IDEAS home Printed from https://ideas.repec.org/p/ags/pugtwp/332403.html
   My bibliography  Save this paper

Per-capita income, consumption patterns and CO2 emissions

Author

Listed:
  • Caron, Justin

Abstract

This paper investigates the importance of per-capita income and the sectoral composition of consumption as determinants for the level and evolution of carbon dioxide (CO2) emissions across countries. It is based on the model and estimation strategy in Caron, Fally and Markusen (2012) which allows the identification of the income elasticity of consumption by controlling for cross-country price differences which are inferred from bilateral trade flows. At the sector-level, we find a statistically significant negative correlation between income elasticity and the total CO2 intensity of production. At the country-level, the data exhibits an inverted-U relationship between per-capita income and the average CO2 content of both consumption and production. The relationship holds when evaluated using average production intensities and is thus partially generated by differences in consumption patterns. In turn, we find these differences to be explained by per-capita income levels. Importantly, the link is much weaker for the total CO2 content of consumption than for the direct content, as total energy demand is more income-elastic than direct household consumption. This finding implies a modest scope for per-capita income growth to reduce aggregate CO2 emission intensity purely through its impact on consumption shares. We estimate the elasticity of the average total CO2 content of worldwide consumption (which equals that of production) to per-capita income to be only -0.06, with, however, larger reductions in rich countries.

Suggested Citation

  • Caron, Justin, 2013. "Per-capita income, consumption patterns and CO2 emissions," Conference papers 332403, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
  • Handle: RePEc:ags:pugtwp:332403
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/332403/files/6411.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dai, Hancheng & Masui, Toshihiko & Matsuoka, Yuzuru & Fujimori, Shinichiro, 2012. "The impacts of China’s household consumption expenditure patterns on energy demand and carbon emissions towards 2050," Energy Policy, Elsevier, vol. 50(C), pages 736-750.
    2. Richard Schmalensee & Thomas M. Stoker & Ruth A. Judson, 1998. "World Carbon Dioxide Emissions: 1950-2050," The Review of Economics and Statistics, MIT Press, vol. 80(1), pages 15-27, February.
    3. Justin Caron & Thibault Fally & James R. Markusen, 2012. "Skill Premium and Trade Puzzles: a Solution Linking Production and Preferences," NBER Working Papers 18131, National Bureau of Economic Research, Inc.
    4. Peters, Glen P., 2008. "From production-based to consumption-based national emission inventories," Ecological Economics, Elsevier, vol. 65(1), pages 13-23, March.
    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. Justin Caron & Thibault Fally, 2022. "Per Capita Income, Consumption Patterns, and CO2 Emissions," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 9(2), pages 235-271.
    2. Goher-Ur-Rehman Mir & Servaas Storm, 2016. "Carbon Emissions and Economic Growth: Production-based versus Consumption-based Evidence on Decoupling," Working Papers Series 41, Institute for New Economic Thinking.
    3. Fernández-Amador, Octavio & Francois, Joseph & Oberdabernig, Doris & Tomberger, Patrick, 2018. "The methane footprint of nations: Evidence from global panel data," Papers 1102, World Trade Institute.
    4. Dong, Baomin & Wang, Fei & Guo, Yibei, 2016. "The global EKCs," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 210-221.
    5. Levitt, Clinton J. & Pedersen, Morten S. & Sørensen, Anders, 2015. "Examining the efforts of a small, open economy to reduce carbon emissions: The case of Denmark," Ecological Economics, Elsevier, vol. 119(C), pages 94-106.
    6. Nicole Grunewald & Inmaculada Martínez-Zarzoso, 2009. "Driving Factors of Carbon Dioxide Emissions and the Impact from Kyoto Protocol," Ibero America Institute for Econ. Research (IAI) Discussion Papers 190, Ibero-America Institute for Economic Research.
    7. Xinkuo Xu & Liyan Han, 2017. "Diverse Effects of Consumer Credit on Household Carbon Emissions at Quantiles: Evidence from Urban China," Sustainability, MDPI, vol. 9(9), pages 1-25, September.
    8. Zhu, Bangzhu & Su, Bin & Li, Yingzhu & Ng, Tsan Sheng, 2020. "Embodied energy and intensity in China’s (normal and processing) exports and their driving forces, 2005-2015," Energy Economics, Elsevier, vol. 91(C).
    9. Fabian Knorre & Martin Wagner & Maximilian Grupe, 2021. "Monitoring Cointegrating Polynomial Regressions: Theory and Application to the Environmental Kuznets Curves for Carbon and Sulfur Dioxide Emissions," Econometrics, MDPI, vol. 9(1), pages 1-35, March.
    10. de Haas, Ralph & Popov, A., 2018. "Financial Development and Industrial Pollution," Other publications TiSEM a0a4fb82-734a-442a-9ea1-a, Tilburg University, School of Economics and Management.
    11. Airebule, Palizha & Cheng, Haitao & Ishikawa, Jota, 2023. "Assessing carbon emissions embodied in international trade based on shared responsibility," Journal of the Japanese and International Economies, Elsevier, vol. 68(C).
    12. Dai, Hancheng & Mischke, Peggy & Xie, Xuxuan & Xie, Yang & Masui, Toshihiko, 2016. "Closing the gap? Top-down versus bottom-up projections of China’s regional energy use and CO2 emissions," Applied Energy, Elsevier, vol. 162(C), pages 1355-1373.
    13. He, Peijun & Ng, Tsan Sheng & Su, Bin, 2019. "Energy-economic resilience with multi-region input–output linear programming models," Energy Economics, Elsevier, vol. 84(C).
    14. Yanan Liu & Yixuan Gao & Yu Hao & Hua Liao, 2016. "The Relationship between Residential Electricity Consumption and Income: A Piecewise Linear Model with Panel Data," Energies, MDPI, vol. 9(10), pages 1-11, October.
    15. Pottier, Antonin, 2022. "Expenditure elasticity and income elasticity of GHG emissions: A survey of literature on household carbon footprint," Ecological Economics, Elsevier, vol. 192(C).
    16. B. Venkatraja, 2021. "Does China exhibit any evidence of an Environmental Kuznets Curve? An ARDL bounds testing approach," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 1, pages 88-110,111-.
    17. Gabriela Michalek & Reimund Schwarze, 2015. "Carbon leakage: pollution, trade or politics?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 17(6), pages 1471-1492, December.
    18. Soumyananda Dinda, 2018. "Production technology and carbon emission: long-run relation with short-run dynamics," Journal of Applied Economics, Taylor & Francis Journals, vol. 21(1), pages 106-121, January.
    19. Justin Caron & Thibault Fally & James Markusen, 2021. "Per capita income and the demand for skills," World Scientific Book Chapters, in: BROADENING TRADE THEORY Incorporating Market Realities into Traditional Models, chapter 12, pages 251-268, World Scientific Publishing Co. Pte. Ltd..
    20. Piñero, Pablo & Heikkinen, Mari & Mäenpää, Ilmo & Pongrácz, Eva, 2015. "Sector aggregation bias in environmentally extended input output modeling of raw material flows in Finland," Ecological Economics, Elsevier, vol. 119(C), pages 217-229.

    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:pugtwp:332403. 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/gtpurus.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.