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Hydroelectricity Consumption and Economic Growth Nexus: Evidence from a Panel of Ten Largest Hydroelectricity Consumers

Author

Listed:
  • Nicholas Apergis

    (Northumbria University, Newcastle upon Tyne, U.K.)

  • Tsangyao Chang

    (Department of Finance, Feng Chia University, Taichung, Taiwan)

  • Rangan Gupta

    (Department of Economics, University of Pretoria)

  • Emmanuel Ziramba

    (Department of Economics, University of Namibia, Private Bag 13301, Pioneerspak, Windhoek, Namibia)

Abstract
This paper explores the long-run and causal relationships between hydroelectricity consumption and economic growth for a panel of the 10 largest hydroelectricity consuming countries over the period 1965 to 2012. The countries include Brazil, Canada, China, France, India, Japan, Norway, Sweden, Turkey and the U.S.A. Using the Bai and Perron (2003) tests for cointegration, the results indicate that real GDP per capita and hydroelectricity consumption per capita appear to be cointegrated around a broken intercept. Granger causality results from a nonlinear panel smooth transition vector error correction model suggest different results depending on the regime. For the pre-1988 period, there is evidence of unidirectional causality running from real GDP per capita to hydroelectricity per capita in both the short- and long-run. Over the post-1988 period, there exists evidence of bidirectional causality between hydroelectricity energy consumption per capita and real GDP per capita in both the short- and the long-run.

