B7.a Main factors influencing salary cost of teacher per student in USD, by level of education (2015)

2017 ◽  
Keyword(s):  
Level Of Education ◽  
Factors Influencing ◽  
Main Factors

scholarly journals The competitiveness of rural areas in the Republic of Tatarstan

2013 ◽  
Vol 7 (2-3) ◽  
pp. 89-96
Author(s):  
Landysh Sitdikova ◽  
Wim Heijman ◽  
Johan Van Ophem
Keyword(s):  
Rural Areas ◽  
Principal Component ◽  
Regional Competitiveness ◽  
Level Of Education ◽  
Active Population ◽  
Factors Influencing ◽  
Medium Level ◽  
Main Factors ◽  
The Republic ◽  
Major Factors

This paper analyses the main factors influencing the regional competitiveness of rural areas in the Tatarstan Republic. Firstly, 19 variables related to the socio-economic situation in the Tatarstan Republic were analysed, these having been taken from the Statistics Committee of the Tatarstan Republic. Principal component analysis (PCA) was then used to determine the weights of 10 indicators that have an effect on the level of regional competitiveness. Factor weights are used as weights in the summation of the standardised scores of variables that have an impact on competitiveness. The major factors influencing the level of regional competitiveness are the level of economically active population, investment in housing and the level of education. The following results were obtained: one of the 44 regions is very highly competitive and two are highly competitive; two of 44 regions have a medium level of competitiveness and 39 regions have a low level of competitiveness.

Reproduction potential-based differentiation of Russian regions

2020 ◽  
Vol 18 (7) ◽  
pp. 1304-1319
Author(s):  
M.V. Moroshkina
Keyword(s):  
Spatial Development ◽  
Uneven Development ◽  
Regional Differentiation ◽  
Russian Regions ◽  
Policy Documents ◽  
Factors Influencing ◽  
Strategic Policy ◽  
Main Factors ◽  
Per Capita ◽  
Research Period

Subject. This article examines the issues related to changes in reproduction capacity and heterogeneity of the development of Russian regions. Objectives. The article aims to assess regional differentiation and investigate the main factors influencing the uneven development of the areas. Methods. For the study, we used the methods of comparative and correlation analyses. Results. The article identifies groups of leading and lagging Russian regions and assesses the possibility of convergence of Russian regions according to the analyzed indicators, such as GRP, GRP per capita, and the output of industry. Conclusions. The results obtained can be used when preparing strategic policy documents, spatial development programmes and concepts. The observed heterogeneity suggests that the regions maintain their positions throughout the research period.

Faktor-Faktor yang Berpengaruh dalam Mendapatkan Pekerjaan bagi Lulusan Statistika IPB dengan Menggunakan Metode CHAID

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Aulia Dwi Oktavia ◽  
Aam Alamudi ◽  
Budi Susetyo
Keyword(s):  
College Graduates ◽  
Influential Factors ◽  
Classification Model ◽  
Statistical Software ◽  
Waiting Period ◽  
Level Of Education ◽  
Economic Problems ◽  
Factors Influencing

Unemployment is one of the economic problems in Indonesia. Judging from the level of education that was completed there were unemployment from the level of college graduates. This encourages the level of competition in getting jobs to be more stringent, so that college graduates (bachelor of Statistics in IPB) must have the preparation of various factors to maintain the quality of their graduates. The quality of college graduates can be seen from the length of time waiting to get a job. This study aims to determine the influential factors in getting a job for graduates of the IPB Statistics degree, so that the CHAID method can be used in this study. The results of CHAID's analysis in this study in the form of tree diagrams using α = 10% explained that the factors influencing the waiting period variables were sex, internship, and the ability to master statistical software, where the accuracy value generated by the classification model was 79.3 %.

Polymer composites as sensing materials for liquid organic solvents – preliminary results

e-Polymers ◽  
2011 ◽  
Vol 11 (1) ◽  
Author(s):  
Stanislaw Frackowiak ◽  
Monika Maciejewska ◽  
Andrzej Szczurek ◽  
Marek Kozlowski
Keyword(s):  
Electrical Resistivity ◽  
Carbon Black ◽  
Polymer Composites ◽  
Percolation Theory ◽  
Liquid Mixtures ◽  
Organic Liquids ◽  
Volumetric Fraction ◽  
Factors Influencing ◽  
Benzene Toluene ◽  
Main Factors

AbstractCarbon black-filled polymer composites were investigated as sensing materials for organic liquids. Polypropylene and polystyrene which were selected as matrices and various amounts of carbon black were considered as the main factors influencing sensitivity of the composites in view of the percolation theory. Disposable filaments were produced of these materials. Change in their electrical resistivity was measured upon immersion in benzene, toluene, xylene, ethylbenzene and their mixtures. It has been found that studied materials were sensitive to the composition of liquid mixtures of organic solvent. Relationships between the filament response and volumetric fraction of the components were presented. The studied materials have shown promising sensing properties, which suggest their applicability for identification and quantification of multicomponent organic liquids.

