scholarly journals The Knife Edge Election of 2020: American Politics Between Washington, Kabul, and Weimar

2021 ◽  
Author(s):  
Thomas Ferguson ◽  
◽  
Paul Jorgensen ◽  
Jie Chen ◽  
◽  
...  
Keyword(s):  
Republican Party ◽  
Private Equity ◽  
Trade Policies ◽  
New Approach ◽  
Government Action ◽  
Industrial Structures ◽  
Social Protests ◽  
Industry Structures ◽  
The Impact ◽  
The Waves

This paper analyzes the 2020 election, focusing on voters, not political money, and emphasizing the importance of economic geography. Drawing extensively on county election returns, it analyzes how spatial factors combined with industrial structures to shape the outcome. It treats COVID 19’s role at length. The paper reviews studies suggesting that COVID 19 did not matter much, but then sets out a new approach indicating it mattered a great deal. The study analyzes the impact on the vote not only of unemployment but differences in income and industry structures, along with demographic factors, including religion, ethnicity, and race. It also studies how the waves of wildcat strikes and social protests that punctuated 2020 affected the vote in specific areas. Trump’s very controversial trade policies and his little discussed farm policies receive detailed attention. The paper concludes with a look at how political money helped make the results of the Congressional election different from the Presidential race. It also highlights the continuing importance of private equity and energy sectors opposed to government action to reverse climate change as conservative forces in (especially) the Republican Party, together with agricultural interests.

Survey Data Quality in Analyzing Harmonized Indicators of Protest Behavior: A Survey Data Recycling Approach

2021 ◽  
pp. 000276422110216
Author(s):  
Kazimierz M. Slomczynski ◽  
Irina Tomescu-Dubrow ◽  
Ilona Wysmulek
Keyword(s):  
Data Processing ◽  
Data Quality ◽  
Survey Data ◽  
A Priori ◽  
Data Sets ◽  
New Approach ◽  
Survey Quality ◽  
Survey Error ◽  
Ex Post ◽  
The Impact

This article proposes a new approach to analyze protest participation measured in surveys of uneven quality. Because single international survey projects cover only a fraction of the world’s nations in specific periods, researchers increasingly turn to ex-post harmonization of different survey data sets not a priori designed as comparable. However, very few scholars systematically examine the impact of the survey data quality on substantive results. We argue that the variation in source data, especially deviations from standards of survey documentation, data processing, and computer files—proposed by methodologists of Total Survey Error, Survey Quality Monitoring, and Fitness for Intended Use—is important for analyzing protest behavior. In particular, we apply the Survey Data Recycling framework to investigate the extent to which indicators of attending demonstrations and signing petitions in 1,184 national survey projects are associated with measures of data quality, controlling for variability in the questionnaire items. We demonstrate that the null hypothesis of no impact of measures of survey quality on indicators of protest participation must be rejected. Measures of survey documentation, data processing, and computer records, taken together, explain over 5% of the intersurvey variance in the proportions of the populations attending demonstrations or signing petitions.

Telephone-based consultation in an acute eye clinic service: A patient satisfaction survey

2021 ◽  
pp. 112067212110307
Author(s):  
Julia Sieberer ◽  
Patrick Hughes ◽  
Indy Sian
Keyword(s):  
Healthcare Professionals ◽  
Medical Specialties ◽  
New Approach ◽  
High Satisfaction ◽  
Negative Comments ◽  
Patient Responses ◽  
Set Up ◽  
Strongly Agree ◽  
The Impact ◽  
Park Hospital

Objectives: The coronavirus pandemic has forced healthcare staff across all medical specialties to adapt new and different ways of working. A new approach has been set up in the Acute Referral Clinic (ARC) at Musgrove Park Hospital and a survey has been conducted to measure the impact of the new method on patient and healthcare professionals’ satisfaction with the new service. Methods: A telephone-based consultation was introduced in ARC at Musgrove Park Hospital in March 2020 and patients were instructed to fill out a questionnaire containing eight items using a Likert Scale 1 (‘very poor/disagree’) to 4 (‘very good/strongly agree’) plus two boxes for open positive and negative comments respectively. Likewise a questionnaire was designed in order to assess the healthcare professionals’ satisfaction using the new approach. Data collection took place over a two month period between the end of March 2020 and end of May 2020. The data underwent quality control and was analysed using descriptive statistics. Results: Patient responses illustrated high satisfaction scores with an overall rating of very good (89.4%). The healthcare professionals’ rating of the service was good (28.6% – ‘very good/strongly agree’, 57.1% – ‘good/agree’). The safety rating of the new approach was overall rated ‘very good’ with 90.4% and 71.4% of patients and healthcare professionals respectively. Conclusions: The telephone consultations introduced in the wake of COVID-19 are well accepted by both patients and doctors. There are some limitations of the approach, foremost being consultation time and clinic space but these do not outweigh the general benefit of this format amidst a pandemic setting.

