IDEAS home Printed from https://ideas.repec.org/p/fau/wpaper/wp2022_23.html
   My bibliography  Save this paper

Income Elasticity for Animal-Based Protein and Food Supply

Author

Listed:
  • Diana Kmetkova

    (Institute of Economic Studies, Faculty of Social Sciences, Charles University, Prague, Czech Republic)

  • Milas Scasny

    (Institute of Economic Studies, Faculty of Social Sciences, Charles University, Prague, Czech Republic)

Abstract

Dietary choices are one of the main causes of mortality and environmental degradation. Plant-based diets, in comparison to diets rich in animal products, are considered to be more sustainable because they use fewer natural resources and come with a lower environmental burden, resulting in lower greenhouse gas emissions in particular. However, the rapid increase in global population and wealth has led to an increased demand for foods of animal origin. Getting enough protein might be one of the reasons people consume animal products but its increased consumption could negatively impact our health and environment. Hence, the aim of this paper is to examine the economic and sociodemographic factors that influence the amount and the share of animal food intake as well as the amount and the share of animal-based protein in the worldwide diet. An econometric analysis of country-level panel data allows us to investigate the Environmental Kuznets Curve hypothesis in the context of a sustainable diet. The findings suggest that the relationship between GDP per capita and animal-based food and protein supply resembles an inverted U-shaped curve. In the global analysis, the turning point is estimated to be around $81,500 in relation to both the share of animal food supply and the share of animal proteins. The resulting income elasticity shows to be inelastic across the domain, however, the specific values vary depending on the country´s level of GDP. The elasticity is positive for low- to middle-income countries with its maximum of 0.29; and it becomes negative once a country reaches a GDP level of about $77,000-$81,000.

Suggested Citation

  • Diana Kmetkova & Milas Scasny, 2022. "Income Elasticity for Animal-Based Protein and Food Supply," Working Papers IES 2022/23, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2022.
  • Handle: RePEc:fau:wpaper:wp2022_23
    as

