The concern of environmental degradation, poverty, and income inequality remains a priority in achieving sustainable development goals. Countries are trying to reduce income inequality, alleviate poverty, and reduce environmental degradation which needs special attention. Consequently, this study explores the effect of income inequality, poverty, and energy consumption on carbon dioxide emission in the Belt and Road Initiative countries from 1996 to 2018. By employing the generalized method of moments, the findings show that income inequality, poverty, and energy consumption significantly increase carbon dioxide emission and lead to environmental degradation, while access to electricity significantly raises environmental quality. Economic growth positively affects carbon dioxide emission; however, the environmental Kuznets curve is valid. Income inequality exerts a moderating effect on carbon dioxide emission via per capita economic growth that reduces environmental degradation in the Belt and Road Initiative countries. The results of this study give important policy implications for the Belt and Road Initiative countries.
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http://dx.doi.org/10.1007/s11356-022-24695-x | DOI Listing |
iScience
January 2025
Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Air pollution poses significant health risks and influences migration patterns, making it a global concern with widespread implications. Understanding its effects on where migrants choose to reside can provide insights for addressing environmental and social challenges. Matching micro-survey data of 1.
View Article and Find Full Text PDFData Brief
February 2025
Department of Computer Decision and Sciences, Universidad Nacional de Colombia, Colombia.
This dataset examines the interplay between socioeconomic status and educational outcomes among students at the Universidad Nacional de Colombia. Collected from publicly available data in collaboration with the National Directorate of Information, the dataset includes anonymized records of 3361 students from multiple university campuses during the first semester of 2021. It captures a diverse array of socioeconomic and academic variables, such as family income, residence type, tuition fee, and career choice, providing a unique basis for studying educational access in Colombia.
View Article and Find Full Text PDFAm Econ J Appl Econ
July 2022
School of Medicine, Stanford University, and NBER.
In the context of Sweden, we show that having a doctor in the family raises preventive health investments throughout the life cycle, improves physical health, and prolongs life. Two quasi-experimental research designs-medical school admission lotteries and variation in the timing of medical degrees-support a causal interpretation of these effects. A hypothetical policy that would bring the same health behavior changes and benefits to all Swedes would close 18 percent of the mortality-income gradient.
View Article and Find Full Text PDFWorld Psychiatry
February 2025
Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Aarhus, Denmark.
Mental disorders are associated with elevated mortality rates and reduced life expectancy. However, it is unclear whether these associations differ by socioeconomic position (SEP). The aim of this study was to explore comprehensively the role of individual-level SEP in the associations between specific types of mental disorders and mortality (due to all causes, and to natural or external causes), presenting both relative and absolute measures.
View Article and Find Full Text PDFClin Neurol Neurosurg
January 2025
Department of Neurosurgery, Aga Khan University, Karachi, Sindh, Pakistan. Electronic address:
Objectives: To provide information about implementation, resources, practice patterns and prevalent perceptions regarding neuro-oncology tumor boards (NOTBs) in a lower middle income country.
Methods: A nationwide survey was designed to include licensed neurosurgeons involving data on practice, structure, and perceptions of NOTBs with non-probability sampling, a pre-validated proforma, data analysis using SPSS v27, and geospatial mapping using Quantum GIS.
Results: 139 neurosurgeons were surveyed from 63 neurosurgical centers of a lower middle income country.
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