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The Dynamics of Structural and Energy Intensity Change

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  • Lizhan Cao

Abstract

In this study, an extended structural change model is adopted to explore the mechanisms of how structural adjustments influence the changes of energy intensity. Through adding an energy production sector to the standard model, we find that the change of sectoral energy intensity is determined by the differences of sectoral and energy production technologies. Moreover, the change of economy-wide energy intensity is shaped by both structural and sectoral energy intensity changes. According to theoretical findings and simulation exercises, structural change, initiated by technological growth rate and substitution elasticity, affects the growth rate of economy-wide energy intensity. (1) If the energy threshold technological growth rates are high or low enough, the overall energy intensity will develop monotonically. (2) If the energy threshold technological growth rate is moderate, and (i) substitution elasticity and initial final production technological growth rate meet some requirements, the economy-wide energy intensity will grow monotonically; otherwise, (ii) with the suitable combination of substitution elasticity and initial final production technological growth rate, the overall energy intensity can develop nonmonotonically, like U or inverted-U curves.

Suggested Citation

  • Lizhan Cao, 2017. "The Dynamics of Structural and Energy Intensity Change," Discrete Dynamics in Nature and Society, Hindawi, vol. 2017, pages 1-10, March.
    • Handle: RePEc:hin:jnddns:6308073
    DOI: 10.1155/2017/6308073
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    Cited by:

    1. Peng, Jiachao & Xiao, Jianzhong & Zhang, Lian & Wang, Teng, 2020. "The impact of China's ‘Atmosphere Ten Articles’ policy on total factor productivity of energy exploitation: Empirical evidence using synthetic control methods," Resources Policy, Elsevier, vol. 65(C).
    2. Fan, Maoqing & Zheng, Haitao, 2019. "The impact of factor price changes and technological progress on the energy intensity of China's industries: Kalman filter-based econometric method," Structural Change and Economic Dynamics, Elsevier, vol. 49(C), pages 340-353.
    3. Chen, Maozhi & Sinha, Avik & Hu, Kexiang & Shah, Muhammad Ibrahim, 2021. "Impact of technological innovation on energy efficiency in industry 4.0 era: Moderation of shadow economy in sustainable development," Technological Forecasting and Social Change, Elsevier, vol. 164(C).

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