Kaimosi Friends University College Repository

EFFECT OF AIR POLLUTION AND HEALTH EXPENDITURE ON UNDER-FIVE YEARS MORTALITY RATE IN KENYA

Show simple item record

dc.contributor.author ENGEDE, MOREEN
dc.date.accessioned 2023-01-10T07:57:57Z
dc.date.available 2023-01-10T07:57:57Z
dc.date.issued 2022-12
dc.identifier.citation Andréa, p. p., Gouveia, N., Machado, r. p., Miriam, R. S., Gizelton, p. A., Hillegonda, M. D., & Márcia, F. A. (2009). Traffic-Related air pollution and perinatal mortality: A case–control Study. Environmental Health Perspectives, 117(1), 127-132. Anwar, A., Ayub, M., Khan, N., & Flahault, A. (2019). Nexus between air pollution and neonatal deaths: A case of Asian countries. International Journal of Environmental Research and Public Health, 16, 1-10. Anyanwu, J. C., & Erhijakpor, A. E. (2007). Health expenditures and health outcomes in Africa.Economic Research Working Paper No. 91. Tunis: African Development Bank. ASAP. (2019). Air quality briefing note:Nairobi (Kenya). Nairobi: ASAP East Africa. D’Amato, G., Cecchi, L., D’amato, M., & Liccardi, G. (2010). Urban air pollution and climate change as environmental risk factors of respiratory allergy: An update. J Investig Allergol Clin Immunol, 20(2), 95–102. Dhrifi, A. (2018). Health-care expenditures, economic growth and infant mortality: Evidence from developed and developing countries. CEPAL Review, 125, 70-91. Erhijakor, A. a. (2007). Determinants of Public Health Expenditure in Ghana. Journal of Behavioural Economics, Finance, Entrepreneurship,Accounting and Finance., 35-40. Eva, A., & Hanna, R. (2012). Does the effect of pollution on infant mortality differ between developing and developed countries? Evidence from Mexico City. Cambridge, Massachusetts: Havard Kennedy School. Research Working Paper Series 12-050. Fraenkel, J. &. (2009). Influence of Trainee Teacher Philosophy about Teaching and Learning on Integration of Computer Technology into Future Teaching Practises. American Journal of Applied Psychology, 17-22. Grossman, M. (1972). On the concept of health capital and the demand for Health. Journal of Political Economy, 80(2), 223-232. Gujarati, D. (2003). influential observations in stochastic model of divisia index numbers. Basic Econometrics. Heft-Neal, S., Burney, J., Bendavid, E., & Burke, M. (2018). Robust relationship between air quality and infant mortality in Africa. Nature, 559(7713), 254- 258. Issa, H., & Ouattara, B. (2005). The effect of private and public health expenditure on infant mortality rates: does the level of development matters. United Kingdom: University of Wales Swansea. 64 Kiross, Chonjenta, & Loxton. (2020). The effect of Health Expenditure on Infant Mortality in Sub-saharan Africa. Health Economic Reviews, 1-9. Kiross, G. T., Chojenta, C., Barker, D., & Loxton, D. (2020). The effects of health expenditure on infant mortality in Sub-Saharan Africa: Evidence from panel data analysis. Health Economics Review, 10(5), 1-9. Kotech, S. J., Watkin, W. J., Lowe, J., Grigg, J., & Kotecha, J. (2020). Differential association of air pollution exposure with neonatal and postneonatal mortality in England and Wales: A cohort study. PLOS Medicine, 1-16. Kurt, O. K., Zhang, J., & Pinkerton, K. E. (2016). Pulmonary health effects of air pollution. Current Opinion in Pulmonary Medicine, 22, 138–143. Levin, D. (1988). The opening of vision. Nihilism and the postmodern situation. Manda, D. K., Mugo, M., & Murunga, J. (2020). Health expenditures and health outcomes in Kenya. European Scientific Journal, 16(22), 95-117. Mosley, W. H., & Chen, L. C. (1984). An analytical framework for the study of child survival in developing countries. Population and Development Review, 10, 25-45. Mugo, N. S., Agho, K. E., Zwi, A. B., Damundu, E. Y., & Dibley, M. J. (2018). Determinants of neonatal, infant and under-five mortality in a war-affected country: Analysis of the 2010 household health survey in South Sudan. BMJ Globoal Health, 3, 1-15. Murunga, J., Mogeni, E. G., & Kimolo, D. N. (2019). Public health spending and health outcomes in Kenya. European Scientific Journal, 15(1), 125-138. Muthaka, D. (2016). Health expenditures and child mortality: Evidence from Kenya. 4th AfHEA International Conference, Morocco 26th-29th September2016. Rabat: AfHEA. NairobiCityCounty. (2018). Air quality action plan (2019-2023). Nairobi. Nketiah-Amponsah, E. (2019). The impact of health expenditures on health outcomes in Sub-Saharan Africa. Journal of Developing Societies, 35(1), 134–152. Nuhua, K. M., McDaniel, J. T., Alorbi, G. A., & Ruiz, J. I. (2018). Effect of healthcare spending on the relationship between the Human Development Index and maternal and neonatal mortality. International Health, 10, 33–39. Nyamuranga, C. (2016). The effect of public health expenditure on childhood mortality in Southern Africa (Master's thesis). Yeongi-gun, South Korea: KDI School of Public Policy and Management. Nyamuranga, C., & Shin, J. (2019). Public health expenditure and child mortality in Southern Africa. International Journal of Social Economics, 46(9), 1137- 1154. 