Micro- and mesoplastic pollution in the surface water and nekton from the eastern Indian ocean: Spatiotemporal variation, correlation and risk assessment.

The pollution of micro- and mesoplastic (MMP) in the Eastern Indian Ocean (EIO) remains poorly understood. The present study revealed that MMP abundance in nekton from EIO in 2022 (mean: 2.30 ± 0.

Integration of IoT in Small-Scale Aquaponics to Enhance Efficiency and Profitability: A Systematic Review.

Aquaponics combines aquaculture and hydroponics to offer a sustainable approach to agriculture, addressing food security issues with minimal environmental harm. However, small-scale practitioners face challenges due to a lack of professional knowledge in water chemistry and system maintenance. Economic hurdles, such as operational costs and energy-intensive components, hinder the viability of small-scale aquaponics.

Gene expression plasticity governing symbiosis during natural coral bleaching.

The increasing global frequency and severity of coral bleaching events, driven by the loss of endosymbiotic algae, pose a significant threat to these vital ecosystems. However, gene expression plasticity offers a potential mechanism for rapid and effective acclimatization to environmental changes. We employed dual transcriptomics to examine the gene expression profile of Seriatopora hystrix, an ecologically important scleractinian coral, across healthy, mildly bleached, and severely bleached colonies collected from the waters of Likupang, North Sulawesi, Indonesia.

What drives the green development behavior of local governments? A perspective of grounded theory.

Although the elements that lead local governments to adopt sustainable development behaviors have been examined, the underlying processes that local governments adopt to accomplish green development behavior (GDB) lack systematic theoretical analysis. This study aims to investigate the determinants influencing local governments' implementation of GDB from the organizational internal and external perspectives. This study employed grounded theory to analyze the data and develop an influencing factor model of local government green development behavior (GDB-LG) after interviewing 53 Chinese local officials.

Do environmental taxes, environmental innovation, and energy resources matter for environmental sustainability: Evidence of five sustainable economies.

This study explores the relationship between environmental taxation, environmental technologies, energy resources, and consumption-based carbon emissions in five leading green economies from 2000 to 2019. The study applied the Cross-Sectional Auto-Regressive Distributed Lag (CS-ARDL) model to derive benchmark results, with Augmented Mean Group (AMG) and Common Correlated Effect Mean Group (CCEMG) techniques being utilized for conducting robustness analyses. The empirical findings suggest that environmental taxation, environmental innovations, and the consumption of renewable energy are associated with a reduction in consumption-based carbon emissions, thereby contributing to enhanced environmental sustainability.

Heterogeneity of Fish Taxonomic and Functional Diversity Evaluated by eDNA and Gillnet along a Mangrove-Seagrass-Coral Reef Continuum.

The effective and reliable monitoring of fish communities is important for the management and protection of marine ecosystems. Environmental DNA (eDNA) metabarcoding is a relatively new method that has been widely used in recent years, while traditional sampling via fish catching (i.e.

Explaining the Green Development Behavior of Local Governments for Sustainable Development: Evidence from China.

Although researchers have examined organizational sustainability practices, a specific interpretation of local government green development practices remains for supplemental analysis. This study conducted an empirical survey of 53 local officials from departments related to green development to understand the key processes and practices of green development behavior of local governments in China. The key findings indicate that the main stakeholders involved in the green development practices of Chinese local governments consist of enterprises and residents.

Do green logistics and green finance matter for achieving the carbon neutrality goal?

Global warming, a persistent issue, needs comprehensive solutions. Shifting to sustainable resources and promoting green initiatives like green logistics, green investments, and environmental policies (such as environmental technology and environmental tax) are potential ways to address this challenge. The current study explores relationships between these factors and transportation emissions in China, with a focus on achieving the 2060 carbon neutrality goal.

Impact of green HRM practices on sustainable performance: mediating role of green innovation, green culture, and green employees' behavior.

The concept of sustainability in the context of human resource management (HRM), or more precisely, green HRM, has significantly transformed in recent years. Human resources are an important and valuable asset of a firm. In this research, green HRM is concentrated on the areas where HRM is held accountable for the company's sustainability initiatives.

Advancing DNA Barcoding to Elucidate Elasmobranch Biodiversity in Malaysian Waters.

The data provided in this article are partial fragments of the Cytochrome c oxidase subunit 1 mitochondrial gene (CO1) sequences of 175 tissues sampled from sharks and batoids collected from Malaysian waters, from June 2015 to June 2022. The barcoding was done randomly for six specimens from each species, so as to authenticate the code. We generated barcodes for 67 different species in 20 families and 11 orders.

Sustainability in Pakistan's textile industry: analyzing barriers and strategies for green supply chain management implementation.

The industries view green supply chain management (GSCM) as a viable means of achieving sustainable operations by reducing environmental impact and enhancing operational performance. Although conventional supply chains still dominate many industries, integrating eco-friendly practices through green supply chain management (GSCM) is crucial. Nonetheless, there are several barriers that hinder the successful adoption of GSCM practices.

