New insights on immigration, fiscal policy and unemployment rate in EU countries – A quantile regression approach

Moridian, Ali; Radulescu, Magdalena; Kumar, Parveen; Radu, Maria Tatiana; Mohammad, Jaradat

doi:10.1016/j.heliyon.2024.e33519

Heliyon

2024

DOI: 10.1016/j.heliyon.2024.e33519

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New insights on immigration, fiscal policy and unemployment rate in EU countries – A quantile regression approach

Ali Moridian,

Magdalena Radulescu,

Parveen Kumar

et al.

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2024

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Cited by 3 publications

References 38 publications

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Synergy for climate actions in G7 countries: Unraveling the role of environmental policy stringency between technological innovation and CO2 emission interplay with DOLS, FMOLS and MMQR approaches

Fatima,

Xuhua,

Alnafisah

et al. 2024

Energy Reports

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Synergy for climate actions in G7 countries: Unraveling the role of environmental policy stringency between technological innovation and CO2 emission interplay with DOLS, FMOLS and MMQR approaches

Fatima,

Xuhua,

Alnafisah

et al. 2024

Energy Reports

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Pollution haven hypothesis and EKC dynamics: moderating effect of FDI. A study in Shanghai Cooperation Organization countries

Kumar,

Radulescu,

Sharma

et al. 2024

Environ. Res. Commun.

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This paper provides a comprehensive analysis of the nexus between economic growth and environmental degradation, with a specific focus on carbon dioxide (CO2) emissions. It leverages a dataset spanning from 1991 to 2021, encompassing all 12 member nations of the Shanghai Cooperation Organization (SCO). The investigation includes a wide array of statistical examinations, such as stationarity tests, cross-section dependence, and co-integration analysis. The Johansen Fisher Panel co-integration test is employed to reveal long-term correlations between the variables. Furthermore, the paper adopts the Dumitrescu and Hurlin panel causality model, which accommodates variations in causal relationships across different countries. Additionally, the study analyses the asymmetric impact of GDP on carbon emissions across various quantiles using quantile regression. The findings of this research yield valuable insights, highlighting a significant positive correlation between GDP and CO2 emissions, suggesting that higher income levels are associated with greater pollution. However, the paper also illuminates more intricate scenarios, such as those characterized by inverted U-shaped and N-shaped Environmental Kuznets Curve (EKC) patterns, revealed through DOLS estimations. These estimations consider FDI, inflation, and industrialization as control variables. This research delves into the Pollution Haven Hypothesis and examines the interaction effects of FDI with other considered variables. These insights contribute to a deeper understanding of the complex dynamics between economic growth and environmental impact within the SCO member nations.

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A Survey on the Current Situation of Social and Emotional Competence of Teacher Trainees in the Age of Artificial Intelligence and Exploration of Practice

2024

Applied Mathematics and Nonlinear Sciences

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In the context of the artificial intelligence era, paying attention to the development of the social and emotional competence of teacher-training students is of great practical significance for the healthy and comprehensive development of teacher-training students and their growth into high-quality technical and skilled talents. The study uses the correlation coefficient method, multiple linear regression, quantile regression, and other methods to carry out a questionnaire survey and practical exploration of the relevant data of students in a provincial teacher training university. The overall development of social and emotional competence of teacher education students is poor, and the overall social and emotional competence of teacher education students is only 3.91. Among them, teacher-student relationships and peer and parent-child interactions are the key factors affecting the development of social and emotional competence of teacher-education students, and the regression coefficients of these factors are 0.194, 0.161, and 0.146, respectively. The marginal effects of the teacher-student relationship and the social and emotional competence of teacher-education students are in an “inverted L-shape”. The marginal influence of the teacher-student relationship and teacher-student social and emotional competence showed an “inverted L-shaped” trend. Peer and parent-child interactions had the greatest positive impact on the social and emotional competence of teacher trainees around the median, which was roughly characterized by an “inverted U-shape”. The study suggests emphasizing social and emotional competence, promoting comprehensive development of teacher trainees, strengthening parent-child emotional care and peer communication, and seeking more scientific, rational and effective methods to improve students’ social and emotional competence.

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New insights on immigration, fiscal policy and unemployment rate in EU countries – A quantile regression approach

Cited by 3 publications

References 38 publications

Synergy for climate actions in G7 countries: Unraveling the role of environmental policy stringency between technological innovation and CO2 emission interplay with DOLS, FMOLS and MMQR approaches

Synergy for climate actions in G7 countries: Unraveling the role of environmental policy stringency between technological innovation and CO2 emission interplay with DOLS, FMOLS and MMQR approaches

Pollution haven hypothesis and EKC dynamics: moderating effect of FDI. A study in Shanghai Cooperation Organization countries

A Survey on the Current Situation of Social and Emotional Competence of Teacher Trainees in the Age of Artificial Intelligence and Exploration of Practice

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