technique. To understand and optimize the direct-write process, the cathode electrode slurry was investigated. Initially, the effects of dispersant Triton X-100 on LSCF (La0.6Sr0.2Fe0.8Co0.2O3-δ) slurry rheology was investigated. The effect of binder decomposition on the cathode electrode lines was evaluated, and further, the optimum sintering profile was determined. Results illustrate that the optimum concentration of Triton X-100 for different slurries was around 0.2–0.4% of the LSCF solid loading. A total of 60% of solid loading slurries had high viscosities and attained stability after 300 s. In addition, 40–50% solid loading slurries had relatively lower viscosity and attainted stability after 200 s. Solid loading and binder affected not only the slurry’s viscosity but also its rheology behavior. Based on the findings of this research, a slurry with 50% solid loading, 12% binder, and 0.2% dispersant was determined to be the optimal value for the fabricating of SOFCs using the direct-write method. This research work establishes guidelines for fabricating the micro-single-chamber solid oxide fuel cells by optimizing the direct-write slurry deposition process with high accuracy.

Evaluation and influencing factors of green transformation in three major urban agglomerations in China

Since the 21st century, the world has increasingly focused on the issue of sustainable development, and the green transformation issues have become a new hot topic worldwide. Green and low-carbon transformation has become an international consensus. Urban agglomerations are important connections between urban development and regional coordination, as well as important spatial carriers for economic activities. They are not only the main source of carbon emissions, but also the main battlefield for energy conservation and emission reduction. As an important field for carbon reduction, the green transformation of cities is crucial for achieving the “dual carbon” goals. This article focuses on 48 cities in the three most mature and influential urban agglomerations in China from 2011 to 2019, namely, the Beijing-Tianjin-Hebei urban agglomeration, the Yangtze River Delta urban agglomeration, and the Pearl River Delta urban agglomeration. The three-stage DEA model and Malmquist index model are used to measure the green transformation efficiency of the three urban agglomerations from both dynamic and static perspectives, and a Tobit regression model is constructed to explore the influencing factors of green transformation efficiency in urban agglomerations. Research has found that: 1) From a static perspective, the overall efficiency of green transformation in the three major urban agglomerations is at a high level, but from a temporal perspective, it shows a downward trend. The Pearl River Delta urban agglomeration is known for its green development, with the highest average efficiency of green transformation, followed by the Yangtze River Delta urban agglomeration. The Beijing-Tianjin-Hebei urban agglomeration has the lowest level of green transformation; 2) From a dynamic perspective, technological progress is the main driving factor for improving the efficiency of green transformation in the three major urban agglomerations. Therefore, the government should pay special attention to the progressiveness of technology when formulating relevant policies to promote urban green transformation; 3) From the perspective of spatiotemporal differences, there are significant differences in the spatiotemporal characteristics of green transformation among the three major urban agglomerations, and there are significant differences in green transformation strategies among different urban agglomerations. Eliminating environmental factors and random interference is necessary for accurately measuring the efficiency of green transformation in urban agglomerations; 4) From the perspective of influencing factors, factors such as industrial structure upgrading, green innovation level, and environmental regulation intensity jointly affect the efficiency of green transformation in urban agglomerations. Based on this, we should pay attention to the differences between urban agglomerations and implement policies tailored to local conditions; Strengthen the network system of urban agglomerations and avoid conflicts between cities; Encourage green technology innovation, accelerate industrial structure upgrading, and so on. This article focuses on the issue of green transformation in urban agglomerations, and conducts research from three perspectives: efficiency measurement, influencing factors, and implementation mechanisms. A relatively systematic theoretical framework for green transformation in urban agglomerations is formed, and an evaluation index system for green transformation efficiency in urban agglomerations is constructed and optimized. The composition mechanism of the five dimensional evaluation system for transformation efficiency is analyzed, and the bottleneck and breakthrough direction of the three major urban agglomerations in China in the development process are grasped. It has a good demonstration effect on the green transformation of other urban agglomerations.

Digital carbon neutrality: evidence of carbon emission reduction based on digital inclusive finance.

