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Nonparametric estimates of the clean and dirty energy substitutability

Author

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  • Malikov, Emir
  • Sun, Kai
  • Kumbhakar, Subal C.

Abstract

In growth theory, a greater-than-one elasticity of substitution between clean and dirty energy is among key necessary conditions for long-run green economic growth. Using parametric specifications, Papageorgiou et al. (2017) provide first estimates of this fundamentally important inter-energy substitution elasticity. We extend their work by relaxing restrictive functional-form assumptions about production technologies using flexible nonparametric methods. We find that the technological substitutability between clean and dirty energy inputs may not be that strong, especially in the case of a final-goods sector for which the inter-energy elasticity of substitution statistically exceeds one for at most a third of industries/countries. Hence, the favorability of technological conditions for long-run green growth may not be corroborated by the cross-country empirical evidence as strongly as previously thought.

Suggested Citation

  • Malikov, Emir & Sun, Kai & Kumbhakar, Subal C., 2018. "Nonparametric estimates of the clean and dirty energy substitutability," Economics Letters, Elsevier, vol. 168(C), pages 118-122.
  • Handle: RePEc:eee:ecolet:v:168:y:2018:i:c:p:118-122
    DOI: 10.1016/j.econlet.2018.04.017
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    References listed on IDEAS

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    1. Racine, Jeff & Li, Qi, 2004. "Nonparametric estimation of regression functions with both categorical and continuous data," Journal of Econometrics, Elsevier, vol. 119(1), pages 99-130, March.
    2. J.J. Heckman & E.E. Leamer (ed.), 2001. "Handbook of Econometrics," Handbook of Econometrics, Elsevier, edition 1, volume 5, number 5.
    3. Chris Papageorgiou & Marianne Saam & Patrick Schulte, 2017. "Substitution between Clean and Dirty Energy Inputs: A Macroeconomic Perspective," The Review of Economics and Statistics, MIT Press, vol. 99(2), pages 281-290, May.
    4. Daron Acemoglu & Philippe Aghion & Leonardo Bursztyn & David Hemous, 2012. "The Environment and Directed Technical Change," American Economic Review, American Economic Association, vol. 102(1), pages 131-166, February.
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    Cited by:

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    2. Francesca Rubiconto, 2023. "Is environmental innovation the key to addressing the dual economic and sustainability challenge of the Italian economy?," Journal of Evolutionary Economics, Springer, vol. 33(3), pages 869-892, July.
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    4. Fitawek, Wegayehu & Hendriks, Sheryl L., 2023. "The role of contract farming on household food security in Kenya and Madagascar," 2023 Seventh AAAE/60th AEASA Conference, September 18-21, 2023, Durban, South Africa 365943, African Association of Agricultural Economists (AAAE).
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    7. Wonder Agbenyo & Yuansheng Jiang & Xinxin Jia & Jingyi Wang & Gideon Ntim-Amo & Rahman Dunya & Anthony Siaw & Isaac Asare & Martinson Ankrah Twumasi, 2022. "Does the Adoption of Climate-Smart Agricultural Practices Impact Farmers’ Income? Evidence from Ghana," IJERPH, MDPI, vol. 19(7), pages 1-25, March.
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    Keywords

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    JEL classification:

    • O44 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Environment and Growth
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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