Economics of respiratory disease in dairy replacement heifers

2020 ◽  
Vol 21 (2) ◽  
pp. 143-148
Author(s):  
Michael W. Overton
Keyword(s):  
Respiratory Disease ◽  
Milk Production ◽  
Incident Case ◽  
Data Set ◽  
Dairy Heifers ◽  
The Usa ◽  
History Of ◽  
On Farm ◽  
The Impact ◽  
Selective Culling

AbstractBovine respiratory disease (BRD) is a frequent disease concern in dairy cattle and is most commonly diagnosed in young dairy heifers. The impact of BRD is highly variable, depending on the accuracy and completeness of detection, effectiveness of treatment, and on-farm culling practices. Consequences include decreased rate of weight gain, a higher culling risk either as heifers or as cows, delayed age at first service, delayed age at first calving, and in some cases, lower future milk production. In this data set of 104,100 dairy replacement heifers from across the USA, 36.6% had one or more cases diagnosed within the first 120 days of age with the highest risk of new cases occurring prior to weaning. Comparison of the raising cost for heifers with BRD and those without a recorded history of BRD resulted in an estimated cost per incident case occurring in the first 120 days of age of $252 or $282, depending upon whether anticipated future milk production differences were considered or not. Current market conditions contributed to a cost estimate that is significantly higher than previously published estimates, driven in part by the losses associated with selective culling of a subset of heifers that experienced BRD.

Socio-Technological Aspects of Automation in Public Works Activities

1987 ◽  
Vol 19 (3-4) ◽  
pp. 633-643
Author(s):  
William F. Garber
Keyword(s):  
Industrial Revolution ◽  
Work Force ◽  
Public Works ◽  
Human Society ◽  
Training Problem ◽  
Total Employment ◽  
The Usa ◽  
History Of ◽  
Complete Automation ◽  
The Impact

The history of human society is replete with examples of advances in technology overrunning the ability of societal organizations to efficiently handle the resulting massive societal dislocations. The social impacts of the “Industrial Revolution of the 18th and 19th Centuries” illustrate how profound such effects can be. The automation-computer-robotics revolution now underway also has the potential for serious societal changes. In this regard public works activities are subject to increasing amounts of automation with impacts upon current and net total employment and training needs. To evaluate the present status of automation in the USA, questionnaires were sent to public works authorities in 110 cities or agencies. The current degree of automation, the impact upon employment and the skills now needed by public works employers were queried. It was found that in most cases automation was just starting; but that as complete automation as was possible was inevitable given the increasing complexity of the tasks, the demands of the public and the long term prospects for public works funding. In many cases the candidates now in the work force were not properly trained for automation needs. Retraining and changes in the educational system appeared necessary if the employees now needed were to be continuously available. Public works management as well as several labor organizations appeared to be aware of this need and were organizing to handle the training problem and the changes in employment qualifications now necessary. It appeared to be a consensus that the larger societal effects of automation should be handled by society as a whole.

scholarly journals Social Frontiers: Estimating the Spatial Boundaries Between Residential Groups and Their Impacts on Crime

2021 ◽  
pp. 285-304
Author(s):  
Ivana Křížková ◽  
Meng Le Zhang ◽  
Dan Olner ◽  
Gwilym Pryce
Keyword(s):  
Cultural Distance ◽  
Free Market ◽  
Poisson Model ◽  
Distance Measures ◽  
The Usa ◽  
Short Run ◽  
History Of ◽  
Conditional Autoregressive ◽  
The Uk ◽  
The Impact

