scholarly journals A Methodological Intervention in Cosmopolitanism Research: Cosmopolitan Dispositions Amongst Digital Natives

2014 ◽  
Vol 19 (3) ◽  
pp. 79-92 ◽  
Author(s):  
Johan Lindell
Keyword(s):  
Social Life ◽  
Secondary Data ◽  
Digital Natives ◽  
Theoretical Concept ◽  
Conceptual Level ◽  
Data Set ◽  
One Dimensional ◽  
Social Scientific ◽  
A Minor ◽  
Empty Signifier

The concept cosmopolitanism has the potential of becoming one of the most interesting social scientific tools for understanding contemporary social life. Operationalising it however, has proved a difficult task. Here, researchers utilise different single indicators while making claims towards the same theoretical concept. This not only undermines the theoretical complexity immanent in the term cosmopolitanism, but also creates a false intersubjectivity in the field of cosmopolitanism studies. In order to ‘save’ cosmopolitanism from the risk of becoming an ‘empty signifier’ (Skrbis et al. 2004) or a ‘“free-floating” discursive geist’ ( Holton 2009 ), in an attempt to address the ‘muddy’ ( Calhoun 2008 ) nature of the concept, this paper presents a methodological blueprint that locates the process of definition in the intersection of the theoretical and the empirical. As such, the proposed methodological way of conduct starts on the conceptual level in order to define the central theoretical tenets included in the cosmopolitan disposition. It then operationalises these claims into indicators that are included in an exploratory analysis of the data set. In conducting a minor quantitative study on ‘digital natives’ in Sweden the method is illustrated as being able to discern manifestations of ‘actually existing cosmopolitanisms’ ( Malcomson 1998 ) and thus avoid the risk of reductionism involved with the use of one-dimensional indicators or pre-existing, less-than-adequate variables in secondary data.

scholarly journals Work and Labor in Slow-Progressive Sectors of the Economy

2013 ◽  
Vol 3 (1) ◽  
pp. 95 ◽  
Author(s):  
Matti Vuorensyrjä
Keyword(s):  
Performing Arts ◽  
Time Pressure ◽  
Disease Model ◽  
Research Literature ◽  
Data Set ◽  
Cost Disease ◽  
Rate Of Growth ◽  
Long Run ◽  
Social Scientific ◽  
A Minor

In the late 1960s, William Baumol demonstrated that structurally unbalanced growth, with the associated cost disease phenomenon, can be expected to have some very particular effects on work and labor in slow-progressive sectors of the economy: performing arts, health care, education, and law enforcement. Specifically, there will be downward pressure on the rate of growth of unit wages and upward pressure on the rate of growth of productivity in these sectors. In the long run, the effects of cost disease are potentially damaging for work and labor in some of the key human service occupations in the public sector. In this interdisciplinary paper, we put forward a simple model, which reconstructs and renews the model discovered by Baumol in 1967. Our model makes only a minor modification to Baumol’s original cost disease model, but the implications of this modification are noteworthy. They are also largely unexplored in empirical research. In this paper, we search for empirical traces of the effects of cost disease on work and labor. We use earlier economic and social scientific research literature on inter-industry wage differences and on time pressure, and we analyze differences in work orientations with the help of the ISSP Work Orientations III data set. Our empirical findings are early and rough intimations. However, they do give preliminary support to the propositions of the paper. The observed changes in employment, wages, and experienced time pressure all correspond to what we would expect on the basis of the cost disease hypothesis. The same applies to the observed differences in the structure of incentives across different occupational groups. The paper is not empirically conclusive, but we see it as a basis for interesting further research.

scholarly journals Statistical Analysis for Assessing the Built Environment Walkability of an Urban Area

2021 ◽  
pp. 1-15
Author(s):  
Kavita Rani
Keyword(s):  
Social Life ◽  
Planning Process ◽  
Urban Transport ◽  
Data Set ◽  
Minor Mode ◽  
The Past ◽  
Analysis Technique ◽  
Combined Models ◽  
Mode Of Transport ◽  
A Minor

In the past era, in the transport planning process walkability was at the least priority as it was considered as a minor mode of transport. Though, it has its importance towards social life, economy, empirical quality and health. Consequently, the focus of the researchers across the world is now on walkability analysis. Therefore, to assess the walkability of an urban transport network in India, 15 different locations (i.e. institutional, educational, commercial, terminals and residential) were selected from three different cities. In the present study, different statistical techniques (i.e. factor analysis stepwise regression method) were used to identify a suitable number of data set based on their correlation analysis. Thereafter, land use-based and combined models were developed with the help of a questionnaire survey. Finally, different clustering analysis technique was used to assess the walkability thresholds which will make the job easier for sidewalk planners (i.e. in walkability analysis).

