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Neighbourhood-level spatial determinants of residential solar photovoltaic adoption in the Netherlands

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  • Zhang, Jianhua
  • Ballas, Dimitris
  • Liu, Xiaolong

Abstract

This paper examines the neighbourhood-level spatial determinants of residential solar photovoltaic (PV) adoption in the Netherlands. We investigate the roles of place-specificities and spatial interaction effects by utilising high-resolution spatial data on 13,205 Dutch neighbourhoods. Unlike other studies, we use impact measures on the basis of a spatial Durbin model to distinguish between direct and indirect effects of the spatial determinants. We find significant neighbourhood-level spatial interaction effects in residential solar PV adoption. Where there is a spatial dependence, household income, property value, population density, housing type and household type are among the factors that influence residential solar PV adoption.

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  • Zhang, Jianhua & Ballas, Dimitris & Liu, Xiaolong, 2023. "Neighbourhood-level spatial determinants of residential solar photovoltaic adoption in the Netherlands," Renewable Energy, Elsevier, vol. 206(C), pages 1239-1248.
    • Handle: RePEc:eee:renene:v:206:y:2023:i:c:p:1239-1248
    DOI: 10.1016/j.renene.2023.02.118
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    Cited by:

    1. Jianhua Zhang & Xiaolong Liu & Dimitris Ballas, 2023. "Spatial and relational peer effects on environmental behavioral imitation," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 25(4), pages 575-599, October.
    2. Wen, Xin & Heinisch, Verena & Müller, Jonas & Sasse, Jan-Philipp & Trutnevyte, Evelina, 2023. "Comparison of statistical and optimization models for projecting future PV installations at a sub-national scale," Energy, Elsevier, vol. 285(C).
    3. Tao, Linwei & Hayashi, Kiichiro & Shiraki, Hiroto & Huang, Xiaoxun & Dem, Phub, 2024. "Exploration of determinants underlying regional disparity in rooftop photovoltaic adoption: A case study in Nagoya, Japan," Applied Energy, Elsevier, vol. 367(C).
    4. Zhang, Jianhua & Ballas, Dimitris & Liu, Xiaolong, 2024. "Global climate change mitigation technology diffusion: A network perspective," Energy Economics, Elsevier, vol. 133(C).

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    More about this item

    Keywords

    Energy transition; Solar PV; Spatial endogenous effects; Spatial dependence; Spatial econometrics;
    All these keywords.

    JEL classification:

    • 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
    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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