scholarly journals Environmental Inequality and Residential Sorting in Germany: A Spatial Time-Series Analysis of the Demographic Consequences of Industrial Sites

Demography ◽  
2021 ◽  
Author(s):  
Tobias Rüttenauer ◽  
Henning Best
Keyword(s):  
Low Income ◽  
Fixed Effects ◽  
Demographic Data ◽  
Spatial Models ◽  
Original Data ◽  
Environmental Inequality ◽  
Data Set ◽  
Industrial Facilities ◽  
Industrial Sites ◽  
Before And After

Abstract Previous research has shown that low-income households bear a higher exposure to environmental pollution than high-income households. Some scholars have argued that selective siting of industrial facilities accounts for such environmental inequality, while others have argued that those citizens who can afford to move out of polluted regions do so, and the socioeconomically disadvantaged are sorted into polluted areas. Yet empirical evidence regarding the processes of environmental inequality is not conclusive. We build on an original data set that includes annual georeferenced data of 6,570 highly polluting industrial facilities in Germany from 2008 to 2017 and validate the fluctuation in facilities with geographical land-use data. We then connect the facilities to income and demographic data for 4,455 municipalities and investigate sociodemographic changes before and after the appearance of new facilities. Spatial models are employed to measure local relative changes, and fixed-effects individual slopes estimators are used to account for selection on economic trajectories. Results provide only limited support for the selective siting thesis but show that an area's average income decreases after the appearance of new industrial facilities, thereby resonating with the selective migration hypothesis. In contrast, facility closure does not attract, or reattract, more affluent households.

scholarly journals Spatial Environmental Inequality in Lubbock, Texas

2018 ◽  
Vol 1 (1) ◽  
pp. 01-12
Author(s):  
Perry Labron Carter ◽  
Jason M. Post ◽  
Cynthia L. Sorrensen
Keyword(s):  
Hazardous Waste ◽  
Low Income ◽  
Demographic Data ◽  
Spatial Regression ◽  
Spatial Proximity ◽  
Toxic Release Inventory ◽  
Environmental Inequality ◽  
Hazardous Waste Facility ◽  
Hazardous Waste Facilities ◽  
Statistical Relationships

Environmental inequality assumes a near proximity of environmental health hazards, hazardous waste processing and releasing facilities to minority and low-income communities. Research in environmental inequality and environment justice over the past twenty years suggests that hazardous waste facilities are often located near minority and low-income neighborhoods. We conducted a study evaluating and quantifying environmental inequality in Lubbock County, Texas. Our study analyzed both spatial and statistical relationships between population demographics and spatial proximity to hazardous waste releasing facilities. Hazardous waste facility data used in the study were collected from the Environmental Protection Agency’s Toxic Release Inventory (TRI). Population statistics from the U.S. Census comprise the demographic data for this analysis. Spatial regression models were estimated to evaluate the relationship between distance from TRI sites and neighborhood / census block group demographics. A statistically significant relationship with proximity to hazardous waste facilities was found in communities having significant minority populations.

Suffrage Petitioning as Formative Practice: American Women Presage and Prepare for the Vote, 1840–1940

2018 ◽  
Vol 32 (1) ◽  
pp. 24-48 ◽  
Author(s):  
Daniel Carpenter ◽  
Zachary Popp ◽  
Tobias Resch ◽  
Benjamin Schneer ◽  
Nicole Topich
Keyword(s):  
Political Development ◽  
American Woman ◽  
Voting Rights ◽  
Original Data ◽  
Woman Suffrage ◽  
Demographic Variables ◽  
Data Set ◽  
Historical Materials ◽  
Before And After ◽  
The U.S

