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<PublisherName>ajhe</PublisherName>
<JournalTitle>African Journal of Health Economics</JournalTitle>
<PISSN>C</PISSN>
<EISSN>o</EISSN>
<Volume-Issue>Volume 10 Issue 1</Volume-Issue>
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<IssueTopic>Multidisciplinary</IssueTopic>
<IssueLanguage>English</IssueLanguage>
<Season>june 2021</Season>
<SpecialIssue>N</SpecialIssue>
<SupplementaryIssue>N</SupplementaryIssue>
<IssueOA>Y</IssueOA>
<PubDate>
<Year>2021</Year>
<Month>11</Month>
<Day>8</Day>
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<ArticleType>Review & Research</ArticleType>
<ArticleTitle>Socio-economic determinants of infant mortality rate in Nigeria: Evidence from autoregressive distributed lag technique</ArticleTitle>
<SubTitle/>
<ArticleLanguage>English</ArticleLanguage>
<ArticleOA>Y</ArticleOA>
<FirstPage>15</FirstPage>
<LastPage>34</LastPage>
<AuthorList>
<Author>
<FirstName>Emomine Odjesa Clement Atewe</FirstName>
<LastName>Ighodaro</LastName>
<AuthorLanguage>English</AuthorLanguage>
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<CorrespondingAuthor>N</CorrespondingAuthor>
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<DOI>doi.org/10.35202/AJHE.2021.1011534</DOI>
<Abstract>Background: The high infant mortality rate (IMR) in Nigeria, in comparison to other African countries and the world at large, has been a major public health concern, while considering the fact that the 3rd Sustainable Development Goal (SDG3) aims to ensure healthy lives and promote well-being for all people of all ages by the year 2030. This study examined the socio-economic determinants of IMR in Nigeria in the short and the long-run periods.
Methods: Data, spanning from year 1990 to 2018, was obtained from the World Bank’s World Development Indicator (WDI) database. We adapted the theoretical framework of Grossman health production function model for this study. The autoregressive distributed lag (ARDL) technique was used for both the short-and long-run analysis.
Findings: This study revealed that in the long-run, the total fertility rate and carbon IV oxide (CO2) significantly increased IMR by a factor of 2.4045 and 0.1194, respectively. On the other hand, Gross Domestic Product (GDP) per capita (as a proxy for wealth status or income level), public health expenditure, and primary gross educational enrolment level for females all significantly decreased the IMR by a factor of 0.2949, 0.0233, and 0.0714, respectively.
Conclusion: Public health expenditure, wealth/income level and the formal education of women are all significant socio-economic factors implicated in the much-needed reduction of Nigeria’s high IMR. Adequate attention should thus be given by the Government to increasing public health expenditure, reducing poverty, and also, improving the formal educational level of females, working towards the attainment of the SDG3.</Abstract>
<AbstractLanguage>English</AbstractLanguage>
<Keywords>ARDL, Infant mortality rate, Socio-economic determinants, Grossman’s health production function, Nigeria</Keywords>
<URLs>
<Abstract>https://ajhe.org.in/ubijournal-v1copy/journals/abstract.php?article_id=13393&title=Socio-economic determinants of infant mortality rate in Nigeria: Evidence from autoregressive distributed lag technique</Abstract>
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<References>
<ReferencesarticleTitle>References</ReferencesarticleTitle>
<ReferencesfirstPage>16</ReferencesfirstPage>
<ReferenceslastPage>19</ReferenceslastPage>
<References>World Bank’s World Development Indicators (WDI). Nigeria [Data file]. 2020. Available from: https://data.worldbank.org/country/NG
Reidpath DD, Allotey P. Infant mortality rate as an indicator of population health. Journal of Epidemiology and; Community Health. 2003 May 1;57(5):344–6. 10.1136/jech.57.5.344
World Population Review. Infant mortality rate by country. 2021. Available from: https://worldpopulationreview.com/country-rankings/infant-mortality-rate-by-country
