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Optimal economic restructuring to reduce carbon emissions intensity using the projected gradient algorithm

Author

Listed:
  • Canh Q. Le

    (National Economics University)

  • Hoang-Mai T. Bui

    (National Economics University)

Abstract

This paper proposes the projected gradient algorithm to find a solution that allows economic restructuring to minimize carbon emission intensity and not hinder targeted economic growth. It develops a general formula to calculate how much each sector should change its share in gross domestic products and its emission intensity such that the economy can have a lower aggregate emission intensity without hindering economic growth. Used data for 30 nations during 1997–2009, the study indicates that if a country follows this proposed optimal restructuring solution, it experiences a lower carbon emission intensity than its initial scenario. This solution is helpful to (1) find the optimal direction and quantitative solutions of a low emission economic structure; (2) continuously check and quantify the differences between the optimal and actual directions of economic structuring for adjusting economic and environmental policies.

Suggested Citation

  • Canh Q. Le & Hoang-Mai T. Bui, 2022. "Optimal economic restructuring to reduce carbon emissions intensity using the projected gradient algorithm," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 6271-6287, May.
    • Handle: RePEc:spr:endesu:v:24:y:2022:i:5:d:10.1007_s10668-021-01701-9
    DOI: 10.1007/s10668-021-01701-9
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    References listed on IDEAS

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    1. Qian Wang & Weidong Li, 2015. "Impact of Industrial Structure on Carbon Emission in China: A Perspective from Economic Aggregation," Springer Books, in: Zhenji Zhang & Zuojun Max Shen & Juliang Zhang & Runtong Zhang (ed.), Liss 2014, edition 127, pages 883-889, Springer.
    2. Ang, B.W., 2015. "LMDI decomposition approach: A guide for implementation," Energy Policy, Elsevier, vol. 86(C), pages 233-238.
    3. Jonathan M. Harris, 2013. "Green Keynesianism: Beyond Standard Growth Paradigms," GDAE Working Papers 13-02, GDAE, Tufts University.
    4. Richard S. J. Tol, 2009. "The Economic Effects of Climate Change," Journal of Economic Perspectives, American Economic Association, vol. 23(2), pages 29-51, Spring.
    5. William Brock & M. Taylor, 2010. "The Green Solow model," Journal of Economic Growth, Springer, vol. 15(2), pages 127-153, June.
    6. Gene M. Grossman & Alan B. Krueger, 1995. "Economic Growth and the Environment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 353-377.
    7. Alexander Vaninsky, 2018. "Optimal environment-friendly economic restructuring: the United States–China cooperation case study," Economic Change and Restructuring, Springer, vol. 51(3), pages 189-220, August.
    8. Lozano, Sebastián & Gutiérrez, Ester, 2008. "Non-parametric frontier approach to modelling the relationships among population, GDP, energy consumption and CO2 emissions," Ecological Economics, Elsevier, vol. 66(4), pages 687-699, July.
    9. Lin, Boqiang & Liu, Xia, 2012. "Dilemma between economic development and energy conservation: Energy rebound effect in China," Energy, Elsevier, vol. 45(1), pages 867-873.
    10. Dhakal, Shobhakar, 2009. "Urban energy use and carbon emissions from cities in China and policy implications," Energy Policy, Elsevier, vol. 37(11), pages 4208-4219, November.
    11. World Bank, 2012. "Inclusive Green Growth : The Pathway to Sustainable Development," World Bank Publications - Books, The World Bank Group, number 6058.
    12. Oliveira, Carla & Antunes, Carlos Henggeler, 2004. "A multiple objective model to deal with economy-energy-environment interactions," European Journal of Operational Research, Elsevier, vol. 153(2), pages 370-385, March.
    13. Rutger Hoekstra & Jeroen van den Bergh, 2002. "Structural Decomposition Analysis of Physical Flows in the Economy," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(3), pages 357-378, November.
    14. repec:bla:scandj:v:94:y:1992:i:1:p:53-69 is not listed on IDEAS
    15. Leontief, Wassily, 1970. "Environmental Repercussions and the Economic Structure: An Input-Output Approach," The Review of Economics and Statistics, MIT Press, vol. 52(3), pages 262-271, August.
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    More about this item

    Keywords

    Carbon emission intensity; Economic growth; Optimal economic structuring; Projected gradient method;
    All these keywords.

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • O44 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Environment and Growth

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