Does Adulthood Obesity Promote Greenhouse Gas Emissions in Africa? Evidence from Panel Corrected Standard Error Models
Abstract
Obesity is one of the major public health epidemics that the world currently faces. The environmental implication of obesity is reflected in its impacts on greenhouse gas (GHG) emissions due to increased pressure on food production system, oxidative metabolism, and combustion of fossil fuels during transportation. However, few studies exist on the linkage between GHG emissions and obesity. This seeks to fill this gap by analyzing the effect obesity total GHG emission, carbon dioxides emissions, per capita carbon emissions, and emissions of carbon dioxide from liquid fuel. The data were from 45 African countries for the period 1990-2016. The data were analyzed with panel corrected standard error (PCSE) after positive feedbacks from cross-section dependence, and cointegration tests. The results showed that obesity, urban population, and GDP per capita were generally positively related to GHG emissions, while renewable energy, livestock production index and utilization had negative association. It was recommended that initiatives to reduce obesity promise some environmental benefits. Also, there is the need to promote renewable energy utilization and facilitate sustainable agricultural production, to reduce environmental damages.
References
*** United States Environmental Protection Agency. Global greenhouse gas emissions data. Available online: https://www.epa.gov/ghgemissions/global-greenhouse-gas-emissions-data (accessed on 20th March, 2024).
Adeleye, B.N.; Akam, D.; Inuwa, N.; James, H.T. & Basila, D. (2023). Does globalization and energy usage influence carbon emissions in South Asia? An empirical revisit of the debate. Environmental Science and Pollution Research, 30(13), pp. 36190-36207.
Adeleye, B.N.; Akam, D.; Inuwa, N.; Olarinde, M.; Okafor, V.; Ogunrinola, I. et al. (2021a). Investigating growth-energy-emissions trilemma in South Asia. International Journal of Energy Economics and Policy, 11(5), pp. 112–120.
Adeleye, B.N.; Nketiah, E.; & Adjei, M. (2021b). Causal examination of carbon emissions and economic growth for sustainable environment: evidence from Ghana. Estudios De Economia Aplicada 39(8), pp. 1-18.
Agudelo-Vera, C.M.; Mels, A.R.; Keesman, K.J. & Rijnaarts, H.H. (2011). Resource management as a key factor for sustainable urban planning. Journal of Environmental Management, 92(10), pp. 2295-2303.
Akil, L. & Ahmad, H.A. (2011). Relationships between obesity and cardiovascular diseases in four southern states and Colorado. Journal of Health Care Poor Underserved, 22(4 Suppl), pp. 61-72.
Albu, L. L. (2007). Spatial econometrics-applications to investigate- Distribution of CO2 emission in Europe. Journal of Economic Forecasting, 8, pp. 45–56.
Amponsah, N.Y.; Troldborg, M.; Kington, B.; Aalders, I. & Hough, R.L. (2014). Greenhouse gas emissions from renewable energy sources: A review of lifecycle considerations. Renewable and Sustainable Energy Reviews, 39, pp. 461-475.
An, R.; Ji, M. & Zhang S. (2018). Global warming and obesity: a systematic review. Obesity Review, 19, pp. 150–163.
Ansuategi, A. & Escapa, M. (2002). Economic growth and greenhouse gas emissions. Ecological Economics, 40(1), pp. 23-37.
Anwar, S. & Sun, S. (2014). Heterogeneity and curvilinearity of FDI-related productivity spillovers in China’s manufacturing sector. Economic Modelling, 41, pp. 23-32.
Appiah, K.; Du, J. & Poku, J. (2018). Causal relationship between agricultural production and carbon dioxide emissions in selected emerging economies. Environmental Science and Pollution Research, 25, pp. 24764-24777.
Ayyildiz, M. & Erdal, G. (2021). The relationship between carbon dioxide emission and crop and livestock production indexes: a dynamic common correlated effects approach. Environmental Science and Pollution Research, 28(1), pp. 597-610.
Chuai, X.W.; Huang, X.J.; Wang, W.J.; Wen, J.Q.; Chen, Q.; & Peng, J.W. (2012). Spatial econometric analysis of carbon emissions from energy consumption in China. Journal of Geographical Sciences. 22, pp. 630–642.
De Hoyos, R.E. & Sarafidis, V. (2006). Testing for cross-sectional dependence in panel-data models. The Stata Journal, 6(4), pp. 482-496.
Dietz, W.H. & Pryor, S. (2022). How can we act to mitigate the global syndemic of obesity, undernutrition, and climate change?. Current Obesity Reports, 11(3), pp. 61-69.
Dong, L. & Liang, H.W. (2014). Spatial analysis on China’s regional air pollutants and CO2 emissions: Emission pattern and regional disparity. Atmospheric Environment, 92, pp. 280–291.
