The Necessity of Pursuing Feminist Pedagogy in Economics

The purpose of this paper is to characterize feminist pedagogy within the context of economics instruction in the US and to contribute to the development of this paradigm by charting out a research agenda for feminist pedagogy in economics. Our argument proceeds in two parts. First, we answer the question, what is feminist pedagogy in economics (FPiE)? This section sets out a working definition and contextualizes FPiE within the broader pedagogy literature, within the pedagogy literature specific to economics, and within the practice of economics teaching today. Next, we explore new directions for research and practice in FPiE by discussing post-positivist epistemologies, resisting the depoliticization of economics education, and effective responses to diversity in the neoliberal university

Significant Learning in Principles of Economics: a Module on the Minimum Wage

The authors of this article make a case for using Fink’s (2013) taxonomy of significant learning in the economics classroom to improve standard-based economics education and to continue transforming the discipline to reduce social inequality along multiple dimensions, including gender, race, and class. Fink’s framework is defined by student engagement with six distinct kinds of learning. Changes in student attitudes, changes in what students know about themselves and others, and learning how to learn in different settings are learning outcomes that are incorporated explicitly alongside acquiring new discipline-specific knowledge and skills. The authors apply Fink’s taxonomy to a module on the minimum wage for principles of economics. They discuss potential activities and reflect on the benefits and challenges associated with using Fink’s taxonomy

Dissolved Phosphorus Concentrations in Surface Runoff from Agricultural Land Based on Calcium–Acetate–Lactate Soluble Phosphorus Soil Contents

The input of phosphorus (P) into aquatic systems can result in eutrophication that might manifest in algal blooms and oxygen deficiency and, subsequently, in a poor ecological status. Substance emission modeling on a river basin scale can help to quantify phosphorus emissions into surface water bodies and to address mitigation measures. The prerequisite is that suitable input data are available. The purpose of this study is to develop a modeling approach that allows the prediction of realistic phosphorus concentrations in surface runoff. During large-scale artificial rain experiments at 23 agricultural sites, dissolved P concentrations in surface runoff and subsurface flow were measured. The characteristics of the experimental sites were investigated by taking and analyzing soil samples and requesting information on the management from the farmers. From the data collected, two linear models were derived. The first model allows the prediction of dissolved phosphorus concentration in surface runoff from PCAL$_{soil}$ content. Applying the second model, the obtained concentration in surface runoff can be transferred to a concentration in subsurface flow. The resulting approaches were derived from realistic field experiments and, for the first time, allow the direct prediction of dissolved phosphorus concentrations in surface runoff and, in a second step, also in subsurface flow from spatially distributed PCAL$_{soil}$ content data. Integrating these approaches into substance emission models can improve their accuracy and, subsequently, allows a better planning of measures for the reduction in phosphorus emissions into surface water bodies

Rethinking compliance: essential cornerstones for more effectiveness in compliance management

In the past Compliance Management has often failed, the Volkswagen emissions scandal just being one prominent example. Not everything has to be reinvented, and not everything that companies have done in the past regarding Compliance is wrong. But it is about time to think Compliance in new ways. What does “Compliance Management 2.0” really depend on? The following article aims at laying out the cornerstones for enduring effective Compliance which amongst others comprises sincerity and credibility and a moral foundation. Furthermore, the commitment and role model behavior of top managers and the training of line managers are crucial for the effectiveness of any Compliance Management System (CMS). Ultimately, for Compliance to function efficiently the efforts must be adequate for the respective company and realistic regarding the achievable goals

The UK public's trust in tobacco industry involvement in science:an experimental survey

Introduction: Despite the tobacco industry’s (TI) decades-long history of manipulating science, Philip Morris International (PMI) now frames itself as a benevolent funder of science and, in 2017, launched a new scientific organisation, the Foundation for a Smoke-Free World (FSFW). With concerns mounting that PMI’s actions are echoing historical TI influence on science, we aimed to understand the extent to which the public trusts PMI’s involvement in science, and whether channelling funds through a third-party organisation affects these levels of trust.Methods:Through a representative survey of the UK public (n=1580) we investigated trust in direct (PMI), indirect (FSFW), and no (Cancer Research UK) TI involvement in science. Conservative worldview was investigated as a possible predictor of trust. Structural equation modelling was used to explore associations between variables.Results:Although PMI was significantly less trusted than FSFW and Cancer Research UK, the public did not completely distrust it as a scientific source. Trust in FSFW’s involvement in science was higher before participants understood its TI funding. People with conservative worldviews demonstrated greater trust in TI involvement in science.Discussion:The UK public needs to be better informed that the TI is not a trustworthy scientific source. Since channelling TI research funds through a third party increases the perceived trustworthiness of its science, steps to prevent such relationships are warranted. People with conservative leanings hold concerning views on TI involvement in science, which may be particularly hard to correct

