Magambo, Isaiah and Dikgang, Johane and Gelo, Dambala and Tregenna, Fiona (2021): Gold-Mining Pollution Exposure, Health Effects and Private Healthcare Expenditure in Tanzania.
Preview |
PDF
MPRA_paper_108800.pdf Download (747kB) | Preview |
Abstract
This article examines an important externality that polluting industries may impose on peoples’ health in their proximities. To ascertain the actual health outcomes and expenditure associated with mining pollution, this study (on a gold mine in Tanzania) used the Coarsened Exact Matching (CEM) approach, which matches the social, economic, and environmental risk-factor characteristics of households in treated and control groups. It also used a linear and logistics regression using CEM Weight to obtain robust treatment effects. The results show that health outcomes (proxied by stunting rate) were significant within 10km of the nearby mine. The probability of a child in the treated group being stunted was 0.226 greater than for a child with similar social, economic, and environmental risk factors in the control group. Moreover, the OLS regression suggested similarly that the children in the treated group had height-for-age Z-scores (HAZ06) of 0.827 less than for similar children in the control group. Further regression of HAZ06 on the distance from the mine provided robust evidence that health scores (HAZ06) among children increased statistically by 0.0212 for every kilometre they were further away from the mining site. These findings suggest that the less a person is exposed to mining pollutions (i.e., the further from the mine), the less the health impact. Furthermore, the results showed that households within 10 km of the mine are spending 55 202 Tanzanian shillings (TZS) more on health per person per year than those further than 10km away. The regression of per-capita health expenditure on distance provides more evidence that healthcare expenditure per capita decreases by TZS 712 for every 1km increase in the average distance from the residence to the mining site. Drawing intuition from the hedonic theory, we further interpreted the results in terms of ‘willingness to accept' (WTA); it was found that on average, the households staying within 10km of the mine (i.e., the victims of mining pollution) are willing to accept (WTA) minimum per-capita compensation for health expenditure of TZS 55 202 per annum (equivalent to USD 24.75). The minimum WTA increases closer to the mine site and decreases further away. These findings have an important implication for environmental and industrial policies. They suggest environmental regulations should be tightened, to ensure that the pollution emitted by mines is within acceptable limits for health as laid down by the WHO. Moreover, there is a need for a thorough review of industrial policies (especially in terms of local content) to ensure that compensation policies and local multiplier effects are adequate to offset the negative health and income effects.
Item Type: | MPRA Paper |
---|---|
Original Title: | Gold-Mining Pollution Exposure, Health Effects and Private Healthcare Expenditure in Tanzania |
Language: | English |
Keywords: | Mining pollution, health effects, willingness to accept |
Subjects: | I - Health, Education, and Welfare > I1 - Health > I15 - Health and Economic Development Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q3 - Nonrenewable Resources and Conservation > Q32 - Exhaustible Resources and Economic Development Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics > Q51 - Valuation of Environmental Effects Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics > Q53 - Air Pollution ; Water Pollution ; Noise ; Hazardous Waste ; Solid Waste ; Recycling |
Item ID: | 108800 |
Depositing User: | Mr Isaiah Magambo |
Date Deposited: | 19 Jul 2021 01:43 |
Last Modified: | 19 Jul 2021 01:43 |
