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Is there an Animal Food Kuznets Curve, and does it matter?

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  • Frontuto, Vito
  • Felici, Tommaso
  • Andreoli, Vania
  • Bagliani, Marco Maria
  • Corsi, Alessandro

Abstract

Proteins from animal sources, including meat, and plant-based foods are essential for a healthy human diet. However, animal-based proteins have significantly higher environmental impacts (e.g., greenhouse gas emissions, deforestation, and water usage) and health risks (e.g., obesity, type 2 diabetes, kidney stones and cardiovascular diseases) compared to plant-based proteins. The consumption patterns of these pro-teins are strongly influenced by income levels. This study introduces the concept of an Animal Food Kuznets Curve by systematically analyzing the relationship between income and animal-based protein consumption. Utilizing a novel panel dataset span-ning 28 years and covering 79 countries, we uncover an inverted U-shaped relation-ship between income and the consumption of animal-based and meat proteins. Our findings indicate that the turning points occur around 43,000-45,000 US$, correspond-ing to the 90th and 95th percentiles of the per capita income distribution in the sam-ple. At these income levels, protein consumption is estimated at approximately 25 g/day for meat and 52 g/day for animal-based proteins, as compared to recommended total protein intake of 45-56 g/day. These insights highlight the critical need for tar-geted policy interventions, such as taxes, nudges, and informational campaigns to pro-mote sustainable dietary choices across all income levels. Our study provides empiri-cal evidence for the importance of integrating economic and environmental policies to enhance global food sustainability.

Suggested Citation

  • Frontuto, Vito & Felici, Tommaso & Andreoli, Vania & Bagliani, Marco Maria & Corsi, Alessandro, 2025. "Is there an Animal Food Kuznets Curve, and does it matter?," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 14(1).
  • Handle: RePEc:ags:aieabj:361317
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    1. Franziska Funke & Linus Mattauch & Inge van den Bijgaart & H. Charles J. Godfray & Cameron Hepburn & David Klenert & Marco Springmann & Nicolas Treich, 2022. "Toward Optimal Meat Pricing: Is It Time to Tax Meat Consumption?," Review of Environmental Economics and Policy, University of Chicago Press, vol. 16(2), pages 219-240.
    2. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    3. Lakdawalla, Darius & Philipson, Tomas, 2009. "The growth of obesity and technological change," Economics & Human Biology, Elsevier, vol. 7(3), pages 283-293, December.
    4. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    5. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    6. Bonnet, Céline & Bouamra-Mechemache, Zohra & Réquillart, Vincent & Treich, Nicolas, 2020. "Viewpoint: Regulating meat consumption to improve health, the environment and animal welfare," Food Policy, Elsevier, vol. 97(C).
    7. Maurizio Canavari & Silvia Coderoni, 2020. "Consumer stated preferences for dairy products with carbon footprint labels in Italy," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 8(1), pages 1-16, December.
    8. Markus Eberhardt, 2012. "Estimating panel time-series models with heterogeneous slopes," Stata Journal, StataCorp LLC, vol. 12(1), pages 61-71, March.
    9. York, Richard & Gossard, Marcia Hill, 2004. "Cross-national meat and fish consumption: exploring the effects of modernization and ecological context," Ecological Economics, Elsevier, vol. 48(3), pages 293-302, March.
    10. Joakim Westerlund, 2005. "New Simple Tests for Panel Cointegration," Econometric Reviews, Taylor & Francis Journals, vol. 24(3), pages 297-316.
    11. David Tilman & Michael Clark, 2014. "Global diets link environmental sustainability and human health," Nature, Nature, vol. 515(7528), pages 518-522, November.
    12. Bazoche, Pascale & Guinet, Nicolas & Poret, Sylvaine & Teyssier, Sabrina, 2023. "Does the provision of information increase the substitution of animal proteins with plant-based proteins? An experimental investigation into consumer choices," Food Policy, Elsevier, vol. 116(C).
    13. Chantal Le Mouël & Anna Birgit Milford & Benjamin L. Bodirsky & Susanne Rolinski, 2019. "Drivers of meat consumption," Post-Print hal-02175593, HAL.
    14. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    15. Francis Teal & Markus Eberhardt, 2010. "Productivity Analysis in Global Manufacturing Production," Economics Series Working Papers 515, University of Oxford, Department of Economics.
    16. Eberhardt, Markus & Teal, Francis, 2008. "Modeling technology and technological change in manufacturing: how do countries differ?," MPRA Paper 10690, University Library of Munich, Germany.
    17. Mauro Costantini & Claudio Lupi, 2013. "A Simple Panel-CADF Test for Unit Roots," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(2), pages 276-296, April.
    18. Vania Andreoli & Marco Bagliani & Alessandro Corsi & Vito Frontuto, 2021. "Drivers of Protein Consumption: A Cross-Country Analysis," Sustainability, MDPI, vol. 13(13), pages 1-19, July.
    19. Maurizio Cellura & Maria Anna Cusenza & Sonia Longo & Le Quyen Luu & Thomas Skurk, 2022. "Life Cycle Environmental Impacts and Health Effects of Protein-Rich Food as Meat Alternatives: A Review," Sustainability, MDPI, vol. 14(2), pages 1-25, January.
    20. Roger Perman & David I. Stern, 2003. "Evidence from panel unit root and cointegration tests that the Environmental Kuznets Curve does not exist," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 47(3), pages 325-347, September.
    21. Edenbrandt, Anna Kristina & Lagerkvist, Carl-Johan, 2021. "Is food labelling effective in reducing climate impact by encouraging the substitution of protein sources?," Food Policy, Elsevier, vol. 101(C).
    22. repec:bla:obuest:v:61:y:1999:i:0:p:653-70 is not listed on IDEAS
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