Factor analysis of private farmings as a basis for forecasting their development

2021 ◽  
pp. 72-79
Author(s):  
A.E. Shibalkin ◽  
B.Sh. Dashieva ◽  
A. S. Khusainova ◽  
E.A. Kravchenko ◽  
E.V. Makusheva
Keyword(s):  
Factor Analysis ◽  
Economic Factors ◽  
Rural Settlements ◽  
Multiple Correlation

In the article, a connection between the level of development of private farming in terms of stock raising and socio-demographic, geographical and economic factors is established based on the data of passports of rural settlements, using the methods of simple and combination factor grouping, pair and multiple correlation.

Implication of Socio-economic Factors on Land Use and Forest Cover Changes in and Around Magamba Nature Reserve in Tanzania

2019 ◽  
Vol 5 (1) ◽  
pp. 108-117
Author(s):  
Solomon Jeremiah Sembosi
Keyword(s):  
Land Use ◽  
Forest Cover ◽  
Nature Reserve ◽  
Agricultural Land ◽  
Population Pressure ◽  
Economic Factors ◽  
Rural Settlements ◽  
Mountainous Regions ◽  
Use Of Resources ◽  
Socio Economic Factors

Rural settlements in mountainous regions are a typical process that occurs in many places around the world and have a number of implications on the landscape. Among them is a threat it possesses to the conservation and management of Afromontane ecosystems. This study assessed the socio-economic factors that drive the changes in land use and forest cover and the extent of land use and vegetation cover in and around Magamba Nature Reserve. Focus group discussion, direct field observation and household survey were used to acquire socio-economic information that impacts land use and forest cover. Through the use of Remote Sensing and GIS methods Landsat satellite images of 1995, 2008 and 2015 were employed to identify the extent of the changes in land use and forest cover. The perceived factors for the changes include education level, unemployment, landless/limited, landholding, population pressure, expansion of built-up areas and agricultural land at the expense of other land covers. This study revealed the transformation of natural forest and associated vegetation from one form to another. There was a decrease in natural vegetation from 61.06% in 1995 to 26.02% in 2015 and increase in built-up areas by 6.69% and agricultural areas by 4.70%. This study recommends conservation monitoring and strong law enforcement relating to natural resources so as to promote sustainable use of resources to rescue the diminishing ecosystem services.

scholarly journals Forecasting 2016 US Presidential Elections Using Factor Analysis and Regression Model

2018 ◽  
Vol 12 (1) ◽  
pp. 20-42
Author(s):  
Pankaj Sinha
Keyword(s):  
Factor Analysis ◽  
Standard Error ◽  
Presidential Election ◽  
Dominant Role ◽  
Economic Factor ◽  
Vote Share ◽  
Economic Factors ◽  
White House ◽  
Analysis Technique ◽  
Incumbent Party

The paper categorizes factors responsible for forecasting the outcome of U.S. presidential election 2016 using factor analysis, which groups the various economic and non-economic parameters based on the correlation among them. The major economic factor significant in 2016 US presidential election is the growth of the economy, and the ‘anti-incumbency factor that signifies how long the incumbent party has been controlling the White House is found to be an important non-economic factor likely to play a dominant role in the election. The dependent variables considered are the vote shares of the nominees of the incumbent and the non-incumbent majority party candidates. The forecast is calculated by running a regression of the significant factors, obtained through factor analysis technique, on the incumbent party vote share as well as on the non-incumbent party vote share. The proposed models forecast the vote share of Democrat candidate Mrs. Hillary Clinton to be 45.59% with a standard error of ±2.32% and that of Republican candidate Mr. Donald Trump to be 39.51% with a standard error of ±3.87%. Hence, the models built in the paper signal a comfortable margin of victory for the Presidential nominee of the incumbent party, Hillary Clinton.The study re-establishes the notion that the non-economic factors have a greater influence on the outcomes of election as compared to the economic factors, as some of the important economic factors such as inflation and unemployment rate failed to establish their significance. 

scholarly journals Towards a pre-teen typology of digital media

2010 ◽  
Vol 26 (5) ◽  
Author(s):  
Mick Grimley ◽  
Mary Allan
Keyword(s):  
Factor Analysis ◽  
New Zealand ◽  
Digital Media ◽  
Technology Use ◽  
New Technologies ◽  
Economic Factors ◽  
Use Of Technology ◽  
Patterns Of Use ◽  
Two Factors ◽  
Socio Economic Factors

