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The environmental issue facing asymmetric oil price shocks and renewable energy challenges: evidence from Tunisia

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Abstract

The present paper investigates the environmental issue in Tunisia when considering both renewable energy challenges and asymmetric oil prices shocks. The nonlinear ARDL (NARDL) approach to cointegration of Shin et al. (2014) in the presence of structural breaks is used to study the environmental Kuznets inverted U-curve in Tunisia over the period 1976–2014. The EKC hypothesis is found to be confirmed in Tunisia in the short and long terms. The nonlinear turning point is found to take place before the linear one suggesting that considering oil price asymmetrically allows accelerating the EKC assumption in Tunisia to reach the turning point more rapidly. Our finding reflects the necessity of an asymmetric energy price reform in Tunisia respecting the asymmetric nature itself of environmental and economic implications of oil price shocks. By switching from the linear to the nonlinear model, renewable energy consumption is found to exert almost the same and effective role as reducer of CO2 emissions. The energy transition process is found to be triggered in Tunisia but at a slow pace. Policy implications have been implemented in terms of environmental, social equity, and energy transition strategies. The issues raised are multidimensional including regulatory, institutional, financial, and governance reforms.

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Notes

  1. For more details concerning the feedback causality relationship between real activity and CO2 emissions, see Boufateh (2019) and Stern (2006).

  2. More specifically, as stated by Jaunky (2011) and Kaika and Zervas (2013), the three theoretical effects on

    which the EKC is based are the income effect, the structural effect, and the abatement effect.

  3. According to Mork (1989); Huang (2008); Hamilton (2011); Apergis et al. (2015); and Bal and Rath (2015), a kind of nonlinear perception seems to characterize the link between oil price fluctuations and macroeconomic fundamentals in general and the real sphere in particular.

  4. Unlike the traditional cointegration approach, adjustment to the long-run target in the ARDL modeling is ensured regardless of whether the specification comprises I (1) variables or a mixture of I (1) and I (0) series.

  5. Optimal lag orders are selected by Schwarz information criterion (SIC) or Akaike information criterion (AIC).

  6. The critical bound values are provided by Pesaran et al. (2001); a first lower critical bound value for I (0) component and a second upper critical bound value for I (1) variables.

  7. The test of long-run relationship is conducted through the modified Fisher test based on the bounds-testing technique introduced by Pesaran et al. (2001) and Shin et al. (2011).

  8. The Kapetanios (2005) unit root test allow for up to five breaks (m = 5).

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Talel Boufateh is the single author of the paper.

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Correspondence to Talel Boufateh.

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Responsible Editor: Nicholas Apergis

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Boufateh, T. The environmental issue facing asymmetric oil price shocks and renewable energy challenges: evidence from Tunisia. Environ Sci Pollut Res 28, 48207–48221 (2021). https://doi.org/10.1007/s11356-021-14114-y

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