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Impulse response of auction price by practicing auction scheme for solar PV generation to generation quantity, investment and Brent crude oil price

Author

Listed:
  • Tanvir Alam Shahi Md.

    (University of Szeged)

  • Sarolta Somosi

    (University of Szeged)

Abstract

Energy is crucial for economic progress worldwide, regardless of a country’s development status. However, the negative impacts of traditional energy sources have prompted global policymakers to reconsider fossil fuel consumption patterns. In addition to these harmful effects, regional conflicts such as the Russia-Ukraine war and tensions involving Israel, Palestine, and Iran are contributing to instability in the global energy market, which in turn affects general market stability. Consequently, global leaders are focusing on country-specific energy policies that prioritize the transition to renewable energy sources in future energy strategies. To ensure the widespread and cost-effective use of solar photovoltaic energy, many countries, including those in the European Union and beyond, are increasingly utilizing renewable energy auction techniques. Thus, the primary focus of this study is to evaluate the impact of a competitive auction technique on the expansion of solar PV generation and the potential reduction (or stabilization) of Brent crude oil prices (i.e., West Texas intermediate oil price). This is particularly relevant given the shifting investment trends in the renewable energy sector, with a specific emphasis on seven open and dynamic economies within the EU. To conduct this analysis, the authors employed a panel vector autoregression (VAR) model, utilizing annual data spanning from 2000 to 2021. The result indicates that the competitive auction value for solar PV accelerates the generation of solar PV in the selected EU countries and the countries are likely to decrease their reliance on fossil fuel-based sources for electricity generation. Because, the auction price is becoming competitive to the Brent crude oil price. Further, the investment in the solar PV sector is not sufficient yet.

Suggested Citation

  • Tanvir Alam Shahi Md. & Sarolta Somosi, 2024. "Impulse response of auction price by practicing auction scheme for solar PV generation to generation quantity, investment and Brent crude oil price," E&M Economics and Management, Technical University of Liberec, Faculty of Economics, vol. 27(4), pages 73-88, December.
  • Handle: RePEc:bbl:journl:v:27:y:2024:i:4:p:73-88
    DOI: 10.15240/tul/001/2024-4-005
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    References listed on IDEAS

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    1. Do, Hung Xuan & Nepal, Rabindra & Jamasb, Tooraj, 2020. "Electricity market integration, decarbonisation and security of supply: Dynamic volatility connectedness in the Irish and Great Britain markets," Energy Economics, Elsevier, vol. 92(C).
    2. Mauleón, Ignacio & Hamoudi, Hamid, 2017. "Photovoltaic and wind cost decrease estimation: Implications for investment analysis," Energy, Elsevier, vol. 137(C), pages 1054-1065.
    3. Philip Andrews-Speed & Sufang Zhang, 2015. "Renewable Energy Finance in China," World Scientific Book Chapters, in: Charles W Donovan (ed.), RENEWABLE ENERGY FINANCE Powering the Future, chapter 8, pages 173-194, World Scientific Publishing Co. Pte. Ltd..
    4. Boomsma, Trine Krogh & Meade, Nigel & Fleten, Stein-Erik, 2012. "Renewable energy investments under different support schemes: A real options approach," European Journal of Operational Research, Elsevier, vol. 220(1), pages 225-237.
    5. Ahmad, Wasim, 2017. "On the dynamic dependence and investment performance of crude oil and clean energy stocks," Research in International Business and Finance, Elsevier, vol. 42(C), pages 376-389.
    6. Svetlana Balashova & Apostolos Serletis, 2021. "Oil Price Uncertainty, Globalization, and Total Factor Productivity: Evidence from the European Union," Energies, MDPI, vol. 14(12), pages 1-11, June.
    7. Steffen, Bjarne, 2020. "Estimating the cost of capital for renewable energy projects," Energy Economics, Elsevier, vol. 88(C).
    8. Pham, Linh, 2019. "Do all clean energy stocks respond homogeneously to oil price?," Energy Economics, Elsevier, vol. 81(C), pages 355-379.
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    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
    • C62 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Existence and Stability Conditions of Equilibrium
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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