<span>Whilst prior research has identified children as avid users of new technologies, insufficient studies have explored their patterns of use. This paper investigates how New Zealand pre-teens use technology out of school and identifies a typology of technology use. Two hundred and twenty four children between 10 and 12 years of age completed a comprehensive questionnaire about their use of technology. Results indicated that children of this age were immersed in technology related activities. A principal components factor analysis revealed a typology with five distinct factors underlying pre-teen digital behaviour. Two factors showed some differentiation by gender but differences were not evident for socio-economic factors.</span>

scholarly journals Effects of Hadi Project Implementation on the Resilience of Rural Settlements in Oraman, Sarvabad

2020 ◽  
pp. 152-163
Keyword(s):  
Factor Analysis ◽  
Survey Design ◽  
Social Indicators ◽  
Project Implementation ◽  
Friedman Test ◽  
Social Resilience ◽  
Rural Settlements ◽  
Economic Resilience ◽  
Statistical Population ◽  
Resilience Indicators

INTRODUCTION: Resilience is recognized as the potential capacity of a system or community to adapt or resist change in order to maintain an appropriate level of performance and structure. Moreover, governments adopt a variety of strategies to mitigate the effects of natural disasters. In this regard, the rural Hadi project is an efficient method for rural physical management. The present study aimed to assess the effects of Hadi project implementation on rural resilience. METHODS: The current study sought to investigate the effect of Hadi project implementation on the resilience of rural settlements in the villages of Oraman district. This descriptive-analytical study was conducted based on survey design. The statistical population of the present study consisted of the heads of households living in Oraman Takht district in which the Hadi project has been implemented at least 5 years ago. The participants were selected via the convenience sampling method. The data were analyzed using factor analysis, indexing, chi-square, Friedman test, and stepwise regression. FINDINGS: Based on the results, the rural Hadi project had a positive significant effect on all the considered indicators (α=0.05). The effect size of this project on different dimensions of resilience was as follows: social resilience (257.45), economic resilience (208.95), institutional resilience (115.86), and environmental-physical resilience (196.69). Furthermore, a high correlation (0.993) was detected between the independent variable and the dependent variable. According to Friedman test, the greatest effect was exerted on the environmental-physical (3.23), institutional (3.00), economic (1.94), and social (1.51) dimensions, respectively. CONCLUSION: As evidenced by the obtained results, the implementation of the rural Hadi project affected all rural resilience indicators. The implementation of this project exerted the most and least significant impact on the physical-environmental and social indicators, respectively. In fact, the implementation of this project is one of the effective methods for the enhancement of rural resilience indicators. Confirmatory factor analysis also verified the positive effect of Hadi project implementation on resilience indicators

scholarly journals 7.7. FACTOR ANALYSIS OF THE DEVELOPMENT OF RETAIL CHAINS IN THE REPUBLIC OF KAZAKHSTAN

2020 ◽  
Author(s):  
П.А. Шарапаев
Keyword(s):  
Factor Analysis ◽  
Social Factors ◽  
Negative Impact ◽  
Positive Impact ◽  
Economic Factors ◽  
Significant Negative Impact ◽  
Retail Chains ◽  
The Republic

В статье проведен анализ развития торговых сетей Республики Казахстан. Выявлены барьеры, которые препятствуют развитию торговых сетей, а также драйверы, способствующие их развитию. Оценка потенциала торговых сетей представлена в виде PEST-анализа, в результате которого определено, что большинство факторов оказывают положительное воздействие на развитие торговых сетей в Республике Казахстан и их конкурентоспособность. Наиболее существенное положительное влияние оказывают технологические, политические и экономические факторы. Наиболее существенное негативное влияние оказывают социальные факторы. The article analyzes the development of retail net-works in the Republic of Kazakhstan. Barriers that hin-der the development of retail networks, as well as driv-ers that contribute to their development, have been identified. The assessment of the potential of retail chains is presented in the form of a PEST analysis, which determines that most factors have a positive im-pact on the development of retail networks in the Re-public of Kazakhstan and their competitiveness. Tech-nological, political, and economic factors have the most significant positive impact. The most significant negative impact is caused by social factors.

