IDEAS home Printed from https://ideas.repec.org/a/ags/aieabj/361317.html

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/361317/files/W00119_19-35_02-16172-Frontuto.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Eberhardt, Markus & Teal, Francis, 2008. "Modeling technology and technological change in manufacturing: how do countries differ?," MPRA Paper 10690, University Library of Munich, Germany.
    2. 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.
    3. 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.
    4. 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.
    5. 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).
    6. Markus Eberhardt, 2012. "Estimating panel time-series models with heterogeneous slopes," Stata Journal, StataCorp LLC, vol. 12(1), pages 61-71, March.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Joakim Westerlund, 2005. "New Simple Tests for Panel Cointegration," Econometric Reviews, Taylor & Francis Journals, vol. 24(3), pages 297-316.
    13. David Tilman & Michael Clark, 2014. "Global diets link environmental sustainability and human health," Nature, Nature, vol. 515(7528), pages 518-522, November.
    14. 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).
    15. Gene M. Grossman & Alan B. Krueger, 1991. "Environmental Impacts of a North American Free Trade Agreement," NBER Working Papers 3914, National Bureau of Economic Research, Inc.
    16. Lakdawalla, Darius & Philipson, Tomas, 2009. "The growth of obesity and technological change," Economics & Human Biology, Elsevier, vol. 7(3), pages 283-293, December.
    17. 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).
    18. 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.
    19. repec:bla:obuest:v:61:y:1999:i:0:p:653-70 is not listed on IDEAS
    20. Chantal Le Mouël & Anna Birgit Milford & Benjamin L. Bodirsky & Susanne Rolinski, 2019. "Drivers of meat consumption," Post-Print hal-02175593, HAL.
    21. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    22. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Frontuto, Vito & Felici, Tommaso & Dalmazzone, Silvana & Falsetti, Benedetta & Ignaccolo, Rosaria & Laio, Francesco & Bagliani, Marco Maria, 2025. "Unsustainable global freshwater consumption driven by economic growth," World Development, Elsevier, vol. 196(C).
    2. Bartosz Jóźwik & Antonina-Victoria Gavryshkiv & Kinga Galewska, 2022. "Do Urbanization and Energy Consumption Change the Role in Environmental Degradation in the European Union Countries?," Energies, MDPI, vol. 15(17), pages 1-14, September.
    3. Lazăr, Dorina & Minea, Alexandru & Purcel, Alexandra-Anca, 2019. "Pollution and economic growth: Evidence from Central and Eastern European countries," Energy Economics, Elsevier, vol. 81(C), pages 1121-1131.
    4. Adolfo Maza & Paula Gutiérrez-Portilla, 2022. "Outward FDI and exports relation: A heterogeneous panel approach dealing with cross-sectional dependence," International Economics, CEPII research center, issue 170, pages 174-189.
    5. Ozcan, Burcu, 2013. "The nexus between carbon emissions, energy consumption and economic growth in Middle East countries: A panel data analysis," Energy Policy, Elsevier, vol. 62(C), pages 1138-1147.
    6. Silvia Fedeli, 2015. "The Impact of GDP on Health Care Expenditure: The Case of Italy (1982–2009)," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 122(2), pages 347-370, June.
    7. Skare, Marinko & Ozturk, Ilhan & Porada-Rochoń, Małgorzata & Stjepanovic, Sasa, 2024. "Energy as the new frontier: Dynamic panel data analysis revealing energy's transformative role in economic growth and technological progress," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    8. Caravaggio, Nicola, 2020. "A global empirical re-assessment of the Environmental Kuznets curve for deforestation," Forest Policy and Economics, Elsevier, vol. 119(C).
    9. Prakash, Navendu, 2025. "Income disparities and environmental dynamics: Exploring varied impacts of renewable energy, innovations, and economic growth on CO2 emissions," Renewable Energy, Elsevier, vol. 243(C).
    10. Robert Becker Pickson & Elliot Boateng & Peng Gui & Ai Chen, 2024. "The impacts of climatic conditions on cereal production: implications for food security in Africa," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 18333-18360, July.
    11. Gillman, Max & Csabafi, Tamas Z. & Benk, Szilard & Matyas, Laszlo & Smith, Mitchell P. & Harris, Mark N., 2026. "Revisiting neoclassical growth theory: A primary role for inflation and capacity utilization," Economic Modelling, Elsevier, vol. 154(C).
    12. Mariarosaria Comunale & Markus Eller & Mathias Lahnsteiner, 2020. "Assessing credit gaps in CESEE based on levels justified by fundamentals – a comparison across different estimation approaches," Bank of Lithuania Working Paper Series 74, Bank of Lithuania.
    13. Li, Zhiyuan & Patel, Nikunj & Liu, Jiayang & Kautish, Pradeep, 2023. "Natural resources-environmental sustainability-socio-economic drivers nexus: Insights from panel quantile regression analysis," Resources Policy, Elsevier, vol. 86(PB).
    14. Usman, Muhammad & Makhdum, Muhammad Sohail Amjad, 2021. "What abates ecological footprint in BRICS-T region? Exploring the influence of renewable energy, non-renewable energy, agriculture, forest area and financial development," Renewable Energy, Elsevier, vol. 179(C), pages 12-28.
    15. Olivier Damette & Mathilde Maurel & Michael A. Stemmer, 2016. "What does it take to grow out of recession? An error-correction approach towards growth convergence of European and transition countries," Post-Print halshs-01318131, HAL.
    16. Guo, Xiuping & Meng, Xianglei & Luan, Qingfeng & Wang, Yanhua, 2023. "Trade openness, globalization, and natural resources management: The moderating role of economic complexity in newly industrialized countries," Resources Policy, Elsevier, vol. 85(PA).
    17. Claudien Habimana Simbi & Fengmei Yao & Jiahua Zhang, 2025. "Sustainable Development in Africa: A Comprehensive Analysis of GDP, CO 2 Emissions, and Socio-Economic Factors," Sustainability, MDPI, vol. 17(2), pages 1-22, January.
    18. Mariarosaria Comunale & Markus Eller & Mathias Lahnsteiner, 2020. "Assessing Credit Gaps in CESEE Based on Levels Justified by Fundamentals – A Comparison Across Different Estimation Approaches (Mariarosaria Comunale, Markus Eller, Mathias Lahnsteiner)," Working Papers 229, Oesterreichische Nationalbank (Austrian Central Bank).
    19. Alexandra-Anca Purcel, 2019. "Does Political Stability Hinder Pollution? Evidence From Developing States," Economic Research Guardian, Mutascu Publishing, vol. 9(2), pages 75-98, December.
    20. Zheng Fang & Bihong Huang & Zhuoxiang Yang, 2020. "Trade openness and the environmental Kuznets curve: Evidence from Chinese cities," The World Economy, Wiley Blackwell, vol. 43(10), pages 2622-2649, October.

    More about this item

    Keywords

    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:aieabj:361317. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aieaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.