Suggested Citation

  • Nicholas Apergis & Tsangyao Chang & Rangan Gupta & Emmanuel Ziramba, 2015. "Hydroelectricity Consumption and Economic Growth Nexus: Evidence from a Panel of Ten Largest Hydroelectricity Consumers," Working Papers 201538, University of Pretoria, Department of Economics.
  • Handle: RePEc:pre:wpaper:201538
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    as
    1. Ohler, Adrienne & Fetters, Ian, 2014. "The causal relationship between renewable electricity generation and GDP growth: A study of energy sources," Energy Economics, Elsevier, vol. 43(C), pages 125-139.
    2. Wang, Zhaohua & Lu, Milin & Wang, Jian-Cai, 2014. "Direct rebound effect on urban residential electricity use: An empirical study in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 124-132.
    3. González, Andrés & Teräsvirta, Timo & van Dijk, Dick & Yang, Yukai, 2005. "Panel Smooth Transition Regression Models," SSE/EFI Working Paper Series in Economics and Finance 604, Stockholm School of Economics, revised 11 Oct 2017.
    4. Apergis, Nicholas & Payne, James E., 2010. "Renewable energy consumption and growth in Eurasia," Energy Economics, Elsevier, vol. 32(6), pages 1392-1397, November.
    5. Lean, Hooi Hooi & Smyth, Russell, 2013. "Are fluctuations in US production of renewable energy permanent or transitory?," Applied Energy, Elsevier, vol. 101(C), pages 483-488.
    6. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    7. Wang, Zhao-Hua & Zeng, Hua-Lin & Wei, Yi-Ming & Zhang, Yi-Xiang, 2012. "Regional total factor energy efficiency: An empirical analysis of industrial sector in China," Applied Energy, Elsevier, vol. 97(C), pages 115-123.
    8. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    9. Zhaohua Wang & Chen Wang & Jianhua Yin, 2015. "Strategies for addressing climate change on the industrial level: affecting factors to CO 2 emissions of energy-intensive industries in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 303-317, February.
    10. Sorrell, Steve & Dimitropoulos, John, 2008. "The rebound effect: Microeconomic definitions, limitations and extensions," Ecological Economics, Elsevier, vol. 65(3), pages 636-649, April.
    11. Bentzen, Jan, 2004. "Estimating the rebound effect in US manufacturing energy consumption," Energy Economics, Elsevier, vol. 26(1), pages 123-134, January.
    12. Pesaran, M. Hashem & Vanessa Smith, L. & Yamagata, Takashi, 2013. "Panel unit root tests in the presence of a multifactor error structure," Journal of Econometrics, Elsevier, vol. 175(2), pages 94-115.
    13. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    14. Apergis, Nicholas & Payne, James E., 2010. "Renewable energy consumption and economic growth: Evidence from a panel of OECD countries," Energy Policy, Elsevier, vol. 38(1), pages 656-660, January.
    15. 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.
    16. Wang, Zhaohua & Yin, Fangchao & Zhang, Yixiang & Zhang, Xian, 2012. "An empirical research on the influencing factors of regional CO2 emissions: Evidence from Beijing city, China," Applied Energy, Elsevier, vol. 100(C), pages 277-284.
    17. Zhang, ZhongXiang, 2003. "Why did the energy intensity fall in China's industrial sector in the 1990s? The relative importance of structural change and intensity change," Energy Economics, Elsevier, vol. 25(6), pages 625-638, November.
    18. Jin, Sang-Hyeon, 2007. "The effectiveness of energy efficiency improvement in a developing country: Rebound effect of residential electricity use in South Korea," Energy Policy, Elsevier, vol. 35(11), pages 5622-5629, November.
    19. Sebri, Maamar, 2015. "Use renewables to be cleaner: Meta-analysis of the renewable energy consumption–economic growth nexus," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 657-665.
    20. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    21. L. Vanessa Smith & Stephen Leybourne & Tae-Hwan Kim & Paul Newbold, 2004. "More powerful panel data unit root tests with an application to mean reversion in real exchange rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(2), pages 147-170.
    22. Sebri, Maamar & Ben-Salha, Ousama, 2014. "On the causal dynamics between economic growth, renewable energy consumption, CO2 emissions and trade openness: Fresh evidence from BRICS countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 14-23.
    23. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    24. Rolf Larsson & Johan Lyhagen & Mickael Lothgren, 2001. "Likelihood-based cointegration tests in heterogeneous panels," Econometrics Journal, Royal Economic Society, vol. 4(1), pages 1-41.
    25. Apergis, Nicholas & Payne, James E., 2011. "The renewable energy consumption-growth nexus in Central America," Applied Energy, Elsevier, vol. 88(1), pages 343-347, January.
    26. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    27. Tugcu, Can Tansel & Ozturk, Ilhan & Aslan, Alper, 2012. "Renewable and non-renewable energy consumption and economic growth relationship revisited: Evidence from G7 countries," Energy Economics, Elsevier, vol. 34(6), pages 1942-1950.
    28. Apergis, Nicholas & Payne, James E., 2014. "Renewable energy, output, CO2 emissions, and fossil fuel prices in Central America: Evidence from a nonlinear panel smooth transition vector error correction model," Energy Economics, Elsevier, vol. 42(C), pages 226-232.
