Global installations of household rooftop solar photovoltaics (PVs) are rapidly increasing, driven in many cases by government incentives. We show a direct correlation between economic resources and both the PV penetration and the average PV system size. Using datasets with a high areal resolution for socioeconomic indicators and household PV installations, we create an Index of Economic Resources for Owner-Occupiers for the Australian Capital Territory, Australia. Our analysis confirms the inaccuracy of using highly aggregated datasets in exploring the socioeconomic outcomes of the renewable energy policy, an inaccuracy long known in other disciplines. Analyses using such datasets are likely to overlook vulnerable areas, which could increase perverse policy outcomes.
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Spatial disaggregation clarifies the inequity in distributional outcomes of household solar PV installation
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Research Article|
June 20 2019
Spatial disaggregation clarifies the inequity in distributional outcomes of household solar PV installation
Carl Tidemann
;
Carl Tidemann
1
Fenner School of Environment and Society, Australian National University
, Acton ACT 2601, Australia
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Nicholas Engerer
;
Nicholas Engerer
1
Fenner School of Environment and Society, Australian National University
, Acton ACT 2601, Australia
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Francis Markham
;
Francis Markham
2
Centre for Aboriginal Economic and Policy Research, Australian National University
, Acton ACT 2601, Australia
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Bruce Doran;
Bruce Doran
1
Fenner School of Environment and Society, Australian National University
, Acton ACT 2601, Australia
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John C. V. Pezzey
John C. V. Pezzey
1
Fenner School of Environment and Society, Australian National University
, Acton ACT 2601, Australia
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J. Renewable Sustainable Energy 11, 035901 (2019)
Article history
Received:
March 25 2019
Accepted:
June 04 2019
Citation
Carl Tidemann, Nicholas Engerer, Francis Markham, Bruce Doran, John C. V. Pezzey; Spatial disaggregation clarifies the inequity in distributional outcomes of household solar PV installation. J. Renewable Sustainable Energy 1 May 2019; 11 (3): 035901. https://doi.org/10.1063/1.5097424
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