References: | Abadie, A., & Imbens, G. W. (2006). Large sample properties of matching estimators for average treatment effects. Econometrica, 74(1), 235-267. Abadie, A., & Imbens, G. W. (2008). On the failure of the bootstrap for matching estimators. Econometrica, 76(6), 1537-1557. Abadie, A., & Imbens, G. W. (2011). Bias-corrected matching estimators for average treatment effects. Journal of Business & Economic Statistics, 29(1), 1-11. Abadie, A., & Imbens, G. W. (2012). A martingale representation for matching estimators. Journal of the American Statistical Association, 107(498), 833-843. Abadie, A., Angrist, J., & Imbens, G. (2002). Instrumental variables estimate of the effect of subsidised training on the quantiles of trainee earnings. Econometrica, 70(1), 91-117. Ahoulé, D. G., Lalanne, F., Mendret, J., Brosillon, S., & Maïga, A. H. (2015). Arsenic in African waters: a review. Water, Air, & Soil Pollution, 226(9), 1-13. Ako, T. A., Onoduku, U. S., Oke, S. A., Adamu, I. A., Ali, S. E., Mamodu, A., & Ibrahim, A. T. (2014). Environmental impact of artisanal gold mining in Luku, Minna, Niger state, North Central Nigeria. Journal of Geosciences and Geomatics, 2(1), 28-37. Akombi, B. J., Agho, K. E., Hall, J. J., Merom, D., Astell-Burt, T., & Renzaho, A. M. (2017). Stunting and severe stunting among children under-5 years in Nigeria: A multilevel analysis. BMC Pediatrics, 17(1), 1-16. Akpalu, W., & Normanyo, A. K. (2017). Gold mining pollution and the cost of private healthcare: the case of Ghana. Ecological Economics, 142, 104-112. Akpalu, W., & Parks, P. J. (2007). Natural resource use conflict: gold mining in tropical rainforest in Ghana. Environment and Development Economics, 55-72. Almås, Å. R., & Manoko, M. L. (2012). Trace element concentrations in soil, sediments, and waters in the vicinity of Geita Gold Mines and North Mara Gold Mines in Northwest Tanzania. Soil and Sediment Contamination: An International Journal, 21(2), 135-159. Altuğ, H., Fuks, K. B., Hüls, A., Mayer, A. K., Tham, R., Krutmann, J., & Schikowski, T. (2020). Air pollution is associated with depressive symptoms in elderly women with cognitive impairment. Environment International, 136, 105448. Angrist, J. D., & Pischke, J. S. (2014). Mastering Metrics: The Path from Cause to Effect. Princeton University Press. Ansa-Asare, O. D., Darko, H., & Obiri, S. (2015). Assessment of carcinogenic risk and non-carcinogenic health hazard from exposure to toxicants in water from the Southwestern coastal river system in Ghana. Human and Ecological Risk Assessment: An International Journal, 21(2), 445-465. Aragón, F. M., & Rud, J. P. (2013). Natural resources and local communities: evidence from a Peruvian gold mine. American Economic Journal: Economic Policy, 5(2), 1-25. Aragón, F. M., & Rud, J. P. (2016). Polluting industries and agricultural productivity: Evidence from mining in Ghana. The Economic Journal, 126(597), 1980-2011. Barnes, B., Mathee, A., Thomas, E., & Bruce, N. (2009). Household energy, indoor air pollution and child respiratory health in South Africa. Journal of Energy in Southern Africa, 20(1), 4-13. Bashash, M., Marchand, M., Hu, H., Till, C., Martinez-Mier, E. A., Sanchez, B. N., ... & Mercado-García, A. (2018). Prenatal fluoride exposure and attention deficit hyperactivity disorder (ADHD) symptoms in children at 6- 12 years of age in Mexico City. Environment international, 121, 658-666. Basu, N., Abare, M., Buchanan, S., Cryderman, D., Nam, D. H., Sirkin, S., ... & Hu, H. (2010). A combined ecological and epidemiologic investigation of metal exposures amongst indigenous peoples near the Marlin Mine in Western Guatemala. Science of the Total Environment, 409(1), 70-77. Beelen, R., Raaschou-Nielsen, O., Stafoggia, M., Andersen, Z. J., Weinmayr, G., Hoffmann, B., ... & Vineis, P. (2014). Effects of long-term exposure to air pollution on natural-cause mortality: an analysis of 22 European cohorts within the multicentre ESCAPE project. The Lancet, 383(9919), 785-795. Bergstra, A. D., Brunekreef, B., & Burdorf, A. (2018). The effect of industry-related air pollution on lung function and respiratory symptoms in school children. Environmental Health, 17(1), 30. Bi, C., Zhou, Y., Chen, Z., Jia, J., & Bao, X. (2018). Heavy metals and lead isotopes in soils, road dust and leafy vegetables and health risks via vegetable consumption in the industrial areas of Shanghai, China. Science of the Total Environment, 619, 