As a powerful engine for economic reform and curbing carbon emissions, digital inclusive finance provides solid support for achieving the goal of digital carbon neutrality. This study reveals the positive effect of digital inclusive finance on carbon emission reduction and the deeper reasons behind it by digging deeper into the panel data of 213 cities in China. The study adopts advanced empirical analysis methods to rigorously test the association between digital inclusive finance and carbon emissions. The results show that there is a strong positive correlation between the booming development of digital inclusive finance and the significant decline in carbon emissions. This finding remains solid after several rounds of robustness tests, which fully proves the reliability of the research results. Further mechanism analysis reveals the multiple paths of digital financial inclusion on carbon emission reduction. First, it promotes the optimization and upgrading of industrial structure by optimizing the allocation of financial resources, thus reducing the proportion of high-carbon emission industries. Second, digital inclusive finance attracts more foreign capital inflows and introduces advanced low-carbon technologies and management experience, further promoting the development of low-carbon economy. In addition, the study also found that the differences between different cities in terms of geographic location and city size have a significant impact on the carbon emission reduction effect of digital inclusive finance. In particular, the carbon emission reduction effect of digital inclusive finance is particularly significant in western regions, central cities, and first-tier cities. In response to these findings, this paper proposes a series of targeted policy recommendations. First, the financial service system should be further optimized to increase the coverage and penetration of digital inclusive finance, especially in less developed regions and small- and medium-sized cities. Second, regional policy synergies should be strengthened to form a strong synergy to promote the development of a low-carbon economy. In addition, it should guide capital flows to low-carbon industries and encourage enterprises to increase green technology research and development and application, while actively promoting low-carbon consumption concepts and guiding consumers to form green consumption habits. Through the implementation of these measures, it is expected that the potential of digital inclusive finance in the development of a low-carbon economy will be further stimulated, making a greater contribution to the realization of the goals of carbon peaking and carbon neutrality.

Renewable energy and sustainable development goals: Insights from latent dirichlet allocation thematic and bibliometric analysis

AbstractThis research conducts a comprehensive analysis of the intricate relationship between renewable energy and the sustainable development goals (SDGs). Employing diverse methodologies including latent dirichlet allocation (LDA) topic modeling, bibliometrics, citation analysis, and regression modeling, the study explores the evolving landscape of renewable energy research and its implications for SDGs. The analysis identifies a pronounced scholarly interest in renewable energy, reflected in the escalating publication volumes and citations across environmental sciences, green technology, and energy studies. Through meticulous examination, it uncovers interconnected research themes; encompassing policy uncertainty, Environmental Kuznets Curve, and ecological footprint, elucidating the multifaceted impact of renewable energy on the SDGs. Geographical distributions underscore diverse regional focuses, emphasizing the need for nuanced, context‐specific approaches. Regression analysis highlights influential factors like carbon dioxide emissions and gross domestic product (GDP) growth, delineating their pivotal roles in shaping scholarly attention toward renewable energy research. Furthermore, the study delves into the economic, environmental, and social dimensions of renewable energy's influence. It reveals its contributions to employment generation, sustainable production, energy access, and infrastructure development while navigating challenges related to climate change mitigation and biodiversity conservation. This comprehensive investigation offers crucial insights into the complex interplay between renewable energy and the SDGs. It predicts future research directions and highlights the urgency for interdisciplinary collaboration, international cooperation, and policy innovations to harness renewable energy's transformative potential for global sustainable development.

Developing Salt-Rejecting Evaporators for Solar Desalination: A Critical Review.

Solar desalination, a green, low-cost, and sustainable technology, offers a promising way to get clean water from seawater without relying on electricity and complex infrastructures. However, the main challenge faced in solar desalination is salt accumulation, either on the surface of or inside the solar evaporator, which can impair solar-to-vapor efficiency and even lead to the failure of the evaporator itself. While many ideas have been tried to address this ″salt accumulation″, scientists have not had a clear system for understanding what works best for the enhancement of salt-rejecting ability. Therein, for the first time, we classified the state-of-the-art salt-rejecting designs into isolation strategy (isolating the solar evaporator from brine), dilution strategy (diluting the concentrated brine), and crystallization strategy (regulating the crystallization site into a tiny area). Through the specific equations presented, we have identified key parameters for each strategy and highlighted the corresponding improvements in the solar desalination performance. This Review provides a semiquantitative perspective on salt-rejecting designs and critical parameters for enhancing the salt-rejecting ability of dilution-based, isolation-based, and crystallization-based solar evaporators. Ultimately, this knowledge can help us create reliable solar desalination solutions to provide clean water from even the saltiest sources.

The impact of green credit on environmental quality: empirical evidence from China.

As an innovative financial instrument, green credit is a new driving force for environmental governance. To study the impact of green credit on environmental quality, this paper uses the provincial panel data from 2007 to 2020 to construct a panel model for analysis based on the comprehensive environmental quality index. At the same time, it discusses the mechanism and regional heterogeneity of green credit affecting environmental quality. The results show that green credit significantly improves the overall quality of the environment, which has a significant effect on air quality and green quality but has no significant impact on water quality and soil quality. Green credit improves environmental quality by improving green technology innovation and promoting industrial structure upgrading. At the same time, there is obvious heterogeneity in the environmental effect of green credit. Among them, the environmental quality improvement effect of the eastern region and the carbon emission pilot area is more evident than that of the central and western regions and the non-carbon emission pilot area. This paper has important implications for promoting the development of green credit and giving full play to the environmental effects of green credit to achieve sustainable goals.