Four Years of Sediment and Phosphorus Monitoring in the Kraichbach River Using Large-Volume Samplers

Various sampling strategies come into operation to monitor water quality in rivers. Most frequently, grab samples are taken, but they are not suitable for recording the highly dynamic transport of solids and solid-bound pollutants. Composite samples reduce the influence of input and transport dynamics and are better suited to determine the annual river loads. Large-volume samplers (LVSs) produce both a composite sample over a long period of time and an amount of solids which allows for further analyses. In the small sub-catchment area of the Kraichbach river in Baden-Wuerttemberg (Germany) two LVSs have been installed to sample the river flow. The concentration of solids and phosphorus in the supernatant water and the settled sediment in the sampler have been determined and mean concentrations have been derived. Annual river loads were calculated in combination with discharge data from the nearby gauging station. Two sampling strategies of the LVS were tested and compared. For the first strategy, the LVS was used to collect quasi-continuous composite samples throughout the year, whereas, with the second strategy, samples were taken specifically for different flow conditions (low, mean and high flow). This study compares the advantages and constraints of both strategies. Results indicate that the first strategy is better suited to determine annual river loads. Quasi-continuous large-volume composite sampling is recommended for further monitoring campaigns

The climatology and nature of warm-season convective cells in cold-frontal environments over Germany

Cold fronts provide an environment particularly favourable for convective initiation in the mid-latitudes and can also be associated with convective hazards such as flooding, wind, hail and lightning. We build a climatology of cold-frontal convective cells between 2007–2016 for April–September in a cell-front distance framework by combining a radar-based cell detection and tracking dataset and automatic front detection methods applied to reanalysis data. We find that on average around twice as many cells develop on cold-frontal cell days compared to non-cold-frontal cell days. Using the 700 hPa level as a reference point, we show the maximum cell frequency is 350–400 km ahead of the 700 hPa front, which is marginally ahead of the typical surface front location. The 700 hPa front location marks the minimum cell frequency and a clear shift in regime between cells, with a weakened diurnal cycle on the warm side of the 700 hPa cold front and strongly diurnally driven cells on the cold side of the 700 hPa front. High cell frequency is found several hundreds of kilometres ahead of the surface front, and cells in this region are most likely to be associated with mesocyclones, intense convective cores and lightning. Namely, mesocyclones were detected in around 5.0 % of pre-surface-frontal cells compared to only 1.5 % of non-cold-frontal cells. The findings in this study are an important step towards a better understanding of cold-frontal convection climatology and links between cold fronts and convective hazards

Use of monitoring approaches to verify the predictive accuracy of the modeling of particle-bound solid inputs to surface waters

For particle-bound substances such as phosphorus, erosion is an important input pathway to surface waters. Therefore, knowledge of soil erosion by water and sediment inputs to water bodies at high spatial resolution is essential to derive mitigation measures at the regional scale. Models are used to calculate soil erosion and associated sediment inputs to estimate the resulting loads. However, validation of these models is often not sufficiently possible. In this study, sediment input was modeled on a 10 × 10 m grid for a subcatchment of the Kraichbach river in Baden-Wuerttemberg (Germany). In parallel, large-volume samplers (LVS) were operated at the catchment outlet, which allowed a plausibility check of the modeled sediment inputs. The LVS produced long-term composite samples (2 to 4 weeks) over a period of 4 years. The comparison shows a very good agreement between the modeled and measured sediment loads. In addition, the monitoring concept of the LVS offers the possibility to identify the sources of the sediment inputs to the water body. In the case of the Kraichbach river, it was found that around 67% of the annual sediment load in the water body is contributed by rainfall events and up to 33% represents dry-weather load. This study shows that the modeling approaches for calculating the sediment input provide good results for the test area Kraichbach and the transfer for a German wide modeling will produce plausible values