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The Effect of the COVID-19 Outbreak on the Turkish Diesel Consumption Volatility Dynamics

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  • H. Murat ErtuÄŸrul
  • B. Oray Güngör
  • UÄŸur SoytaÅŸ

    (Asia Pacific Applied Economics Association)

Abstract

We analyze the effect of the COVID-19 outbreak on volatility dynamics of the Turkish diesel market. We observe that a high volatility pattern starts around mid-April, 2020 and reaches its peak on 24/05/2020. This is due to the government imposed weekend curfews and bans on intercity travels. Two policy suggestions are provided. First is a temporary rearrangement of profit margins of dealers and liquid fuel distributors; and, second is a temporary tax regulation to compensate lost tax revenue.

Suggested Citation

  • H. Murat ErtuÄŸrul & B. Oray Güngör & UÄŸur SoytaÅŸ, 2021. "The Effect of the COVID-19 Outbreak on the Turkish Diesel Consumption Volatility Dynamics," Energy RESEARCH LETTERS, Asia-Pacific Applied Economics Association, vol. 1(1), pages 1-4.
    • Handle: RePEc:ayb:jrnerl:13
    DOI: 2021/06/16
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    Cited by:

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    6. Wang, Hui & Shen, Huayu & Tang, Xiaoyi & Wu, Zuofeng & Ma, Shuming, 2021. "Trade policy uncertainty and firm risk taking," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 351-364.
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    9. Güngör, Bekir Oray & Ertuğrul, H. Murat & Soytaş, Uğur, 2021. "Impact of Covid-19 outbreak on Turkish gasoline consumption," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    10. Sui, Bo & Chang, Chun-Ping & Jang, Chyi-Lu & Gong, Qiang, 2021. "Analyzing causality between epidemics and oil prices: Role of the stock market," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 148-158.
    11. Feng, Gen-Fu & Yang, Hao-Chang & Gong, Qiang & Chang, Chun-Ping, 2021. "What is the exchange rate volatility response to COVID-19 and government interventions?," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 705-719.
    12. Krzysztof Dmytrów & Joanna Landmesser & Beata Bieszk-Stolorz, 2021. "The Connections between COVID-19 and the Energy Commodities Prices: Evidence through the Dynamic Time Warping Method," Energies, MDPI, vol. 14(13), pages 1-23, July.
    13. Daniel Stefan Armeanu & Stefan Cristian Gherghina & Jean Vasile Andrei & Camelia Catalina Joldes, 2023. "Evidence from the nonlinear autoregressive distributed lag model on the asymmetric influence of the first wave of the COVID-19 pandemic on energy markets," Energy & Environment, , vol. 34(5), pages 1433-1470, August.
    14. Kai-Hua Wang & Chi-Wei Su, 2021. "Asymmetric Link Between COVID-19 and Fossil Energy Prices," Asian Economics Letters, Asia-Pacific Applied Economics Association, vol. 1(4), pages 1-5.
    15. Chen, Yin-E & Li, Chunyan & Chang, Chun-Ping & Zheng, Mingbo, 2021. "Identifying the influence of natural disasters on technological innovation," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 22-36.
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    17. Narayan, Paresh Kumar, 2022. "Evidence of oil market price clustering during the COVID-19 pandemic," International Review of Financial Analysis, Elsevier, vol. 80(C).

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    More about this item

    Keywords

    diesel consumption ; arima models; arch family models; covid-19 pandemic;
    All these keywords.

    JEL classification:

    • O - Economic Development, Innovation, Technological Change, and Growth

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