ORCID Profile
0000-0001-9797-9582
Current Organisation
University of Tasmania
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Publisher: Informa UK Limited
Date: 06-2023
Publisher: Elsevier BV
Date: 06-2018
Publisher: Federal Reserve Bank of Dallas
Date: 05-2020
DOI: 10.24149/GWP385
Publisher: Center for Open Science
Date: 02-03-2021
Abstract: This study investigated the potential of using the Department of Social Services DOMINO (Data Over Multiple In idual Occurrences) dataset as a fine-grained, within-year data resource for housing research, and in particular explores the capacity of the DOMINO dataset to yield new insights into patterns of CRA (Commonwealth Rent Assistance).
Publisher: Wiley
Date: 10-04-2023
Abstract: The industry ersity thesis of economic resilience to economic shocks is embedded in community development policy across Australia. The idea being that in the event of an economic shock some industries will prove more recession‐proof than others. The greater the industry ersity, the greater the likelihood of off‐setting industry effects, resulting in greater economic resilience. The COVID‐19 pandemic and the associated restrictions created a unique natural experiment to explore whether the industry ersity thesis holds true under the conditions of a global health pandemic. In this policy paper, we use JobKeeper applications as a proxy for decreased economic resilience. We explore if Australian local government areas (LGAs) with higher industry ersity had less necessity for JobKeeper. We also briefly consider if concentrations of certain industries acted as a better economic buffer to the COVID‐19 economic shock. We observe that as ersity increases, economic resilience strengthens except for Victoria (where the association is inverted). This observation has important implications for current and future policy formation and implementation across all layers of government.
Publisher: Australian Housing and Urban Research Institute (AHURI)
Date: 25-02-2021
Publisher: Elsevier BV
Date: 2022
Publisher: Elsevier BV
Date: 10-2018
Publisher: Wiley
Date: 22-01-2016
Publisher: Elsevier BV
Date: 10-2019
Publisher: Elsevier BV
Date: 2020
DOI: 10.2139/SSRN.3583295
Publisher: Elsevier BV
Date: 12-2022
DOI: 10.1016/J.MARPOLBUL.2022.114220
Abstract: At the global level, the UN 2030 Agenda for Sustainable Development Goal 14 calls for action to significantly reduce marine litter pollution by 2025. To understand the non-market benefits of removing marine litter, researchers have conducted numerous studies on Willingness to Pay (WTP) for reductions in beach litter. This paper estimates the overall effect size of WTP for a worldwide dataset of 63 primary studies over 22 years by applying a meta-regression technique to assess the variability in WTP estimates. The results show an annual mean effect size of $US0.71 (or $US35.29) per person for a 1 % (for a corresponding 50 %) reduction in all types of beach litter. The observed heterogeneity is associated with WTP elicitation methods, beach attributes, geographic locations, and per-capita income. This study yields valuable information for policy makers to develop cost-effective policies and recommends standardised measurements to benchmark changes in marine litter pollution.
Publisher: Elsevier BV
Date: 08-2022
Publisher: Wiley
Date: 10-08-2023
Abstract: There is a growing need to gauge local economic activity in real time. Localised economic challenges have been emphasised in the wake of the COVID‐19 pandemic. Real‐time trackers (such as OECD trackers) and other nowcasting applications typically correspond to national or highly aggregated regions. In this discussion paper, we briefly explore how unconventional data might be used to produce nowcasts of local economies. We argue that in the absence of traditional nowcasting metrics, efforts to nowcast local economies need a local perspective, with data capture tailored to address heterogeneity across three domains: (1) resources, (2) people and (3) life.
Publisher: Australian Housing and Urban Research Institute (AHURI)
Date: 26-03-2021
Abstract: This research examines the consequences of COVID-19 for households in regional Australia, and considers that post-pandemic recovery models designed for large cities may not work in regional areas or less-urbanised states.