AbstractInthischapter, we highlight the importance of social frontiers—sharp spatial divisions in the residential make-up of adjacent communities—as a potentially important form of segregation. The handful of studies estimating the impacts of social frontiers have been based in the USA and the UK, both of which are free-market democracies with a long history of immigration, ethnic mix and segregation. There are currently no studies of social frontiers in former socialist countries, for example, or in countries where immigration and ethnic mix are only a recent phenomenon or non-existent. This chapter aims to address this research gap by estimating the impacts of social frontiers on crime rates in a post-socialistcountry, Czechia. We demonstrate how a Bayesianspatial conditional autoregressive estimation can be used to detect social frontiers in this setting, and we use a fixed effect quasi-Poisson model to investigate the impact on crime. Our results suggest that in new immigration destinations, social frontiers may not be associated with higher rates of crime, at least in the short run. Moreover, our use of cultural distance measures helps to promote a more nuanced approach to studying the impact of segregation and highlights the role of cultural diversity in understanding the link between immigrant segregation and crime. We reflect on how this approach could contribute to the study of segregation and inequality in the Chinese context.

“When I get older, I wanna be an entrepreneur”: the impact of disability and dyslexia on entrepreneurial self-efficacy perception

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Benjamin Powers ◽  
Séverine Le Loarne-Lemaire ◽  
Adnane Maalaoui ◽  
Sascha Kraus
Keyword(s):  
Self Efficacy ◽  
Negative Impact ◽  
Research Question ◽  
Entrepreneurial Intention ◽  
Economic Life ◽  
Entrepreneurial Intentions ◽  
Data Set ◽  
Content Type ◽  
The Usa ◽  
The Impact

PurposeThis article contributes to the literature on entrepreneurship for people with disabilities through a better understanding of the impact of entrepreneurial self-efficacy perceptions on entrepreneurial intentions in populations with lower levels of self-esteem. It investigates the entrepreneurial intention and self-efficacy of a population of students suffering from dyslexia, which is a learning disability.Design/methodology/approachThe paper is based on the study of a data set of 796 male and female adolescents in the USA, aged 13–19 years, both with and without dyslexia. The sample is a convenient one. The whole sample replied to the questionnaire on their self-efficacy perception and their intention to create, one day, their own venture. They also self-declare their dyslexia. Regressions have been conducted to answer the research question.FindingsResults show that having dyslexia has a negative impact on entrepreneurial self-efficacy perceptions. They also reveal that self-efficacy perceptions mediate the relationship between dyslexia and entrepreneurial intentions and their three antecedents (social norms, control behavior and perceived ability).Research limitations/implicationsThe sample is composed of students from private schools and might socially be biased.Practical implicationsOur findings relaunch the debate on the necessity to develop education programs that consider the personal-level variables of students, specifically the development of entrepreneurial self-efficacy among adolescents with disabilitiesSocial implicationsSuch findings should help to better understand students who are suffering from dyslexia and help them find a place in society and economic life.Originality/valueThis is so far the first study that has been conducted on dyslexic adolescents.

Introduction to the Special Issue on Faith-Based Organizing in the USA

2012 ◽  
Vol 6 (4) ◽  
pp. 383-397
Author(s):  
Katie Day
Keyword(s):  
Community Organizing ◽  
Political Discourse ◽  
Social Mobilization ◽  
Special Issue ◽  
Faith Based ◽  
The Us ◽  
The Usa ◽  
History Of ◽  
Community Organizer ◽  
The Impact

Abstract This article serves as an introduction to faith-based community organizing and to this special issue of IJPT. First, an overview of the history of community organizing in the US includes introductions to the key figures (Saul Alinsky and Ed Chambers), organizing networks and methods currently employed. Then current challenges to community organizing are explored, such as technology, gender and race. Further, the rigid distinction between broad-based and issue organizing is challenged. Finally, the article notes that the impact of Barack Obama’s background as a community organizer on political discourse has raised the profile of this form of social mobilization, and it is reframing the questions raised for public theologians as community organizing moves into the future.