The American woman suffrage movement remade the U.S. Constitution and effected the broadest expansion of voting eligibility in the nation's history. Yet it did more than change laws and citizenship. It also plausibly shaped participatory patterns before and after the winning of voting rights for women. Drawing upon the idea of formative practice and reporting on a range of historical materials—including an original data set of 2,157 petitions sent to the U.S. Congress from 1874 to 1920 concerning women's voting rights—we focus on woman suffrage petitioning as both presaging the practice of voting and, in a sense, preparing tens of thousands of women for that activity. Our analyses reveal that, before 1920, suffrage petitioning activity was heightened in general and midterm election years (especially among Republican-leaning constituencies), suffrage petitioning both enabled and reflected organization in critical western states, and that post-suffrage women's turnout was immediately and significantly higher in states with greater pre-suffrage petitioning (controlling for a range of political, organizational, and demographic variables). In its claims, symbolism, habits, and temporality, suffrage petitioning differed from other petitioning in American political development and marked a formative practice for women on their way to voting.

Research of Red Tide Algae Images Feature Selection Method Based on ReliefF and SBS

2014 ◽  
Vol 507 ◽  
pp. 806-809
Author(s):  
Shu Fang Li ◽  
Qin Jia ◽  
Hong Liang
Keyword(s):  
Feature Selection ◽  
Red Tide ◽  
Feature Selection Method ◽  
Original Data ◽  
Feature Subset ◽  
Data Set ◽  
Before And After ◽  
Optimal Feature Subset ◽  
Optimal Feature ◽  
Original Feature

In order to Red Tide algae present real-time automatic classification method of high accuracy rate, this paper proposes using ReliefF-SBS for feature selection. Namely feature analysis about Red Tide algae image original data set. And on this basis, feature selection to remove the irrelevant features and redundant features from the original feature set feature, to get the optimal feature subset, and reduce their impact on the classification accuracy. Meanwhile compare the classification results before and after SVM and KNN two kinds feature selection classifiers.

scholarly journals Committee chair selection under high informational and organizational constraints

2017 ◽  
Vol 25 (4) ◽  
pp. 547-558 ◽  
Author(s):  
Mihail Chiru ◽  
Sergiu Gherghina
Keyword(s):  
Fixed Effects ◽  
Original Data ◽  
Logit Models ◽  
Data Set ◽  
Privileged Access ◽  
Committee Chair ◽  
Party Leaders ◽  
Conditional Logit ◽  
Members Of Parliament ◽  
Organizational Constraints

This article draws on major theories of committee organization to explain committee chair selection in contexts with high informational and organizational constraints. We test our theoretical expectations through a series of fixed effects conditional logit models run on an original data set which includes all legislators who have served in the Romanian Chamber of Deputies from 1992 to 2012. The findings indicate that sector knowledge matters more for committee chair selection in the first post-communist terms, while chair seniority and party credentials acquire relevance later on. The effect of sector knowledge is stronger than that of chair seniority for the committees that the members of parliament perceive to be the most important, while party leaders have privileged access to the chair position irrespective of how salient the committee is.

scholarly journals The missing left? Economic crisis and the programmatic response of social democratic parties in Europe

2018 ◽  
Vol 24 (1) ◽  
pp. 23-38 ◽  
Author(s):  
Björn Bremer
Keyword(s):  
Economic Crisis ◽  
Great Recession ◽  
Original Data ◽  
Party Competition ◽  
Data Set ◽  
Social Democratic ◽  
The Great Recession ◽  
Before And After ◽  
Democratic Parties ◽  
Social Democratic Parties

How have social democratic parties responded to the recent economic crisis? For many observers, the Great Recession and the prevalence of austerity in response to it have contributed to a crisis of social democracy in Europe. This article examines the programmatic response of social democratic parties to this crisis in 11 Western European countries. It uses an original data set that records the salience that parties attribute to different issues and the positions that they adopt with regard to these issues during electoral campaigns and compares the platforms of social democratic parties before and after 2008. For this purpose, the article disentangles economic issues into three different categories and shows that this is necessary in order to understand party competition during the Great Recession: while social democratic parties shifted to the left with regard to issues relating to welfare and economic liberalism, they largely accepted the need for budgetary rigour and austerity policies.

scholarly journals The impact of conventional dietary intake data coding methods on foods typically consumed by low-income African-American and White urban populations