Pengaruh Reputasi Underwriter, Umur Perusahaan, dan Persentase Penawaran Saham 53 kepada Publik terhadap Underpricing

2016 ◽  
Vol 8 (1) ◽  
pp. 53-74
Author(s):  
Maria Jeanne ◽  
Chermian Eforis
Keyword(s):  
Initial Public Offering ◽  
Stock Price ◽  
Stock Exchange ◽  
Secondary Data ◽  
Secondary Market ◽  
Financial Statement ◽  
Data Set ◽  
Multiple Regression Method ◽  
Underwriter Reputation ◽  
Public Offering

The objective of this research is to obtain empirical evidence about the effect of underwriter reputation, company age, and the percentage of share’s offering to public toward underpricing. Underpricing is a phenomenon in which the current stock price initial public offering (IPO) was lower than the closing price of shares in the secondary market during the first day. Sample in this research was selected by using purposive sampling method and the secondary data used in this research was analyzed by using multiple regression method. The samples in this research were 72 companies conducting initial public offering (IPO) at the Indonesian Stock Exchange in the period January 2010 - December 2014; perform initial offering of shares; suffered underpricing; has a complete data set forth in the company's prospectus, IDX monthly statistics, financial statement and stock price site (e-bursa); and use Rupiah currency. Results of this research were (1) underwriter reputation significantly effect on underpricing; (2) company age do not effect on underpricing; and (3) the percentage of share’s offering to public do not effect on undepricing. Keywords: company age, the percentage of share’s offering to public, underpricing, underwriter reputation.

Immiserizing Growth

2019 ◽  
Keyword(s):  
Political Economy ◽  
Secondary Data ◽  
Household Survey ◽  
Data Set ◽  
Republic Of China ◽  
The Poor ◽  
Poverty Measures ◽  
Entry Points ◽  
Country Analysis ◽  
Cross Country

Immiserizing Growth occurs when growth fails to benefit, or harms, those at the bottom. It is not a new concept, appearing such figures as Malthus, Ricardo and Marx. It is also not empirically insignificant, occurring in between 10% and 35% of cases, depending on the data set and the growth and poverty measures used. In spite of this, it has not received its due attention in the academic literature, dominated by the prevailing narrative that ‘growth is good for the poor’. The chapters in this volume aim to arrive at a better understanding of when, why and how growth fails the poor. They combine discussion of mechanisms of Immiserizing Growth with empirical data on trends in growth, poverty and related welfare indicators. In terms of mechanisms, politics and political economy are chosen as useful entry points to explain IG episodes. The disciplinary focus is diverse, drawing on economics, political economy, applied social anthropology, and development studies. A number of methodological approaches are represented including statistical analysis of household survey and cross-country data, detailed ethnographic work and case study analysis drawing on secondary data. Geographical coverage is wide including Bolivia, the Dominican Republic, Ecuador, India, Indonesia, Mexico, Nigeria, the People’s Republic of China, Singapore, and South Korea, in addition to cross-country analysis. As the first book-length treatment of Immiserizing Growth in the literature, we believe that this volume constitutes an important step in redirecting attention to this issue.

Socio-Economic Impact of Land Acquisition in Chhattisgarh

2021 ◽  
pp. 251-253
Author(s):  
Hena Shmeem ◽  
A. N. Sharma ◽  
Suchitra Sharma
Keyword(s):  
Land Reform ◽  
Social Life ◽  
Secondary Data ◽  
Research Paper ◽  
Land Acquisition ◽  
Poor People ◽  
Land Reforms ◽  
Displaced People ◽  
Socio Economic Impact ◽  
The Impact

As we know land reforms on land acquisition is directly associated with different development. It aims to improve poor people access towards mean of social welfare. In fact India and Chhattisgarh state is not an exception the above rule and policies. For land reform and acquisition in Chhattisgarh. In this research paper, an attempt has been made to cover various land displacements in Chhattisgarh. This research paper has been prepared mainly on the basis of secondary data from it. Like other places, Chhattisgarh has also seen the following effects of land displacement, such as in social life, in children, in women, in employment, the opposite effect is seen. An attempt has been made to explain the impact of land displacement in Korba, Chhattisgarh, where the common life of the displaced people has been particularly affected.