    29. Apergis, Nicholas & Payne, James E., 2010. "Coal consumption and economic growth: Evidence from a panel of OECD countries," Energy Policy, Elsevier, vol. 38(3), pages 1353-1359, March.
    30. Zhang, Bin & Wang, Zhaohua, 2014. "Inter-firm collaborations on carbon emission reduction within industrial chains in China: Practices, drivers and effects on firms' performances," Energy Economics, Elsevier, vol. 42(C), pages 115-131.
    31. Omri, Anis & Ben Mabrouk, Nejah & Sassi-Tmar, Amel, 2015. "Modeling the causal linkages between nuclear energy, renewable energy and economic growth in developed and developing countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 1012-1022.
    32. Wang, Zhaohua & Feng, Chao, 2015. "Sources of production inefficiency and productivity growth in China: A global data envelopment analysis," Energy Economics, Elsevier, vol. 49(C), pages 380-389.
    33. Josep Lluís Carrion-i-Silvestre & Tomás del Barrio-Castro & Enrique López-Bazo, 2005. "Breaking the panels: An application to the GDP per capita," Econometrics Journal, Royal Economic Society, vol. 8(2), pages 159-175, July.
    34. Halkos, George E. & Tzeremes, Nickolaos G., 2014. "The effect of electricity consumption from renewable sources on countries׳ economic growth levels: Evidence from advanced, emerging and developing economies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 166-173.
    35. Apergis, Nicholas & Payne, James E., 2012. "Renewable and non-renewable energy consumption-growth nexus: Evidence from a panel error correction model," Energy Economics, Elsevier, vol. 34(3), pages 733-738.
    36. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    37. Li, Jing, 2006. "Testing Granger Causality in the presence of threshold effects," International Journal of Forecasting, Elsevier, vol. 22(4), pages 771-780.
    38. repec:bla:obuest:v:61:y:1999:i:0:p:653-70 is not listed on IDEAS
    39. Apergis, Nicholas & Payne, James E., 2011. "Renewable and non-renewable electricity consumption–growth nexus: Evidence from emerging market economies," Applied Energy, Elsevier, vol. 88(12), pages 5226-5230.
    40. Wang, Zhaohua & Feng, Chao, 2015. "A performance evaluation of the energy, environmental, and economic efficiency and productivity in China: An application of global data envelopment analysis," Applied Energy, Elsevier, vol. 147(C), pages 617-626.
    41. Apergis, Nicholas & Payne, James E. & Menyah, Kojo & Wolde-Rufael, Yemane, 2010. "On the causal dynamics between emissions, nuclear energy, renewable energy, and economic growth," Ecological Economics, Elsevier, vol. 69(11), pages 2255-2260, September.
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    4. Destek, Mehmet Akif & Aslan, Alper, 2020. "Disaggregated renewable energy consumption and environmental pollution nexus in G-7 countries," Renewable Energy, Elsevier, vol. 151(C), pages 1298-1306.
    5. Zhang, Chi & Zhou, Kaile & Yang, Shanlin & Shao, Zhen, 2017. "On electricity consumption and economic growth in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 353-368.
    6. Daniel Ştefan Armeanu & Georgeta Vintilă & Ştefan Cristian Gherghina, 2017. "Does Renewable Energy Drive Sustainable Economic Growth? Multivariate Panel Data Evidence for EU-28 Countries," Energies, MDPI, vol. 10(3), pages 1-21, March.
    7. Khraief, Naceur & Shahbaz, Muhammad & Mallick, Hrushikesh & Loganathan, Nanthakumar, 2016. "Estimation of Electricity Demand Function for Algeria: Revisit of Time Series Analysis," MPRA Paper 74870, University Library of Munich, Germany, revised 01 Nov 2016.
    8. Solarin, Sakiru Adebola & Shahbaz, Muhammad & Hammoudeh, Shawkat, 2019. "Sustainable economic development in China: Modelling the role of hydroelectricity consumption in a multivariate framework," Energy, Elsevier, vol. 168(C), pages 516-531.
    9. Tomiwa Sunday Adebayo & Mary Oluwatoyin Agboola & Husam Rjoub & Ibrahim Adeshola & Ephraim Bonah Agyekum & Nallapaneni Manoj Kumar, 2021. "Linking Economic Growth, Urbanization, and Environmental Degradation in China: What Is the Role of Hydroelectricity Consumption?," IJERPH, MDPI, vol. 18(13), pages 1-14, June.
    10. Bildirici, Melike E. & Gökmenoğlu, Seyit M., 2017. "Environmental pollution, hydropower energy consumption and economic growth: Evidence from G7 countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 68-85.
    11. Can Tansel Tugcu & Angeliki N. Menegaki & Ilhan Ozturk, 2020. "Renewable Vs Non-Renewable Energy Consumption as a Driver of Government Deficit in Net Energy Importing Countries," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 10(10), pages 1100-1114, October.
    12. Feyyaz Zeren & Nazlıgül Gülcan & Samet Gürsoy & İbrahim Halil Ekşi & Mosab I. Tabash & Magdalena Radulescu, 2023. "The Relationship between Geothermal Energy Consumption, Foreign Direct Investment, and Economic Growth in Geothermal Consumer Countries: Evidence from Panel Fourier Causality Test," Energies, MDPI, vol. 16(3), pages 1-15, January.
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    More about this item

    Keywords

    Economic growth; Granger causality; Hydroelectricity; Panel cointegration;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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