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Total factor efficiency and convergence analysis of renewable energy in Latin American countries

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  • Zhang, Yu
  • Jin, Warren
  • Xu, Miao

Abstract

This paper analyzes renewable energy efficiency in Latin American countries (LAC) and investigates the efficiency convergence. Based on the data of the period 2005–2014, Super-efficient Slack-Based Measure (S–U-SBM) model is applied to measure the total factor efficiency of renewable energy, and Malmquist-Luenberger productivity index (ML) is applied to detect the changing trend of efficiency. The S–U-SBM results show that the average value of the total factor efficiency of renewable energy in LAC is 0.808 and has an upward trend, and for individual country, the efficiency value ranges from 0.262 to 1.302 with an unbalanced development and utilization of renewable energy. The ML results show that the average of the total factor efficiency of renewable energy change index is 1.014, and the technical efficiency change is the main factor that drives the growth of the ML in LAC. For two sub-regions, South America, Central-North America and Caribbean, the main factor is technological progress change and technological efficiency change respectively. There are significant conditional convergences in the total factor efficiency growth of renewable energy in the whole Latin American region and the two sub-regions. Technological innovation is the key for Latin American countries to improve the total factor efficiency of renewable energy at this stage.

Suggested Citation

  • Zhang, Yu & Jin, Warren & Xu, Miao, 2021. "Total factor efficiency and convergence analysis of renewable energy in Latin American countries," Renewable Energy, Elsevier, vol. 170(C), pages 785-795.
    • Handle: RePEc:eee:renene:v:170:y:2021:i:c:p:785-795
    DOI: 10.1016/j.renene.2021.02.016
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    Citations

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    Cited by:

    1. Yao Wang & Qiang Yang & Xuenan Wu & Ruichen Wang & Tilei Gao & Yuntong Liu, 2023. "A Study of Trends in Low-Energy Development Patterns in China: A Data-Driven Approach," Sustainability, MDPI, vol. 15(13), pages 1-18, June.
    2. Mateusz Jankiewicz, 2021. "The Convergence of Energy Use from Renewable Sources in the European Countries: Spatio-Temporal Approach," Energies, MDPI, vol. 14(24), pages 1-15, December.
    3. Ren, Xiaohang & Yang, Wanping & Jin, Yi, 2024. "Geopolitical risk and renewable energy consumption: Evidence from a spatial convergence perspective," Energy Economics, Elsevier, vol. 131(C).
    4. Mario Gómez & José Carlos Rodríguez, 2024. "Analysis of the Convergence of Environmental Sustainability and Its Main Determinants: The Case of the Americas (1990–2022)," Sustainability, MDPI, vol. 16(16), pages 1-21, August.
    5. Cuijie Lu & Gaopeng Jiang & Xintong Zhang & Pan Li & Jie Li, 2023. "Evaluation of Energy Utilization Efficiency in the Yangtze River Economic Belt," Sustainability, MDPI, vol. 15(2), pages 1-18, January.
    6. Wang, Yongpei & Yan, Qing, 2023. "Is cleaner more efficient? Exploring nonlinear impacts of renewable energy deployment on regional total factor energy efficiency," Renewable Energy, Elsevier, vol. 216(C).
    7. Pinar, Mehmet, 2024. "Convergence in renewable energy innovation and factors influencing convergence club formation," Renewable Energy, Elsevier, vol. 220(C).
    8. Wang, Xipan & Song, Junnian & Xing, Jiahao & Duan, Haiyan & Wang, Xian'en, 2022. "System nexus consolidates coupling of regional water and energy efficiencies," Energy, Elsevier, vol. 256(C).
    9. Peng, Hua-Rong & Tan, Xiujie & Managi, Shunsuke & Taghizadeh-Hesary, Farhad, 2022. "Club convergence in energy efficiency of Belt and Road Initiative countries: The role of China’s outward foreign direct investment," Energy Policy, Elsevier, vol. 168(C).

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