{"title":"Solar energy surge: The socio-economic determinants of the photovoltaic systems growth in Australia","authors":"","doi":"10.1016/j.erss.2024.103695","DOIUrl":null,"url":null,"abstract":"<div><p>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 socio-economic indicators identified in this analysis as predictors of the diffusion of the technology for effective policies, regulations, and schemes.</p></div>","PeriodicalId":48384,"journal":{"name":"Energy Research & Social Science","volume":null,"pages":null},"PeriodicalIF":6.9000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S221462962400286X/pdfft?md5=0f64014a4757dbfa5ca899b1fd82da83&pid=1-s2.0-S221462962400286X-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Research & Social Science","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S221462962400286X","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
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 socio-economic indicators identified in this analysis as predictors of the diffusion of the technology for effective policies, regulations, and schemes.
期刊介绍:
Energy Research & Social Science (ERSS) is a peer-reviewed international journal that publishes original research and review articles examining the relationship between energy systems and society. ERSS covers a range of topics revolving around the intersection of energy technologies, fuels, and resources on one side and social processes and influences - including communities of energy users, people affected by energy production, social institutions, customs, traditions, behaviors, and policies - on the other. Put another way, ERSS investigates the social system surrounding energy technology and hardware. ERSS is relevant for energy practitioners, researchers interested in the social aspects of energy production or use, and policymakers.
Energy Research & Social Science (ERSS) provides an interdisciplinary forum to discuss how social and technical issues related to energy production and consumption interact. Energy production, distribution, and consumption all have both technical and human components, and the latter involves the human causes and consequences of energy-related activities and processes as well as social structures that shape how people interact with energy systems. Energy analysis, therefore, needs to look beyond the dimensions of technology and economics to include these social and human elements.