PRISMA Statement for Reporting Literature Searches in Systematic Reviews of the Bioethanol Sector

Oláh, Judit; Krisán, Eszter; Kiss, Anna L.; Lakner, Zoltán; Popp, József

doi:10.3390/en13092323

Cited by 37 publications

(27 citation statements)

References 71 publications

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“…Oláh et al [97] provided a checklist of items needed to validate the Prisma method's findings. They argue that the selection of the articles should be explained in detail.…”

Section: Discussion On the Taxonomy Of Data Science Advancements In mentioning

confidence: 99%

Data Science in Economics: Comprehensive Review of Advanced Machine Learning and Deep Learning Methods

et al. 2020

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This paper provides a comprehensive state-of-the-art investigation of the recent advances in data science in emerging economic applications. The analysis is performed on the novel data science methods in four individual classes of deep learning models, hybrid deep learning models, hybrid machine learning, and ensemble models. Application domains include a broad and diverse range of economics research from the stock market, marketing, and e-commerce to corporate banking and cryptocurrency. Prisma method, a systematic literature review methodology, is used to ensure the quality of the survey. The findings reveal that the trends follow the advancement of hybrid models, which outperform other learning algorithms. It is further expected that the trends will converge toward the evolution of sophisticated hybrid deep learning models.

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“…Oláh et al [97] provided a checklist of items needed to validate the Prisma method's findings. They argue that the selection of the articles should be explained in detail.…”

Section: Discussion On the Taxonomy Of Data Science Advancements In mentioning

confidence: 99%

Data Science in Economics: Comprehensive Review of Advanced Machine Learning and Deep Learning Methods

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Oláh et al [97] provided a checklist of items needed to validate the findings of the Prisma method. They argue that the articles selection should be explained in detail.…”

Section: Discussion On the Taxonomy Of Data Science Advancements In mentioning

confidence: 99%

Data Science in Economics: Comprehensive Review of Advanced Machine Learning and Deep Learning Methods

Nosratabadi

Mosavi²,

Duan

et al. 2020

SSRN Journal

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“…In its turn, the Granger causality test performed on the panel data shows the presence of a bilateral relationship between economic growth and energy use by biodiesel transport, and also between the economic growth and energy consumption of bioethanol transport [20][21][22]. The effects of international emissions trading (IET) were also assessed (i.e., Takeda et al (2019).…”

Section: Literature Reviewmentioning

confidence: 99%

GHG Emissions Mitigation in the European Union Based on Labor Market Changes

et al. 2021

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The effects of the labor market on environmental issues are an actual problem at the global level, and recommendations are required to achieve equilibrium between labor productivity and environmental protection. Considering the ecological limits of work and the necessity of reducing the working time to mitigate GHG (greenhouse gas) emissions, this paper aims to assess the impact of the labor market on GHG emissions in the EU-28 countries. Using panel data models for 2007–2019, a positive effect of working time for employed persons on GHG emissions was detected. Labor productivity has a positive impact on emissions for most of the developed countries in the EU (old member states), while the effect is negative in the case of most of the new member states, which suggests that more efforts should be made by old member states to correlate labor productivity with a sustainable level of GHG emissions. As a novelty for research in the field, we assessed also the effect of targeted labor utilization on GHG emissions in order to describe the context of a sustainable economy that is an objective for each country in the EU. These results suggest that progress in GHG emissions mitigation might be achieved by reducing the working time for employed persons, which will also improve well-being. These recommendations could be useful also for other developed countries outside the EU that encounter the same difficulties.

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PRISMA Statement for Reporting Literature Searches in Systematic Reviews of the Bioethanol Sector

Cited by 37 publications

References 71 publications

Data Science in Economics: Comprehensive Review of Advanced Machine Learning and Deep Learning Methods

Data Science in Economics: Comprehensive Review of Advanced Machine Learning and Deep Learning Methods

Data Science in Economics: Comprehensive Review of Advanced Machine Learning and Deep Learning Methods

GHG Emissions Mitigation in the European Union Based on Labor Market Changes

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