Exploring innovation creation across rural and urban firms

2018 ◽  
Vol 7 (4) ◽  
pp. 357-376 ◽  
Author(s):  
Giri Aryal ◽  
John Mann ◽  
Scott Loveridge ◽  
Satish Joshi
Keyword(s):  
National Survey ◽  
Negative Binomial ◽  
Secondary Data ◽  
Firm Level ◽  
Data Set ◽  
Content Type ◽  
Rural And Urban ◽  
Wide Range ◽  
Rural Firms ◽  
Urban Firms

Purpose The innovation creation literature primarily focuses on urban firms/regions or relies heavily on these data; less studied are rural firms and areas in this regard. The purpose of this paper is to employ a new firm-level data set, national in scale, and analyze characteristics that potentially influence innovation creation across rural and urban firms. Design/methodology/approach The authors use the 2014 National Survey of Business Competitiveness (NSBC) covering multiple firm-level variables related to innovation creation combined with secondary data reflecting the regional business and innovative environments where these firms operate. The number of patent applications filed by these firms measures their innovation creation, and the paper employs a negative binomial regression estimation for analysis. Findings After controlling for industry, county and state factors, rural and urban firms differ in their innovation creation characteristics and behaviors, suggesting that urban firms capitalize on their resources better than rural firms. Other major findings of the paper provide evidence that: first, for rural firms, the influence of university R&D is relevant to innovation creation, but their perception of university-provided information is not significant; and second, rural firms that are willing to try, but fail, in terms of innovation creation have a slight advantage over other rural firms less willing to take on the risk. Originality/value This paper is one of the first to analyze the 2014 NSBC, a firm-level national survey covering a wide range of innovation-related variables. The authors combine it with other regional secondary data, and use appropriate analytical modeling to provide empirical evidence of influencing factors on innovation creation across rural and urban firms.

scholarly journals Effects of Hurricane Katrina on Nursing Facility Resident Mortality, Hospitalization, and Functional Decline

2010 ◽  
Vol 4 (S1) ◽  
pp. S28-S32 ◽  
Author(s):  
David Dosa ◽  
Zhanlian Feng ◽  
Kathy Hyer ◽  
Lisa M. Brown ◽  
Kali Thomas ◽  
...  
Keyword(s):  
Mortality Rate ◽  
Hurricane Katrina ◽  
Functional Decline ◽  
Secondary Data ◽  
Hospitalization Rate ◽  
Minimum Data Set ◽  
Nursing Facility ◽  
Data Set ◽  
Hospitalization Rates ◽  
Minimum Data

ABSTRACTBackground: The study was designed to examine the 30- and 90-day mortality and hospitalization rates among nursing facility (NF) residents in the affected areas of Louisiana and Mississippi following Hurricane Katrina and to assess the rate of significant posthurricane functional decline.Methods: A secondary data analysis was conducted using Medicare claims merged with NF resident data from the Minimum Data Set. Thirty- and 90-day mortality and hospitalization rates for long-stay (>90 days) residents residing in 141 at-risk NFs during Hurricane Katrina were compared to rates for residents residing at the same facilities during the same time period in prior nonhurricane years (2003 and 2004). Functional decline was assessed as a 4+ drop in function using a 28-point Minimum Data Set Activities of Daily Living Scale.Results: There were statistically significant differences (all P < .0001) in mortality, hospitalization, and functional decline among residents exposed to Hurricane Katrina. At 30 days, the mortality rate was 3.88% among the exposed cohort compared with 2.10% and 2.28% for residents in 2003 and 2004, respectively. The 90-day mortality rate was 9.27% compared with 6.71% and 6.31%, respectively. These mortality differences translated into an additional 148 deaths at 30 days and 230 deaths at 90 days. The 30-day hospitalization rate was 9.87% compared with 7.21% and 7.53%, respectively. The 90-day hospitalization rate was 20.39% compared with 18.61% and 17.82%, respectively. Finally, the rate of significant functional decline among survivors was 6.77% compared with 5.81% in 2003 and 5.10% in 2004.Conclusions: NF residents experienced a significant increase in mortality, hospitalization, and functional decline during Hurricane Katrina.(Disaster Med Public Health Preparedness. 2010;4:S28-S32)

scholarly journals Commentary on "Congressional Informal Groups as Representative Responsiveness"

1993 ◽  
Vol 14 ◽  
pp. 375-379
Author(s):  
Susan Webb Hammond
Keyword(s):  
Collective Action ◽  
Policy Process ◽  
Theoretical Concept ◽  
Data Set ◽  
Concept Representation ◽  
Institutional Goals ◽  
Interesting Topic ◽  
Informal Groups ◽  
Formal Recognition