El-Khoury, A. E.; Sánchez, M.; Fukagawa, N. K.; Gleason, R. E. & Young, V. R. (1994). Similar 24-h pattern and rate of carbon dioxide production, by indirect calorimetry vs. stable isotope dilution, in healthy adults under standardized metabolic conditions. Journal of Nutrition, 124, pp. 1615-1627.
Fan, J.; Zhou, L.; Zhang, Y.; Shao, S. & Ma, M. (2021). How does population aging affect household carbon emissions? Evidence from Chinese urban and rural areas. Energy Economics, 100, p. 105356.
Frank, L.D.; Andresen, M.A. & Schmid, T.L. (2004). Obesity relationships with community design, physical activity, and time spent in cars. Am J Prev Med, 27(2), pp. 87-96.
Hale, G. & Long, C. (2011). Did foreign direct investment put an upward pressure on wages in China? IMF Economic Review, 59, pp. 404-430.
Huang, W.M.; Lee, G.W. and Wu, C.C.; 2008. GHG emissions, GDP growth and the Kyoto Protocol: A revisit of Environmental Kuznets Curve hypothesis. Energy Policy, 36(1), pp. 239-247.
Huang, Y.; Chen, F.; Wei, H.; Xiang, J.; Xu, Z. & Akram, R. (2022). The impacts of FDI inflows on carbon emissions: Economic development and regulatory quality as moderators. Frontiers in Energy Research, 9, p. 820596.
Koch, C.A.; Sharda, P.; Patel, J.; Gubbi, S.; Bansal, R. & Bartel, M.J. (2021). Climate change and obesity. Hormone and Metabolic Research, 53(09), pp. 575-587.
Koengkan, M. & Fuinhas, J.A. (2021a). Does the overweight epidemic cause energy consumption? A piece of empirical evidence from the European region. Energy, 216, p. 119297.
Koengkan, M. & Fuinhas, J.A. (2021b). Is gender inequality an essential driver in explaining environmental degradation? Some empirical answers from the CO2 emissions in European Union countries. Environmental Impact Assessment Review, 90, p. 106619.
Leitão, N. C. & Balogh, J. M. (2020). The impact of energy consumption and agricultural production on carbon dioxide emissions in Portugal. AGRIS on-line Papers in Economics and Informatics, 12(1), pp. 49-59.
Li, L.; Hong, X.; Tang, D. & Na, M. (2016). GHG emissions, economic growth and urbanization: a spatial approach. Sustainability, 8(5), p.462.
Lima, M.A.; Mendes, L.F.R.; Mothé, G.A.; Linhares, F.G.; De Castro, M.P.P.; Da Silva, M.G. & Sthel, M.S. (2020). Renewable energy in reducing greenhouse gas emissions: Reaching the goals of the Paris agreement in Brazil. Environmental Development, 33, p. 100504.
Liu, J.; Li, M. & Ding, Y. (2021). Econometric analysis of the impact of the urban population size on carbon dioxide (CO2) emissions in China. Environment, Development and Sustainability, 23(12), pp. 18186-18203.
Liu, Y.; Gao, C. & Lu, Y.; 2017. The impact of urbanization on GHG emissions in China: The role of population density. Journal of Cleaner Production, 157, pp. 299-309.
Ma,J.J.; Liu, X.; You, J.X. & Zhang, M.L. (2009). Spatial econometric analysis of China’s provincial CO2 emissions. Proceedings of the 2nd International Joint Conference on Computational Sciences and Optimization, Sanya, China, pp. 452-456.
Magkos, F.; Tetens, I.; Bügel, S.G.; Felby, C.; Schacht, S.R.; Hill, J.O.; Ravussin, E. & Astrup, A. (2020). The environmental foodprint of obesity. Obesity, 28(1), pp. 73-79.
Malley, C.S.; Hicks, W.K.; Kulyenstierna, J.C.; Michalopoulou, E.; Molotoks, A.; Slater, J.; Heaps, C.G.; Ulloa, S.; Veysey, J.; Shindell, D.T. & Henze, D.K. (2021). Integrated assessment of global climate, air pollution, and dietary, malnutrition and obesity health impacts of food production and consumption between 2014 and 2018. Environmental Research Communications, 3(7), p. 075001.
Meyer, W.B. & Turner, B.L.; 1992. Human population growth and global land-use/cover change. Annual Review of Ecology and Systematics, 23(1), pp. 39-61.
Michaelowa, A. & Dransfeld, B. (2008). Greenhouse gas benefits of fighting obesity. Ecological Economics, 66(2-3), pp. 298-308.