1349-1357. Blackwell, M., Iacus, S., King, G., & Porro, G. (2009). CEM: Coarsened exact matching in Stata. The Stata Journal, 9(4), 524-546. Bortey-Sam, N., Nakayama, S. M., Ikenaka, Y., Akoto, O., Baidoo, E., Yohannes, Y. B., ... & Ishizuka, M. (2015). Human health risks from metals and metalloid via consumption of food animals near gold mines in Tarkwa, Ghana: Estimation of the daily intakes and target hazard quotients (THQs). Ecotoxicology and environmental safety, 111, 160-167. Branson, N., & Byker, T. (2018). Causes and consequences of teen childbearing: Evidence from a reproductive health intervention in South Africa. Journal of Health Economics, 57, 221-235.27 Burgert, C. R., Colston, J., Roy, T., & Zachary, B. (2013). Geographic displacement procedure and georeferenced data release policy for the Demographic and Health Surveys. Burns, J., Boogaard, H., Polus, S., Pfadenhauer, L. M., Rohwer, A. C., Van Erp, A. M., ... & Rehfuess, E. A. (2020). Interventions to reduce ambient air pollution and their effects on health: An abridged Cochrane systematic review. Environment International, 135, 105400. Calderón-Garcidueñas, L., Leray, E., Heydarpour, P., Torres-Jardón, R., & Reis, J. (2016). Air pollution, a rising environmental risk factor for cognition, neuroinflammation and neurodegeneration: the clinical impact on children and beyond. Revue neurologique, 172(1), 69-80. Chang, T., Graff Zivin, J., Gross, T., & Neidell, M. (2016). Particulate pollution and the productivity of pear packers. American Economic Journal: Economic Policy, 8(3), 141-69. Chay, K. Y., & Greenstone, M. (2005). Does air quality matter? Evidence from the housing market. Journal of Political Economy, 113(2), 376-424. Chen, S., & Jin, H. (2019). Pricing for the clean air: Evidence from Chinese housing market. Journal of Cleaner Production, 206, 297-306. Cheung, C. W., He, G., & Pan, Y. (2020). Mitigating the air pollution effect? The remarkable decline in the pollution-mortality relationship in Hong Kong. Journal of Environmental Economics and Management, 102316. Cropper, M. L., Guttikunda, S., Jawahar, P., Malik, K., & Partridge, I. (2017). Costs and benefits of installing flue-gas desulfurization units at coal-fired power plants in India. Cunha, F., & Heckman, J. (2007). The technology of skill formation. American Economic Review, 97(2), 31-47. Currie, C. (Ed.). (2008). Inequalities in young people's health: HBSC international report from the 2005/2006 survey (No. 5). World Health Organisation. Currie, J., & Almond, D. (2011). Human capital development before age five. In Handbook of Labor Economics (Vol. 4, pp. 1315-1486). Elsevier. Currie, J., Davis, L., Greenstone, M., & Walker, R. (2015). Environmental health risks and housing values: evidence from 1,600 toxic plant openings and closings. American Economic Review, 105(2), 678-709. De Bont, J., Casas, M., Barrera-Gómez, J., Cirach, M., Rivas, I., Valvi, D., ... & Vrijheid, M. (2019). Ambient air pollution and overweight and obesity in school-aged children in Barcelona, Spain. Environment International, 125, 58-64. Deschenes, O., Greenstone, M., & Shapiro, J. S. (2012). Defensive investments and the demand for air quality: Evidence from the NOx budget program and ozone reductions (No. w18267). National Bureau of Economic Research. Dherani, M., Pope, D., Mascarenhas, M., Smith, K. R., Weber, M., & Bruce, N. (2008). Indoor air pollution from unprocessed solid fuel use and pneumonia risk in children aged under five years: a systematic review and meta-analysis. Bulletin of the World Health Organization, 86, 390-398C. Dinkelman, T. (2011). The effects of rural electrification on employment: New evidence from South Africa. American Economic Review, 101(7), 3078-3108. Dunning, T. (2012). Natural Experiments in the Social Sciences: A Design-based Approach. Cambridge University Press. Elder, A., & Oberdörster, G. (2006). Translocation and effects of ultrafine particles outside of the lung. Clinics in Occupational and Environmental Medicine, 5(4), 785-796. Elder, A., Gelein, R., Silva, V., Feikert, T., Opanashuk, L., Carter, J., ... & Oberdörster, G. (2006). Translocation of