Publisher: Wiley
Date: 18-01-2023
DOI: 10.1002/PPP3.10354
Abstract: Despite comprising a small proportion of global agricultural land use, irrigated agriculture is enormously important to the global agricultural economy. Burgeoning food demand driven by population growth—together with reduced food supply caused by the climate crisis—is polarising the existing tension between water used for agricultural production versus that required for environmental conservation. We show that sustainable intensification via more erse crop rotations, more efficient water application infrastructure and greater farm area under irrigation is conducive to greater farm business profitability under future climates. Research aimed at improving crop productivity often does not account for the complexity of real farms underpinned by land‐use changes in space and time. Here, we demonstrate how a new framework— WaterCan Profit —can be used to elicit such complexity using an irrigated case study farm with four whole‐farm adaptation scenarios ( Baseline , Diversified , Intensified and Simplified ) with four types of irrigated infrastructure ( Gravity , Pipe & Riser , Pivot and Drip ). Without adaptation, the climate crisis detrimentally impacted on farm profitability due to the combination of increased evaporative demand and increased drought frequency. Whole‐farm intensification—via greater irrigated land use, incorporation of rice, cotton and maize and increased nitrogen fertiliser application—was the only adaptation capable of raising farm productivity under future climates. Diversification through incorporation of grain legumes into crop rotations significantly improved profitability under historical climates however, profitability of this adaptation declined under future climates. Simplified systems reduced economic risk but also had lower long‐term economic returns. We conclude with four key insights: (1) When assessing whole‐farm profit, metrics matter: Diversified systems generally had higher profitability than Intensified systems per unit water, but not per unit land area (2) gravity‐based irrigation infrastructure required the most water, followed by sprinkler systems, whereas Drip irrigation used the least water (3) whole‐farm agronomic adaptation through management and crop genotype had greater impact on productivity compared with changes in irrigation infrastructure and (4) only whole‐farm intensification was able to raise profitability under future climates.
Publisher: Elsevier BV
Date: 2023
DOI: 10.2139/SSRN.4254379
Publisher: Springer Science and Business Media LLC
Date: 13-10-2022
DOI: 10.1038/S41598-022-20896-Z
Abstract: The climate crisis challenges farmer livelihoods as increasingly frequent extreme weather events impact the quantum and consistency of crop production. Here, we develop a novel paradigm to raise whole farm profit by optimising manifold variables that drive the profitability of irrigated grain farms. We build then invoke a new decision support tool— WaterCan Profit —to optimise crop type and areas that collectively maximise farm profit. We showcase four regions across a climate gradient in the Australian cropping zone. The principles developed can be applied to cropping regions or production systems anywhere in the world. We show that the number of profitable crop types fell from 35 to 10 under future climates, reflecting the interplay between commodity price, yield, crop water requirements and variable costs. Effects of climate change on profit were not related to long-term rainfall, with future climates depressing profit by 11–23% relative to historical climates. Impacts of future climates were closely related to crop type and maturity duration indeed, many crop types that were traditionally profitable under historical climates were no longer profitable in future. We demonstrate that strategic whole farm planning of crop types and areas can yield significant economic benefits. We suggest that future work on drought adaptation consider genetic selection criteria more erse than phenology and yield alone. Crop types with (1) higher value per unit grain weight, (2) lower water requirements and (3) higher water-use efficiency are more likely to ensure the sustainability and prosperity of irrigated grain production systems under future climates.
Publisher: Wiley
Date: 14-07-2015
Publisher: Center for Open Science
Date: 22-04-2021
Abstract: This research examines the consequences of COVID-19 for households in regional Australia, and considers that post-pandemic recovery models designed for large cities such as Sydney or Melbourne may not work in regional areas or less-urbanised states like South Australia or Tasmania.
Publisher: Elsevier BV
Date: 2023
Location: Argentina
Start Date: 2016
End Date: 2017
Funder: Australian Housing and Urban Research Institute
View Funded ActivityStart Date: 2016
End Date: 2017
Funder: Australian Housing and Urban Research Institute
View Funded ActivityStart Date: 2018
End Date: 2018
Funder: University of Tasmania
View Funded Activity