An evaluation of feed-in tariffs for promoting household solar energy adoption in Southeast Queensland, Australia

Lan, Haifeng; Cheng, Bin; Gou, Zhonghua; Yu, Rongrong

doi:10.1016/j.scs.2019.101942

Cited by 55 publications

(19 citation statements)

References 42 publications

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“…A host of spatial econometric models, such as the spatial lag model (SLM), the spatial error model (SEM), and the spatial Durbin model (SDM), can address the spatial autocorrelation issue, and they have been widely used to explain the relationship between property prices and property characteristics [54][55][56][57][58]. The SLM and the SEM are two basic spatial econometric models and focus on the endogenous interaction relationship (or spatial interaction in the dependent variable) and the correlated relationship (or spatial interaction in the error term), respectively.…”

Section: Methodsmentioning

confidence: 99%

Impacts of Tourism Demand on Retail Property Prices in a Shopping Destination

2020

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Understanding the relationship between tourism demand and retail property prices is of great significance to tourist destinations, especially shopping destinations. The increase in tourism demand may alter the implicit prices of certain retail property characteristics (e.g., age and accessibility to transit). This study examines how tourism demand (measured by tourist volume) affects retail property prices in the tourist precinct of a shopping destination, namely Hong Kong. The implementation of the policy Individual Visit Scheme (IVS) in 2003 in Hong Kong has substantially increased tourist shoppers from Mainland China, and it is used as a quasi-natural experiment of the increased tourist volume. Spatial and non-spatial hedonic pricing models are developed based on the ground-floor retail property transaction data of Causeway Bay, Hong Kong before and after the IVS (1993–2011). The findings of this study are as follows. (1) Accessibility to transit has a larger positive price effect after the implementation of the IVS. (2) The implicit price of accessibility to accommodation facilities is not significantly altered by the implementation of the IVS. (3) Age has a larger negative price effect after the implementation of the IVS. The first two outcomes are related to the economic concerns of tourist shoppers, while the last can be explained by their hometown experience. Finally, practical implications are discussed.

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Section: Methodsmentioning

confidence: 99%

Impacts of Tourism Demand on Retail Property Prices in a Shopping Destination

2020

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“…Moran's I was adopted to reveal the spatial relevance relationship among the PTEs in the neighborhood set at each location [51]. Moran's I = 0, suggests a random spatial distribution, at −1 ≤ Moran's I < 0, there is a negative correlation, while 0 < Moran's I ≤ 1 suggests a positive correlation [52,53]. Moran's I testing was conducted using GeoDa software version 1.14.0 24 [54].…”

Section: Methodsmentioning

confidence: 99%

Spatial Distribution and Ecological Risks of the Potentially-Toxic Elements in the Surface Sediments of Lake Bosten, China

Abuduwaili

Liu

2020

Toxics

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Aiming at the pollution and ecological hazards of the lake sediments of Bosten Lake, once China’s largest inland lake, the spatial distribution and influencing factors of the potentially-toxic elements in its surface sediments were studied with the methods of spatial autocorrelation, two-way cluster analysis, and redundancy analysis. Finally, based on the background value of potentially-toxic elements extracted from a sediment core, a comprehensive evaluation of the risk of these potentially-toxic elements was conducted with the potential-ecological-risk index and the pollution-load index. With data on the grain size, bulk-rock composition, and organic matter content, this comprehensive analysis suggested that with the enrichment of authigenic carbonate minerals, the content of potentially-toxic elements exhibited distinctive characteristics representative of arid regions with lower values than those in humid region. All potentially-toxic elements revealed a significant spatial autocorrelation, and high-value areas mainly occurred in the middle and southwest. The content of potentially-toxic elements is related to Al2O3, K2O, Fe2O3, TiO2, MgO, and MnO, and the storage medium of potentially-toxic elements mainly consists of small particles with a grain size <16 μm. The pollution load index (PLI) for the whole lake due to the potentially-toxic elements was 1.31, and the surface area with a PLI higher than 1 and a moderate pollution level accounted for 87.2% of the total lake area. The research conclusions have an important scientific value for future lake ecological quality assessment and lake environment governance.

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“…For example, at the end of 2019, 11,000 MW of new generation was under construction or financially committed, representing $20.4 billion in investment and more than 14,500 jobs (Clean Energy Council, 2019). In addition, Australia has the highest uptake of solar power worldwide, with more than 21% of homes having rooftop solar PV systems (Lan et al, 2020). As of 31 August 2020, more than 2.53 million rooftop solar power systems had been installed across Australia (AER, 2020b).…”

Section: Responses To the Implementation Of Renewable Energy Policies In Australian Statesmentioning

confidence: 99%

Impact of the Nature of Energy Management and Responses to Policies Regarding Solar and Wind Pricing: A Qualitative Study of the Australian Electricity Markets

Alsaedi

Tularam

Wong

2021

IJEEP

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The present study employed various qualitative techniques to investigate the nature and influence of policies and regulations concerning solar and wind pricing on the Australian electricity spot and options markets. The analysis was based on data gathered through interviews conducted with energy managers, chief executive officers and other significant personnel from the Australian electricity industry. The interviewees' responses regarding the solar and wind policies of relevance to the Australian electricity markets were examined, and the thick and in-depth content data derived from the interviews were used to examine how their views and personal politics influenced pricing within the electricity markets. The results suggest that renewable energy policies lower the electricity prices, reduce the risks for investors and also result in larger deployment mechanisms.

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An evaluation of feed-in tariffs for promoting household solar energy adoption in Southeast Queensland, Australia

Cited by 55 publications

References 42 publications

Impacts of Tourism Demand on Retail Property Prices in a Shopping Destination

Impacts of Tourism Demand on Retail Property Prices in a Shopping Destination

Spatial Distribution and Ecological Risks of the Potentially-Toxic Elements in the Surface Sediments of Lake Bosten, China

Impact of the Nature of Energy Management and Responses to Policies Regarding Solar and Wind Pricing: A Qualitative Study of the Australian Electricity Markets

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