65 Owusu, P. A., Sarkodie, S. A., & Pedersen, P. A. (2021). Relationship between mortality and health care expenditure: Sustainable assessment of health care system. PLoS ONE, 16(2), 1-15. RepublicofKenya. (2018). National and county health budget analysis 2018/19. Nairobi: Government Printer. RepublicofKenya. (2021). 2019/20 Counrty Budget Estimates. Nairobi, Kenya: Republic of Kenya. Stephen, F. (2021). simple visualization techniques for quantitative analysis. analytical press. UNIGME. (2018). ‘Levels & trends in child mortality: Report 2018, Estimates developed by the United Nations Inter-Agency Group for child mortality estimation. New York: United Nations Children’s Fund. Wagstaff, A. (1986). The demand for health: Theory and applications. Journal of Epidemiology and Community Health, 40, 1-11. WHO. (2010). World health statistics. Geneva: World Health Organization. WorldBank. (2016). UHC in Africa:A framework for action. Washington, DC: International Bank for Reconstruction and Development. Yang, N., Zhang, Z., Xue, B., Ma, J., Chen, X., & Lu, C. (2018). Economic growth and pollution emission in China:Structural path analysis. Sustainability, 10, 25-69 en_US
dc.identifier.uri http://erepository.kafuco.ac.ke/123456789/151
dc.description.abstract Health is associated with economic and sustainable advancement whereby raising the life expectancy of a newborn by 10% increases the economic progress by 0.35% annually. In developing countries, nearly 29,000 children below five years die per day. Progress with respect to child mortality rates in Kenya has decreased from 96.6 in 1970 to 30.6 per 1,000 live births in 2018, this value remained below the Sustainable Development Goals target of below 25 for every 1000 live births by 2030. The main objective of the study was to establish the effect of air pollution and health expenditure on the under-five years’ mortality rate in Kenya. The specific objectives were to determine the effect of air pollution, public health expenditure and private health expenditure on the under-five years’ mortality rate in Kenya. The study was built on the Grossman health demand model. Time series data for a period of 49 years from 1970 to 2018 was collected from World Bank Development indicators using a data collection sheet. The unit root test indicated that the variables of interest were stationary at a 5 % level of significance. The correlation analysis established a positive association between the under-five years’ mortality rate and air pollution and a negative association between the under-five mortality rate and public and private health expenditure. The Johansen cointegration established a long-run relationship among the variables of the mortality rate of under-five, air pollution, public health expenditure and private health expenditure with coefficients of 12.007, -6.898 and 1.462 respectively such that a unit increase in air pollution by 1metric ton of CO2 increased mortality by approximately 12 deaths per 1000 live births while a percentage increase in public and private health expenditures reduced the under-five years' mortality rate by approximately 7 and 2 deaths per 1000 live births respectively. Vector error correction in the short-run indicated that the previous year’s air pollution does not significantly affect the under-five years’mortality rate in Kenya while previous years' public and private health expenditure significantly affected the under-five years’ mortality rate in Kenya. Granger causality test results showed a unidirectional causality from air pollution and private health expenditure to under five years’ mortality and bidirectional causality between public health expenditure and under five years’ mortality in Kenya. In conclusion, air pollution and health expenditures affected the under five years’ mortality rate in Kenya. Therefore, it was recommended that the government and other stakeholders in Kenya should target activities aimed at cutting down on the air pollution levels emitted into the air and increasing public healthcare expenditure and private health expenditure The research findings formed useful material of knowledge to academia by expanding on existing literature and provided information to policymakers in identifying what needs to be done to reduce the burden of under-five years’ mortality rate in Kenya. en_US
dc.description.sponsorship KAIMOSI FRIENDS UNIVERSITY en_US
dc.language.iso en en_US
dc.title EFFECT OF AIR POLLUTION AND HEALTH EXPENDITURE ON UNDER-FIVE YEARS MORTALITY RATE IN KENYA en_US
dc.type Thesis en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search Erepository


Browse

My Account