scholarly journals Macroecenomic identification of the pricing factors on the Johannesburg Stock Exchange

1990 ◽  
Vol 21 (1/2) ◽  
pp. 17-26 ◽  
Author(s):  
G. D.I. Barr
Keyword(s):  
Factor Analysis ◽  
Stock Markets ◽  
Stock Exchange ◽  
Analysis Approach ◽  
Economic Factors ◽  
Short Term ◽  
Johannesburg Stock Exchange ◽  
Economic Forces ◽  
Pricing Factors ◽  
Business Confidence

This paper considers the main economic forces which drive the various sectors of the Johannesburg Stock Exchange, over the period 1979-1987. A factor-analysis approach identified these main forces as the price of gold, the short-term rate of interest, the performance of foreign stock markets, and local business confidence. The period considered is broken down into several subperiods in which these economic factors performed differently and where one or other dominated. This enables one to obtain a precise idea of which economic variables move which sectors and when.

Factors Affecting the Compliance with Tax llaws of tTax ppayers in Long An Province

2020 ◽  
Vol 36 (1) ◽  
Author(s):  
Nguyen Tien Hung ◽  
Nguyen Thanh Tam ◽  
Pham Thanh Luan
Keyword(s):  
Factor Analysis ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Social Factors ◽  
Psychological Factors ◽  
Tax Compliance ◽  
Economic Factors ◽  
Factors Affecting ◽  
Spss Software ◽  
Laws And Policies

The study was conducted with the goal of improving tax compliance of taxpayers (NNT) at the Tax Department of Long An Province. With a sample of 204 taxpayers at the Long An Provincial Tax Department selected on a random basis having transactions with the Long An Provincial Tax Department in 2019 and with the support of SPSS software 22. Factor analysis EFA and multiple regression analysis were used in the study. The research results show that 7 factors affecting tax compliance of taxpayers in Long An province are: (i) PLCS - Tax laws and policies; (ii) DDNNT: Characteristics of taxpayers; (iii) NKD: Business lines; (iv) KT: Economic factors; (v) TL: Psychological factors; (vi) CQQLT: QLT Agency; and (vii) XH: Social factors. Thereby, giving some specific solutions and recommendations to enhance tax compliance of taxpayers in Long An province in the coming time.

Development and Initial Validation of a Perceived Parental Behavior Inventory for African Adolescents

1993 ◽  
Vol 76 (3) ◽  
pp. 1003-1008 ◽  
Author(s):  
Mzobanzi M. Mboya
Keyword(s):  
South Africa ◽  
High School ◽  
Factor Analysis ◽  
Internal Consistency ◽  
Parental Behavior ◽  
Cape Town ◽  
Three Dimensions ◽  
Multiple Correlation ◽  
Initial Validation ◽  
Statistical Validity

The Perceived Parental Behavior Inventory was designed to measure three dimensions of students' perceptions of the behaviors of their parents. This study was conducted to determine the statistical validity and theta reliability of the instrument which was administered to 274 students attending a co-educational high school in Cape Town, South Africa. Factor analysis clearly identified the three subscales indicating that the instrument distinguished the students' perceptions of their parents' behaviors in three areas. Estimates of internal consistency of the subscales were assessed using the squared multiple correlation as the index of reliability.

A New Multidimensional Measure of African Adolescents' Perceptions of Teachers' Behaviors

1994 ◽  
Vol 78 (2) ◽  
pp. 419-426 ◽  
Author(s):  
Mzobanzi M. Mboya
Keyword(s):  
South Africa ◽  
Factor Analysis ◽  
Internal Consistency ◽  
Teacher Behavior ◽  
Three Dimensions ◽  
Validity And Reliability ◽  
Multiple Correlation ◽  
Multidimensional Measure ◽  
Statistical Validity ◽  
Coeducational High Schools

The Perceived Teacher Behavior Inventory was designed to measure three dimensions of students' perceptions of the behaviors of their teachers. This research was conducted to assess the statistical validity and reliability of the instrument administered to 770 students attending two coeducational high schools in Cape Town, South Africa. Factor analysis clearly identified three subscales indicating that the instrument distinguished the students' perceptions of their teachers' behaviors in three areas. Estimates of internal consistency of the subscales were assessed using the squared multiple correlation as the index of reliability.

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