inhaled ultrafine manganese oxide particles to the central nervous system. Environmental Health Perspectives, 114(8), 1172-1178. Fashola, M. O., Ngole-Jeme, V. M., & Babalola, O. O. (2016). Heavy metal pollution from gold mines: environmental effects and bacterial strategies for resistance. International Journal of Environmental Research and Public Health, 13(11), 1047. Fenske, N., Burns, J., Hothorn, T., & Rehfuess, E. A. (2013). Understanding child stunting in India: a comprehensive analysis of socio-economic, nutritional and environmental determinants using additive quantile regression. PloS one, 8(11), e78692. Fichera, E., & Savage, D. (2015). Income and health in Tanzania. An instrumental variable approach. World Development, 66, 500-515. Finkelstein, A., Taubman, S., Wright, B., Bernstein, M., Gruber, J., Newhouse, J. P., ... & Oregon Health Study Group. (2012). The Oregon health insurance experiment: evidence from the first year. The Quarterly Journal of Economics, 127(3), 1057-1106. Gehrsitz, M. (2017). Pollution and infant health. Journal of Environmental Economics and Management, http://dx. doi. org/10.1016/j. jeem. 2017.02. 003. Gomezulu, E., Mwakaje, A., & Katima, J. (2018). Heavy metals and cyanide distribution in the villages surrounding Buzwagi gold mine in Tanzania. Tanzania Journal of Science, 44(1), 107-122. Goyal, Nihit, and David Canning. Exposure to ambient fine particulate air pollution in utero as a risk factor for child stunting in Bangladesh. International Journal of Environmental Research and Public Health 15.1 (2018): 22. Graff Zivin, J., & Neidell, M. (2012). The impact of pollution on worker productivity. American Economic Review, 102(7), 3652-73. Graff Zivin, J., & Neidell, M. (2013). Environment, health, and human capital. Journal of Economic Literature, 51(3), 689-730.28 Greenstone, M., Hanna, R., 2014. Environmental regulations, air and water pollution, and infant mortality in India. Am. Econ. Rev. 104 (10), 3038-3072. Greenstone, M., Jack, B. K., 2015. Envirodevonomics: a research agenda for an emerging field. J. Econ. Lit. 53(1), 5-42. Haazen, D. (2012). Making health financing work for poor people in Tanzania. World Bank Publications. Hanna, R., & Oliva, P. (2015). The effect of pollution on labor supply: Evidence from a natural experiment in Mexico City. Journal of Public Economics, 122, 68-79. Hansen, B. E. (2000). Sample splitting and threshold estimation. Econometrica, 68(3), 575-603. He, Y., & Collins, A. R. (2020). Does environmental pollution affect metropolitan housing prices? Evidence from Guangzhou, China (1987-2014). Applied Economics Letters, 27(3), 213-220. 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. Hilson, G., 2000. Barriers to implementing cleaner technologies and cleaner production (CP) practices in the mining industry: A case study of the Americas. Miner. Eng. 13(7), 699-717. Ho, D. E., Imai, K., King, G., & Stuart, E. A. (2007). Matching as nonparametric preprocessing for reducing model dependence in parametric causal inference. Political Analysis, 15(3), 199-236. Horton, M. K., Hsu, L., Henn, B. C., Margolis, A., Austin, C., Svensson, K., ... & Rojo, M. M. T. (2018). Dentine biomarkers of prenatal and early childhood exposure to manganese, zinc and lead and childhood behavior. Environment International, 121, 148-158. Iacus, S. M., & King, G. (2012). How coarsening simplifies matching-based causal inference theory. Milan, Italy: Department of Economics, Business and Statistics, University of Milan. Iacus, S. M., King, G., & Porro, G. (2008). Matching for causal inference without balance checking. Available at https://gking.harvard.edu/files/cem.pdf (accessed March 2020) Iacus, S. M., King, G., & Porro, G. (2012). Causal inference without balance checking: Coarsened exact matching. Political Analysis, 1-24. Iacus, S. M., King, G., Porro, G., MatchIt, I., Amelia, S., & Iacus, M. S. M. (2020). Package ‘CEM’. Available at: https://cran.r-project.org/web/packages/cem/cem.pdf (accessed October 2020) Jans, J., Johansson, P., & Nilsson, J. P. (2018). Economic status, air quality, and child health: Evidence from inversion episodes. Journal