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Banerjee B, Kundu S, Kanchan R, Mohanta A. Examining the relationship between atmospheric pollutants and meteorological factors in Asansol city, West Bengal, India, using statistical modelling. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024:10.1007/s11356-024-33608-z. [PMID: 38761262 DOI: 10.1007/s11356-024-33608-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Accepted: 05/04/2024] [Indexed: 05/20/2024]
Abstract
Meteorological conditions significantly impact ambient air quality in urban environments. This study focuses on Asansol, known as the "Coal City" and the "Industrial Heart of West Bengal," a notable hotspot for air pollution. Despite its significance, limited research has addressed the influence of meteorological factors on key air pollutants in this urban area. From January 2019 to December 2023, this investigation explores the relationships between meteorological parameters (including atmospheric temperature, relative humidity, rainfall, wind speed) and the concentrations of crucial air pollutants (PM2.5, PM10, NO2, SO2). Temporal trends in air pollutant concentrations are also analysed. The Spearman correlation method is used to establish associations between pollutant concentrations and meteorological variables, while multiple linear regression (MLR) models are employed to assess meteorological factors and potential impact on pollutant concentrations. The analysis reveals a decreasing trend in pollutant concentrations in Asansol. Temperature exhibits negative correlations with all pollutants in all seasons except for a positive correlation during the monsoon. Rainfall consistently displays significant negative correlations with pollutants in all seasons. Relative humidity is negatively correlated with pollutants in all seasons, and wind speed, except during the post-monsoon season, shows negative correlations with all pollutants. Linear models excel in predicting particulate matter concentrations but perform poorly in predicting gaseous contaminants. Accounting for seasonal fluctuations and meteorological parameters, this research enhances the accuracy of air pollution forecasting, contributing to a better understanding of air quality dynamics in Asansol and similar urban areas.
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Affiliation(s)
- Biplab Banerjee
- Department of Geography, Faculty of Science, The MS University Baroda, Vadodara, India, 390002.
| | - Sudipta Kundu
- Department of Geography, Faculty of Science, CSJM University of Kanpur, Kanpur, India
| | - Rolee Kanchan
- Department of Geography, Faculty of Science, The MS University Baroda, Vadodara, India, 390002
| | - Agradeep Mohanta
- Department of Botany, Faculty of Science, The MS University Baroda, Vadodara, 390002, India
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Segbefia E, Dai B, Adotey P, Sampene AK, Amoako T, Lamptey C. Renewable energy, technological innovation, carbon emission, and life expectancy nexus: experience from the NAFTA economies. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:108959-108978. [PMID: 37759053 DOI: 10.1007/s11356-023-29983-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 09/16/2023] [Indexed: 09/29/2023]
Abstract
One essential component that reflects the development of society and the economy of most countries is life expectancy (LEXP). Nevertheless, LEXP can be influenced by varying factors, including socioeconomic and medical factors. Therefore, this analysis's focal point and motivation is to explore how socioeconomic factors such as economic growth, technological innovation, carbon emission, human capital, and renewable energy affect LEXP. The study utilized panel data from 1990 to 2020 from the North American Free Trade Agreement (NAFTA), which consists of the USA, Mexico, and Canada. The initial test confirmed that the research series were stationary and cointegrated. Therefore, the research applied the cross-sectional autoregressive distributed lag (CS-ARDL) model to predict the paper's short- and long-term estimates. The empirical estimated model concluded that human capital, renewable energy, technological innovation, and economic growth boost life expectancy. Contrarily, the outcome espoused that carbon emission has an inverse association with LEXP. The causality test confirmed a unidirectional interaction between human capital, economic growth, technological innovation, and life expectancy. On the other hand, there is a bidirectional connection between carbon emission, renewable energy, and life expectancy. The research suggests that stakeholders and policy-makers strengthen and enforce air quality standards to reduce pollution from industrial emissions and vehicle exhaust and encourage using cleaner technologies to promote LEXP. The research outcome is empirically and theoretically consistent, providing an essential breakthrough for environment-health-energy and economic development policies.