Kana MA, Doctor HV, Peleteiro B, Lunet N, Barros H. Maternal and child health interventions in Nigeria: a systematic review of published studies from 1990 to 2014. BMC Public Health. 2015 Apr 9;15(1):334. doi:10.1186/s12889-015-1688-3
United Nations. , A/RES/70/1. 2015. Available from: https://sustainabledevelopment.un.org/post2015/transformingourworld
Morakinyo OM, Fagbamigbe AF. Neonatal, infant and under-five mortalities in Nigeria: an examination of trends and drivers (2003-2013). PLOS ONE. 2017 Aug 9;12(8):e0182990. doi: 10.1371/journal.pone.0182990
World Health Organization (WHO). Social determinants of health. 2020. Available from: https://www.who.int/social_determinants/sdh_definition/en/
Osawe OW. Determinant of infant mortality rate: a panel data analysis of African countries.Developing Country Studies. 2014;4(18):111–5. Available from: https://www.researchgate.net/publication/300004564_Determinant_of_Infant_Mortality_Rate_A_Panel_Data_Analysis_of_African_Countries
Abbuy EK. Macroeconomic determinants of infant mortality in WAEMU Countries: evidence from panel data analysis. Applied Economics and Finance. 2018;5(6):52–60.Available from: https://www.researchgate.net/publication/300004564_Determinant_of_Infant_Mortality_Rate_A_Panel_Data_Analysis_of_African_Countries
Edeme RK, Emecheta C, Omeje MO. Public health expenditure and health outcomes in Nigeria. International Journal of Dual Diagnosis. 2017 Mar 1;5(5):96–102. doi:10.11648/j.ajbls.20170505.13
Raji, RO. Infant and under five mortality rate in Nigeria: an impact analysis of macroeconomic conditions. Risk and Financial Management.2020 Mar 26; 2(1): 1-8. Available from: https://doi.org/10.30560/rfm.v2n1p1
Bashir YM. An assessment of the impact of Government expenditure on infrastructures: evidence from Nigerian health sector performance. European Journal of Business and Management. 2016;8(14):8–14.Available from: https://iiste.org/Journals/index.php/EJBM/article/view/30542
Yaqub JO, Ojapinwa TV, Yussuff RO. Public health expenditure and health outcome in Nigeria: the impact of governance. European Scientific Journal. 2012 June; 8 (13): 189–201. Available from: https://eujournal.org/index.php/esj/article/view/206
Ude DK, Ekesiobi CS. Effect of per capita health spending on child mortality in Nigeria. International Journal of Innovative Research and; Development. 2014 September; 3(9):1-4. Available from: https://www.researchgate.net/publication/335208282_Effect_of_Per_Capita_Health_Spending_on_Child_Mortality_in_Nigeria
David J. Infant mortality and public health expenditure in Nigeria: empirical explanation of the nexus. Timisoara Journal of Economics and Business. 2018 Dec 1;11(2):149-64. doi: 10.2478/tjeb-2018-0010
Adeyemi SL, Raheem UA, Olorunfemi FB. Under-five mortality and the environment of health in the third world: a Nigerian example. Journal of Human Ecology. 2008 Oct;24(2):117–24. doi:10.1080/09709274.2008.11906107
Mohajan HK. Greenhouse gas emissions increase global warming. . 2011;(2), 21–34. Available from: https://www.researchgate.net/publication/235225606_Greenhouse_Gas_Emissions_Increase_Global_Warming
D’Amato G, Cecchi L, D’Amato M, Annesi-Maesano I. Climate change and respiratory diseases. European Respiratory Review. 2014 Jun 1;23(132):161–9. doi:10.1183/09059180.00001714
Cella W, Baia-da-Silva DC, Melo GC de, Tadei WP, Sampaio V de S, Pimenta P, et al. Do climate changes alter the distribution and transmission of malaria? Evidence assessment and recommendations for future studies. Revista da Sociedade Brasileira de Medicina Tropical. 2019;52:e20190308. doi: 10.1590/0037-8682-0308-2019
Caldwell JC. Education as a factor in mortality decline: an examination of Nigerian data. Population Studies. 1979;33(3):395–413. doi:10.2307/2173888
World Health Organization (WHO).Health benefits of family planning. 1995:1-39.Available from: http://whqlibdoc.who.int/hq/1995/WHO_FHE_FPP_95.11.pdf
Grossman M. On the concept of health capital and the demand for health. Journal of Political Economy. 1972;80(2):223–55. Available from: https://www.jstor.org/stable/1830580