Myers, S. S.; Smith, M. R.; Guth S, Golden, C. D.; Vaitla, B.; Mueller, N. D. et al. (2017). Climate change and global food systems: potential impacts on food security and undernutrition. Annual Review of Public Health, 38, pp. 259-277.
O’Mara, F.P. (2011). The significance of livestock as a contributor to global greenhouse gas emissions today and in the near future. Animal Feed Science and Technology, 166-167, pp. 7-15.
O’Neill, B.C.; Liddle, B.; Jiang, L.; Smith, K.R.; Pachauri, S.; Dalton, M. & Fuchs, R. (2012). Demographic change and carbon dioxide emissions. The Lancet, 380(9837), pp. 157-164.
Paisley, A. (2023). Why the climate crisis is a health crisis. Available online: https://www.one.org/stories/climate-global-health-crisis/?gad_source=1&gclid=CjwKCAjwkuqvBhAQEiwA65XxQLFddR9Y9Nja5fCUhm6tVJYWuTHKPkO2zJSxmLA1RSExrVeaGzTXMRoCA8AQAvD_BwE (accessed on 20th March 2024).
Phillips, P. & Sul, D. (2003). Dynamic panel estimation and homogeneity testing under cross section dependence. Econometrics Journal, 6, pp. 217–259.
Ravussin, E.; Burnand, B.; Schutz, Y. & Jequier E. (1982). Twenty-four-hour energy expenditure and resting metabolic rate in obese, moderately obese, and control subjects. American Journal of Clinical Nutrition, 35, pp. 566-573.
Roberts, J.T. & Grimes, P.E. (1997). Carbon intensity and economic development 1962-1991: A brief exploration of the environmental Kuznets curve. World Development, 25, pp. 191-198.
Sakadevan, K. & Nguyen, M.L. (2017). Livestock production and its impact on nutrient pollution and greenhouse gas emissions. Advances in Agronomy, 141, pp. 147-184.
Sarkodie, S. & Owusu, P. (2017). The relationship between carbon dioxide, crop and food production index in Ghana: By estimating the long-run elasticities and variance decomposition. Environmental Engineering Research, 22(2), pp. 193-202.
Selden, T. M. & Song, D. Q. (1995). Neoclassical growth, the J-curve for abatement, and the inverted U-curve for pollution. Journal of Environmental Economic Management, 29, pp. 162-168.
Shah, S.A.A.; Shah, S.Q.A. & Tahir, M. (2022). Determinants of CO2 emissions: exploring the unexplored in low-income countries. Environmental Science and Pollution Research, 29, pp. 48276–48284.
Sharma, S.S. (2011). Determinants of carbon dioxide emissions: empirical evidence from 69 countries. Applied Energy, 88(1), pp. 376-382.
Springmann, M.; Wiebe, K.; Mason-D’Croz, D.; Sulser, T.B.; Rayner, M. & Scarborough, P. (2018). Health and nutritional aspects of sustainable diet strategies and their association with environmental impacts: a global modelling analysis with country-level detail. The Lancet Planetary Health, 2(10), pp. 2542-5196.
Squalli, J. (2014). Is obesity associated with global warming? Public Health, 128(12), pp. 1087-1093.
Steinegger, R. (2017). Fuel economy as function of weight and distance. Winterthur, Switzerland: Zurich University of Applied Sciences (ZHAW Zürcher Hochschule für Angewandte Wissenschaften). https://digitalcollection.zhaw.ch/handle/11475/1896. Accessed November 26, 2019.
Sun, W. & Huang, C. (2020). How does urbanization affect carbon emission efficiency? Evidence from China. Journal of Cleaner Production, 272, p. 122828.
Swinburn, B. A.; Kraak, V. I.; Allender, S.; Atkins, V. J.; Baker, P. I.; Bogard, J. R.; Brinsden, H.; Calvillo, A.; De Schutter, O.; Devarajan, R. & Ezzati, M. (2019). The global syndemic of obesity, undernutrition, and climate change: the Lancet Commission report. The lancet, 393(10173), pp. 791-846.
The integrated African Health Observatory (iAHO) and World Health Organization (WHO) (2024). Displaying Indicators for AFRO Region. Available online: https://aho.afro.who.int/ind/af?ind=439&cc=af&ci=1&dim=100&dom=Cardiovascular%20disease%20across%20NCDs (Accessed 12 February, 2024).
Tilman, D. & Clark, M. (2014). Global diets link environmental sustainability and human health Nature 515, pp. 518-522.
Toti, E.; Di Mattia, C. & Serafini, M. (2019). Metabolic food waste and ecological impact of obesity in FAO World’s region. Frontiers in Nutrition, 6, p. 460769.