of Health Economics, 61, 220-232. Kamunda, C., Mathuthu, M., & Madhuku, M. (2016). Health risk assessment of heavy metals in soils from Witwatersrand Gold Mining Basin, South Africa. International Journal of Environmental Research and Public Health, 13(7), 663. King, G., & Nielsen, R. (2019). Why propensity scores should not be used for matching. Political Analysis, 27(4), 435-454. Kolstad, C. (2011). Intermediate environmental economics: International edition. OUP Catalogue. Kotsadam, A & Tolonen, A (2016): African Mining, Gender, and Local Employment, World Development Vol. 83, 325339. Kuehnle, D. (2014). The causal effect of family income on child health in the UK. Journal of Health Economics, 36, 137-150. Leder, O. M., Hessen, D. O., Lindberg, Y., Nystuen, G., Rathe, B., 2012. Recommendation to exclude AngloGold Ashanti Limited from the investment universe of the Government Pension Fund Global, in Annual Report 2013, Council on Ethics for the Government Pension Fund Global. pp. 94 135.http://etikkradet.no/files/2014/12/Annual_report_2013.pdf. (Assessed November 19/11/2019). Legros, G., Havet, I., Bruce, N., Bonjour, S., Rijal, K., Takada, M., et al. (2009). The energy access situation in developing countries: A review focusing on the least developed countries and sub-Saharan Africa. New York: United Nations Development Programme and World Health Organization. Leitão, N. C. (2018). The relationship between carbon dioxide emissions and Portuguese agricultural productivity. Studies in Agricultural Economics, 120(3), 143-149. Lichter, A., Pestel, N., & Sommer, E. (2017). Productivity effects of air pollution: Evidence from professional soccer. Labour Economics, 48, 54-66. Machisa, M., Wichmann, J., & Nyasulu, P. S. (2013). Biomass fuel use for household cooking in Swaziland: Is there an association with anaemia and stunting in children aged 6-36 months?. Transactions of the Royal Society of Tropical Medicine and Hygiene, 107(9), 535-544. Mishra, V., & Retherford, R. D. (2007). Does biofuel smoke contribute to anaemia and stunting in early childhood?. International Journal of Epidemiology, 36(1), 117-129. Mora, A. M., Córdoba, L., Cano, J. C., Hernandez-Bonilla, D., Pardo, L., Schnaas, L., ... & Eskenazi, B. (2018). Prenatal mancozeb exposure, excess manganese, and neurodevelopment at 1 year of age in the infants’ environmental health (ISA) study. Environmental Health Perspectives, 126(5), 057007. Moretti, E., & Neidell, M. (2011). Pollution, health, and avoidance behavior evidence from the ports of Los Angeles. Journal of Human Resources, 46(1), 154-175. Murthy, V. N., Okunade, A. A., 2009. The core determinants of health expenditure in the African context: Some econometric evidence for policy. Health Policy 91(1), 57-62.29 Neidell, M. (2009). Information, avoidance behavior, and health: The effect of ozone on asthma hospitalizations. Journal of Human Resources, 44(2), 450-478. Nilsson, J. P. (2009). The long-term effects of early childhood lead exposure: Evidence from the phase-out of leaded gasoline. Institute for Labour Market Policy Evaluation (IFAU) Work. Pap. Nkuli, G. (2012). Effects of mining activities at Bulyanhulu Gold Mine (BGM) on the water quality of Bulyanhulu River: Shinyanga-Tanzania. Masters’ Dissertation, Department of Civil Engineering, University of Zimbabwe, Harare. O’Sullivan, J. J., Lupakisyo Mwalwiba, G., Purcell, P. J., Turner, J. N., & Mtalo, F. (2016). Assessing sediment and water quality issues in expanding African wetlands: The case of the Mara River, Tanzania. International Journal of Environmental Studies, 73(1), 95-107. Oberdörster, G., Oberdörster, E., & Oberdörster, J. (2005). Nanotoxicology: an emerging discipline evolving from studies of ultrafine particles. Environmental Health Perspectives, 113(7), 823-839. Oberdörster, G., Sharp, Z., Atudorei, V., Elder, A., Gelein, R., Kreyling, W., & Cox, C. (2004). Translocation of inhaled ultrafine particles to the brain. Inhalation toxicology, 16(6-7), 437-445. Obiri, S. (2007). Determination of heavy metals in water from boreholes in Dumasi in the Wassa West District of western region of Republic of Ghana. Environmental Monitoring and Assessment, 130(1), 455-463. Obiri, S., Dodoo, D. K., Essumang, D. K., Armah, F. A., 2010. Cancer and non-cancer risk assessment from exposure to arsenic, copper, and cadmium in borehole, tap, and surface water in the Obuasi Municipality, Ghana. Hum. Ecol. Risk. Assess. 