Impact of a New Teaching and Learning Approach in an Introductory Programming Course

2017 ◽  
Vol 55 (6) ◽  
pp. 789-819 ◽  
Author(s):  
Sohail Iqbal Malik ◽  
Jo Coldwell-Neilson
Keyword(s):  
Teaching And Learning ◽  
Positive Impact ◽  
Dropout Rates ◽  
Success Rates ◽  
Final Exam ◽  
Introductory Programming ◽  
New Approach ◽  
Course Materials ◽  
Didactic Triangle ◽  
The Impact

High failure and dropout rates are reported in introductory programming (IP) courses in different studies despite extensive research attempting to address the issue. In this study, we introduced an ADRI (Approach, Deployment, Result, Improvement) approach in the teaching and learning process of an IP course to improve learning and success rates. All three entities of the didactic triangle (student, instructor, and content) were involved in the research to better understand and execute the proposed approach. The IP course materials were redesigned based on the ADRI approach, and an editor was developed to promote the new approach and encourage students to complete the various stages required in the approach. Two surveys were conducted, and final exam grades over four semesters were compared with determine the impact of including the ADRI approach in the course. We concluded that the ADRI approach provides a positive impact on outcomes that the students achieved during the course. It engages students in practicing their programming skills and provides a new presentation style for examples and exercises which discourages students from taking programming shortcuts. It not only helps to reduce the failure and, significantly, the dropout rates from the IP course but also impacts positively on all students who passed the IP course.

The Impact of In-group Favoritism on Trade Preferences

2017 ◽  
Vol 71 (4) ◽  
pp. 827-850 ◽  
Author(s):  
Diana C. Mutz ◽  
Eunji Kim
Keyword(s):  
Well Being ◽  
Population Based ◽  
Trading Partner ◽  
Relative Advantage ◽  
Trade Policies ◽  
Partner Country ◽  
The Us ◽  
Trade Preferences ◽  
The Impact

AbstractUsing a population-based survey experiment, this study evaluates the role of in-group favoritism in influencing American attitudes toward international trade. By systematically altering which countries gain or lose from a given trade policy (Americans and/or people in trading partner countries), we vary the role that in-group favoritism should play in influencing preferences.Our results provide evidence of two distinct forms of in-group favoritism. The first, and least surprising, is that Americans value the well-being of other Americans more than that of people outside their own country. Rather than maximize total gains, Americans choose policies that maximize in-group well-being. This tendency is exacerbated by a sense of national superiority; Americans favor their national in-group to a greater extent if they perceive Americans to be more deserving.Second, high levels of perceived intergroup competition lead some Americans to prefer trade policies that benefit the in-group and hurt the out-group over policies that help both their own country and the trading partner country. For a policy to elicit support, it is important not only that the US benefits, but also that the trading partner country loses so that the US achieves a greater relative advantage. We discuss the implications of these findings for understanding bipartisan public opposition to trade.

A New Approach for Estimating the Observation Impact in Ensemble–Variational Data Assimilation

2018 ◽  
Vol 146 (2) ◽  
pp. 447-465 ◽  
Author(s):  
Mark Buehner ◽  
Ping Du ◽  
Joël Bédard
Keyword(s):  
Data Assimilation ◽  
Forecast Error ◽  
Forecast Model ◽  
Variational Data Assimilation ◽  
Observation Error ◽  
New Approach ◽  
Regional Prediction ◽  
Observation Impact ◽  
Adjoint Approach ◽  
The Impact

Abstract Two types of approaches are commonly used for estimating the impact of arbitrary subsets of observations on short-range forecast error. The first was developed for variational data assimilation systems and requires the adjoint of the forecast model. Comparable approaches were developed for use with the ensemble Kalman filter and rely on ensembles of forecasts. In this study, a new approach for computing observation impact is proposed for ensemble–variational data assimilation (EnVar). Like standard adjoint approaches, the adjoint of the data assimilation procedure is implemented through the iterative minimization of a modified cost function. However, like ensemble approaches, the adjoint of the forecast step is obtained by using an ensemble of forecasts. Numerical experiments were performed to compare the new approach with the standard adjoint approach in the context of operational deterministic NWP. Generally similar results are obtained with both approaches, especially when the new approach uses covariance localization that is horizontally advected between analysis and forecast times. However, large differences in estimated impacts are obtained for some surface observations. Vertical propagation of the observation impact is noticeably restricted with the new approach because of vertical covariance localization. The new approach is used to evaluate changes in observation impact as a result of the use of interchannel observation error correlations for radiance observations. The estimated observation impact in similarly configured global and regional prediction systems is also compared. Overall, the new approach should provide useful estimates of observation impact for data assimilation systems based on EnVar when an adjoint model is not available.

The Impact of Nontariff Trade Policy of European Union Crude Palm Oil Import on Indonesia, Malaysia, and the Rest of the World Economy: An Analysis in GTAP Framework

2020 ◽  
Vol 9 (1) ◽  
pp. 39-52
Author(s):  
Rozy A. Pratama ◽  
Tri Widodo
Keyword(s):  
European Union ◽  
Palm Oil ◽  
Computable General Equilibrium ◽  
Negative Impact ◽  
Trade Policies ◽  
The European Union ◽  
The World ◽  
Trade Analysis ◽  
Global Trade Analysis Project ◽  
The Impact

Indonesia and Malaysia are the largest producers and exporters of palm oil in the world vegetable oil market. Palm oil and its derivative products are the highest contributors to foreign exchange in 2018. This study aims to analyze the impact of the European Union import non-tariff trade policies on the Indonesian and Malaysian economies The analysis uses the Computable General Equilibrium (CGE) model of world trade on the Global Trade Analysis Project (GTAP) program. The results of this study found that the non-tariff import policy by the European Union had a negative impact on the economies of Indonesia and Malaysia. Moreover, the policy also has a negative impact on countries in Southeast Asia and the European Union. This shows that the enactment of non-tariff import trade policies for Indonesian and Malaysian palm oil products has a global impact.

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