How Much of Electoral Politics Is in the District? Measuring District Effects on Party Support

2021 ◽  
pp. 1-21
Author(s):  
Marc André Bodet ◽  
Joanie Bouchard ◽  
Melanee Thomas ◽  
Charles Tessier
Keyword(s):  
Electoral Systems ◽  
Cost Effective ◽  
Electoral Politics ◽  
Individual Factors ◽  
Economic Factors ◽  
Geospatial Techniques ◽  
Using Data ◽  
Party Support ◽  
Party Vote Shares ◽  
Socio Economic Factors

Abstract The electoral district is the fundamental unit of representation in single- and multi-member electoral systems, yet most research shows little interest in district effects on election outcomes, focusing instead on national and individual factors. This is problematic as parties and candidates often put a great deal of effort into district-based campaigns. How, then, can we best capture district effects on party support? We propose a new method using official election returns and geospatial techniques. The result is a measure of how much of a party's vote share is explained by district effects. Using data from the 2006–2019 Canadian federal elections, we find that, on average, 6 to 10 per cent of the variation in a party's vote in Canada is explained by district effects. While district effects on party support are trivial for some districts, in others they account for more than 80 per cent of the variance in party vote shares. The effect of districts on party support is composed, in part, of electoral context, province, socio-economic factors and district campaign intensity. Importantly, the size and sources of district effects on party support vary across parties, suggesting heterogeneity. The benefits of our approach are threefold: (1) it is cost-effective, (2) it can be easily replicated in any setting—past or present—where districts are relevant electoral units and where districting is nonpartisan, and (3) it is responsive to differences in district composition and parties’ campaign effort.

scholarly journals Socio-economic factors associated with a healthy diet: results from the E3N study

2017 ◽  
Vol 20 (9) ◽  
pp. 1574-1583 ◽  
Author(s):  
Aurélie Affret ◽  
Gianluca Severi ◽  
Courtney Dow ◽  
Grégoire Rey ◽  
Cyrille Delpierre ◽  
...  
Keyword(s):  
Cohort Study ◽  
Dietary Patterns ◽  
Latent Class ◽  
Contextual Factors ◽  
Healthy Diet ◽  
Individual Factors ◽  
Processed Meat ◽  
Economic Factors ◽  
Factors Associated ◽  
Socio Economic Factors

AbstractObjectiveTo identify individual and contextual socio-economic factors associated with a healthy diet.DesignDietary data from a large cohort study were used to derive two mutually exclusive dietary patterns through a latent class analysis. Associations between dietary patterns and socio-economic factors were studied with logistic regression.SettingE3N, a French prospective cohort study composed of women recruited from a national health insurance plan covering people working in the national education system.SubjectsE3N participants (n 73 031) with dietary and socio-economic data available.ResultsThe ‘Healthy’ pattern was characterized by a large consumption of fruits and vegetables and the ‘Less Healthy’ pattern by a large consumption of pizza and processed meat. When all socio-economic factors were analysed together, all of the individual factors considered were associated with a healthy diet (e.g. women with three or more children were less likely to follow a healthy diet v. women with no children, OR (95 % CI): 0·70 (0·66, 0·75)) while the contextual factors associated with a healthy diet included the size of the agglomeration of residence and the area of birth and residence (e.g. women living in the West of France were less likely to follow a healthy diet v. those living in the South of France: 0·78 (0·72, 0·83)).ConclusionsWe demonstrated that individual and contextual factors are both associated with diet. Rather than focusing only on individual factors, we recommend future studies or public health and nutritional strategies on diet to consider both types of factors.

scholarly journals Factors influencing the use of firewood post-electrification in rural South Africa: The case of Ga-Malahlela village

2021 ◽  
Vol 32 (3) ◽  
Author(s):  
Mahlodi Esther Masekela ◽  
Khomotso Semenya
Keyword(s):  
Economic Status ◽  
Cost Effective ◽  
Limpopo Province ◽  
Economic Factors ◽  
Liquefied Petroleum Gas ◽  
Chi Square ◽  
Energy Needs ◽  
Local Municipality ◽  
Chi Square Test ◽  
Socio Economic Factors

Despite improved electrification rates and several government policies introduced to encourage rural households to switch from traditional to modern fuels, most South African households still rely on firewood for their energy needs. This study sought to assess the factors that influence the use of firewood in Ga-Malahlela village in the Limpopo province. To this end, a structured questionnaire was administered to 67 households. Microsoft Excel and the Statistical Package for Social Sciences were used to code and log in the data. The chi-square test was used to determine the relationship between the choice of energy source(s) and socio-economic factors. It was established that firewood was still widely used: by 61% of the participants for cooking, by 64% for space heating, and by 46% for water heating. For lighting, electricity was used by 98.5% of the participants, while liquefied petroleum gas was used by 1.5%. The dependency on firewood was mainly due to the socio-economic status of the surveyed households, which included income, education level, household size, and preference. Rural firewood reliance continues, due to socio-economic factors such as indigence, preference, and the inaccessibility of services like free basic electricity. It is therefore recommended that the Polokwane Local Municipality should play a part in assisting poor communities with cleaner, cost-effective fuel alternatives such as solar energy, biogas, and liquefied petroleum gas.

scholarly journals Investigating the driver’s response time at signalized intersections

Transport ◽  
2016 ◽  
Vol 33 (2) ◽  
pp. 380-388 ◽  
Author(s):  
Pelin Çalişkanelli ◽  
Serhan Tanyel
Keyword(s):  
Response Time ◽  
Response Times ◽  
Simulation Models ◽  
Signalized Intersections ◽  
Economic Factors ◽  
Left And Right ◽  
Using Data ◽  
Saturation Flow ◽  
Socio Economic Factors ◽  
Key Parameter

