ArticleEnvironmental science and pollution research international2020
Role of energy use in the prediction of CO
Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
5 citing papers in PubMed.
- A link between productivity, globalisation and carbon emissions: evidence from emissions by coal, oil and gas.Environmental science and pollution research international · 2022Article
- Multiple forecasting approach: a prediction of CO2 emission from the paddy crop in India.Environmental science and pollution research international · 2022Article
- Determinants of material footprint in BRICS countries: an empirical analysis.Environmental science and pollution research international · 2021Article
- Impact of Economic Structure on the Environmental Kuznets Curve (EKC) hypothesis in India.Journal of economic structures · 2021Article
- Exploring the existence of environmental Kuznets curve in the midst of financial development, openness, and foreign direct investment in New Zealand: insights from ARDL bound test.Environmental science and pollution research international · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The correspondence among energy use, carbon dioxide emissions, and growth is a matter of discussion among policymakers, economists, and researchers. It is not possible to deny that the concept of sustainable development inspires their enquiry into this arena. The primary aspiration of this work is to use machine learning techniques in the prediction of carbon dioxide emissions and growth by taking energy use as the input variable. Our findings suggest that the prediction accuracy of the relation between CO
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.