2014 ◽  
Vol 18 (11) ◽  
pp. 1922-1931 ◽  
Author(s):  
Marc A Mason ◽  
Marie Fanelli Kuczmarski ◽  
Deanne Allegro ◽  
Alan B Zonderman ◽  
Michele K Evans
Keyword(s):  
African American ◽  
Low Income ◽  
Healthy Aging ◽  
Original Data ◽  
Food Group ◽  
Data Sets ◽  
Data Set ◽  
Food Component ◽  
Data Coding ◽  
The Impact

AbstractObjectiveAnalysing dietary data to capture how individuals typically consume foods is dependent on the coding variables used. Individual foods consumed simultaneously, like coffee with milk, are given codes to identify these combinations. Our literature review revealed a lack of discussion about using combination codes in analysis. The present study identified foods consumed at mealtimes and by race when combination codes were or were not utilized.DesignDuplicate analysis methods were performed on separate data sets. The original data set consisted of all foods reported; each food was coded as if it was consumed individually. The revised data set was derived from the original data set by first isolating coded foods consumed as individual items from those foods consumed simultaneously and assigning a code to designate a combination. Foods assigned a combination code, like pancakes with syrup, were aggregated and associated with a food group, defined by the major food component (i.e. pancakes), and then appended to the isolated coded foods.SettingHealthy Aging in Neighborhoods of Diversity across the Life Span study.SubjectsAfrican-American and White adults with two dietary recalls (n 2177).ResultsDifferences existed in lists of foods most frequently consumed by mealtime and race when comparing results based on original and revised data sets. African Americans reported consumption of sausage/luncheon meat and poultry, while ready-to-eat cereals and cakes/doughnuts/pastries were reported by Whites on recalls.ConclusionsUse of combination codes provided more accurate representation of how foods were consumed by populations. This information is beneficial when creating interventions and exploring diet–health relationships.

Rotational Characteristics of the Green Solar Corona: 1947-1991

1994 ◽  
Vol 144 ◽  
pp. 139-141 ◽  
Author(s):  
J. Rybák ◽  
V. Rušin ◽  
M. Rybanský
Keyword(s):  
Solar Corona ◽  
World Wide ◽  
Rotation Period ◽  
Original Data ◽  
Coronal Emission ◽  
Time Intervals ◽  
Data Set ◽  
The World ◽  
Coronal Emission Line ◽  
Homogeneous Data

AbstractFe XIV 530.3 nm coronal emission line observations have been used for the estimation of the green solar corona rotation. A homogeneous data set, created from measurements of the world-wide coronagraphic network, has been examined with a help of correlation analysis to reveal the averaged synodic rotation period as a function of latitude and time over the epoch from 1947 to 1991.The values of the synodic rotation period obtained for this epoch for the whole range of latitudes and a latitude band ±30° are 27.52±0.12 days and 26.95±0.21 days, resp. A differential rotation of green solar corona, with local period maxima around ±60° and minimum of the rotation period at the equator, was confirmed. No clear cyclic variation of the rotation has been found for examinated epoch but some monotonic trends for some time intervals are presented.A detailed investigation of the original data and their correlation functions has shown that an existence of sufficiently reliable tracers is not evident for the whole set of examinated data. This should be taken into account in future more precise estimations of the green corona rotation period.

Electing the Senate

2017 ◽  
Author(s):  
Wendy J. Schiller ◽  
Charles Stewart III
Keyword(s):  
Original Data ◽  
State Legislators ◽  
Internal Conflict ◽  
Data Set ◽  
Senate Elections ◽  
Political Actors ◽  
The Public ◽  
Seventeenth Amendment ◽  
The People ◽  
Election Process

