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Electricity Capacity Convergence in G20 Countries: New Findings from New Tests

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  • Ebru Doğan

    (Department of Business Administration, Faculty of Economics, Istanbul University, 34452 Istanbul, Turkey)

Abstract

Energy sources, one of the key elements of economic growth and development, have recently come to the forefront in terms of sustainability, security of supply, low cost, and environmental impact. Therefore, the diversification of energy sources is becoming more important; in this regard many countries are investing especially in renewable energy sources. This trend plays an important role in the decarbonization of the energy sector. The aim of this study is to analyze the convergence of electricity capacity in G20 countries, which account for two-thirds of the world population and have a dominant position in the world economy. Accordingly, the analysis was carried out for total electricity capacity and its sources (nuclear, fossil fuels, and renewables). Unlike other studies in the literature, this study utilizes nonlinear unit root tests with Fourier function, which models nonlinearity and structural break, the two main problems in unit root tests, within the framework of recent developments in time series analysis. According to the findings of the analysis, it was concluded that the converging countries are in line with the G20 policies in terms of electricity capacity and its sources and that there is no need for policy changes in these countries.

Suggested Citation

  • Ebru Doğan, 2024. "Electricity Capacity Convergence in G20 Countries: New Findings from New Tests," Sustainability, MDPI, vol. 16(19), pages 1-15, September.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:19:p:8411-:d:1487230
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    References listed on IDEAS

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    1. Kapetanios, George & Shin, Yongcheol & Snell, Andy, 2003. "Testing for a unit root in the nonlinear STAR framework," Journal of Econometrics, Elsevier, vol. 112(2), pages 359-379, February.
    2. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    3. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    4. Sollis, Robert, 2009. "A simple unit root test against asymmetric STAR nonlinearity with an application to real exchange rates in Nordic countries," Economic Modelling, Elsevier, vol. 26(1), pages 118-125, January.
    5. Robinson Kruse, 2011. "A new unit root test against ESTAR based on a class of modified statistics," Statistical Papers, Springer, vol. 52(1), pages 71-85, February.
    6. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    electricity capacity; stochastic convergence; electricity capacity convergence; renewable energy; G20 countries;
    All these keywords.

    JEL classification:

    • G20 - Financial Economics - - Financial Institutions and Services - - - General

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