Factors Influencing Saudi Parents’ Choice of International Schools in Saudi Arabia

2020 ◽  
Vol 19 (3) ◽  
pp. 220-232
Author(s):  
Hamdah Abdullah Alfaraidy
Keyword(s):  
Socioeconomic Status ◽  
International Education ◽  
School Quality ◽  
International Schools ◽  
Traditional Schools ◽  
Ministry Of Education ◽  
Public And Private ◽  
Mandated Curriculum ◽  
Factors Influencing ◽  
Main Factors

The Saudi Ministry of Education has recently begun to allow all Saudi families to enroll their children in international schools. The international curriculum offered by such schools represents a notably different choice compared with Saudi traditional public and private schools, both of which teach the same state-mandated curriculum. As a result of the change, there has been a surge in demand for international education; the number of schools has increased rapidly, and there has been a steady “student leak” towards them and away from traditional schools. Little is known about why Saudi parents choose to enroll their children in international schools. We explored this question by surveying 431 Saudi parents of children attending such schools to identify the main factors contributing to their choice. Although all factors examined were important to parents, curriculum and overall school quality emerged as the most important; socioeconomic status was not influential in their decisions.

scholarly journals Implementation Constraints on Israel–Palestine Water Cooperation: An Analysis Using the Water Governance Assessment Framework

Water ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 620
Author(s):  
Liping Dai
Keyword(s):  
Water Governance ◽  
Political Environment ◽  
Assessment Framework ◽  
Foreseeable Future ◽  
Current Technology ◽  
Factors Influencing ◽  
Water Cooperation ◽  
Main Factors ◽  
Enforcement Mechanisms ◽  
Business As Usual

This study uses a diagnostic and multidisciplinary water governance assessment framework to examine the main factors influencing water cooperation on the shared Mountain Aquifer between Israel and Palestine. It finds that effective cooperation between Israel and Palestine is unlikely in the foreseeable future if both parties persist with the business-as-usual approach. What constrains the two parties from achieving consensual agreement are political tensions, the constraints of current technology, the different perceptions of the value of the shared water, the mistrust between the two parties, the lack of external enforcement mechanisms, and the impacts of the domestic political environment.

scholarly journals Determining the Main Factors Influencing the Energy Consumption of Electric Vehicles in the Usage Phase

Procedia CIRP ◽  
2016 ◽  
Vol 48 ◽  
pp. 352-357 ◽  
Author(s):  
Wen Li ◽  
Patrick Stanula ◽  
Patricia Egede ◽  
Sami Kara ◽  
Christoph Herrmann
Keyword(s):  
Energy Consumption ◽  
Electric Vehicles ◽  
Usage Phase ◽  
Factors Influencing ◽  
Main Factors

The Use of Sol-Gel Method for Obtaining Fire-Resistant Elastic Coatings on Cotton Fabrics

2021 ◽  
Vol 1038 ◽  
pp. 468-479
Author(s):  
Olga Skorodumova ◽  
Olena Tarakhno ◽  
Olena Chebotaryova ◽  
Oleg Bezuglov ◽  
Fatih Mehmet Emen
Keyword(s):  
Thin Layer ◽  
Fire Protection ◽  
Sol Gel ◽  
Fire Retardant ◽  
Cotton Fabrics ◽  
Covalent Bonds ◽  
Silica Coatings ◽  
Factors Influencing ◽  
Fire Retardant Properties ◽  
Main Factors

Based on the generalization of research results on the processes of obtaining SiO2 sols using tetraethoxysilane and ethyl silicates, the main factors influencing the elasticity of silica coatings on cotton fabrics and their fire-retardant properties are considered. The possibility of forming covalent bonds between the functional groups of cellulose, gel coating and flame retardant layer is considered, which explains the strong fixation of a thin layer of coating on the fibers of the fabric and improve its fire protection. The use of the developed compositions for fire-retardant elastic coatings based on ethyl silicate allows to increase the time of complete burning of cotton from 30s (untreated fabric) to 600s (treated with binary coating).

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