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Exploring the spatial and temporal determinants of gas central heating adoption

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  • McCoy, Daire
  • Curtis, John

Abstract

In order to better understand the potential for both policy and technological improvements to aid carbon abatement, long-term historical information on the time-path of transition from more traditional to cleaner fuels is useful. This is a relatively understudied element of the fuel switching literature in both developed and emerging economies. This research adds to this literature by examining the adoption time-path of network gas as a heating fuel. We merge a unique dataset on gas network roll-out over time, with other geo-coded data and employ an instrumental variables technique in order to simultaneously model supply and demand. Results indicate a non-linear relationship between the proportion of households using gas as their primary means of central heating and the length of time the network has been in place in each area. Proximity to the gas network, peat bogs, and areas which have banned the consumption of bituminous coal also affect gas connections. Variations in socioeconomic and dwelling characteristics at area level can also help explain connections to the gas network. A better understanding of this variation is crucial in designing targeted policies and can aid network expansion decisions.

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  • McCoy, Daire & Curtis, John, 2018. "Exploring the spatial and temporal determinants of gas central heating adoption," Resource and Energy Economics, Elsevier, vol. 52(C), pages 64-86.
  • Handle: RePEc:eee:resene:v:52:y:2018:i:c:p:64-86
    DOI: 10.1016/j.reseneeco.2017.12.004
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    Cited by:

    1. Xu, Shang & Klaiber, Allen, 2018. "Provision of Natural Gas Infrastructure and Shifts in Fuel Patterns," 2018 Annual Meeting, August 5-7, Washington, D.C. 274447, Agricultural and Applied Economics Association.
    2. Michael Chesser & Jim Hanly & Damien Cassells & Nikolaos Apergis, 2019. "Household Energy Consumption: A Study of Micro Renewable Energy Systems in Ireland," The Economic and Social Review, Economic and Social Studies, vol. 50(2), pages 265-280.
    3. Curtis, John & McCoy, Daire & Aravena, Claudia, 2018. "Heating system upgrades: The role of knowledge, socio-demographics, building attributes and energy infrastructure," Energy Policy, Elsevier, vol. 120(C), pages 183-196.
    4. Curtis, John & Grilli, Gianluca, 2020. "Does moving home affect residential heating decisions? exploring heating fuel switching in Ireland," Papers WP684, Economic and Social Research Institute (ESRI).
    5. O'Malley, Seamus & Roantree, Barra & Curtis, John, 2020. "Carbon taxes, poverty and compensation options," Research Series, Economic and Social Research Institute (ESRI), number SUSTAT98.
    6. Eakins, John & Sirr, Gordon & Power, Bernadette, 2023. "Informally sourced solid fuel use: Examining its extent and characteristics of the users in the residential sector in Ireland," Energy Policy, Elsevier, vol. 172(C).
    7. Curtis, John & Tovar, Miguel Angel & Grilli, Gianluca, 2020. "Access to and consumption of natural gas: Spatial and socio-demographic drivers," Energy Policy, Elsevier, vol. 143(C).

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    More about this item

    Keywords

    Residential fuel choice; Spatial economics; Instrumental variables estimation;
    All these keywords.

    JEL classification:

    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation

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