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Energy, renewable and technical efficiency convergence: a global evidence

Author

Listed:
  • Eirini Stergiou

    (University of Patras)

  • Nikos Rigas

    (University of Patras)

  • Eftychia Zaroutieri

    (University of Patras)

  • Konstantinos Kounetas

    (University of Patras)

Abstract

Efficient energy consumption has become a top priority for countries in combating climate change while the contribution of renewable energy in the production process has increased over the recent decades. In this sense, the improvement of energy efficiency and promotion of renewable technologies without deteriorating economic performance are in the spotlight of policymakers. The aim of this study is to evaluate the energy, renewable and technical efficiency of 126 countries worldwide for the period 1990–2013. The total factor energy and renewable energy efficiency indices are estimated by applying the directional distance function (DDF). The incorporation of emissions as an undesirable output of the production process can actually eliminate any bias from the efficiency scores. The empirical results indicate that even though technical efficiency is low, both renewable and energy efficiency present high scores. Moreover, efficiency fluctuations are evident when income and continent classifications are employed. At the second stage, we further proceed with a convergence analysis for the corresponding efficiency measures. In order to become more efficient, countries should adapt their energy policies and technologies in accordance to other countries belonging to their convergence clubs.

Suggested Citation

  • Eirini Stergiou & Nikos Rigas & Eftychia Zaroutieri & Konstantinos Kounetas, 2023. "Energy, renewable and technical efficiency convergence: a global evidence," Economic Change and Restructuring, Springer, vol. 56(3), pages 1601-1628, June.
  • Handle: RePEc:kap:ecopln:v:56:y:2023:i:3:d:10.1007_s10644-022-09479-0
    DOI: 10.1007/s10644-022-09479-0
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    as
    1. Elias Soukiazis, Sara Proenca, and Pedro A. Cerqueira, 2019. "The Interconnections between Renewable Energy, Economic Development and Environmental Pollution: A Simultaneous Equation System Approach," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    2. Stern, David I., 2012. "Modeling international trends in energy efficiency," Energy Economics, Elsevier, vol. 34(6), pages 2200-2208.
    3. Kounetas, Konstantinos Elias, 2018. "Energy consumption and CO2 emissions convergence in European Union member countries. A tonneau des Danaides?," Energy Economics, Elsevier, vol. 69(C), pages 111-127.
    4. Camarero, Mariam & Picazo-Tadeo, Andrés J. & Tamarit, Cecilio, 2013. "Are the determinants of CO2 emissions converging among OECD countries?," Economics Letters, Elsevier, vol. 118(1), pages 159-162.
    5. Romero-Ávila, Diego, 2008. "Convergence in carbon dioxide emissions among industrialised countries revisited," Energy Economics, Elsevier, vol. 30(5), pages 2265-2282, September.
    6. Halkos, George & Tzeremes, Nickolaos, 2013. "Renewable energy consumption and economic efficiency: Evidence from European countries," MPRA Paper 44136, University Library of Munich, Germany.
    7. Boyd, Gale A. & Pang, Joseph X., 2000. "Estimating the linkage between energy efficiency and productivity," Energy Policy, Elsevier, vol. 28(5), pages 289-296, May.
    8. Wang, Zhaohua & Feng, Chao & Zhang, Bin, 2014. "An empirical analysis of China's energy efficiency from both static and dynamic perspectives," Energy, Elsevier, vol. 74(C), pages 322-330.
    9. Dale W. Jorgenson, 1984. "The Role of Energy in Productivity Growth," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 11-26.
    10. Picazo-Tadeo, Andres J. & Reig-Martinez, Ernest & Hernandez-Sancho, Francesc, 2005. "Directional distance functions and environmental regulation," Resource and Energy Economics, Elsevier, vol. 27(2), pages 131-142, June.
    11. Falavigna, Greta & Ippoliti, Roberto & Manello, Alessandro & Ramello, Giovanni B., 2015. "Judicial productivity, delay and efficiency: A Directional Distance Function (DDF) approach," European Journal of Operational Research, Elsevier, vol. 240(2), pages 592-601.
    12. Watanabe, Michio & Tanaka, Katsuya, 2007. "Efficiency analysis of Chinese industry: A directional distance function approach," Energy Policy, Elsevier, vol. 35(12), pages 6323-6331, December.
    13. Honma, Satoshi & Hu, Jin-Li, 2008. "Total-factor energy efficiency of regions in Japan," Energy Policy, Elsevier, vol. 36(2), pages 821-833, February.
