Solar energy surge: The socio-economic determinants of the photovoltaic systems growth in Australia

被引:2
|
作者
Fuentes, Paul Marty Jordan [1 ,4 ]
Khalilpour, Kaveh [1 ,2 ]
Voinov, Alexey [3 ]
机构
[1] Univ Technol Sydney UTS, Fac Engn & IT, Sydney, Australia
[2] Univ Technol Sydney, UTS Visualisat Inst, Sydney, Australia
[3] Univ Twente, Fac Engn Technol, Enschede, Netherlands
[4] Univ Philippines Diliman, Coll Engn, Quezon City, Philippines
关键词
Solar photovoltaic; Technology adoption; Technology diffusion; Renewable energy; Neighbourhood effects; Statistical analysis; ADOPTION; HOUSEHOLDS; DIFFUSION; KNOWLEDGE; UK;
D O I
10.1016/j.erss.2024.103695
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The installation of solar photovoltaic (PV) systems on residential units is one of the measures that countries around the world are implementing to mitigate the impact of the global warming crisis. Australia has become the world leader in the solar PV sector since it introduced its solar-related program in 2001. The adoption was initially spurred by government-driven incentive schemes providing opportunities for early adopters to financially capitalise on the technology through feed-in tariffs. Over time, the growth was further propelled by the phenomenon often referred to as the neighbourhood effects. This paper conducted a statistical analysis to investigate the demographic composition, at postal area (POA) resolution, associated with the PV uptake in Australia. To detect the presence of the neighbourhood effects, a formula was developed to simplify its quantification, drawing analogies to kinematics. The results of the regression analysis reveal that gender, share of certain age groups, land area, and dwellings with a vehicle do not correlate with adoption. On the other hand, other variables such as marital status, weekly household income, number of bedrooms, population and dwellings densities, do have influences, positively and negatively. Furthermore, the "accelerated rate" determines a positive impact of the neighbourhood effects in the range of 15 to 20 additional PV units installed per year per POA. A publicly accessible tool was developed with this study that can aid policymakers in exploring the socioeconomic indicators identified in this analysis as predictors of the diffusion of the technology for effective policies, regulations, and schemes.
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收藏
页数:18
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