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Affiliation(s)
- Edem Segbefia
- School of Management, Jiangsu University, 301# XuefuRoad, Zhenjiang, 212013, People's Republic of China
| | - Baozhen Dai
- School of Public Health, Southeast University, 87# Dingjiaqiao, Nanjing, Jiangsu Province, 210009, People's Republic of China.
| | - Philip Adotey
- School of Management, Jiangsu University, 301# XuefuRoad, Zhenjiang, 212013, People's Republic of China
| | - Agyemang Kwasi Sampene
- School of Management, Jiangsu University, 301# XuefuRoad, Zhenjiang, 212013, People's Republic of China
| | - Timothy Amoako
- School of Management, Jiangsu University, 301# XuefuRoad, Zhenjiang, 212013, People's Republic of China
| | - Christopher Lamptey
- School of Management, Jiangsu University, 301# XuefuRoad, Zhenjiang, 212013, People's Republic of China
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Udemba EN, Emir F, Philip LD. Environmental implication of energy policies and private and public subsidies on infant mortality rate: a sustainable development study of India. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023:10.1007/s11356-023-27981-4. [PMID: 37271789 DOI: 10.1007/s11356-023-27981-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 05/24/2023] [Indexed: 06/06/2023]
Abstract
India has remarkably achieved some level of decline in infant mortality rate and increase in aged person through increase in life expectancy due to improvement on its health care sector but still remain amongst the countries with the highest rate of infant mortality within the Asian countries. Literature on environmental implication remains scarce, and for this we utilised India's data from 1975 to 2020 to research on this topic. Relevant scientific methods (residual Augmented Least Squares - RALS, Engle and Granger - EG, and its newly augmented version - RALS-EG) are adopted in this study. Further, to estimate the long-run elasticities of the regressors, the symmetric analyses, i.e., dynamic ordinary least squares (DOLS) and Engle and Granger causality test techniques, are employed. Findings according to DOLS revealed that renewable energy sources and social (GDP per capita) and public subsidies (general government final consumption expenditure) have lessening effect on infant mortality in India, whilst the private subsidies (gross capital formation), fossil fuels, and carbon dioxide cause an increase in infant mortality in India. This exposes renewable energy source as a mitigating factor in Indian environmental degradation which as well lessen the infant mortality level in India; hence, policy is suggested to be framed on improving renewable energy and health sectors. The graphical presentation of the abstract is done with the diagram below. The graph shows the interactions amongst the selected variables in this study. The impacts of the explanatory variables on the dependent variable are shown with different colours showing positive (green) and negative (red) impacts.
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Affiliation(s)
- Edmund Ntom Udemba
- Business School, Shanxi Technology and Business College, 99 Wucheng South Road, Xiaodian District, Taiyuan, Shanxi, 030000, China
- Faculty of Economics Administrative and Social Sciences, Istanbul Gelisim University, Istanbul, Turkey
| | - Firat Emir
- Faculty of Economics and Administrative Sciences, Department of Business Administration, Final International University, Kyrenia, North Cyprus, Via Mersin 10, Turkey.
| | - Lucy Davou Philip
- Cyprus West University, North Cyprus Via Mersin 10, Famagusta, Turkey
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Adeleye BN, Akam D, Inuwa N, James HT, Basila D. Does globalization and energy usage influence carbon emissions in South Asia? An empirical revisit of the debate. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:36190-36207. [PMID: 36547846 PMCID: PMC10039819 DOI: 10.1007/s11356-022-24457-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 11/24/2022] [Indexed: 06/02/2023]
Abstract
The 2030 United Nations Sustainable Development Goal (SDG) 13 agenda hinges on attaining a sustainable environment with the need to "take urgent action to combat climate change and its impacts". Hence, this study empirically revisits the debate on the effect of nonrenewable energy and globalization on carbon emissions within the framework of the Kuznets hypothesis using an unbalanced panel data from seven South Asian countries (Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan, and Sri Lanka) covering 1980-2019. The variables of interest are carbon emissions measured in metric tons per capita, energy use measured as kg of oil equivalent per capita, and globalization index. To address five main objectives, we deploy four techniques: panel-corrected standard errors (PCSE), feasible generalized least squares (FGLS), quantile regression (QR), and fully modified ordinary least squares (FMOLS). For the most part, the findings reveal that the (1) inverted U-shaped energy-Kuznets curve holds; (2) U-shaped globalization-Kuznets curve is evident; (3) inverted U-shaped turning points for nonrenewable energy are 496.03 and 640.84, while for globalization are 38.83 and 39.04, respectively; (4) globalization-emission relationship indicates a U-shaped relationship at the median and 75th quantile; and (5) inverted U-shaped energy-Kuznets holds in Pakistan but a U-shaped nexus prevails in Nepal and Sri Lanka; inverted U-shaped globalization-Kuznets holds in Bangladesh and Sri Lanka, but U-shaped nexus is evident in Bhutan, Maldives, and Nepal. Deductively, our results show that South Asia countries (at early stage of development) are faced with the hazardous substance that deteriorates human health. Moreover, the non-linear square term of the nonrenewable energy-emissions relationship is negative, which validates the inverted U-shaped EKC theory. Overall, the effect of energy and globalization on carbon emissions is opposite while the consistency at the 75th quantile result indicates that countries with intense globalization are prone to environmental degradation.
