Equity, discrimination and remote policy: Investigating the centralization of remote service delivery in the Northern Territory

Two hypotheses have been advanced to explain the spatial patterning of service accessibility. The bureaucratic hypothesis holds that spatial inequalities are unpatterned and result from the application of decisions rules, while the competing political hypothesis suggests that politically-motivated decision making results in discriminatory outcomes. We use the example of the centralization of service provision in remote Indigenous communities in Australia's Northern Territory to show that these hypotheses may in fact be complementary. In recent years, government rhetoric about Australia's remote Indigenous communities has moved to focus on economic viability instead of social justice. One policy realization of this rhetoric has been the designation of ‘growth towns’ and ‘priority communities’ to act as service hubs for surrounding communities. The introduction of such hubs was examined and substantial inequality in access to service hubs was found. Inequality and overall system efficiency could be reduced with by optimizing the selection of hubs but the imposition of any hub-and-spoke mode in the study area was associated with racially-patterned patterned inequality of access. We conclude that when policy contexts are politically motivated, the application of racially-blind decision rules may result in raciallydiscriminatory spatial inequalities

A Shred of Credible Evidence on the Long Run Elasticity of Labor Supply

Virtually all public policies regarding taxation and the redistribution of income rely on explicit or implicit assumptions about the long run effect of wage rates on labor supply. The available estimates of the wage elasticity of male labor supply in the literature have varied between -0.2 and 0.2, implying that permanent wage increases have relatively small, poorly determined effects on labor supplied. The variation in existing estimates calls for a simple, natural experiment in which men can change their hours of work, and in which wages have been exogenously and permanently changed. We introduce a panel data set of taxi drivers who choose their own hours, and who experienced two exogenous permanent fare increases instituted by the New York City Taxi and Limousine Commission, and we use these data to fit a simple structural labor supply function. Our estimates suggest that the elasticity of labor supply is about -0.2, implying that income effects dominate substitution effects in the long run labor supply of males.labor supply

A Shred of Credible Evidence on the Long Run Elasticity of Labor Supply

The available estimates of the wage elasticity of male labor supply in the literature have varied between -0.2 and 0.2, implying that permanent wage increases have relatively small, poorly determined effects on labor supplied. The variation in existing estimates calls for a simple, natural experiment in which men can change their hours of work, and in which wages have been exogenously and permanently changed. We introduce a panel data set of taxi drivers who choose their own hours, and who experienced two exogenous permanent fare increases instituted by the New York City Taxi and Limousine Commission. Our preferred estimate suggests that their elasticity of labor supply is about -0.2.male labor supply, effect of wage rates, long run labor supply, public policies, taxation, social safety nets, and redistribution of income, New York City Taxi and Limousine Commission

A shred of credible evidence on the long run elasticity of labor supply

Virtually all public policies regarding taxation and the redistribution of income rely on explicit or implicit assumptions about the long run effect of wage rates on labor supply. The available estimates of the wage elasticity of male labor supply in the literature have varied between -0.2 and 0.2, implying that permanent wage increases have relatively small, poorly determined effects on labor supplied. The variation in existing estimates calls for a simple, natural experiment in which men can change their hours of work, and in which wages have been exogenously and permanently changed. We introduce a panel data set of taxi drivers who choose their own hours, and who experienced two exogenous permanent fare increases instituted by the New York City Taxi and Limousine Commission, and we use these data to fit a simple structural labor supply function. Our estimates suggest that the elasticity of labor supply is about -0.2, implying that income effects dominate substitution effects in the long run labor supply of males

A Shred of Credible Evidence on the Long Run Elasticity of Labor Supply

Virtually all public policies regarding taxation and the redistribution of income rely on explicit or implicit assumptions about the long run effect of wages rates on labor supply. The available estimates of the wage elasticity of male labor supply in the literature have varied between -0.2 and 0.2, implying that permanent wage increases have relatively small, poorly determined effects on labor supplied. The variation in existing estimates calls for a simple, natural experiment in which men can change their hours of work, and in which wages have been exogenously and permanently changed. We introduce a panel data set of taxi drivers who choose their own hours, and who experienced two exogenous permanent fare increases instituted by the New York City Taxi and Limousine Commission, and we use these data to fit a simple structural labor supply function. Our estimates suggest that the elasticity of labor supply is about -0.2, implying that income effects dominate substitution effects in the long run labor supply of males.