Complexity and chaos control of dynamic evolution in energy vehicle production decisions.

This study aims to build a dynamic evolutionary game model for production decisions related to new energy vehicles and traditional fuel vehicles under a dual credit policy. The equilibrium point is calculated, and its stability is evaluated. Meanwhile, the dynamic evolution process of the system is simulated numerically, and the results reveal the complexity of the evolution process.

Influence of research and development, environmental regulation, and consumption of energy on CO emissions in China-novel spatial Durbin model perspective.

Global warming continues to be an intimidating factor for environmental protection, and reducing carbon emissions is an effective way to deal with the phenomenon. However, the energy sector is a significant contributor to greenhouse gas emissions. Therefore, investment in environmental regulations and research and development (R&D), is critical for fostering a low-carbon growth model.

Leader's strategies for designing the promotional path of regional brand competitiveness in the context of economic globalization.

In the era of economic globalization, the competitiveness of products on a global scale is increasingly achieved through effective and sustainable strategies for brand development by the leaders. This paper conducts an empirical study on regional brand competitiveness (BC) influencing factors. A research model was proposed and tested by employing structural equation modeling.

A Dual Functional Artificial SEI Layer Based on a Facile Surface Chemistry for Stable Lithium Metal Anode.

Solid electrolyte interphase (SEI) on a Li anode is critical to the interface stability and cycle life of Li metal batteries. On the one hand, components of SEI with the passivation effect can effectively hinder the interfacial side reactions to promote long-term cycling stability. On the other hand, SEI species that exhibit the active site effect can reduce the Li nucleation barrier and guide Li deposition homogeneously.

Electrolyte Design Enabling Stable Solid Electrolyte Interface for High-Performance Silicon/Carbon Anodes.

Silicon (Si)-based materials have been considered as one of the most promising anodes for the development of high-energy-density lithium-ion batteries (LIBs). However, poor interfacial stability and structural degradation are critical challenges for the successful application of Si-based anodes in LIBs. Herein, the use of a novel fluorinated carbonate (trifluoropropylene carbonate, TFPC) with high reduction potential and rapid film-forming ability as an electrolyte cosolvent is reported, which overcomes the deterioration of the electrode structure that hinders the battery quality.

The dynamic evolution of collaborative networks in sustainable development: Untying impact of environmental policy in China using network-based text analysis approach.

As one of the key subjects of multi-center governance of environmental concerns, public perception is crucial in forming and implementing environmental policy. Based on data science research theory and the original theory of public perception, this study proposes a research framework to analyze environmental policy through network text analysis. The primary contents are bidirectional encoder representation from transformers-convolution neural network (BERT-CNN) sentiment tendency analysis, word frequency characteristic analysis, and semantic network analysis.

High vulnerability and a big conservation gap: Mapping the vulnerability of coastal scleractinian corals in South China.

Scleractinian corals build the most complex and diverse ecosystems in the ocean with various ecosystem services, yet continue to be degraded by natural and anthropogenic stressors. Despite the rapid decline in scleractinian coral habitats in South China, they are among the least concerning in global coral vulnerability maps. This study developed a rapid assessment approach that combines vulnerability components and species distribution models to map coral vulnerability within a large region based on limited data.

Spatial-Temporal Evolution and Influencing Factors of Urban Green and Smart Development Level in China: Evidence from 232 Prefecture-Level Cities.

Green and smart city is an optimal choice for cities to realize their modernization of governance capacity and sustainable development. As such, it is necessary to clarify the evolutionary characteristics and driving mechanism of urban green and smart development level (GSDL) systematically. From the perspective of green total factor productivity (GTFP), this study adopted the SBM-GML (slack-based model & global Malmquist-Luenberger) method to measure the urban GSDL considering smart input-output elements.

The nexus of financial development, technological innovation, institutional quality, and environmental quality: evidence from OECD economies.

The present study investigates the effect of institution quality, technological innovation, and financial development on environment quality using 37 OECD nations from 1998 to 2018. The cross-sectional dependence (CD) and Lagrange multiplier (LM) techniques are used to measure the cross-sectional dependence. The second-generation panel unit root tests and panel cointegration tests are applied to examine the unit-root properties and long-run association existence between variables.

The environmental consequences of foreign aid and key economic indicators: the Sino-Africa perspective.

The study differs substantially from earlier studies, by probing the environmental consequences of foreign aid and selected key economic indicators with a special focus on Sino-Africa. The study focused on China and its top foreign aid recipients in Africa in the last decade. This paper utilizes the Dynamic Augmented Mean Group Estimator (AMG), a robust and recent econometric approach to provide better statistical inferences; crucial for policy formulation and future reforms on foreign aid, trade, energy, pollutions, and economic growth of economies.