Environmental Macroeconomics: Extending the IS–LM Model to Include an 'Environmental Equilibrium' Curve

A decade has now passed since Daly made a plea for an environmental macroeconomics. Despite an expanding literature on "green" national accounting and the efforts of ecological economists to measure the sustainable net benefits of a growing macroeconomy, it is only recently that Daly's plea has been adequately answered. This has been achieved with the incorporation by Heyes of an "environmental equilibrium" or EE curve into the familiar IS–LM model. However, the IS–LM–EE model proposed by Heyes is incomplete. By extending Heyes' model to include the role of technological progress and the need to institute policy instruments to ensure operation on the EE curve, this paper sends out a clear message that environmental concerns should be incorporated into macroeconomic models. They should not be solely confined to microeconomics.     

Analyzing the volume and nature of emergency medical calls during severe weather events using regression methodologies

An effective emergency medical service (EMS) response to emergency medical calls during extreme weather events is a critical public service. Nearly all models for allocating EMS resources focus on normal operating conditions. However, public health risks become even more critical during extreme weather events, and hence, EMS systems must consider additional needs that arise during weather events to effectively respond to and treat patients. This paper seeks to characterize how the volume and nature of EMS calls are affected during extreme weather events with a particular focus on emergency preparedness. In contrast to other studies on disaster relief, where the focus is on delivery of temporary commodities, we focus on the delivery of routine emergency services during blizzards and hurricane evacuations. The dependence of emergency service quality on weather conditions is explored through a case study using real-world data from Hanover County, Virginia. The results suggest that whether it is snowing is significant in nearly all of the regression models. Variables associated with increased highway congestion, which become important during hurricane evacuations, are positively correlated with an increased call volume and the likelihood of high-risk calls. The analysis can aid public safety leaders in preparing for extreme weather events.     

What is a strategic acquisition? Decision modeling in support of foreclosed housing redevelopment

This paper describes and develops a model for calculating location-based strategic values of foreclosed properties considered for acquisition and redevelopment by community development corporations (CDCs). A property’s strategic value refers to its proximity to site-specific neighborhood amenities and disamenities (e.g. schools, public transit, distressed properties), given the relative importance of that proximity to CDC organizational and community objectives. We operationalize the concept of strategic value, and apply this concept to a salient public sector decision problem. Using data and value assessments from a CDC engaged in foreclosed housing redevelopment, we compute measures of strategic value for a set of acquisition candidates. We show that strategic values can differ in systematic ways depending on the types of amenities and disamenities identified as relevant for CDC acquisition decisions, the relative importance assigned to those amenities and disamenities, and the utility maximization objectives of the CDC. We conclude by proposing a multi-criteria decision model for foreclosed housing acquisition and redevelopment which incorporates a theory of residential housing impacts for which strategic value measures are a special case.     

A true simulation study of three estimators at equal protection of respondents in randomized response sampling

In this study, three different estimators for estimating the proportion of a sensitive attribute in survey sampling are compared at equal protection of the respondents. The three estimators considered are due to Odumade and Singh (2009, Comm. Statist. Theory Methods) , Singh and Sedory (2011, Sociological Methods and Research) and a new estimator obtained by minimizing a chi‐squared distance. A SAS Macro is developed to compare these three estimators using a simulation study at equal protection of the respondents. A set of data from a real face‐to‐face interview was collected using two decks of cards and has been analyzed. The results are discussed.     

Designer stories: a commentary on the community of design practice

This research explores the design practice of three prominent New Zealand designers. It seeks to identify the key elements and methodologies they employ and to answer the research question: How do designers design? The need to gain understanding on how designers work, gave me occasion to visit and speak with designers about their approach to design. To look inside a designer’s practice has left me with an overriding impression that these designers know and trust their own way of working, they do not map their thoughts onto a pre-existing process; rather, each new work dictates its own direction. Their understanding has come about through a wealth of design experiences, a way of seeing, and perceptive reflection-in-action.     

The industrial brand personality scale: Building strong business-to-business brands

To remain distinct and build strong business relationships in a competitive business-to-business (B2B) environment, an increasing number of industrial marketers attempt to exploit the potential of branding. However, brand management in the industrial sector is still at its starting point. For this reason, the authors introduce the concept of brand personality to industrial markets. Based on a series of qualitative and quantitative studies, the authors develop and validate an Industrial Brand Personality Scale. Furthermore, they examine whether brand personality perception differences exist among different types of industrial transactions and among different members in the buying center. The analysis yields a framework for theoretical discussion and provides B2B managers with a tool to build strong B2B brands in an increasingly competitive industrial market.