Ghosh, sudeshna (2017): Globalization and Obesity: Asian Experiences of ‘Globesity’.
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Abstract
This paper explores the ‘globesity’ hypothesis that is, it examines, the effect of globalization in its social and economic dimensions on the obesity of the nations. The study utilized a panel set of Asian countries dividing it into two groups based on the income classification. The annual time period of data series runs from 1985 to 2015. For the low and low middle income countries economic and social globalization positively affects obesity, implying the benefits of globalization leads to adverse impact on health. This is due to life style changes, availability of processed food and lack of public awareness. However, for the richer Asian nations globalization, particularly in its social dimension has negative impact on obesity. The study employs the Westerlund cointegrating techniques to investigate upon the long run causal association between obesity and globalization
Item Type: | MPRA Paper |
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Original Title: | Globalization and Obesity: Asian Experiences of ‘Globesity’ |
English Title: | Globalization and Obesity: Asian Experiences of ‘Globesity’ |
Language: | English |
Keywords: | Obesity; Health; KOF index; Social globalization; Economic globalization; Asia, Granger Causality. |
Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General I - Health, Education, and Welfare > I0 - General > I00 - General |
Item ID: | 94601 |
Depositing User: | Dr SUDESHNA GHOSH |
Date Deposited: | 22 Jun 2019 06:32 |
Last Modified: | 02 Oct 2019 20:27 |
References: | References Ackerson, L. K., Kawachi, I., Barbeau, E. M., & Subramanian, S. V. (2008). Geography of underweight and overweight among women in India: a multilevel analysis of 3204 neighborhoods in 26 states. Economics & Human Biology, 6(2), 264-280. Andreyeva, T., Kelly, I. R., & Harris, J. L. (2011). Exposure to food advertising on television: associations with children's fast food and soft drink consumption and obesity. Economics & Human Biology, 9(3), 221-233. Bhattacharya J and N. Sood (2011). Who Pays for Obesity? The Journal of Economic Perspectives.25 (1), 139-158. URL: https://www.aeaweb.org/articles?id=10.1257/jep.25.1.139 Bleich, S. N., Cutler, D., Murray, C., & Adams, A. (2008). Why is the developed world obese?. Annu. Rev. Public Health, 29, 273-295. Breusch, T. S., & Pagan, A. R. (1980). The Lagrange multiplier test and its applications to model specification in econometrics. The Review of Economic Studies, 47(1), 239-253. Brown, A., & Siahpush, M. (2007). Risk factors for overweight and obesity: results from the 2001 National Health Survey. Public health, 121(8), 603-613. Brunella, G., Michaud, P.C., Galdeano, A.S. (2008). The rise of obesity across the Atlantic: an economic perspective, Discussion Paper, No.3529, IZA, Germany. Cawley, J., & Meyerhoefer, C. (2012). The medical care costs of obesity: an instrumental variables approach. Journal of health economics, 31(1), 219-230. Chou, S. Y., Grossman, M., & Saffer, H. (2004). An economic analysis of adult obesity: results from the Behavioral Risk Factor Surveillance System. Journal of health economics, 23(3), 565-587. Colagiuri, S., Lee, C. M., Colagiuri, R., Magliano, D., Shaw, J. E., Zimmet, P. Z., & Caterson, I. D. (2010). The cost of overweight and obesity in Australia. Med J Aust, 192(5), 260-4. Dreher, A. (2006). Does globalization affect growth? Evidence from a new index of globalization. Applied economics, 38(10), 1091-1110. Dumitrescu, E. I., & Hurlin, C. (2012). Testing for Granger non-causality in heterogeneous panels. Economic Modelling, 29(4), 1450-1460. Eberhardt, M. (2012). Estimating panel time-series models with heterogeneous slopes. Stata Journal, 12(1), 61. Eberhardt, M., & Teal, F. (2010). Productivity Analysis in Global Manufacturing Production. Economics Series Working Papers 515, University of Oxford, Department of Economics. Fast Facts: Urbanization in Asia (2011). Asian Development Bank, Department of External Relations. URL: https://www.adb.org/sites/default/files/Urbanization-fast- facts.pdf Finkelstein, E. A., Ruhm, C. J., & Kosa, K. M. (2005). Economic causes and consequences of obesity. Annu. Rev. Public Health, 26, 239-257. Finkelstein, E. A., Trogdon, J. G., Cohen, J. W., & Dietz, W. (2009). Annual medical spending attributable to obesity: payer-and service-specific estimates. Health affairs, 28(5), w822-w831. Finkelstein, E.A., Strombotne, K.L. (2010). The economics of obesity. The American Journal of Clinical Nutrition, 91(5), 1520S-1524S. DOI: Gaiha, Raghav and Jha, Raghbendra and Kulkarni, Vani S., (2011). Obesity, Affluence and Urbanisation in India (January 5, 2011). URL: SSRN: http://dx.doi.org/10.2139/ssrn.1735685 Garrett, J. L., & Ruel, M. T. (2005). Stunted child–overweight mother pairs: prevalence and association with economic development and urbanization. Food and Nutrition Bulletin, 26(2), 209-221. Gujarati, D. N. (2009). Basic econometrics. Tata McGraw-Hill Education. New Delhi. Helble, M. and Azusa Sato (2018). Wealthy But Unhealthy: Overweight and Obesity in Asia and the Pacific: Trends, Costs, and Policies for Better Health. Asian Development Bank Institute, Japan. Helble M and K Francisco (2017). The Imminent Obesity Crisis In Asia and The Pacific: First Cost Estimates, ADBI Working Paper Series No.743. Asian Development Bank Institute Huffman, S. K., & Rizov, M. (2007). Determinants of obesity in transition economies: the case of Russia. Economics & Human Biology, 5(3), 379-391. Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of econometrics, 115(1), 53-74. Jehn, M., & Brewis, A. (2009). Paradoxical malnutrition in mother–child pairs: untangling the phenomenon of over-and under-nutrition in underdeveloped economies. Economics & Human Biology, 7(1), 28-35. KOF Globalization Index. KOF Swiss Economic Institute, URL: https://www.kof.ethz.ch/en/forecasts-and-indicators/indicators/kof-globalisation-index.html Kulkarni, V. S., Kulkarni, V. S., & Gaiha, R. (2017). “Double Burden of Malnutrition”: Reexamining the Coexistence of Undernutrition and Overweight Among Women in India. International Journal of Health Services, 47(1), 108–133. DOI: https://doi.org/10.1177/0020731416664666 Maennig, W., Schicht, T., & Sievers, T. (2008). Determinants of obesity: the case of Germany. The Journal of Socio-Economics, 37(6), 2523-2534. McLaren, L. (2007). Socioeconomic status and obesity. Epidemiologic reviews, 29(1), 29-48. Meenakshi, J. V. (2016). Trends and patterns in the triple burden of malnutrition in India. Agricultural Economics, 47(S1), 115-134. Monteiro, C. A., Moura, E. C., Conde, W. L., & Popkin, B. M. (2004). Socioeconomic status and obesity in adult populations of developing countries: a review. Bulletin of the World Health Organization, 82(12), 940-946. Ng, M., Fleming, T., Robinson, M., Thomson, B., Graetz, N., Margono, C. ... & Abraham, J. P. (2014). Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013. The Lancet, 384(9945), 766-781. Pesaran, M. H. (2006), ‘Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure’, Econometrica, 74, 967-1012. Pesaran, M. H., & Yamagata, T. (2008). Testing slope homogeneity in large panels. Journal of Econometrics, 142(1), 50-93. Pesaran, M. H., Ullah, A., & Yamagata, T. (2008). A bias‐adjusted LM test of error cross‐section independence. The Econometrics Journal, 11(1), 105-127. Pesaran, M.H.,( 2004). General Diagnostic Tests for Cross Section Dependence in Panels. Cambridge working papers in economics no. 0435. Faculty of Economics, University of Cambridge. Phillipson, T., Posner, R.A. (1999). The long-run growth in obesity as a function of technological change. John M. Olin Program in Law and Economics, Working Paper No.78. Pieroni, Luca & Salmasi, Luca. (2010). Body weight and socio-economic determinants: quantile estimations from the British Household Panel Survey, MPRA Paper 26434, University Library of Munich, Germany. Popkin, B. M. (1994). The nutrition transition in low‐income countries: an emerging crisis. Nutrition reviews, 52(9), 285-298. Popkin, B. M., Adair, L. S., & Ng, S. W. (2012). Global nutrition transition and the pandemic of obesity in developing countries. Nutrition reviews, 70(1), 3-21. Popkin, B. M., Adair, L. S., & Ng, S. W. (2012). Global nutrition transition and the pandemic of obesity in developing countries. Nutrition reviews, 70(1), 3-21. DOI: http://doi.org/10.1111/j.1753-4887.2011.00456.x. Ramachandran, A., Chamukuttan, S., Shetty, S. A., Arun, N., & Susairaj, P. (2012). Obesity in Asia–is it different from rest of the world. Diabetes/metabolism research and reviews, 28, 47-51. Reynolds, K., Gu, D., Whelton, P. K., Wu, X., Duan, X., Mo, J., ... & InterASIA Collaborative Group. (2007). Prevalence and risk factors of overweight and obesity in China. Obesity, 15(1), 10-18. Rosin, O. (2008). The economic causes of obesity: a survey. Journal of Economic Surveys, 22(4), 617-647. Schmidhuber, J., & Shetty, P. (2005). Nutrition transition, obesity and non communicable diseases: drivers, outlook and concerns. SCN news, 29,13-19. Siddiqui, M. Z., & Donato, R. (2015). Overweight and obesity in India: policy issues from an exploratory multi-level analysis. Health policy and planning, 31(5), 582-591. Sobal, J., & Stunkard, A. J. (1989). Socioeconomic status and obesity: a review of the literature. Psychological bulletin, 105(2), 260-275. Thorpe, K. E., Florence, C. S., Howard, D. H., & Joski, P. (2004). The Impact of Obesity on Rising Medical Spending (10/20/2004). Health Affairs, 23(6), W4480–4486. WHO Global Database on Body Mass Index (BMI). URL: https://knoema.com/WHOGDOBMIMay/who-global-database-on-body-mass- index-bmi World Health Organization. (2017). Obesity and Overweight, Fact sheet,. URL: http://www.who.int/mediacentre |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/94601 |