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World energy intensity revisited: a cluster analysis

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  • Yihua Yu
  • Yonghui Zhang
  • Feng Song

Abstract

The aim of this article is to empirically identify convergence clubs in energy intensity among 109 countries from 1971 to 2010 by using a recently developed methodology, i.e., a new regression-based convergence test, introduced by Phillips and Sul (2007). This log t test allows us to endogenously identify the groups of countries that converge to different equilibriums and those that do not converge to any convergence clubs. We mainly find that, first, world countries do not seem to converge at the same steady-state level; instead, they form four separate clubs converging to their own steady-state paths and few countries are found to converge to no group at all. In addition, although the world as a whole shows the evidence of convergence, economic and geographic groups seem to converge at different speeds. Last, estimates from an ordered-logit model reveal that initial energy intensity level and openness are mainly responsible for the formation of the world convergence clubs, whereas industry share and R&D share are not.

Suggested Citation

  • Yihua Yu & Yonghui Zhang & Feng Song, 2015. "World energy intensity revisited: a cluster analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 22(14), pages 1158-1169, September.
  • Handle: RePEc:taf:apeclt:v:22:y:2015:i:14:p:1158-1169
    DOI: 10.1080/13504851.2015.1013603
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    Cited by:

    1. Soto, Gonzalo Hernández, 2024. "The role of outward foreign direct investment as a filter for high energy intensity economies in the European Union," Applied Energy, Elsevier, vol. 361(C).
    2. Bagchi, Prantik & Sahu, Santosh Kumar & Kumar, Ajay & Tan, Kim Hua, 2022. "Analysis of carbon productivity for firms in the manufacturing sector of India," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    3. Song, Yang & Liu, Dayu & Wang, Qiaoru, 2021. "Identifying characteristic changes in club convergence of China's urban pollution emission: A spatial-temporal feature analysis," Energy Economics, Elsevier, vol. 98(C).
    4. Ivanovski, Kris & Awaworyi Churchill, Sefa & Smyth, Russell, 2018. "A club convergence analysis of per capita energy consumption across Australian regions and sectors," Energy Economics, Elsevier, vol. 76(C), pages 519-531.
    5. González-Álvarez, María A. & Montañés, Antonio & Olmos, Lorena, 2020. "Towards a sustainable energy scenario? A worldwide analysis," Energy Economics, Elsevier, vol. 87(C).
    6. Niyati Bhanja & Arif Billah Dar & Aviral Kumar Tiwari, 2018. "Do Global Crude Oil Markets Behave as One Great Pool? A Cyclical Analysis," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(2), pages 219-241, November.
    7. Bhattacharya, Mita & Inekwe, John N. & Sadorsky, Perry, 2020. "Convergence of energy productivity in Australian states and territories: Determinants and forecasts," Energy Economics, Elsevier, vol. 85(C).
    8. Eleni Zafeiriou & Konstantinos Spinthiropoulos & Constantinos Tsanaktsidis & Stavros Garefalakis & Konstantinos Panitsidis & Alexandros Garefalakis & Garyfallos Arabatzis, 2022. "Energy and Mineral Resources Exploitation in the Delignitization Era: The Case of Greek Peripheries," Energies, MDPI, vol. 15(13), pages 1-20, June.
    9. Bhattacharya, Mita & Inekwe, John Nkwoma & Sadorsky, Perry & Saha, Anjan, 2018. "Convergence of energy productivity across Indian states and territories," Energy Economics, Elsevier, vol. 74(C), pages 427-440.
    10. Neagu Olimpia, 2020. "Real Wage Convergence in Romania: Empirical Evidence Based on Club Converging," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 30(3), pages 108-117, September.
    11. Santiago, Renato & Fuinhas, José Alberto & Marques, António Cardoso, 2020. "An analysis of the energy intensity of Latin American and Caribbean countries: Empirical evidence on the role of public and private capital stock," Energy, Elsevier, vol. 211(C).
    12. Parker, Steven & Liddle, Brant, 2017. "Analysing energy productivity dynamics in the OECD manufacturing sector," Energy Economics, Elsevier, vol. 67(C), pages 91-97.
    13. Jianhuan Huang & Yantuan Yu & Chunbo Ma, 2018. "Energy Efficiency Convergence in China: Catch-Up, Lock-In and Regulatory Uniformity," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 70(1), pages 107-130, May.
    14. Anna Komarova, 2022. "State Regulation of Energy Transition and Economic Development," Energies, MDPI, vol. 15(12), pages 1-13, June.
    15. Guang, Fengtao & He, Yongxiu & Wen, Le & Sharp, Basil, 2019. "Energy intensity and its differences across China’s regions: Combining econometric and decomposition analysis," Energy, Elsevier, vol. 180(C), pages 989-1000.
    16. Taştan, Hüseyin & Yıldız, Hakan, 2023. "Club convergence analysis of city-level electricity consumption in Turkey," Energy, Elsevier, vol. 265(C).

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