It is generally accepted that, behavioural variables may show differences in different countries, and sometimes in different regions depending on cultural and other socio-economic factors. In literature, several researchers have emphasized that performance of signalized intersections is highly related with drivers’ behaviour. However, only a few parameters can be used to reflect drivers’ behaviour in performance analysis. Start response time is used as a key parameter in calibration of analytical and simulation models. In this study, a detailed analysis is conducted on the variability of start response time with respect to parameters like those that manoeuvre type, cycle time, gender of drivers’, etc. by using data obtained from signalized intersections in İzmir, Turkey. Analysis showed that left and right turning drivers have slightly shorter start response times than all through passing vehicles. In addition, the effect of start response time on base saturation flow is discussed.

scholarly journals Effect of Hierarchical Parish System on Portuguese Housing Rents

2021 ◽  
Vol 13 (2) ◽  
pp. 455
Author(s):  
Sofia Vale ◽  
Felipa de Mello-Sampayo
Keyword(s):  
Geographically Weighted Regression ◽  
Rental Housing ◽  
Distance Effect ◽  
Weighted Regression ◽  
Economic Factors ◽  
Space Pattern ◽  
Using Data ◽  
Parish System ◽  
Rental Housing Market ◽  
Socio Economic Factors

This manuscript analyzes an inter-parish housing rents gradient with respect to surrounding parishes. Using data on housing rents for 4049 Portuguese parishes in 278 municipalities, the paper explores the spatial patterns of housing rents using the geographically weighted regression (GWR) methodology. The housing rents can be explained by socio-economic factors comprising the effects of unemployment, sustainability, social diversity, elderly dependency, and population density. The proportion of overcrowded dwellings reflecting how poor living conditions affect housing rents was also included in the spatial analysis. On the structural side, characteristics of the dwellings were also included such as the area of the home and the number of other homes available in the parishes. Locational factors reflect households’ valuation for access to other parishes. In order to capture location characteristics, besides considering mobility within municipalities, the GWR allowed using distances to nearby parishes, i.e., parish hierarchy distance effect. The results suggest that the Portuguese rental housing market exhibits a heterogeneous pattern across the territory, displaying spatial variability and a hierarchical space pattern as a consequence of its locational attributes.

scholarly journals MENTORING ON SCIENCE TEACHER EDUCATION IN RUSSIA AND INTERNATIONAL PERSPECTIVES

2019 ◽  
Vol 18 (3) ◽  
pp. 320-322 ◽  
Author(s):  
Muhammet Usak ◽  
Alfiya R. Masalimova
Keyword(s):  
Teacher Education ◽  
Science Teacher Education ◽  
Educational Institutions ◽  
Occupational Activity ◽  
Individual Factors ◽  
Economic Factors ◽  
Factors Affecting ◽  
International Perspectives ◽  
Mentoring System ◽  
Socio Economic Factors

Nowadays, mentoring as an educational form of Russia’s occupational activity is undergoing fundamental changes due to the variety of interrelated factors affecting the mentoring system. The requirements for the mentoring system itself are affected by these changes as well. Nature of the mentoring activity influences socio-economic, political, socio-cultural, pedagogical, methodical and individual factors. Socio-economic factors that determine not only the enterprises' state order, but also modern educational institutions’ order to revive and improve the traditions of mentoring receive the highest priority among these factors (Antipin, 2011).

DINAMIKA KELOMPOK TANI ANUGERAH MOLLO DI DESA NETPALA KECAMATAN MOLLO UTARA KABUPATEN TIMOR TENGAH SELATAN

2020 ◽  
Vol 21 (1) ◽  
pp. 71-80
Author(s):  
Tanggu Dedo Yeremias ◽  
Ernantje Hendrik ◽  
Ignatius Sinu
Keyword(s):  
Formal Education ◽  
Secondary Data ◽  
Nonparametric Test ◽  
Primary Data ◽  
Economic Factors ◽  
Dynamic Level ◽  
South Central ◽  
Group Members ◽  
Relationship Of ◽  
Socio Economic Factors

ABSTRACT This research has been carried out in the Anugerah Mollo Farmer Group, in Netpala Village, North Mollo District, South Central Timor Regency, starting in March - April 2019. This study aims to determine: (1) The dynamic level of the Anugerah Mollo Farmer Group in Netpala Village, North Mollo District, South Central Timor Regency, (2) Relationship between Socio-economic factors of farmer group members and the level of dynamics of the Anugerah Mollo Farmer Group in Netpala Village, North Mollo District, South Central Timor Regency. Determination of the location of the study carried out intentionally (purposive sampling) The type of data collected is primary data obtained from direct interviews with respondents guided by the questionnaire, while secondary data is obtained from the relevant agencies. To find out the first purpose of the data analyzed using a Likert scale, to find out the second purpose of the data analyzed using the Sperman Rank statistical Nonparametric test. The results of this study indicate that: (1) The level of dynamism of the Anugerah Mollo Farmer Group in Netpala Village, North Mollo District, South Central Timor Regency, is in the very dynamic category of 84%, (2) The relationship of socio-economic factors is only one of the five variables that are significantly related namely land area with a coefficient of rs 0.278 and t = 1.782 count greater than t table 1.699 (p> 0.05), while other social factors such as age, formal education, number of family dependents, and experience of farming show no significant relationship with the level of dynamism of Anugerah Mollo Farmers Group in Netpala Village.

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