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Transitioning from conventional energy to clean renewable energy in G7 countries: A signed network approach

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  • Zhang, Xu
  • Xu, Wenting
  • Rauf, Abdul
  • Ozturk, Ilhan

Abstract

The transition from conventional energy to clean renewable energy is becoming a global trend, and related issues are attracting widespread attention. Given the possible time-varying energy transition process, this paper proposes a dynamic signed network topology approach for empirical analysis, which is then applied to evaluate the transition from conventional energy to clean renewable energy in G7 countries. The research findings indicate a discrepancy between the positive and negative spillover effects of conventional and clean renewable energy consumption in G7 nations. The transition from conventional energy on clean renewable energy involves alternating positive and negative spillover effects. On average, oil exhibits a positive spillover effect on clean renewable energy consumption. However, the spillover effect of natural gas on clean renewable energy consumption presents an asymmetric relationship across the G7 countries.

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  • Zhang, Xu & Xu, Wenting & Rauf, Abdul & Ozturk, Ilhan, 2024. "Transitioning from conventional energy to clean renewable energy in G7 countries: A signed network approach," Energy, Elsevier, vol. 307(C).
  • Handle: RePEc:eee:energy:v:307:y:2024:i:c:s0360544224024290
    DOI: 10.1016/j.energy.2024.132655
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    More about this item

    Keywords

    Energy transition; Network topology; Renewable energy; Conventional energy; Spillovers effects;
    All these keywords.

    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
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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