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Causality relationship between renewable and non-renewable energy consumption and GDP in Indonesia

Author

Listed:
  • Jauhary Arifin
  • Normansyah Syahruddin

Abstract

Recent contributions show that the world is facing serious problems with energy depletion as a result of the unbalanced availability between finite energy resources and population growth as well as industrial growth. The available amount of finite-based energy resources was predicted to last between 30-150 years (World Resource Institute 2007). Responding to that threat, an ever-expanding research has been conducted on energy consumption and renewable energy resources, leading to a large literature on this research area. Research on the causal relationship between energy consumption and GDP has been a well established topic in the energy economics literature, yet the topic still remains debatable (Dhungel 2008). In the case of Indonesian economy, some studies have shown different results on the casual relationships between energy consumption and GDP and are mainly focusing on non-renewable energy. This paper tests the causality relationship between renewable and non-renewable energy consumption and GDP in Indonesia by applying the Toda-Yamamoto procedure as well as the Engle-Granger procedure. Two proxies of renewable energy consumption are used in this study. Granger causality is found to run only from renewable electricity consumption per capita to GDP per capita. The last part of this paper discusses the policy implications from our findings

Suggested Citation

  • Jauhary Arifin & Normansyah Syahruddin, 2011. "Causality relationship between renewable and non-renewable energy consumption and GDP in Indonesia," Economics and Finance in Indonesia, Faculty of Economics and Business, University of Indonesia, vol. 59, pages 1-18, April.
    • Handle: RePEc:lpe:efijnl:201101
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    Citations

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    Cited by:

    1. Ibitoye J. Oyebanji & Hlalefang Khobai & Pierre Le Roux, 2019. "Green Growth Policies and Sustainable Economic Growth in South Africa: An Autoregressive Distributed Lag and Toda-Yamamoto Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 9(1), pages 184-193.
    2. Shahbaz, Muhammad & Loganathan, Nanthakumar & Zeshan, Mohammad & Zaman, Khalid, 2015. "Does renewable energy consumption add in economic growth? An application of auto-regressive distributed lag model in Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 576-585.
    3. Sinha, Avik & Shahbaz, Muhammad & Sengupta, Tuhin, 2018. "Renewable Energy Policies and Contradictions in Causality: A case of Next 11 Countries," MPRA Paper 87542, University Library of Munich, Germany, revised 17 Jun 2018.
    4. Wang, Liping, 2022. "Research on the dynamic relationship between China's renewable energy consumption and carbon emissions based on ARDL model," Resources Policy, Elsevier, vol. 77(C).
    5. Dogan, Eyup & Altinoz, Buket & Madaleno, Mara & Taskin, Dilvin, 2020. "The impact of renewable energy consumption to economic growth: A replication and extension of Inglesi-Lotz (2016)," Energy Economics, Elsevier, vol. 90(C).
    6. Panait, Mirela & Apostu, Simona Andreea & Vasile, Valentina & Vasile, Razvan, 2022. "Is energy efficiency a robust driver for the new normal development model? A Granger causality analysis," Energy Policy, Elsevier, vol. 169(C).
    7. Hela Borgi & Fatma Mabrouk & Jihen Bousrih & Mohamed Mehdi Mekni, 2023. "Environmental Change and Inclusive Finance: Does Governance Quality Matter for African Countries?," Sustainability, MDPI, vol. 15(4), pages 1-15, February.
    8. Xiao Dai & Jian Wu & Liang Yan & Qian Zhang & Fangli Ruan & Dan Wang, 2019. "Industrial Structure Restructuring, Production Factor Allocation Analysis: Based on a Mineral Resource-Intensive City—Jiaozuo City," Sustainability, MDPI, vol. 11(4), pages 1-19, February.
    9. Shahbaz, Muhammad, 2017. "Current Issues in Time-Series Analysis for the Energy-Growth Nexus; Asymmetries and Nonlinearities Case Study: Pakistan," MPRA Paper 82221, University Library of Munich, Germany, revised 19 Oct 2017.
    10. Muhammad, Shahbaz & Qazi, Muhammad Adnan Hye & Muhammad, Zeshan, 2012. "Is Renewable Energy Consumption Effective to Promote Economic Growth in Pakistan: Evidence from Bounds Testing and Rolling Window Approach," MPRA Paper 41608, University Library of Munich, Germany, revised 27 Sep 2012.
    11. Zafar, Muhammad Wasif & Shahbaz, Muhammad & Hou, Fujun & Sinha, Avik, 2018. "¬¬¬¬¬¬From Nonrenewable to Renewable Energy and Its Impact on Economic Growth: Silver Line of Research & Development Expenditures in APEC Countries," MPRA Paper 90611, University Library of Munich, Germany, revised 10 Dec 2018.
    12. Bakari, Sayef & Tiba, Sofien, 2021. "The impact of Combustible Renewables and Waste on Economic Growth and Environmental Quality in Tunisia," MPRA Paper 108616, University Library of Munich, Germany.

    More about this item

    Keywords

    Renewable Energy; Non-Renewable Energy; Real GDP; Granger Causality; Indonesia;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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