This paper aims to investigate the dynamic nexus between economic complexity index (ECI), technological development (TIN), human capital (HC) and environmental quality in India for transition towards a sustainable environment. This study is based on secondary data covering the period from 1985 to 2018. For empirical analysis, this study applied "Stochastic Impacts by Regression on Population, Affluence, and Technology" (STIRPAT) model framework under the estimation of autoregressive distributed lag (ARDL) model and vector error correction model (VECM) model. The empirical findings of model 1 show ECI, TIN, HC and urbanization (URB) as the helping hands to mitigate the problem of environmental degradation by shrinking the level of EF, whereas for model 2, ECI and TIN failed to influence the CO emissions, but HC served as a stimulant for environmental quality enhancement by declining the level of CO emissions. In contrast, GDP growth and URB strengthen the CO emissions levels. Moreover, in VECM framework, estimated findings reveal that the covariables Granger-cause EF and CO emissions, inferring that causality flows asynchronously from its covariables to EF and CO. Impulse response function (IRF) revealed that the responses in EF and CO emissions ascribed to changes in its covariables. The outcome of the study has some implications for environmental policy strategists to prepare sustainable environment policies and other responsible authorities for sustainable development goal (SDGs), academician and scholars. All the stakeholders involved in environmental economics and policymakers can evaluate this study to design proper policy framework with respect to the environment. There are few studies that explore the dynamic nexus between ECI, TIN and HC with environmental quality in the control environment of URB and GDP growth using the STIRPAT model for India.
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http://dx.doi.org/10.1007/s11356-023-28310-5 | DOI Listing |
Environ Sci Pollut Res Int
January 2025
Department of Water Engineering, Shahid Bahonar University of Kerman, Kerman, Iran.
Groundwater resources constitute one of the primary sources of freshwater in semi-arid and arid climates. Monitoring the groundwater quality is an essential component of environmental management. In this study, a comprehensive comparison was conducted to analyze the performance of nine ensembles and regular machine learning (ML) methods in predicting two water quality parameters including total dissolved solids (TDS) and pH, in an area with semi-arid climate conditions.
View Article and Find Full Text PDFSci Rep
January 2025
Environmental Geochemistry group, Department of Geosciences and Geography, University of Helsinki, Helsinki, Finland.
The two-stage channel (TSC) design with a vegetated man-made floodplain has been recommended as an alternative to conventional re-dredging for managing suspended sediment (SS) and nutrient loads in agricultural streams. However, there are currently uncertainties surrounding the efficiency of TSCs, since mass balances covering the whole annual hydrograph and including different periods of the channel life cycle are lacking. This paper aims to improve understanding of the medium-term morphological development and sedimentary nutrient retention when a dredged, trapezoidal-shaped channel is converted into a TSC, using a mass balance estimate of nutrient and carbon retention from immediately after excavation until the establishment of approximate biogeochemical equilibrium retention.
View Article and Find Full Text PDFEnviron Int
December 2024
School of Applied Psychology, University College Cork, Cork, Ireland. Electronic address:
Several systematic reviews support nature-based interventions (NBIs) as a mechanism of enhancing mental health and wellbeing. However, the available evidence for the effectiveness of these interventions is fragmentary and mixed. The heterogeneity of existing evidence and significant fragmentation of knowledge within the field make it difficult to draw firm conclusions regarding the effectiveness of NBIs.
View Article and Find Full Text PDFEnviron Pollut
January 2025
University of Peradeniya, Peradeniya 20400, Sri Lanka. Electronic address:
The microbial pollution status of river surface water is important to ensure a river-based quality drinking water supply for the public. The present study aimed to investigate bacterial contamination status in the upper Mahaweli River, the main drinking water supplier to the hill country of Sri Lanka. Both the raw surface water and treated water, taken at 14 drinking water treatment plants (DWTPs) along the river segment of 60 km between Kotmale and Victoria reservoirs, were tested for total bacterial counts (TBC), total coliform counts (TCC) and faecal coliform counts (FCC).
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
Guangxi Key Laboratory of Clean Pulp & Papermaking and Pollution Control, Nanning 530004, China; School of Light Industry and Chemical Engineering, Dalian Polytechnic University, Dalian 116034, China. Electronic address:
Smart antibacterial Pickering emulsion can respond to the stimulation of environmental conditions to control the release of antibacterial agents, protecting the quality and safety of food. In this study, FeO was grafted on the cellulose nanocrystal (CNC) via ultrasound-assisted in situ co-precipitation to synthesize the magnetic cellulose nanocomposite particles. When the ratio of FeCl and FeCl was 1.
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