    Download full text from publisher

    File URL: https://ies.fsv.cuni.cz/en/veda-vyzkum/working-papers/6667
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stern, David I., 2004. "The Rise and Fall of the Environmental Kuznets Curve," World Development, Elsevier, vol. 32(8), pages 1419-1439, August.
    2. Grossman, G.M & Krueger, A.B., 1991. "Environmental Impacts of a North American Free Trade Agreement," Papers 158, Princeton, Woodrow Wilson School - Public and International Affairs.
    3. Selden Thomas M. & Song Daqing, 1994. "Environmental Quality and Development: Is There a Kuznets Curve for Air Pollution Emissions?," Journal of Environmental Economics and Management, Elsevier, vol. 27(2), pages 147-162, September.
    4. Yi-Bin Chiu, 2012. "Deforestation and the Environmental Kuznets Curve in Developing Countries: A Panel Smooth Transition Regression Approach," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 60(2), pages 177-194, June.
    5. Panayotou, Theodore, 1997. "Demystifying the environmental Kuznets curve: turning a black box into a policy tool," Environment and Development Economics, Cambridge University Press, vol. 2(4), pages 465-484, November.
    6. Mills, Julianne H. & Waite, Thomas A., 2009. "Economic prosperity, biodiversity conservation, and the environmental Kuznets curve," Ecological Economics, Elsevier, vol. 68(7), pages 2087-2095, May.
    7. Shafik, Nemat, 1994. "Economic Development and Environmental Quality: An Econometric Analysis," Oxford Economic Papers, Oxford University Press, vol. 46(0), pages 757-773, Supplemen.
    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. Roxana Pincheira & Felipe Zuniga, 2021. "Environmental Kuznets curve bibliographic map: a systematic literature review," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(S1), pages 1931-1956, April.
    2. Sabuj Kumar Mandal & Devleena Chakravarty, 2017. "Role of energy in estimating turning point of Environmental Kuznets Curve: an econometric analysis of the existing studies," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 19(2), pages 387-401, October.
    3. Stern, David I., 2014. "The Environmental Kuznets Curve: A Primer," Working Papers 249424, Australian National University, Centre for Climate Economics & Policy.
    4. Amos, Sanday & Zoundi, Zakaria, 2019. "A Regime Switching Analysis of the Income-Pollution Path with time Varying- Elasticities in a Heterogeneous Panel of Countries," MPRA Paper 99577, University Library of Munich, Germany.
    5. Bilgili, Faik & Koçak, Emrah & Bulut, Ümit, 2016. "The dynamic impact of renewable energy consumption on CO2 emissions: A revisited Environmental Kuznets Curve approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 838-845.
    6. Tamazian, Artur & Chousa, Juan Piñeiro & Vadlamannati, Krishna Chaitanya, 2009. "Does higher economic and financial development lead to environmental degradation: Evidence from BRIC countries," Energy Policy, Elsevier, vol. 37(1), pages 246-253, January.
    7. Shahbaz, Muhammad & Balsalobre, Daniel & Shahzad, Syed Jawad Hussain, 2018. "The Influencing Factors of CO2 Emissions and the Role of Biomass Energy Consumption: Statistical Experience from G-7 Countries," MPRA Paper 87456, University Library of Munich, Germany, revised 14 Jun 2018.
    8. Richard T. Carson, 2010. "The Environmental Kuznets Curve: Seeking Empirical Regularity and Theoretical Structure," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 4(1), pages 3-23, Winter.
    9. David I. Stern, 2017. "The environmental Kuznets curve after 25 years," Journal of Bioeconomics, Springer, vol. 19(1), pages 7-28, April.
    10. Granda, Catalina & Pérez, Luis Guillermo & Munoz, Juan Carlos, 2008. "The Environmental Kuznets Curve for Water Quality: An Analysis of its Appropriateness Using Unit Root and Cointegration Tests," Revista Lecturas de Economía, Universidad de Antioquia, CIE, November.
    11. Le Hoang Phong & Dang Thi Bach Van & Ho Hoang Gia Bao, 2018. "The Role of Globalization on CO2 Emission in Vietnam Incorporating Industrialization, Urbanization, GDP per Capita and Energy Use," International Journal of Energy Economics and Policy, Econjournals, vol. 8(6), pages 275-283.
    12. Xiaosheng Li & Xia Yan & Qingxian An & Ke Chen & Zhen Shen, 2016. "The coordination between China’s economic growth and environmental emission from the Environmental Kuznets Curve viewpoint," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 83(1), pages 233-252, August.
    13. Danesh Miah, Md. & Farhad Hossain Masum, Md. & Koike, Masao, 2010. "Global observation of EKC hypothesis for CO2, SOx and NOx emission: A policy understanding for climate change mitigation in Bangladesh," Energy Policy, Elsevier, vol. 38(8), pages 4643-4651, August.
    14. Iftikhar Yasin & Nawaz Ahmad & M. Aslam Chaudhary, 2020. "Catechizing the Environmental-Impression of Urbanization, Financial Development, and Political Institutions: A Circumstance of Ecological Footprints in 110 Developed and Less-Developed Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(2), pages 621-649, January.
    15. Mikkel Bennedsen & Eric Hillebrand & Sebastian Jensen, 2022. "A Neural Network Approach to the Environmental Kuznets Curve," CREATES Research Papers 2022-09, Department of Economics and Business Economics, Aarhus University.
    16. Nyakundi M. Michieka & John Deal & Kyle Lahman, 2022. "Air pollution and income inequality: a spatial econometric approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(1), pages 1-31, August.
    17. He, Jie & Wang, Hua, 2012. "Economic structure, development policy and environmental quality: An empirical analysis of environmental Kuznets curves with Chinese municipal data," Ecological Economics, Elsevier, vol. 76(C), pages 49-59.
    18. Onafowora, Olugbenga A. & Owoye, Oluwole, 2014. "Bounds testing approach to analysis of the environment Kuznets curve hypothesis," Energy Economics, Elsevier, vol. 44(C), pages 47-62.
    19. Ge, Xiaodong & Li, Yaoguang & Luloff, Albert E. & Dong, Kaikai & Xiao, Jun, 2015. "Effect of agricultural economic growth on sandy desertification in Horqin Sandy Land," Ecological Economics, Elsevier, vol. 119(C), pages 53-63.
    20. Saboori, Behnaz & Sulaiman, Jamalludin & Mohd, Saidatulakmal, 2012. "Economic growth and CO2 emissions in Malaysia: A cointegration analysis of the Environmental Kuznets Curve," Energy Policy, Elsevier, vol. 51(C), pages 184-191.

    More about this item

    Keywords

    GDP; Environmental Kuznets curve; animal consumption; animal protein; healthy and sustainable diet; panel data analysis;
    All these keywords.

    JEL classification:

    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:fau:wpaper:wp2022_23. 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: Natalie Svarcova (email available below). General contact details of provider: https://edirc.repec.org/data/icunicz.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.