Initial results from a GIS-based unsupervised classification study of the Martian surface

Maps of thermal inertia-albedo units and thermal inertia-elevation units on Mars’ surface have been generated by choosing thresholds that fit the strongest peaks in the histograms of these datasets. The units thus defined were then interpreted as distinct mixtures of materials on the surface, such as: bright fines, rock + bedrock and ice. We have conducted an initial classification of Thermal Emission Spectrometer (TES) night-time thermal inertia and TES albedo using a hard classifier. The methods used here are largely unsupervised and differ from those of previous studies. The aim of our study is to investigate what information can be obtained by utilising unsupervised classification algorithms to investigate the distribution of thermal materials on the surface of Mars. We find that unsupervised classification reveals additional structure in the clustering and spatial distribution of surface materials with moderate-low albedo and moderate-high thermal inertia. We highlight a number of regions such as Acidalia and Valles Marineris for future detailed studies of this type.National Committee for Space Science (NCSS), National Space Society of Australia (NSSA

Improving spatial microsimulation estimates of health outcomes by including geographic indicators of health behaviour: The example of problem gambling

Gambling is an important public health issue, with recent estimates ranking it as the third largest contributor of disability adjusted life years lost to ill-health. However, no studies to date have estimated the spatial distribution of gambling-related harm in small areas on the basis of surveys of problem gambling. This study extends spatial microsimulation approaches to include a spatially-referenced measure of health behaviour as a constraint variable in order to better estimate the spatial distribution of problem gambling. Specifically, this study allocates georeferenced electronic gaming machine expenditure data to small residential areas using a Huff model. This study demonstrates how the incorporation of auxiliary spatial data on health behaviours such as gambling expenditure can improve spatial microsimulation estimates of health outcomes like problem gambling.Collection of data analysed in this study was jointly funded by the Australian Research Council and the Community Benefit Fund of the Northern Territory (ARC Linkage Grant LP0990584)

A meta-regression analysis of 41 Australian problem gambling prevalence estimates and their relationship to total spending on electronic gaming machines

Background: Many jurisdictions regularly conduct surveys to estimate the prevalence of problem gambling in their adult populations. However, the comparison of such estimates is problematic due to methodological variations between studies. Total consumption theory suggests that an association between mean electronic gaming machine (EGM) and casino gambling losses and problem gambling prevalence estimates may exist. If this is the case, then changes in EGM losses may be used as a proxy indicator for changes in problem gambling prevalence. To test for this association this study examines the relationship between aggregated losses on electronic gaming machines (EGMs) and problem gambling prevalence estimates for Australian states and territories between 1994 and 2016. Methods: A Bayesian meta-regression analysis of 41 cross-sectional problem gambling prevalence estimates was undertaken using EGM gambling losses, year of survey and methodological variations as predictor variables. General population studies of adults in Australian states and territory published before 1 July 2016 were considered in scope. 41 studies were identified, with a total of 267,367 participants. Problem gambling prevalence, moderate-risk problem gambling prevalence, problem gambling screen, administration mode and frequency threshold were extracted from surveys. Administrative data on EGM and casino gambling loss data were extracted from government reports and expressed as the proportion of household disposable income lost. Results: Money lost on EGMs is correlated with problem gambling prevalence. An increase of 1% of household disposable income lost on EGMs and in casinos was associated with problem gambling prevalence estimates that were 1.33 times higher [95% credible interval 1.04, 1.71]. There was no clear association between EGM losses and moderate-risk problem gambling prevalence estimates. Moderate-risk problem gambling prevalence estimates were not explained by the models (I2 ≥ 0.97; R2 ≤ 0.01). Conclusions: The present study adds to the weight of evidence that EGM losses are associated with the prevalence of problem gambling. No patterns were evident among moderate-risk problem gambling prevalence estimates, suggesting that this measure is either subject to pronounced measurement error or lacks construct validity. The high degree of residual heterogeneity raises questions about the validity of comparing problem gambling prevalence estimates, even after adjusting for methodological variations between studies

Identifying spatial conservation priorities using Traditional and Local Ecological Knowledge of iconic marine species and ecosystem threats

Marine Protected Areas (MPAs) can be an effective spatial approach to conservation, especially when they involve genuine consultation that considers the diversity of stakeholders. Participatory mapping and semistructured interviews were conducted with 52 stakeholders and 22 managers and scientists to identify ecological priorities and concerns across a large temperate MPA in Port Stephens-Great Lakes Marine Park, Australia. There were 19 iconic species of fish, dolphins, whales, and sea turtles that were the focus of ecological priorities and stakeholder interactions with the marine environment. Effectiveness of the current MPA management plan for addressing stakeholder priority and concerns, was assessed using GIS spatial modelling that created fuzzy-set species distribution models (SDMs) based on Traditional and Local Ecological Knowledge as well as scientific and citizen-science survey data. These spatial models for the iconic species across the MPA were then overlaid with ecological concerns of the stakeholders to create a spatial understanding of local threats, and priority areas for targeted management. Poor water quality from terrestrial primary sources was the main concern of stakeholders, more so than in-water threats such as poor fishing practices or impacts to iconic species. While local managers and scientists were relatively reluctant to answer interview questions, there was a general misalignment in approaches to iconic species management, especially for mobile and migratory species, and misunderstanding of stakeholder perceptions of threats. Participatory mapping of social-ecological values provides a method for stakeholders and decision-makers to better understand, discuss, and adapt marine spatial management approaches that support a diversity of conservation and management priorities.Thank you to the Lesslie Research Scholarship in Landscape Conservation and Ecology grant, the Fenner School of Environment and Society, Australian National University, and the Australian Government Research Training Program Scholarship for funding this research project