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Haq SMA, Chowdhury MAF, Ahmed KJ, Chowdhury MTA. Environmental quality and its impact on total fertility rate: an econometric analysis from a new perspective. BMC Public Health 2023; 23:2397. [PMID: 38042784 PMCID: PMC10693138 DOI: 10.1186/s12889-023-17305-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Accepted: 11/22/2023] [Indexed: 12/04/2023] Open
Abstract
BACKGROUND Environmental quality significantly affects various aspects of human existence. This study employs ecological footprint as a proxy to assess the impact of environmental quality on the TFR, measured as births per woman. This study investigates the extent to which ecological footprint indicators impact on the TFR in across 31 countries between from 1990 to 2017. METHODS We gathered data on ecological footprints, specifically carbon, agricultural land, grazing land, forest products, and fisheries, from the Global Footprint Network. Information on the TFR, Human Development Index (HDI), and per capita Gross National Income (GNI) were sourced from the World Bank and the United Nations. We applied static panel and quantile regression models to scrutinize the connection between the ecological footprint and TFR, showing how the former influences the latter. RESULTS The outcomes reveal that, in both fixed and random effects models, factors including HDI, carbon, and fishing grounds exert a negative influence on TFR, all at a significance level of p < 0.01. Conversely, cropland and forest product footprints exhibited a favorable impact on the TFR (p < 0.01). Furthermore, GNI per capita positively affected the TFR in both models, with a p-value of 0.01. Quantiles regression analysis demonstrated that HDI and carbon footprint had a negative impact on TFR across all quantiles. This statistical significance is maintained for all quantiles, although it is only significant for the carbon footprint up to the 60th quantile, at p < 0.01. CONCLUSIONS This study establishes a negative correlation between specific ecological footprint indicators, such as carbon and fishing grounds, and TFR. Conversely, there was a positive correlation between the footprint of forest products and the TFR. The primary conclusion drawn is that there is heterogeneity in the results regarding the relationship between ecological footprint and TFR. Moreover, the ecological footprint indicators considered in this study did not uniformly influence TFR. Each ecological footprint indicator exhibited distinct effects on the TFR, displaying either positive or negative correlation coefficients. Future research endeavors may delve into how ecological footprints impact other population dynamics, such as mortality and migration.
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Affiliation(s)
- Shah Md Atiqul Haq
- Department of Sociology, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh.
| | | | - Khandaker Jafor Ahmed
- Institute for the Study of International Migration, Walsh School of Foreign Service, Georgetown University, 37Th and O Streets, NW, WA DC, 20057, USA
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Sheikh MR, Khan SU, Ahmed M, Ahmad R, Abbas A, Ullah I. Spatial spillover impact of determinants on child mortality in Pakistan: evidence from Spatial Durbin Model. BMC Public Health 2023; 23:1612. [PMID: 37612693 PMCID: PMC10464234 DOI: 10.1186/s12889-023-16526-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 08/16/2023] [Indexed: 08/25/2023] Open
Abstract
BACKGROUND Child mortality is a major challenge to public health in Pakistan and other developing countries. Reduction of the child mortality rate would improve public health and enhance human well-being and prosperity. This study recognizes the spatial clusters of child mortality across districts of Pakistan and identifies the direct and spatial spillover effects of determinants on the Child Mortality Rate (CMR). METHOD Data of the multiple indicators cluster survey (MICS) conducted by the United Nations International Children's Emergency Fund (UNICEF) was used to study the CMR. We used spatial univariate autocorrelation to test the spatial dependence between contiguous districts concerning CMR. We also applied the Spatial Durbin Model (SDM) to measure the spatial spillover effects of factors on CMR. RESULTS The study results showed 31% significant spatial association across the districts and identified a cluster of hot spots characterized by the high-high CMR in the districts of Punjab province. The empirical analysis of the SDM confirmed that the direct and spatial spillover effect of the poorest wealth quintile and MPI vulnerability on CMR is positive whereas access to postnatal care to the newly born child and improved drinking water has negatively (directly and indirectly) determined the CMR in Pakistan. CONCLUSION The instant results concluded that spatial dependence and significant spatial spillover effects concerning CMR exist across districts. Prioritization of the hot spot districts characterized by higher CMR can significantly reduce the CMR with improvement in financial statuses of households from the poorest quintile and MPI vulnerability as well as improvement in accessibility to postnatal care services and safe drinking water.
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Affiliation(s)
| | - Sami Ullah Khan
- Department of Economics, Gomal University, Dera Ismail Khan, KP, Pakistan.
