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Time Series Properties of the Renewable Energy Diffusion Process: Implications for Energy Policy Design and Assessment

Author

Listed:
  • Syed Basher
  • Andrea Masini

    (GREGH - Groupement de Recherche et d'Etudes en Gestion à HEC - HEC Paris - Ecole des Hautes Etudes Commerciales - CNRS - Centre National de la Recherche Scientifique)

  • Sam Aflaki

    (GREGH - Groupement de Recherche et d'Etudes en Gestion à HEC - HEC Paris - Ecole des Hautes Etudes Commerciales - CNRS - Centre National de la Recherche Scientifique)

Abstract

Confronted by increasingly tight budgets and a broad range of alternative options, policy makers need empirical methods to evaluate the effectiveness of policies aimed at supporting the diffusion of renewable energy sources (RES). Rigorous empirical studies of renewable energy policy effectiveness have typically relied on panel data models to identify the most effective mechanisms. A common characteristic of some of these studies, which has important econometric implications, is that they assume that the contribution of RES to total electricity generation will be stationary around a mean. This paper reviews such assumptions and rigorously tests the time series properties of the contribution of RES in the energy mix for the presence of a unit root. To that end, we use both individual and panel unit root tests to determine whether the series exhibit non-stationary behavior at the country level as well as for the panel as a whole. The analysis, applied to a panel of 19 OECD countries over the period 1990-2012, provides strong evidence that the time series of the renewable share of electricity output are not stationary in 17 of the 19 countries examined. This finding has important implications for energy policy assessment and energy policy making, which are discussed in the paper.

Suggested Citation

  • Syed Basher & Andrea Masini & Sam Aflaki, 2014. "Time Series Properties of the Renewable Energy Diffusion Process: Implications for Energy Policy Design and Assessment," Working Papers hal-02018566, HAL.
  • Handle: RePEc:hal:wpaper:hal-02018566
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    2. Sam, Aflaki & Syed Abul, Basher & Andrea, Masini, 2019. "Is your valley as green as it should be? Incorporating economic development into environmental performance indicators," MPRA Paper 97081, University Library of Munich, Germany.
    3. Abedi, Vahideh Sadat & Eslami, Hossein, 2025. "Aggregate vs micromodels for forecasting the diffusion of new technologies," Technological Forecasting and Social Change, Elsevier, vol. 219(C).
    4. Cho, Seong-Heon & Kim, Juyeon & Han, Jeehoon & Lee, Daewon & Kim, Hyung Ju & Kim, Yong Tae & Cheng, Xun & Xu, Ye & Lee, Jechan & Kwon, Eilhann E., 2019. "Bioalcohol production from acidogenic products via a two-step process: A case study of butyric acid to butanol," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    5. Mohd Chachuli, Fairuz Suzana & Ahmad Ludin, Norasikin & Md Jedi, Muhamad Alias & Hamid, Norul Hisham, 2021. "Transition of renewable energy policies in Malaysia: Benchmarking with data envelopment analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    6. Sam Aflaki & Syed Abul Basher & Andrea Masini, 2015. "Does Economic Growth Matter? Technology-Push, Demand-Pull and Endogenous Drivers of Innovation in the Renewable Energy Industry," Working Papers hal-02011423, HAL.
    7. Gosens, Jorrit & Hedenus, Fredrik & Sandén, Björn A., 2017. "Faster market growth of wind and PV in late adopters due to global experience build-up," Energy, Elsevier, vol. 131(C), pages 267-278.
    8. Tiwari, Aviral Kumar & Albulescu, Claudiu Tiberiu, 2016. "Renewable-to-total electricity consumption ratio: Estimating the permanent or transitory fluctuations based on flexible Fourier stationarity and unit root tests," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1409-1427.
    9. Best, Rohan & Burke, Paul J., 2018. "Adoption of solar and wind energy: The roles of carbon pricing and aggregate policy support," Energy Policy, Elsevier, vol. 118(C), pages 404-417.
    10. Indora, Sunil & Kandpal, Tara C., 2018. "Institutional cooking with solar energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 84(C), pages 131-154.
    11. Basher, Syed Abul & Raboy, David G., 2018. "The misuse of net present value in energy efficiency standards," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 218-225.

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    Keywords

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    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy

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