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What do adoption patterns of solar panels observed so far tell about governments’ incentive? Insights from diffusion models

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  • Bunea, Anita M.
  • Della Posta, Pompeo
  • Guidolin, Mariangela
  • Manfredi, Piero

Abstract

The fast worldwide spread of renewable energies is one of the key aspects of the international response to the threats of global warming. However, the diffusion of solar photovoltaic panels (SPPs) shows strict dependence on public incentive support. We apply diffusion models to SPP adoptions (26 countries between 1992 and 2016) to identify the temporal profile of the major domestic shocks in SPP markets whilst focusing on the role of public interventions in influencing the scale and shape of SPP adoption curves. The results show that the SPP market started in all countries considered without the assistance of a strong innovation component so that its initial lifecycle was essentially sustained by imitation. The largest part of its market growth, however, resulted from massive positive shocks that occurred between 2007 and 2016, possibly attributed to incentive measures. These public incentives were often poorly designed, resulting in late, short-term responses to external stimuli, such as the cogent pressure of international deadlines, in the absence of a well-established long-term plan. The limited temporal persistency of public actions, causing the market to be dominated by incentive-forced waves followed by negligible post-incentive adoptions, indicate the emergence of an addiction to incentive phenomenon and, therefore, a deleterious role of expectations.

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  • Bunea, Anita M. & Della Posta, Pompeo & Guidolin, Mariangela & Manfredi, Piero, 2020. "What do adoption patterns of solar panels observed so far tell about governments’ incentive? Insights from diffusion models," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
  • Handle: RePEc:eee:tefoso:v:160:y:2020:i:c:s0040162520310660
    DOI: 10.1016/j.techfore.2020.120240
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    5. Trieste, Leopoldo & Geisler, Elie & Turchetti, Giuseppe, 2022. "Columbus' egg and the engineer's effect in forecasting solutions adoption," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    6. Anita M. Bunea & Mariangela Guidolin & Piero Manfredi & Pompeo Della Posta, 2022. "Diffusion of Solar PV Energy in the UK: A Comparison of Sectoral Patterns," Forecasting, MDPI, vol. 4(2), pages 1-21, April.
    7. Francesca Bitonti, 2022. "Bass model-based approach to migration," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 76(2), pages 4-12, April-Jun.
    8. Francesca Bitonti & Angelo Mazza & Salvatore Strozza, 2021. "Could the bass model be applied to Italian emigration?," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 75(3), pages 5-16, July-Sept.
    9. Tinta, Abdoulganiour Almame & Sylla, Ahmed Yves & Lankouande, Edmond, 2023. "Solar PV adoption in rural Burkina Faso," Energy, Elsevier, vol. 278(PB).

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    More about this item

    Keywords

    Global diffusion of solar photovoltaic panels; State incentive; Generalised Bass model; Generalised internal model; Perspectives on adoptions of renewable energies;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation

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