scholarly journals A Generalized Assessment of the State of the Service Sector in the Regions of Russia

2020 ◽  
Vol 20 (2) ◽  
pp. 50-67
Author(s):  
Aleksey B. Voloskov
Keyword(s):  
Service Sector ◽  
Principal Component ◽  
The State ◽  
Average Level ◽  
Principal Component Method ◽  
Component Method ◽  
Main Components ◽  
High Level ◽  
Statistical Indicators ◽  
Regions Of Russia

The article describes one of the possible methods for a generalized assessment of the state of the service sector in the regions, based on the use of the principal component method. For calculations, a matrix was formed that included indicators characterizing the state or level of development of the service sector in the country's regions from 2005 to 2018. Based on the results of the component analysis, 7 main components were identified whose statistical indicators for the highest factor loads allowed them to be correctly interpreted into generalized indicators. According to the normalized values of these indicators, five groups of regions from regions with low to regions with a high level of development of the service sector were identified according to a certain rule. The calculations made it possible to draw a conclusion about the average level of development of the service sector as a whole throughout the country on a Russian scale. The place and level of development of services in the Altai Territory is described in detail.

scholarly journals Analysing the Data on Incomes in the Regional Context by the Principal Component Method

2019 ◽  
Vol 15 (2) ◽  
pp. 601-617
Author(s):  
B G. Ilyasov ◽  
E.A. Makarova ◽  
E.S. Zakieva ◽  
E.S. Gizdatullina
Keyword(s):  
Principal Component ◽  
Principal Component Method ◽  
Regional Context ◽  
Component Method

scholarly journals البنية العاملية لمقياس كفاءة المواجهة باستخدام التحليل العاملي الاستكشافي والتوكيدي لدى طلبة الجامعة

2021 ◽  
Vol 2 (45) ◽  
pp. 391-418
Author(s):  
محمد حميد سرحان
Keyword(s):  
Principal Component ◽  
Principal Component Method ◽  
Component Method

مستخلص البحث هدف البحث الحالي التعرف على البنية العاملية لمقياس كفاءة المواجهة باستعمال التحليل العاملي الاستكشافي والتوكيدي على طلبة الجامعة ، ولتحقيق هدف البحث قام الباحث ببناء مقياس كفاءة المواجهة بالاعتماد على نظرية ويجنلد ويونج (Wagnild & Young,1993) كاطار نظري للمقياس اذ صاغ الباحث (25) فقرة موزعة على خمسة مجالات لكفاءة المواجهة وهي (الاعتماد الذاتي، المثابرة، الاتزان، المعنى، العزلة الوجودية ) وبواقع (5) فقرات لكل مجال ، تم تطبيق المقياس على عينة من طلبة جامعة بغداد بلغ عددها (600) طالب وطالبة وبعد ادخال البيانات لبرنامج (spss) خضعت البيانات الناتجة عن التطبيق الى التحليل العاملي الاستكشافي بطريقة المكونات الأساسية (Principal Component Method) ، وبتدوير العوامل على محاور متعامدة بطريقة (Varimax)، اسفرت النتائج عن وجود عامل واحد تتشبع فيه كافة فقرات المقياس اذ بلغ جذره الكامن (8.613) وفسر نسبه (34.452) من التباين ، ثم اجرى الباحث التحليل العاملي التوكيدي على نموذج وضعه الباحث بالاعتماد على الاطار النظري للمقياس وقد تطابقت نتائج التحليل مع الانموذج الذي وضعه الباحث ، وفي ضوء نتائج البحث قام الباحث بوضع مجموعة من الاستنتاجات والتوصيات والمقترحات.

scholarly journals Spatial dynamics of orange production in the state of Paraná, Brazil

2020 ◽  
Vol 42 (2) ◽  
Author(s):  
Gustavo Vaz da Costa ◽  
Carmen Silvia Vieira Janeiro Neves ◽  
Tiago Santos Telles
Keyword(s):  
Orange Juice ◽  
Spatial Dynamics ◽  
Principal Component ◽  
The State ◽  
Location Quotient ◽  
Production Chain ◽  
Data Variability ◽  
Citrus Production ◽  
Total Data ◽  
Main Components

Abstract The aim of this study was to identify and qualify the microregions specialized in orange production and the spatial dynamics of citrus production in the state of Paraná, Brazil. For this purpose, data from the Brazilian Institute of Geography and Statistics and the Brazilian Central Bank were used. The location quotient (LQ) methodology was applied, the principal component analysis (PCA) and the cluster analysis were carried out, and information regarding the location of industries and agribusiness cooperatives that process orange juice in the state of Paraná was collected. The LQ results, subdivided into 5-year periods, denote changes in the spatial dynamics of orange production. Between 1998-2002 and 2013-2017, the specialized microregions increased from nine to 11; in addition, the consolidation of a citrus belt, which extended from the northwestern to the northeast area of Paraná, took place. Two main components explained 89.16% of the total data variability and four clusters were identified. The microregion of Paranavaí was the most specialized and the most important for the orange production chain in Paraná. The dynamics of orange production were spatially associated with the location of industries and agribusiness cooperatives in the sector, which were concentrated in the northwestern and mid-northern Paraná.

Spatial and Temporal Distribution of Evolutionary Regimes of the Green Corona Brightness During the Cycles 20-21

1994 ◽  
Vol 144 ◽  
pp. 119-121
Author(s):  
O. G. Badalyan ◽  
G. V. Kuklin
Keyword(s):  
Temporal Distribution ◽  
Principal Component ◽  
Spatial And Temporal Distribution ◽  
Time Diagram ◽  
Principal Component Method ◽  
Component Method

AbstractThe distributions of the green corona brightness in the cycles 20-21 are analysed using the principal component method. Four regimes of the evolution of brightness distributions were detected. A “latitude-time” diagram was constructed and compared with the specific points of the cyclic Wolf numbers curve.

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