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School Energy Consumption and Children’s Obesity: Evidence from China

Author

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  • Shangrong Han

    (School of Statistics, Beijing Normal University, Beijing 100875, China)

  • Bo Han

    (School of Statistics, Beijing Normal University, Beijing 100875, China)

  • Yan Zhu

    (College of Physical Education and Sports, Beijing Normal University, Beijing 100875, China)

  • Xiaojie Liu

    (School of Statistics, Beijing Normal University, Beijing 100875, China)

  • Limin Fu

    (Department of Sport Arts, Hebei Sport University, Shijiazhuang 050041, China)

Abstract

Rising obesity rates may lead to an increase in greenhouse gas emissions, undermining carbon neutrality goals. However, evidence of the determinants of obesity from the perspective of energy economics is relatively limited. We contribute to the literature on the determinants of obesity by empirically studying the relationship between the school energy consumption and children’s BMI. Based on a combined dataset of Chinese children’s physical health data, kindergarten energy consumption data, and kindergarten geographic information data, we find that school energy consumption is negatively correlated with obesity, and there is considerable heterogeneity in the relationship of school energy consumption between kindergartens in cold areas and severe cold areas and between young girls and young boys. Our results are robust to alternative modeling techniques, the inclusion of additional control variables, and unobservable potential effects. We also find that children’s exercise ability is an important transmission channel between school heating and the probability of obesity.

Suggested Citation

  • Shangrong Han & Bo Han & Yan Zhu & Xiaojie Liu & Limin Fu, 2023. "School Energy Consumption and Children’s Obesity: Evidence from China," Sustainability, MDPI, vol. 15(10), pages 1-16, May.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:8226-:d:1150108
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    1. Philipp Biermann, 2016. "How Fuel Poverty Affects Subjective Well-Being: Panel Evidence from Germany," Working Papers V-395-16, University of Oldenburg, Department of Economics, revised Oct 2016.
    2. Oum, Sothea, 2019. "Energy poverty in the Lao PDR and its impacts on education and health," Energy Policy, Elsevier, vol. 132(C), pages 247-253.
    3. Awaworyi Churchill, Sefa & Smyth, Russell & Farrell, Lisa, 2020. "Fuel poverty and subjective wellbeing," Energy Economics, Elsevier, vol. 86(C).
    4. Richard A. Dunn, 2010. "The Effect of Fast-Food Availability on Obesity: An Analysis by Gender, Race, and Residential Location," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(4), pages 1149-1164.
    5. Kushneel Prakash & Musharavati Ephraim Munyanyi, 2021. "Energy poverty and obesity," Melbourne Institute Working Paper Series wp2021n11, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    6. Howden-Chapman, Philippa & Viggers, Helen & Chapman, Ralph & O’Sullivan, Kimberley & Telfar Barnard, Lucy & Lloyd, Bob, 2012. "Tackling cold housing and fuel poverty in New Zealand: A review of policies, research, and health impacts," Energy Policy, Elsevier, vol. 49(C), pages 134-142.
    7. Banerjee, Rajabrata & Mishra, Vinod & Maruta, Admasu Asfaw, 2021. "Energy poverty, health and education outcomes: Evidence from the developing world," Energy Economics, Elsevier, vol. 101(C).
    8. Kristen Cooksey-Stowers & Marlene B. Schwartz & Kelly D. Brownell, 2017. "Food Swamps Predict Obesity Rates Better Than Food Deserts in the United States," IJERPH, MDPI, vol. 14(11), pages 1-20, November.
    9. Zhang, Dayong & Li, Jiajia & Han, Phoumin, 2019. "A multidimensional measure of energy poverty in China and its impacts on health: An empirical study based on the China family panel studies," Energy Policy, Elsevier, vol. 131(C), pages 72-81.
    10. Zhang, Ziyu & Shu, Hongting & Yi, Hong & Wang, Xiaohua, 2021. "Household multidimensional energy poverty and its impacts on physical and mental health," Energy Policy, Elsevier, vol. 156(C).
    11. Chenyang Wang & Zhiping Zhen & Nan Zhao & Chenlin Zhao, 2021. "Associations between Fast-Food Restaurants Surrounding Kindergartens and Childhood Obesity: Evidence from China," IJERPH, MDPI, vol. 18(17), pages 1-15, September.
    12. Wu, X.F. & Chen, G.Q., 2017. "Energy use by Chinese economy: A systems cross-scale input-output analysis," Energy Policy, Elsevier, vol. 108(C), pages 81-90.
    13. Pan, Lei & Biru, Ashenafi & Lettu, Sandra, 2021. "Energy poverty and public health: Global evidence," Energy Economics, Elsevier, vol. 101(C).
    14. Yukie Hayashi & Steven M. Schmidt & Agneta Malmgren Fänge & Tanji Hoshi & Toshiharu Ikaga, 2017. "Lower Physical Performance in Colder Seasons and Colder Houses: Evidence from a Field Study on Older People Living in the Community," IJERPH, MDPI, vol. 14(6), pages 1-9, June.
    15. Awaworyi Churchill, Sefa & Smyth, Russell, 2021. "Energy poverty and health: Panel data evidence from Australia," Energy Economics, Elsevier, vol. 97(C).
    16. Prakash, Kushneel & Munyanyi, Musharavati Ephraim, 2021. "Energy poverty and obesity," Energy Economics, Elsevier, vol. 101(C).
    17. Ribas, Aline & Lucena, André F.P. & Schaeffer, Roberto, 2017. "Bridging the energy divide and securing higher collective well-being in a climate-constrained world," Energy Policy, Elsevier, vol. 108(C), pages 435-450.
    18. Karmaker, Shamal Chandra & Sen, Kanchan Kumar & Singha, Bipasha & Hosan, Shahadat & Chapman, Andrew J. & Saha, Bidyut Baran, 2022. "The mediating effect of energy poverty on child development: Empirical evidence from energy poor countries," Energy, Elsevier, vol. 243(C).
    19. Nawaz, Saima, 2021. "Energy poverty, climate shocks, and health deprivations," Energy Economics, Elsevier, vol. 100(C).
    20. Joslyn, Mark R. & Haider-Markel, Donald P., 2019. "Perceived causes of obesity, emotions, and attitudes about Discrimination Policy," Social Science & Medicine, Elsevier, vol. 223(C), pages 97-103.
    21. Shorter, Caroline & Crane, Julian & Barnes, Phillipa & Kang, Janice & Honeywill, Claire & Robertson, Oliver & O'Sullivan, Kimberley & Telfar-Barnard, Lucy & Pierse, Nevil & Howden-Chapman, Philippa, 2022. "The cost of achieving healthy temperatures in children's bedrooms: Evidence from New Zealand," Energy Policy, Elsevier, vol. 164(C).
    22. Michaelowa, Axel & Dransfeld, Björn, 2008. "Greenhouse gas benefits of fighting obesity," Ecological Economics, Elsevier, vol. 66(2-3), pages 298-308, June.
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