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Stochastic Trends and Technical Change: The Case of Energy Consumption in the British Industrial and Domestic Sectors

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  • Paolo Agnolucci

Abstract

This paper estimates energy demand in the British domestic and indus­trial sectors and analyzes the extent to which energy-saving technological change is exogenous, or induced by the energy price. The paper implements models with a linear trend, models making use of the price decomposition of Dargay and Gately (1995a) and the Structural Time Series Models (STSMs) of Harvey (1989). Stochastic trends have been found to be rather important while in neither of the sectors assessed in this study could the hypothesis of symmetric price effects be rejected. Following Hunt and Judge (2005), stochastic trend and asymmetric price effects are found to be substitutes in the industrial sector. In particular we con­clude that asymmetric price effects can substitute for the slope in the stochastic trend. Finally, energy consumption in the industrial sector is strongly in.uenced by price while the effect of price in the domestic sector is markedly smaller.

Suggested Citation

  • Paolo Agnolucci, 2010. "Stochastic Trends and Technical Change: The Case of Energy Consumption in the British Industrial and Domestic Sectors," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 111-136.
    • Handle: RePEc:aen:journl:2010v31-04-a05
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    Cited by:

    1. Agnolucci, Paolo & De Lipsis, Vincenzo & Arvanitopoulos, Theodoros, 2017. "Modelling UK sub-sector industrial energy demand," Energy Economics, Elsevier, vol. 67(C), pages 366-374.
    2. Khan, Muhammad Arshad & Abbas, Faisal, 2016. "The dynamics of electricity demand in Pakistan: A panel cointegration analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 1159-1178.
    3. Desiderio Romero-Jordán & Pablo del Río & Cristina Peñasco, 2014. "Household electricity demand in Spanish regions. Public policy implications," Working Papers 2014/24, Institut d'Economia de Barcelona (IEB).
    4. Ryan Rafaty & Geoffroy Dolphin & Felix Pretis, 2020. "Carbon pricing and the elasticity of CO2 emissions," Working Papers EPRG2035, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    5. Gasim, Anwar A. & Agnolucci, Paolo & Ekins, Paul & De Lipsis, Vincenzo, 2023. "Modeling final energy demand and the impacts of energy price reform in Saudi Arabia," Energy Economics, Elsevier, vol. 120(C).
    6. Sharimakin, Akinsehinwa, 2021. "Modelling asymmetric price responses of industrial energy demand with a dynamic hierarchical model," Energy Economics, Elsevier, vol. 98(C).
    7. Cialani, Catia & Mortazavi, Reza, 2018. "Household and industrial electricity demand in Europe," Energy Policy, Elsevier, vol. 122(C), pages 592-600.
    8. Alarenan, Shahad & Gasim, Anwar A. & Hunt, Lester C., 2020. "Modelling industrial energy demand in Saudi Arabia," Energy Economics, Elsevier, vol. 85(C).
    9. Desiderio Romero-Jordán & Pablo del Río & Cristina Peñasco, 2014. "Household electricity demand in Spanish regions. Public policy implications," Working Papers 2014/24, Institut d'Economia de Barcelona (IEB).
    10. Lee, Ming Kwee & Hashim, Haslenda & Lim, Jeng Shiun & Taib, Mohd Rozainee, 2019. "Spatial planning and optimisation for virtual distribution of BioCNG derived from palm oil mill effluent to meet industrial energy demand," Renewable Energy, Elsevier, vol. 141(C), pages 526-540.

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    JEL classification:

    • F0 - International Economics - - General

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