Social and Behavioral Sciences | Open Access Articles

Bioregional Assessment Project: Sydney Metropolitan, Southern Rivers And Hawkesbury-Nepean Catchments: Data Collation Phase To Study The Impact Of Mining Activity And Coal Seam Gas On Environmental Assets, John Bradd, Tim Cohen, Sam Marx, Sol Buckman, Emma Burkhardt, A Clarke, Nicole Cook, Stephen Cullen, James Daley, Alexi Gavin, Ren Hu, Emma Kiekebosch-Fitt, Matt Lemcke, Andrew Lowe, Thomas Mcmahon, Luke Mcneilage, Kaitlyn O'Mara, Garth Nagle, Sam Robson, Carolyn Silveri, Joe Stammers

Samuel K Marx

This study was commissioned by the Hawkesbury-Nepean (HNCMA), Sydney Metropolitan (SMCMA) and Southern Rivers (SRCMA) Catchment Management Authorities and undertaken by the University of Wollongong to collate existing data and to provide a preliminary assessment of the potential impacts of coal seam gas (CSG) and coal mining activities on environmental assets within the three CMA regions, where environmental assets were defined under three broad themes; water, land and biodiversity. This study formed part of the Australian Federal Government’s Department of Sustainability, Environment, Water, Population and Communities (SEWPaC) Bioregional Assessment initiative within regions potentially affected by CSG and coal mining activities. …

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Determining Data Information Literacy Needs: A Study Of Students And Research Faculty, Jake R. Carlson, Michael Fosmire, Chris Miller, Megan R. Sapp Nelson

Michael Fosmire

Researchers increasingly need to integrate the disposition, management and curation of their data into their current workflows. However, it is not yet clear to what extent faculty and students are sufficiently prepared to take on these responsibilities. This paper articulates the need for a data information literacy program (DIL) to prepare students to engage in such an “e-research” environment. Assessments of faculty interviews and student performance in a geoinformatics course provide complementary sources of information, which are then filtered through the perspective of ACRL’s information literacy competency standards to produce a draft set of outcomes for a data information literacy …

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Are Low-Skill Public Sector Workers Really Overpaid? A Quasi-Differenced Panel Data Analysis, Peter Siminski

Peter Siminski

Public–private sectoral wage differentials have been studied extensively using quantile regression techniques. These typically find large public sector premiums at the bottom of the wage distribution. This may imply that low skill workers are ‘overpaid’, prompting concerns over efficiency. We note several other potential explanations for this result and explicitly test whether the premium varies with skill, using Australian data. We use a quasi-differenced Generalized Method of Moments (GMM) panel data model which has not been previously applied to this topic, internationally. Unlike other available methods, this technique identifies sectoral differences in returns to unobserved skill. It also facilitates a …

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A History Of Financial Regulation In The Usa From The Beginning Until Today: 1789 To 2011, Gary Richardson

Gary Richardson

No abstract provided.

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Samuel K Marx

Determining Data Information Literacy Needs: A Study Of Students And Research Faculty, Jake R. Carlson, Michael Fosmire, Chris Miller, Megan R. Sapp Nelson

Michael Fosmire

Are Low-Skill Public Sector Workers Really Overpaid? A Quasi-Differenced Panel Data Analysis, Peter Siminski

Peter Siminski

A History Of Financial Regulation In The Usa From The Beginning Until Today: 1789 To 2011, Gary Richardson

Gary Richardson