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Affiliation(s)
- Bosede Ngozi Adeleye
- Department of Accountancy, Finance and Economics, University of Lincoln, Lincoln, UK
| | - Darlington Akam
- Department of Economics, University of Lagos, Lagos, Nigeria
| | - Nasiru Inuwa
- Department of Economics, Gombe State University, Gombe, Nigeria
| | | | - Denis Basila
- Department of Accounting, Adamawa State University, Mubi, Nigeria
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Adegoke YO, George G, Mbonigaba J. Sustainable thresholds, health outcomes, health expenditures and education nexus in selected African countries: quadratic and moderation modelling. Global Health 2022; 18:84. [PMID: 36224610 PMCID: PMC9558392 DOI: 10.1186/s12992-022-00876-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 09/20/2022] [Indexed: 11/25/2022] Open
Abstract
Background This study aligns with Sustainable Development Goal 3 which borders on “good health and well-being for people by ensuring healthy lives and promoting well-being for all at all ages”. It contributes to the health literature by evaluating the roles of health expenditures and educational quality on three health outcomes (infant mortality, maternal mortality and life expectancy at birth). Methods The study uses the panel spatial correlation consistent (PSCC) approach on balanced panel data on 25 selected sub-Saharan African countries from 2000 to 2020 to interrogate the nexus. Results The following findings are documented. First, health expenditures reveal significant asymmetric quadratic effects on health outcomes. Second, the interactions between health expenditures and educational quality reduce infant and maternal mortalities while enhancing life expectancy. Third, the threshold points from the interaction effects indicate that enhancing educational quality beyond some critical thresholds of 1.51 and 1.49 can induce a drop in maternal and child mortalities while a point beyond 1.84 exerts an improvement in life expectancy. Conclusions Hence, policy makers should ensure that both health expenditures and educational quality exceed the established thresholds for sustainable health outcomes.
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Affiliation(s)
| | - Gavin George
- Health Economics and HIV and AIDS Research Division (HEARDS), University of KwaZulu-Natal, West-Ville Campus, Durban, South Africa
| | - Josue Mbonigaba
- School of Accounting, Economics and Finance, University of KwaZulu-Natal, Durban, South Africa
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Lin MC, Wu CF. Transportation, Environmental Degradation, and Health Dynamics in the United States and China: Evidence From Bootstrap ARDL With a Fourier Function. Front Public Health 2022; 10:907390. [PMID: 35844846 PMCID: PMC9277069 DOI: 10.3389/fpubh.2022.907390] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 05/31/2022] [Indexed: 12/03/2022] Open
Abstract
Transportation and environmental degradation, with indirect and direct effects, play a significant role in determining the health of a nation's citizens. This study uses bootstrap ARDL with a Fourier function to examine transportation, environmental degradation, and health dynamics in the United States and China. In the long run, the results support the cointegration relationship between transportation, environmental degradation, and health in both countries. The results show the contingency of the causality where a negative impact of transportation on environmental degradation exists in the United States while a positive impact exists in China. The effect of environmental degradation on health is negative in the United States while a positive effect exists in China. Regarding the causal direction between the variables of interest, the implications provide policymakers in developing strategy and policy for sustainable development.
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Affiliation(s)
- Meng-Chen Lin
- School of Business Administration, Hubei University of Economics, Wuhan, China
| | - Cheng-Feng Wu
- School of Business Administration, Hubei University of Economics, Wuhan, China
- School of Business, Wuchang University of Technology, Wuhan, China
- Research Center of Hubei Logistics Development, Hubei University of Economics, Wuhan, China
- *Correspondence: Cheng-Feng Wu
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