ArticleHeliyon2024
Factors affecting carbon dioxide emissions for sustainable development goals - New insights into six asian developed countries.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Digital Marketing Strategies for Sustainable Food and Beverage Brands: A Bibliometric Systematic Literature Review.F1000Research · 2026Pooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The worldwide economic scene faces the dual challenges of rising sea levels and escalating carbon dioxide (CO2) emissions. Environmental contamination impedes sustainable growth, increasing the demand for sustainable energy resources as a fundamental aspect of sustainable economies. The present research uses an analytical model to examine the elements influencing carbon dioxide output in six economically developed Asian nations, intending to assist in realizing the UNSDG- United Nations' Sustainable Development Goals. The manuscript applies the fixed effect model- FEM and the random effects approach- REM method. The research contributes to the science of the environment, climate research, and long-term environmental growth. Data for this investigation were sourced from the World Bank, covering the period from 2000 to 2020, about Hong Kong, Israel, Japan, Korea, Singapore, and China. This paper investigates the nexus between power usage (ECO), fossil fuel use (FFU), sustainable energy adoption (REC), foreign direct investment (FDI), imports, exports, economic development, population, and ecological contamination across six developed Asian countries. The study uses panel data regression analysis to examine how these factors influence carbon dioxide output, aiming to provide insights for long-term environmental growth policies. Key findings highlight the considerable effect of energy consumption patterns and economic activities on pollution levels, emphasizing the need for enhancements in energy conservation, a shift towards sustainable energy sources, and practical rules protecting the environment to mitigate environmental degradation. The empirical findings indicate that various factors, such as power usage, fossil fuel-based energy, sustainable energy usage, foreign direct investment (FDI), import and export activities, economic development, and population size, impact ecological contamination within these six nations. Specifically, FDI, economic development, and green energy influenced environmental degradation negatively. Conversely, factors such as power usage, energy from fossil sources usage, imports, exports, and population size correlate positively with ecological contamination. The research consequently advocates for developing green, circular, and sustainable economic frameworks within these six developed Asian countries in the foreseeable future.
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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.