16, 651-665. Ogola, J. S., Mitullah, W. V., & Omulo, M. A. (2002). Impact of gold mining on the environment and human health: a case study in the Migori gold belt, Kenya. Environmental Geochemistry and Health, 24(2), 141-157. Orban, E., McDonald, K., Sutcliffe, R., Hoffmann, B., Fuks, K. B., Dragano, N., ... & Moebus, S. (2016). Residential road traffic noise and high depressive symptoms after five years of follow-up: results from the Heinz Nixdorf recall study. Environmental Health Perspectives, 124(5), 578-585. Oreopoulos, P. (2006). Estimating average and local average treatment effects of education when compulsory schooling laws really matter. American Economic Review, 96(1), 152-175. Ostro, B., Tobias, A., Querol, X., Alastuey, A., Amato, F., Pey, J., ... & Sunyer, J. (2011). The effects of particulate matter sources on daily mortality: a case-crossover study of Barcelona, Spain. Environmental Health Perspectives, 119(12), 1781-1787. Palapa, T. M., & Maramis, A. A. (2015). Heavy metals in water of stream near an amalgamation tailing ponds in Talawaan-Tatelu gold mining, North Sulawesi, Indonesia. Procedia Chemistry, 14, 428-436. Parker, R. N., & Asencio, E. K. (2009). GIS and Spatial Analysis for the Social Sciences: Coding, Mapping, and Modeling. Routledge. Perez-Heydrich, C., Warren, J. L., Burgert, C. R., & Emch, M. (2013). Guidelines on the Use of DHS GPS Data. ICF International. Rashed, M. N. (2010). Monitoring of contaminated toxic and heavy metals, from mine tailings through age accumulation, in soil and some wild plants at Southeast Egypt. Journal of Hazardous Materials, 178(1-3), 739- 746. Rehfuess, E., Mehta, S., & Prüss-Üstün, A. (2006). Assessing household solid fuel use: multiple implications for the Millennium Development Goals. Environmental Health Perspectives, 114(3), 373-378. Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41-55. Russell, S. (2004). The economic burden of illness for households in developing countries: A review of studies focusing on malaria, tuberculosis, and human immunodeficiency virus/acquired immunodeficiency syndrome. The American Journal of Tropical Medicine and Hygiene, 71(2_suppl), 147-155. Saldarriaga-Isaza, A., Villegas-Palacio, C., & Arango, S. (2013). The public good dilemma of a non-renewable common resource: A look at the facts of artisanal gold mining. Resources Policy, 38(2), 224-232. Schultz, E. S., Litonjua, A. A., & Melén, E. (2017). Effects of long-term exposure to traffic-related air pollution on lung function in children. Current Allergy and Asthma Reports, 17(6), 1-13. Shenoy, U., Kutty, K., Chaterjee, D., & Ranganath, B. G. (2018). Assessment of the respirable dust concentration of the mine tailing area in comparison with the non-mining area. J. Environ. Sci. Toxicol. Food Technol., 12, 37-40. Shupler, M., Godwin, W., Frostad, J., Gustafson, P., Arku, R. E., & Brauer, M. (2018). Global estimation of exposure to fine particulate matter (PM2.5) from household air pollution. Environment International, 120, 354-363. Smedley, P. L., Edmunds, W. M., & Pelig-Ba, K. B. (1996). Mobility of arsenic in groundwater in the Obuasi gold�mining area of Ghana: some implications for human health. Geological Society, London, Special Publications, 113(1), 163-181. Smith, K. R. (2000). National burden of disease in India from indoor air pollution. Proceedings of the National Academy of Sciences, 97(24):13286-13293.30 Smith, K. R., McCracken, J. P., Weber, M. W., Hubbard, A., Jenny, A., Thompson, L. M., Balmes, J., Diaz, A., Arana, B., and Bruce, N. (2011). Effect of reduction in household air pollution on childhood pneumonia in Guatemala (RESPIRE): A randomised controlled trial. The Lancet, 378(9804):1717-1726. Smith, K. R., Mehta, S., and Maeusezahl-Feuz, M. (2004). Indoor air pollution from household use of solid fuels. Comparative Quantification