From 1789 to 1913, U.S. senators were not directly elected by the people—instead the Constitution mandated that they be chosen by state legislators. This radically changed in 1913, when the Seventeenth Amendment to the Constitution was ratified, giving the public a direct vote. This book investigates the electoral connections among constituents, state legislators, political parties, and U.S. senators during the age of indirect elections. The book finds that even though parties controlled the partisan affiliation of the winning candidate for Senate, they had much less control over the universe of candidates who competed for votes in Senate elections and the parties did not always succeed in resolving internal conflict among their rank and file. Party politics, money, and personal ambition dominated the election process, in a system originally designed to insulate the Senate from public pressure. The book uses an original data set of all the roll call votes cast by state legislators for U.S. senators from 1871 to 1913 and all state legislators who served during this time. Newspaper and biographical accounts uncover vivid stories of the political maneuvering, corruption, and partisanship—played out by elite political actors, from elected officials, to party machine bosses, to wealthy business owners—that dominated the indirect Senate elections process. The book raises important questions about the effectiveness of Constitutional reforms, such as the Seventeenth Amendment, that promised to produce a more responsive and accountable government.

Dynamic Relationship between Crude Oil and Stock Prices in India: Before And After the Subprime Financial Crisis 2008

GIS Business ◽  
2019 ◽  
Vol 14 (6) ◽  
pp. 96-104
Author(s):  
P. Sakthivel ◽  
S. Rajaswaminathan ◽  
R. Renuka ◽  
N. R.Vembu
Keyword(s):  
Financial Crisis ◽  
Crude Oil ◽  
Stock Prices ◽  
Oil Prices ◽  
Energy Index ◽  
Data Set ◽  
Dynamic Relationship ◽  
Crude Oil Prices ◽  
Long Run ◽  
Before And After

This paper empirically discovered the inter-linkages between stock and crude oil prices before and after the subprime financial crisis 2008 by using Johansan co-integration and Granger causality techniques to explore both long and short- run relationships.  The whole data set of Nifty index, Nifty energy index, BSE Sensex, BSE energy index and oil prices are divided into two periods; before crisis (from February 15, 2005 to December31, 2007) and after crisis (from January 1, 2008 to December 31, 2018) are collected and analyzed. The results discovered that there is one-way causal relationship from crude oil prices to Nifty index, Nifty energy index, BSE Sensex and BSE energy index but not other way around in both periods. However, a bidirectional causality relationship between BSE Energy index and crude oil prices during post subprime financial crisis 2008. The co-integration results suggested that the absence of long run relationship between crude oil prices and market indices of BSE Sensex, BSE energy index, Nifty index and Nifty energy index before and after subprime financial crisis 2008.

Light touch, heavy hand: principals and data-use PLCs

2017 ◽  
Vol 55 (4) ◽  
pp. 376-389 ◽  
Author(s):  
Alice Huguet ◽  
Caitlin C. Farrell ◽  
Julie A. Marsh
Keyword(s):  
Professional Learning ◽  
Low Income ◽  
Equal Opportunity ◽  
Data Use ◽  
Opportunity To Learn ◽  
School Level ◽  
Comparative Case Study ◽  
Data Set ◽  
Content Type ◽  
Principal's Role

Purpose The use of data for instructional improvement is prevalent in today’s educational landscape, yet policies calling for data use may result in significant variation at the school level. The purpose of this paper is to focus on tools and routines as mechanisms of principal influence on data-use professional learning communities (PLCs). Design/methodology/approach Data were collected through a comparative case study of two low-income, low-performing schools in one district. The data set included interview and focus group transcripts, observation field notes and documents, and was iteratively coded. Findings The two principals in the study employed tools and routines differently to influence ways that teachers interacted with data in their PLCs. Teachers who were given leeway to co-construct data-use tools found them to be more beneficial to their work. Findings also suggest that teachers’ data use may benefit from more flexibility in their day-to-day PLC routines. Research limitations/implications Closer examination of how tools are designed and time is spent in data-use PLCs may help the authors further understand the influence of the principal’s role. Originality/value Previous research has demonstrated that data use can improve teacher instruction, yet the varied implementation of data-use PLCs in this district illustrates that not all students have an equal opportunity to learn from teachers who meaningfully engage with data.

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