    14. Duro, Juan Antonio & Alcántara, Vicent & Padilla, Emilio, 2010. "International inequality in energy intensity levels and the role of production composition and energy efficiency: An analysis of OECD countries," Ecological Economics, Elsevier, vol. 69(12), pages 2468-2474, October.
    15. Mulder, Peter & de Groot, Henri L.F. & Pfeiffer, Birte, 2014. "Dynamics and determinants of energy intensity in the service sector: A cross-country analysis, 1980–2005," Ecological Economics, Elsevier, vol. 100(C), pages 1-15.
    16. Diego Comin & Bart Hobijn, 2010. "An Exploration of Technology Diffusion," American Economic Review, American Economic Association, vol. 100(5), pages 2031-2059, December.
    17. Sam H. Schurr, 1982. "Energy Efficiency and Productive Efficiency: Some Thoughts Based on American Experience," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 3-14.
    18. Zhang, Xing-Ping & Cheng, Xiao-Mei & Yuan, Jia-Hai & Gao, Xiao-Jun, 2011. "Total-factor energy efficiency in developing countries," Energy Policy, Elsevier, vol. 39(2), pages 644-650, February.
    19. Chambers, Robert G. & Fare, Rolf & Grosskopf, Shawna, 1996. "Productivity Growth in APEC Countries," Working Papers 197843, University of Maryland, Department of Agricultural and Resource Economics.
    20. Mahlberg, Bernhard & Sahoo, Biresh K., 2011. "Radial and non-radial decompositions of Luenberger productivity indicator with an illustrative application," International Journal of Production Economics, Elsevier, vol. 131(2), pages 721-726, June.
    21. Nilsson, Lars J., 1993. "Energy intensity trends in 31 industrial and developing countries 1950–1988," Energy, Elsevier, vol. 18(4), pages 309-322.
    22. Dale W. Jorgenson, 1996. "Technology in growth theory," Conference Series ; [Proceedings], Federal Reserve Bank of Boston, vol. 40(Jun), pages 45-89.
    23. Diego A. Comin & Martí Mestieri, 2010. "An Intensive Exploration of Technology Diffusion," NBER Working Papers 16379, National Bureau of Economic Research, Inc.
    24. Ghisetti, Claudia & Quatraro, Francesco, 2017. "Green Technologies and Environmental Productivity: A Cross-sectoral Analysis of Direct and Indirect Effects in Italian Regions," Ecological Economics, Elsevier, vol. 132(C), pages 1-13.
    25. Oh, Dong-hyun, 2010. "A metafrontier approach for measuring an environmentally sensitive productivity growth index," Energy Economics, Elsevier, vol. 32(1), pages 146-157, January.
    26. Wu, Haitao & Hao, Yu & Ren, Siyu, 2020. "How do environmental regulation and environmental decentralization affect green total factor energy efficiency: Evidence from China," Energy Economics, Elsevier, vol. 91(C).
    27. Peter C. B. Phillips & Donggyu Sul, 2003. "Dynamic panel estimation and homogeneity testing under cross section dependence *," Econometrics Journal, Royal Economic Society, vol. 6(1), pages 217-259, June.
    28. Wang, Qiang & Li, Shuyu & Pisarenko, Zhanna, 2020. "Heterogeneous effects of energy efficiency, oil price, environmental pressure, R&D investment, and policy on renewable energy -- evidence from the G20 countries," Energy, Elsevier, vol. 209(C).
    29. Hu, Jin-Li & Wang, Shih-Chuan, 2006. "Total-factor energy efficiency of regions in China," Energy Policy, Elsevier, vol. 34(17), pages 3206-3217, November.
    30. 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.
    31. Chen, Weidong & Geng, Wenxin, 2017. "Fossil energy saving and CO2 emissions reduction performance, and dynamic change in performance considering renewable energy input," Energy, Elsevier, vol. 120(C), pages 283-292.
    32. Patterson, Murray G, 1996. "What is energy efficiency? : Concepts, indicators and methodological issues," Energy Policy, Elsevier, vol. 24(5), pages 377-390, May.
    33. Costantini, Valeria & Mazzanti, Massimiliano & Montini, Anna, 2013. "Environmental performance, innovation and spillovers. Evidence from a regional NAMEA," Ecological Economics, Elsevier, vol. 89(C), pages 101-114.
    34. Chatzistamoulou, Nikos & Kounetas, Kostas & Tsekouras, Kostas, 2019. "Energy efficiency, productive performance and heterogeneous competitiveness regimes. Does the dichotomy matter?," Energy Economics, Elsevier, vol. 81(C), pages 687-697.
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    More about this item

    Keywords

    Technical efficiency; Energy efficiency; Renewable energy efficiency; Convergence; Undesirable outputs; Directional distance function;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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