of Health Risks: Global and Regional Burden of Disease Attributable to Selected Major Risk Factors, 2:1435-1493. Smith, K. R., Samet, J. M., Romieu, I., & Bruce, N. (2000). Indoor air pollution in developing countries and acute lower respiratory infections in children. Thorax, 55(6), 518-532. Smith, V. K., & Huang, J. C. (1993). Hedonic models and air pollution: Twenty-five years and counting. Environmental and Resource Economics, 3(4), 381-394. Ssewanyana, S., & Kasirye, I. (2020). Estimating catastrophic health expenditures from household surveys: Evidence from living standard measurement surveys (LSMS)-integrated surveys on agriculture (ISA) from sub�Saharan Africa. Applied Health Economics and Health Policy, 18(6), 781-788. Stone, V., Miller, M. R., Clift, M. J., Elder, A., Mills, N. L., Møller, P., ... & Kuhlbusch, T. A. (2017). Nanomaterials versus ambient ultrafine particles: An opportunity to exchange toxicology knowledge. Environmental Health Perspectives, 125(10), 106002. Thompson, L. A., & Darwish, W. S. (2019). Environmental chemical contaminants in food: Review of a global problem. Journal of Toxicology, 2019. Tzivian, L., Dlugaj, M., Winkler, A., Weinmayr, G., Hennig, F., Fuks, K. B., ... & Jöckel, K. H. (2016). Long-term air pollution and traffic noise exposures and mild cognitive impairment in older adults: A cross-sectional analysis of the Heinz Nixdorf recall study. Environmental Health Perspectives, 124(9), 1361-1368. Tzivian, L., Winkler, A., Dlugaj, M., Schikowski, T., Vossoughi, M., Fuks, K., ... & Hoffmann, B. (2015). Effect of long-term outdoor air pollution and noise on cognitive and psychological functions in adults. International Journal of Hygiene and Environmental Health, 218(1), 1-11. USAID (2018). Tanzania: Nutrition Profile. Available at: https://www.usaid.gov/sites/default/files/documents/1864/Tanzania-Nutrition-Profile�Mar2018.pdf#:~:text=According%20to%20the%202015%E2%80%9316%20DHS�MIS%2C%2034%20percent%20of,%28MoHCDGEC%2C%20MoH%20Zanzibar%2C%20NBS%2C%20 OCGS%2C%20and%20ICF%202016%29. (Accessed May 2019). Vidmar, S. I., Cole, T. J., & Pan, H. (2013). Standardizing anthropometric measures in children and adolescents with functions for egen: Update. The Stata Journal, 13(2), 366-378. Vidmar, S., Carlin, J., Hesketh, K., & Cole, T. (2004). Standardizing anthropometric measures in children and adolescents with new functions for egen. The Stata Journal, 4(1), 50-55. Vierkötter, A., Krutmann, J., & Schikowski, T. (2018). Ambient particulate matter and skin. In Environment and Skin(pp. 105-111). Springer, Cham. Vierkötter, A., Schikowski, T., Ranft, U., Sugiri, D., Matsui, M., Krämer, U., & Krutmann, J. (2010). Airborne particle exposure and extrinsic skin aging. Journal of Investigative Dermatology, 130(12), 2719-2726. Vilcins, D., Sly, P. D., & Jagals, P. (2018). Environmental risk factors associated with child stunting: A systematic review of the literature. Annals of Global Health, 84(4), 551. Von der Goltz, J., & Barnwal, P. (2019). Mines: The local wealth and health effects of mineral mining in developing countries. Journal of Development Economics, 139, 1-16. Wilson, S. E. (2002). The health capital of families: An investigation of the inter-spousal correlation in health status. Social Science & Medicine, 55(7), 1157-1172. World Health Organization. (2005). Effects of Air Pollution on Children's Health and Development: A Review of the Evidence(No. EUR/05/5046027). Copenhagen: WHO Regional Office for Europe. World Health Organization. (2017). Tracking Universal Health Coverage: 2017 Global Monitoring Report. World Health Organization. (2018). Air Pollution and Child Health: Prescribing Clean Air: Summary (No. WHO/CED/PHE/18.01). World Health Organization. Zhang, J., & Mu, Q. (2018). Air pollution and defensive expenditures: Evidence from particulate-filtering facemasks. Journal of Environmental Economics and Management, 92, 517-536. Zhou, X., & Xie, Y. (2020). Heterogeneous treatment effects in the presence of self-selection: a propensity score perspective. Sociological Methodology, 50(1), 350-385. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/108800 |