Current trends in economy, sustainable development, and energy: a circular economy view

Sanguino, Ramón; Barroso, Ascensión; Fernández-Rodríguez, Santiago; Hernández, María Isabel Sánchez

doi:10.1007/s11356-019-07074-x

Cited by 125 publications

(33 citation statements)

References 33 publications

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“…In the last decades it has been used in variety problems like feature learning, classification, regression, and clustering [36,37,38,39,40,41,42,43]. ELM became faster and efficient for big data processing because of the improvements of the parallel computing techniques.…”

Section: Plos Onementioning

confidence: 99%

Advanced machine learning model for better prediction accuracy of soil temperature at different depths

et al. 2020

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Soil temperature has a vital importance in biological, physical and chemical processes of terrestrial ecosystem and its modeling at different depths is very important for land-atmosphere interactions. The study compares four machine learning techniques, extreme learning machine (ELM), artificial neural networks (ANN), classification and regression trees (CART) and group method of data handling (GMDH) in estimating monthly soil temperatures at four different depths. Various combinations of climatic variables are utilized as input to the developed models. The models' outcomes are also compared with multi-linear regression based on Nash-Sutcliffe efficiency, root mean square error, and coefficient of determination statistics. ELM is found to be generally performs better than the other four alternatives in estimating soil temperatures. A decrease in performance of the models is observed by an increase in soil depth. It is found that soil temperatures at three depths (5, 10 and 50 cm) could be mapped utilizing only air temperature data as input while solar radiation and wind speed information are also required for estimating soil temperature at the depth of 100 cm.

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Section: Plos Onementioning

confidence: 99%

Advanced machine learning model for better prediction accuracy of soil temperature at different depths

et al. 2020

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“…Most authors have turn to adopt conventional estimation techniques like the instrumental variable, mean group, pooled mean group, dynamic fixed effects, ordinary least square, generalized least square, and system and difference methods of moment techniques among others. These techniques have been a subject of criticism recently due principally to their inability to account for cross-sectional dependence (Ali et al 2020 ; Arain et al 2019 ; Neal 2015 ; Sarafidis and Wansbeek 2012 ). Since, shock in one country can affect other countries and the nonconsideration of such issues can lead to biased estimators.…”

Section: Introductionmentioning

confidence: 99%

Primal–dual approach to environmental Kuznets curve hypothesis: A demand and supply side analyses of environmental degradation

Dinga

Fonchamnyo

Achuo

2021

Environ Sci Pollut Res

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The unavoidable negative effects of global warming have been a key if not the most important issue occupying policy makers in the world at large today. The much talked about green economy nowadays seeks to achieve sustainable economic growth and development without compromising environmental quality. The relationship between environmental degradation and economic growth is largely explained by the environmental Kuznets curve (EKC) hypothesis. By employing the basic postulation of the baseline EKC framework, this study proposes and tests the existence of a dualistic approach of the EKC hypothesis. Geometry is used to illustrate the proposed dualistic model. Meanwhile, the novel dynamic common correlation effect econometric technique is employed to test the existence of the dualistic EKC within a panel of 109 countries from 1995 to 2016. The outcome from the estimated models shows that, in the global sample, the existence of the dualistic U-shaped and N-shaped EKC hypothesis is validated. When the sample is split into subsamples based on income levels, the U-shaped EKC hypothesis is validated for lower-income and high-income economies meanwhile, the N-shaped dualistic EKC is mostly associated with high-income economies.

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“…These views on CE are signi cantly in uenced by the growing interest in the SD (Sauvé et al 2016). In result of this increased attention re ected in many scienti c studies (Sanguino et al 2020) and governments' documents different concepts and derivative de nitions were founded (Kirchherr et al 2017).…”

Section: Circular Economymentioning

confidence: 99%

The Circular Economy and The Green Jobs Creation

Sulich

Sołoducho-Pelc

2021

Preprint

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The Circular Economy (CE) is a proposal for new, more sustainable and durable economy model. As consequence, of this pro-environmental economic model induces visible changes on the labor market which are Green Jobs (GJ). This paper is focused on the creation of Green Jobs in the CE. The GJ are most visible in the Environmental Goods and Services Sector (EGSS). This study aims to investigate EGSS among 28 European Union countries in years 2009–2019. The adopted method was literature research complemented by the statistical analysis of secondary data from Eurostat in the linear regression method. Then, some Sustainable Development Goals (SDGs) and their measure were used as main indicators reflecting changes on the labor market. Results are presented as a model indicating which of the SDGs can support CE and enhance number of the ‘Green Jobs’. Presented results contribute to the science, because combine factors influencing GJ creation in EGSS, in CE perspective. This study underlines a lack of uniform methods for measuring and forecasting the effects of green jobs creation and indicate future research directions.

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Current trends in economy, sustainable development, and energy: a circular economy view

Cited by 125 publications

References 33 publications

Advanced machine learning model for better prediction accuracy of soil temperature at different depths

Advanced machine learning model for better prediction accuracy of soil temperature at different depths

Primal–dual approach to environmental Kuznets curve hypothesis: A demand and supply side analyses of environmental degradation

The Circular Economy and The Green Jobs Creation

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