Labor supply and productivity responses to non-salary benefits

2016 ◽  
Vol 45 (5) ◽  
pp. 1047-1068 ◽  
Author(s):  
Marilyn Spencer ◽  
Deniz Gevrek ◽  
Valrie Chambers ◽  
Randall Bowden
Keyword(s):  
Employee Retention ◽  
Low Cost ◽  
Full Time ◽  
Employee Benefit ◽  
Data Set ◽  
Content Type ◽  
College Tuition ◽  
The Usa ◽  
Faculty And Staff ◽  
The Impact

Purpose – The purpose of this paper is to explore the impact of a particular low marginal-cost employee benefit on employees’ intended retention and performance. By utilizing a unique data set constructed by surveying full-time faculty and staff members at a public university in the USA, the authors study the impact of this employee benefit on faculty and staff performance and retention. Design/methodology/approach – The authors focus on the impact of reduction in dependent college tuition at various levels on employees’ intentions to work harder and stay at their current job by using both OLS and ordered probit models. The authors also simulate the direct opportunity cost (reduction in revenue) in dollars and as a percent of total budgeted revenue to facilitate administrative decision making. Findings – The results provide evidence that for institutions where employee retention and productivity are a priority, maximizing or offering dependent college tuition waiver may be a relatively low-cost benefit to increase retention and productivity. In addition, the amount of the tuition waiver, number of dependents and annual salary are statistically significant predictors of intended increased productivity and intent to stay employed at the current institution. Originality/value – Employee retention and productivity is a challenge for all organizations. Although pay, benefits and organizational culture tend to be key indicators of job satisfaction, little attention is given to specific types of benefits. This study is the first comprehensive attempt to explore the relationship between the impact of this low-cost employee benefit and employee performance and retention in a higher education institution in the USA.

Church Growth at Fuller

1986 ◽  
Vol 14 (4) ◽  
pp. 401-420
Author(s):  
Arthur F. Glasser
Keyword(s):  
Church Growth ◽  
Theological Seminary ◽  
Church Life ◽  
The Sixties ◽  
The Usa ◽  
History Of ◽  
Fuller Theological Seminary ◽  
World Missions ◽  
The Impact ◽  
The Church

Conceding that the “church growth” concept and methodology have come under fire, the author shares an insider's reflections on how the movement has fared since Donald McGavran originated it three decades ago. The history of the movement and the relation between the Institute for Church Growth and the School of World Missions at Fuller Theological Seminary are traced. Dialogue and controversy with the WCC in the sixties, and growing influence within the Lausanne movement in the seventies, are sketched. The impact and consequences of church growth for world missions and for church life in the USA are noted. Finally, in a series of “random thoughts,” Glasser appraises both the strengths and weaknesses of the church growth concept, affirms that it is being corrected and enlarged, and claims for it an enduring place in the church's evolving missionary strategy of the eighties.

scholarly journals Birthplace diversity and economic growth: evidence from the US states in the Post-World War II period

2019 ◽  
Author(s):  
Frédéric Docquier ◽  
Riccardo Turati ◽  
Jérôme Valette ◽  
Chrysovalantis Vasilakis
Keyword(s):  
Economic Growth ◽  
World War Ii ◽  
College Education ◽  
Large Set ◽  
Market Outcomes ◽  
Data Set ◽  
Us States ◽  
The Usa ◽  
Rich Data ◽  
The Impact

Abstract This paper empirically investigates the impact of birthplace diversity on economic growth. We use panel data on US states over the 1960–2010 period. This rich data set allows us to better deal with endogeneity issues and to conduct a large set of robustness checks. Our results suggest that diversity among college-educated immigrants positively affects economic growth. We provide converging evidence pointing at the existence of skill complementarities between workers trained in different countries. These synergies result in better labor market outcomes for native workers and in higher productivity in the R&D sector. The gains from diversity are maximized when immigrants originate from economically or culturally distant countries (but not both), and when they acquired part of their secondary education abroad and their college education in the USA. Overall, a 10% increase in high-skilled diversity raises GDP per capita by about 6%. On the contrary, low-skilled diversity has insignificant effects.