Sede IP, Izilien EI. Maternal mortality rate and economic growth in Nigeria: an estimation of Grossman death model. Asian-African Journal of Economics and Econometrics. 2014;14(1):135-47. Available from: https://www.econbiz.de/Record/maternal-mortality-rate-and-economic-growth-in-nigeria-an-estimation-of-grossmandeath-model-peter-sede-igbaudumhe/10010478680
Indexmundi. Nigeria-School enrolment [Data file]. 2020. Available from: https://www.indexmundi.com/facts/nigeria/school-enrollment
Imoughele LE, Ismaila M. Determinants of public healthcare expenditure in Nigeria: an error correction mechanism approach. International Journal of Business and Social Science. 2013 Oct;4(13):220-33.Available from: https://ijbssnet.com/journals/Vol_4_No_13_October_2013/24.pdf
Knoema. Nigeria-CO2 emissions [Data file]. 2020. Available from: https://knoema.com/atlas/Nigeria/CO2-emissions
Sede PI, Ohemeng W. Socio-economic determinants of life expectancy in Nigeria (1980 – 2011). Health Econ Rev. 2015 Feb 7;5(1):2. doi: 10.1186/s13561-014-0037-z
Dritsaki C, Stamatiou P. Investigating the Impact of Market Openness on Economic Growth for Poland: an Autoregressive Distributed Lag Bounds Testing approach to cointegration. International Journal of Economics and Financial Issues. 2019;9(6):123. doi:10.32479/ijefi.8327
Aregbeshola BS, Khan SM. Out-of-pocket payments, catastrophic health expenditure and poverty among households in Nigeria 2010. Int J Health Policy Manag. 2018 Mar 10;7(9):798–806. Retrieved from: https://doi.org/10.15171/ijhpm.2018.19
Aregbeshola BS, Khan SM. Determinants of catastrophic health expenditure in Nigeria. Eur J Health Econ. 2018 May;19(4):521–32. doi:10.1007/s10198-017-0899-1
Sherman EJ, Pfister DG, Ruchlin HS, Rubin DM, Radzyner MH, Kelleher GH, et al. The collection of indirect and nonmedical direct costs (COIN) form. Cancer. 2001;91(4):841–53.
Johnson A, Goss A, Beckerman J, Castro A. Hidden costs: the direct and indirect impact of user fees on access to malaria treatment and primary care in Mali. Social Science and; Medicine. 2012 Nov 1;75(10):1786–92. doi:10.1016/j.socscimed.2012.07.015
World Health Organization (WHO). Designing health financing systems to reduce catastrophic health expenditure. Technical Brief for policy makers, No.2. 2005. Available from: https://www.who.int/health_financing/pb_2.pdf
Organization for Economic Cooperation and Development/World Health Organization. DAC guidelines and reference series – poverty and health. Paris: Organization for Economic Cooperation and Development/World Health Organization. 2003. Available from: https://www.who.int/tobacco/research/economics/publications/oecd_dac_pov_health.pdf
Kishor S, Parasuraman S. Motherand;#39;s employment and infant and child mortality in India. National family health survey subject reports/International Institute for Population Sciences [ua].1998 April. Available from: https://scholarspace.manoa.hawaii.edu/bitstream/10125/3474/1/NFHSsubjrpt008.pd
Acharya DR, Bell JS, Simkhada P, van Teijlingen ER, Regmi PR. Women’s autonomy in household decision-making: a demographic study in Nepal. Reproductive Health. 2010 Jul 15;7(1):15. doi:10.1186/1742-4755-7-15
Makama GA. Patriarchy and gender inequality in Nigeria: the way forward. European Scientific Journal, ESJ. 2013 Jun 30;9(17):115–44. Available from: https://eujournal.org/index.php/esj/article/view/1161
Federal Republic of Nigeria. Abuja declaration on HIV/AIDS, tuberculosis and other infectious diseases. https://au.int/en/file/32894-file-2001-abuja-declarationpdf
Abubakar M, Basiru S, Oluyemi J, Abdulateef R, Atolagbe E, Adejoke J, et al. Medical tourism in Nigeria: challenges and remedies to health care system development. International Journal of Development and Management Review [Internet]. 2018 May 30 [cited 2020 May 16];13(1). Available from: https://www.ajol.info/index.php/ijdmr/article/view/172290
Sulaiman C, Abdul-Rahim AS. Population growth and CO2 emission in Nigeria: a Recursive ARDL approach. SAGE Open. 2018 Apr 1;8(2):2158244018765916. doi: 10.1177/2158244018765916</References>
</References>
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