“Congressional Informal Groups as Representative Responsiveness” by Arturo Vega focuses on an interesting topic-congressional caucuses-and examines an important theoretical concept-representation-using a new data set that he has gathered. In the contemporary era, congressional caucuses-voluntary groups of members of Congress, without formal recognition in chamber rules or line-item appropriations that seek a role in the policy process-are increasingly salient congressional actors. The number of caucuses has increased dramatically during the 1980s; about 140 operated during the 102nd Congress (1991-1992). It is not surprising that caucuses have flourished during the 1970s and 1980s, two decades of structural decentralization during which members of Congress often pursued individual goals at the expense of collective action. I have argued elsewhere that caucuses, particularly in this environment, assist members in achieving individual goals and also help Congress achieve institutional goals (Hammond 1989). Vega’s focus on caucuses is useful.

scholarly journals Simulation of the specific surface area of snow using a one-dimensional physical snowpack model: implementation and evaluation for subarctic snow in Alaska

2010 ◽  
Vol 4 (1) ◽  
pp. 35-51 ◽  
Author(s):  
H.-W. Jacobi ◽  
F. Domine ◽  
W. R. Simpson ◽  
T. A. Douglas ◽  
M. Sturm
Keyword(s):  
Specific Surface ◽  
Surface Area ◽  
Specific Surface Area ◽  
Winter Season ◽  
Data Set ◽  
Thermal Budget ◽  
One Dimensional ◽  
Snow Model ◽  
Physics Model ◽  
Snow Physics

Abstract. The specific surface area (SSA) of the snow constitutes a powerful parameter to quantify the exchange of matter and energy between the snow and the atmosphere. However, currently no snow physics model can simulate the SSA. Therefore, two different types of empirical parameterizations of the specific surface area (SSA) of snow are implemented into the existing one-dimensional snow physics model CROCUS. The parameterizations are either based on diagnostic equations relating the SSA to parameters like snow type and density or on prognostic equations that describe the change of SSA depending on snow age, snowpack temperature, and the temperature gradient within the snowpack. Simulations with the upgraded CROCUS model were performed for a subarctic snowpack, for which an extensive data set including SSA measurements is available at Fairbanks, Alaska for the winter season 2003/2004. While a reasonable agreement between simulated and observed SSA values is obtained using both parameterizations, the model tends to overestimate the SSA. This overestimation is more pronounced using the diagnostic equations compared to the results of the prognostic equations. Parts of the SSA deviations using both parameterizations can be attributed to differences between simulated and observed snow heights, densities, and temperatures. Therefore, further sensitivity studies regarding the thermal budget of the snowpack were performed. They revealed that reducing the thermal conductivity of the snow or increasing the turbulent fluxes at the snow surfaces leads to a slight improvement of the simulated thermal budget of the snowpack compared to the observations. However, their impact on further simulated parameters like snow height and SSA remains small. Including additional physical processes in the snow model may have the potential to advance the simulations of the thermal budget of the snowpack and, thus, the SSA simulations.

scholarly journals Forensic Engineering Analysis Of Bicycle Versus Pickup Collision

2010 ◽  
Vol 27 (1) ◽  
Author(s):  
Jerry S. Ogden
Keyword(s):  
High Speed ◽  
Engineering Analysis ◽  
Test Procedures ◽  
Data Set ◽  
Vehicle To Vehicle ◽  
Vehicle Collision ◽  
Vehicle Impact ◽  
General Test ◽  
Forensic Engineering ◽  
A Minor

The Forensic Engineering Analysis Of Bicycle-Vehicle Incidents Presents Its Own Unique Set Of Challenges. Often, The Forensic Engineer Is Faced With A Limited Data Set For Determining Vehicle Impact Speed From The Physical Evidence Produced By A Bicycle Collision With An Automobile, Which May Not Be Of Issue For A Vehicle-To-Vehicle Collision At Similar Speeds. This Paper Analyzes A Collision Between A Light Duty Pickup Pulling A Tandem Axle Utility Trailer And A Bicycle Ridden By A Minor Child. There Were Allegations That The Pickup Was Traveling At A High Speed Above The Speed Limit, As Well As Passing Another Vehicle At The Time Of The Incident. In Order To Accurately And Dependably Determine The Speed Of The Ford F350 Pickup Involved In This Incident Event, This Forensic Engineer Elected To Recreate The Vehicle Locked Wheel Skidding Evidence That Was Produced During The Incident Event And Photographically Recorded By Police Investigators. The Dynamic Skid Testing Technique, Test Equipment, And General Test Procedures Used To Accurately Determine Vehicle Speeds For This Incident Event, And How It Can Be Applied To Similar Collision Events Are Discussed In This Paper

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