Locational marginal emissions rates (LMEs) estimate the rate of change in due to a small demand transmission network, and are an important metric for assessing impact various energy policies or interventions. In this work, we develop new method computing LMEs electricity system via implicit differentiation. The is model agnostic; it can compute any convex optimization-based dispatch model, incl...

Empirical evidence showing that foreign affiliates perform better in almost all areas than their domestic counterparts is piling up. Yet, contrary to arguments of the public debate, it is not primarily foreign ownership which accounts for performance gaps between domestic firms and foreign affiliates. Firm-specific assets, firm characteristics, the home country of the parent firms and the trans...

This paper describes a novel methodology for generating models of demand for informal outdoor recreation. We analyze visitor data from multiple forest sites across Great Britain. We introduce a wide range of variables typically omitted from most economic demand models of recreation. These include on-site characteristics, and off-site locational drivers of visitation including substitute and com...

Six experiments were conducted to test the relative processing characteristics of picture-plane and three-dimensional imagery as indexed by tasks that required subjects to keep track of successive locations in multiunit visual displays. Subjects were shown symmetrical displays either drawn on cardboard or constructed with three-dimensional blocks. They then were required to imagine these matric...

keywords: knowledge management locational data privacy organizational learning weblogs klogs reputation systems authenticity Jo Ann Oravec is an Associate Professor in the College of Business and Economics at the University of Wisconsin at Whitewater (USA). She received her MBA, MA, MS and PhD degrees from the University of Wisconsin at Madison. She taught computer information systems and publi...

This paper examines the relationships between the built environment—both ‘neighborhood’ design characteristics and relative location—and motor vehicle ownership and use in a rapidly motorising, developing city context, that of Santiago de Chile. A vehicle choice model suggests that income dominates the household vehicle ownership decision, but also detects a relationship between several built e...