Trentinaglia, M. T.; Parolini, M.; Donzelli, F. & Olper, A. (2021). Climate change and obesity: A global analysis. Global Food Security, 29, p. 100539.
Trentinaglia, M. T.; Parolini, M.; Donzelli, F. & Olper, A. (2021). Climate change and obesity: A global analysis. Global Food Security, 29, p. 100539.
Tucker, M. (1995). Carbon dioxide emissions and global GDP. Ecological Economics, 15(3), pp. 215-223.
United Nations (2023). Goal 13: Take urgent action to combat climate change and its impacts.
Vasylieva, T.; Lyulyov, O.; Bilan, Y. & Streimikiene, D. (2019). Sustainable economic development and greenhouse gas emissions: The dynamic impact of renewable energy consumption, GDP, and corruption. Energies, 12(17), p. 3289.
Walpole, S.C.; Prieto-Merino, D.; Edwards, P.; Cleland, J.; Stevens, G.; & Roberts, I. (2012). The weight of nations: an estimation of adult human biomass. BMC Public Health, 12, p. 439.
Wang, Q. & Li, L. (2021). The effects of population aging, life expectancy, unemployment rate, population density, per capita GDP, urbanization on per capita carbon emissions. Sustainable Production and Consumption, 28, pp. 760-774.
Wang, S.; Tarroja, B.; Schell, L.S.; Shaffer, B. & Samuelsen, S. (2019). Prioritizing among the end uses of excess renewable energy for cost-effective greenhouse gas emission reductions. Applied Energy, 235, pp. 284-298.
Wang, Y.; Liao, M.; Xu, L. & Malik, A.; 2021. The impact of foreign direct investment on China’s carbon emissions through energy intensity and emissions trading system. Energy Economics, 97, p. 105212.
Webb, G. J. & Egger, G. (2014). Obesity and climate change: can we link the two and can we deal with both together? American Journal of Lifestyle Medicine, 8(3), pp. 200-204.
Wei, Y.D. & Ye, X. (2014). Urbanization, urban land expansion and environmental change in China. Stochastic Environmental Research and Risk Assessment, 28, pp. 757-765.
Willett, W.; Rockström, J.; Loken, B.; Springmann, M.; Lang, T.; Vermeulen, S.; Garnett, T.; Tilman, D.; DeClerck, F.; Wood, A. & Jonell, M. (2019). Food in the Anthropocene: the EAT–Lancet Commission on healthy diets from sustainable food systems. The Lancet, 393(10170), pp. 447-492.
World Health Organization (WHO) (2023). WHO Acceleration Plan to Stop Obesity. Available online https://iris.who.int/bitstream/handle/10665/370281/9789240075634-eng.pdf?sequence=1 (accessed on 18th March 2024).
World Health Organization, (2024). Obesity and Overweight. Available online: https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight#:~:text=In%202022%2C%201%20in%208,million%20were%20living%20with%20obesity (accessed on 18th March 2024).
Yang, T. & Wang, Q. (2020). The nonlinear effect of population aging on carbon emission-Empirical analysis of ten selected provinces in China. Science of the Total Environment, 740, p. 140057.
Yang, Y.; Zhao, T.; Wang, Y. & Shi, Z. (2015). Research on impacts of population-related factors on carbon emissions in Beijing from 1984 to 2012. Environmental Impact Assessment Review, 55, pp. 45-53.
Yu, Y.Y.; Liang, Q. M. & Liu, L.J. (2023). Impact of population ageing on carbon emissions: a case of China’s urban households. Structural Change and Economic Dynamics, 64, pp. 86-100.
Zhang, C. & Tan, Z. (2016). The relationships between population factors and China’s carbon emissions: does population aging matter? Renewable and Sustainable Energy Reviews, 65, pp. 1018-1025.
Zheutlin, A.R.; Adar, S.D. & Park, S.K. (2014). Carbon dioxide emissions and change in prevalence of obesity and diabetes in the United States: an ecological study. Environment International, 73, pp. 111-116.
Zhou Y. & Liu Y. (2016). Does population have a larger impact on carbon dioxide emissions than income? Evidence from a cross-regional panel analysis in China. Applied Energy, 180, pp. 800-809.
Zhou, Y.; Fu, J.; Kong, Y. & Wu, R.; 2018. How foreign direct investment influences carbon emissions, based on the empirical analysis of Chinese urban data. Sustainability, 10(7), p. 2163.
Zhou, Y.; Wang, H. & Qiu, H. (2023). Population aging reduces carbon emissions: Evidence from China’s latest three censuses. Applied Energy, 351, p. 121799.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Abayomi Oyekale
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The author fully assumes the content originality and the holograph signature makes him responsible in case of trial.