| | - Munir Ahmed
- Department of Management Sciences, COMSATS University Islamabad, Vehari Campus, Vehari, Pakistan
| | - Rashid Ahmad
- School of Economics, Bahauddin Zakariya University, Multan, Pakistan
| | - Asad Abbas
- Department of Economics, COMSATS University Islamabad, Vehari Campus, Vehari, Pakistan
| | - Irfan Ullah
- Reading Academy, Nanjing University of Information Science and Technology, Nanjing, 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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Vysochyna A, Vasylieva T, Dluhopolskyi O, Marczuk M, Grytsyshen D, Yunger V, Sulimierska A. Impact of Coronavirus Disease COVID-19 on the Relationship between Healthcare Expenditures and Sustainable Economic Growth. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:3049. [PMID: 36833742 PMCID: PMC9966937 DOI: 10.3390/ijerph20043049] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Revised: 01/31/2023] [Accepted: 02/06/2023] [Indexed: 06/18/2023]
Abstract
The coronavirus disease (COVID-19) pandemic led to a catastrophic burden on the healthcare system and increased expenditures for the supporting medical infrastructure. It also had dramatic socioeconomic consequences. The purpose of this study is to identify the empirical patterns of healthcare expenditures' influence on sustainable economic growth in the pandemic and pre-pandemic periods. Fulfilment of the research task involves the implementation of two empirical blocks: (1) development of a Sustainable Economic Growth Index based on public health, environmental, social, and economic indicators using principal component analysis, ranking, Fishburne approach, and additive convolution; (2) modelling the impact of different kinds of healthcare expenditures (current, capital, general government, private, out-of-pocket) on the index using panel data regression modelling (random-effects GLS regression). Regression results in the pre-pandemic period show that the growth of capital, government, and private healthcare expenditures positively influence sustainable economic growth. In 2020-2021, healthcare expenditures did not statistically significantly influence sustainable economic growth. Consequently, more stable conditions allowed capital healthcare expenditures to boost economic growth, while an excessive healthcare expenditure burden damaged economic stability during the COVID-19 pandemic. In the pre-pandemic period, public and private healthcare expenditures ensured sustainable economic growth; out-of-pocket healthcare expenditures dominantly contributed to the pandemic period.
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Affiliation(s)
- Alina Vysochyna
- Academic and Research Institute of Business, Economics and Management, Sumy State University, 40007 Sumy, Ukraine
| | - Tetiana Vasylieva
- Academic and Research Institute of Business, Economics and Management, Sumy State University, 40007 Sumy, Ukraine
- Department of Applied Social Sciences, Silesian University of Technology, 44-100 Gliwice, Poland
| | - Oleksandr Dluhopolskyi
- Faculty of Economics and Management, West Ukrainian National University, 46020 Ternopil, Ukraine
- Institute of Public Administration and Business, WSEI University, 20-209 Lublin, Poland
| | - Marcin Marczuk
- Institute of Public Administration and Business, WSEI University, 20-209 Lublin, Poland
| | - Dymytrii Grytsyshen
- Faculty of National Security, Law and International Relations, Zhytomyr Polytechnic State University, 10005 Zhytomyr, Ukraine
| | - Vitaliy Yunger
- Faculty of National Security, Law and International Relations, Zhytomyr Polytechnic State University, 10005 Zhytomyr, Ukraine
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Hameed MA, Rahman MM, Khanam R. The health consequences of civil wars: evidence from Afghanistan. BMC Public Health 2023; 23:154. [PMID: 36690962 PMCID: PMC9872361 DOI: 10.1186/s12889-022-14720-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 11/24/2022] [Indexed: 01/24/2023] Open
Abstract
This study examines the effects of long-run civil wars on healthcare, which is an important component of human capital development and their causality nexus in Afghanistan using the MVAR (modified vector autoregressive) approach and the Granger non-causality model covering data period 2002Q3-2020Q4. The primary results support a significant long-run relationship between variables, while the results of the MVAR model indicate the per capita cost of war, per capita GDP, and age dependency ratio have significantly positive impacts on per capita health expenditures, whereas child mortality rate and crude death rate have negative impacts. The results of the Granger non-causality approach demonstrate that there is a statistically significant bidirectional causality nexus between per capita health expenditure, per capita cost of war, per capita GDP, child mortality rate, crude death rate, and age dependency ratio, while it also supports the existence of strong and significant interconnectivity and multidimensionality between per capita cost of war and per capita health expenditure, with a significantly strong feedback response from the control variables. Important policy implications sourced from the key findings are also discussed.
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Affiliation(s)
- Mohammad Ajmal Hameed
- School of Business; Faculty of Business, Education, Law and Arts, University of Southern Queensland, Toowoomba, Australia.
| | - Mohammad Mafizur Rahman
- School of Business; Faculty of Business, Education, Law and Arts, University of Southern Queensland, Toowoomba, Australia
| | - Rasheda Khanam
- School of Business; Faculty of Business, Education, Law and Arts, University of Southern Queensland, Toowoomba, Australia
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Radmehr M, Adebayo TS. Does health expenditure matter for life expectancy in Mediterranean countries? ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:60314-60326. [PMID: 35420335 PMCID: PMC9008298 DOI: 10.1007/s11356-022-19992-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 03/26/2022] [Indexed: 06/14/2023]
Abstract
This research assesses the effect of health expenditure and sanitation on life expectancy in Mediterranean countries. We also consider other drivers of life expectancy, such as CO2 emissions and economic growth. The study covers the period 2000-2018, and the recently developed method of moments quantile regression (MMQR) approach was utilised to assess these interconnections. This method is immune to outliers and creates an asymmetric interrelationship between variables. The outcomes from the MMQR unveiled that economic growth, health expenditure, and sanitation enhanced life expectancy in all quantiles (0.1-0.90). Furthermore, in all quantiles (0.1-0.90), the effect of CO2 emissions on life expectancy was negative. Moreover, as a robustness check, the FMOLS, DOLS, and FE-OLS long-run estimators were applied, and the outcomes validated the MMQR outcomes. Based on the results generated, policymakers in these nations should implement effective environmental and public health measures that will pay off in the long run through improved health as a result of lower emissions of CO2, as well as increased economic expansion and productivity.
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Affiliation(s)
- Mehrshad Radmehr
- Faculty of Economics and Administrative Science, Department of Business Administration, Cyprus International University, Mersin 10, Nicosia, Northern Cyprus Turkey
| | - Tomiwa Sunday Adebayo
- Faculty of Economics and Administrative Science, Department of Business Administration, Cyprus International University, Mersin 10, Nicosia, Northern Cyprus Turkey
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