Driving forces for the US residential housing price: a predictive analysis

2019 ◽  
Vol 9 (4) ◽  
pp. 515-529
Author(s):  
Amirhosein Jafari ◽  
Reza Akhavian
Keyword(s):  
Real Estate ◽  
Predictive Models ◽  
Driving Forces ◽  
Housing Prices ◽  
Housing Price ◽  
Data Set ◽  
Content Type ◽  
The Usa ◽  
Decision Making Processes ◽  
The Impact

Purpose The purpose of this paper is to determine the key characteristics that determine housing prices in the USA. Data analytical models capable of predicting the driving forces of housing prices can be extremely useful in the built environment and real estate decision-making processes. Design/methodology/approach A data set of 13,771 houses is extracted from the 2013 American Housing Survey (AHS) data and used to develop a Hedonic Pricing Method (HPM). Besides, a data set of 22 houses in the city of San Francisco, CA is extracted from Redfin real estate brokerage database and used to test and validate the model. A correlation analysis is performed and a stepwise regression model is developed. Also, the best subsets regression model is selected to be used in HPM and a semi-log HPM is proposed to reduce the problem of heteroscedasticity. Findings Results show that the main driving force for housing transaction price in the USA is the square footage of the unit, followed by its location, and its number of bathrooms and bedrooms. The results also show that the impact of neighborhood characteristics (such as distance to open spaces and business centers) on the housing prices is not as strong as the impact of housing unit characteristics and location characteristics. Research limitations/implications An important limitation of this study is the lack of detailed housing attribute variables in the AHS data set. The accuracy of the prediction model could be increased by having a greater number of information regarding neighborhood and regional characteristics. Also, considering the macro business environment such as the inflation rate, the interest rates, the supply and demand for housing, and the unemployment rates, among others could increase the accuracy of the model. The authors hope that the presented study spurs additional research into this topic for further investigation. Practical implications The developed framework which is capable of predicting the driving forces of housing prices and predict the market values based on those factors could be useful in the built environment and real estate decision-making processes. Researchers can also build upon the developed framework to develop more sophisticated predictive models that benefit from a more diverse set of factors. Social implications Finally, predictive models of housing price can help develop user-friendly interfaces and mobile applications for home buyers to better evaluate their purchase choices. Originality/value Identification of the key driving forces that determine housing prices on real-world data from the 2013 AHS, and development of a prediction model for housing prices based on the studied data have made the presented research original and unique.

scholarly journals Growth failure associated with early neglect: pilot comparison of neglected US children and international adoptees

2015 ◽  
Vol 28 (1-2) ◽  
Author(s):  
Bradley S. Miller ◽  
Eve G. Spratt ◽  
John H. Himes ◽  
Doreen Condon ◽  
Andrea Summer ◽  
...  
Keyword(s):  
Growth Hormone ◽  
Growth Parameters ◽  
Growth Failure ◽  
Insulin Growth Factor ◽  
Growth Hormone Action ◽  
International Adoptees ◽  
The Usa ◽  
History Of ◽  
Us Children ◽  
The Impact

AbstractThe long-lasting impact of different neglectful environments on growth in children is not well studied. Three groups of children, 3–10 years old, were recruited (n=60): previously institutionalized international adoptees living in stable home environments for at least 2 years (IA; n=15), children with a history of neglect born in the USA (USN; n=17), and controls (n=28). Children underwent physical examination, anthropometry, and collection of serum for growth parameters. Mean height standard deviation scores (SDS) were different (p<0.05). Age-adjusted head circumference (HC) was significantly smaller (p<0.05) in IAs. Insulin growth factor (IGF-1), a marker of growth hormone action, was higher in US neglected children. IGF-1 adjusted for age and weight SDS were different (p<0.05) between control and US neglect groups. The degree of growth failure in height and HC in IAs was more severe than neglected US children. These findings may reflect differences between the impact of chronic and intermittent deprivation on the growth hormone system.

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