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The Nexus between Pollution and Obesity and the Magnifying Role of Media Consumption: International Evidence from GMM Systems Estimates

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  • Cristiana Tudor

    (International Business and Economics Department, The Bucharest University of Economic Studies, 010374 Bucharest, Romania)

Abstract

The aim of this paper is to uncover the associations between air pollution, media consumption, and the prevalence of obesity. Based on data availability, this study draws on an unbalanced panel of 28 countries and develops and extracts relationships through robust System-General Method of Moments (Sys-GMM) estimators that account for the dynamic nature and high persistence of the variables of interest. In light of previous findings, economic development, trade openness, and government consumption are included as controls in the dynamic panel models. The estimation results consistently indicate that pollution is a strong determinant of obesity, a link that remains robust through the alternative proxies for pollution (i.e., total greenhouse gas emissions (GHG) and carbon (CO 2 ) intensity of energy generation). However, CO 2 intensity shows the strongest association with obesity. Furthermore, the findings indicate that media consumption is an independent and significant driver of obesity, whilst its inclusion among regressors further magnifies the impact and significance of the pollution factor. Moreover, the combined effect of media consumption and pollution significantly contributes to spurring obesity in all model specifications. Thus, a vicious cycle emerges between air pollution, media consumption, and obesity, with synergistic detrimental health effects. The current findings highlight the importance of continuing and consistent efforts to mitigate pollution and reach related low-carbon policy targets. Moreover, for the sustainable reduction and prevention of obesity, these efforts should be complemented by policy interventions and public campaigns aimed at “healthy” media consumption, such as encouraging regular physical exercise and healthy nutrition.

Suggested Citation

  • Cristiana Tudor, 2022. "The Nexus between Pollution and Obesity and the Magnifying Role of Media Consumption: International Evidence from GMM Systems Estimates," IJERPH, MDPI, vol. 19(16), pages 1-18, August.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:16:p:10260-:d:891269
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    as
    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    3. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    4. Anke E. Hoeffler, 2002. "The augmented Solow model and the African growth debate," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(2), pages 135-158, May.
    5. Mehdi Hajamini & Mohammad Ali Falahi, 2014. "The nonlinear impact of government consumption expenditure on economic growth: Evidence from low and low-middle income countries," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-15, December.
    6. Croissant, Yves & Millo, Giovanni, 2008. "Panel Data Econometrics in R: The plm Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i02).
    7. Hishamuddin Abdul Wahab & Buerhan Saiti & Saiful Azhar Rosly & Abul Mansur Mohammed Masih, 2017. "Risk-Taking Behavior and Capital Adequacy in a Mixed Banking System: New Evidence from Malaysia Using Dynamic OLS and Two-Step Dynamic System GMM Estimators," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 53(1), pages 180-198, January.
    8. Barro, Robert J, 1990. "Government Spending in a Simple Model of Endogenous Growth," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 103-126, October.
    9. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    10. Nielsen, Bo Bernhard & Raswant, Arpit, 2018. "The selection, use, and reporting of control variables in international business research: A review and recommendations," Journal of World Business, Elsevier, vol. 53(6), pages 958-968.
    11. Heid, Benedikt & Langer, Julian & Larch, Mario, 2012. "Income and democracy: Evidence from system GMM estimates," Economics Letters, Elsevier, vol. 116(2), pages 166-169.
    12. Giedrė Lapinskienė & Kęstutis Peleckis & Neringa Slavinskaitė, 2017. "Energy consumption, economic growth and greenhouse gas emissions in the European Union countries," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 18(6), pages 1082-1097, November.
    13. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    14. Olivier Habimana, 2017. "Do flexible exchange rates facilitate external adjustment? A dynamic approach with time-varying and asymmetric volatility," International Economics and Economic Policy, Springer, vol. 14(4), pages 625-642, October.
    15. Andrew K. Jorgenson, 2014. "Economic development and the carbon intensity of human well-being," Nature Climate Change, Nature, vol. 4(3), pages 186-189, March.
    16. Tiba, Sofien & Belaid, Fateh, 2020. "The pollution concern in the era of globalization: Do the contribution of foreign direct investment and trade openness matter?," Energy Economics, Elsevier, vol. 92(C).
    17. Nguyen Phuc Canh & Christophe Schinckus & Su DinhThanh, 2019. "Do economic openness and institutional quality influence patents? Evidence from GMM systems estimates," International Economics, CEPII research center, issue 157, pages 134-169.
    18. Christopher F Baum, 2006. "An Introduction to Modern Econometrics using Stata," Stata Press books, StataCorp LP, number imeus, March.
    19. Badi H. Baltagi, 2021. "Econometric Analysis of Panel Data," Springer Texts in Business and Economics, Springer, edition 6, number 978-3-030-53953-5, April.
    20. de Meulemeester, Jean-Luc & Rochat, Denis, 1995. "A causality analysis of the link between higher education and economic development," Economics of Education Review, Elsevier, vol. 14(4), pages 351-361, December.
    21. Runge, C. Ford, 2007. "The Economic Consequences of the Obese," Working Papers 7261, University of Minnesota, Center for International Food and Agricultural Policy.
    22. Kruss, Glenda & McGrath, Simon & Petersen, Il-haam & Gastrow, Michael, 2015. "Higher education and economic development: The importance of building technological capabilities," International Journal of Educational Development, Elsevier, vol. 43(C), pages 22-31.
    23. Cuicui Lu & Jeffrey M. Wooldridge, 2020. "A GMM estimator asymptotically more efficient than OLS and WLS in the presence of heteroskedasticity of unknown form," Applied Economics Letters, Taylor & Francis Journals, vol. 27(12), pages 997-1001, June.
    24. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    25. Biresselioglu, Mehmet Efe & Kilinc, Dilara & Onater-Isberk, Esra & Yelkenci, Tezer, 2016. "Estimating the political, economic and environmental factors’ impact on the installed wind capacity development: A system GMM approach," Renewable Energy, Elsevier, vol. 96(PA), pages 636-644.
    26. José M. Pastor & Carlos Peraita & Lorenzo Serrano & Ángel Soler, 2018. "Higher education institutions, economic growth and GDP per capita in European Union countries," European Planning Studies, Taylor & Francis Journals, vol. 26(8), pages 1616-1637, August.
    27. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    28. Cristiana Tudor & Robert Sova, 2022. "Driving Factors for R&D Intensity: Evidence from Global and Income-Level Panels," Sustainability, MDPI, vol. 14(3), pages 1-16, February.
    29. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
    30. Thomakos, Dimitrios D. & Alexopoulos, Thomas A., 2016. "Carbon intensity as a proxy for environmental performance and the informational content of the EPI," Energy Policy, Elsevier, vol. 94(C), pages 179-190.
    31. Egger, Garry & Swinburn, Boyd & Amirul Islam, F.M., 2012. "Economic growth and obesity: An interesting relationship with world-wide implications," Economics & Human Biology, Elsevier, vol. 10(2), pages 147-153.
    32. Omri, Anis & Nguyen, Duc Khuong, 2014. "On the determinants of renewable energy consumption: International evidence," Energy, Elsevier, vol. 72(C), pages 554-560.
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