The position of borderline areas of Southern Siberia in socio-economic ratings of the Russian regions

2021 ◽  
Vol 17 (7) ◽  
pp. 1277-1295
Author(s):  
Tana M. OIDUP ◽  
Yurii G. POLULYAKH ◽  
Svetlana A. CHUPIKOVA
Keyword(s):  
Cluster Analysis ◽  
Methodological Approach ◽  
Three Dimensions ◽  
Subsistence Level ◽  
Southern Siberia ◽  
The Social ◽  
The Status ◽  
Geographical Position ◽  
Spatial View ◽  
And Cluster Analysis

Subject. The article discusses the position of borderline areas of Southern Siberia in terms of the socio-economic development and geographical position. Objectives. We perform the comparative analysis of the regions’ position, determine the place and status of each borderline area, find identical regions in Russia in terms of the economic situation and difficulties. Methods. The study addresses the multivariate classification of data through the method of grouping and cluster analysis. Results. We suggest using the methodological approach to determining the status of the regions from three dimensions, i.e. social, economic and geographical, and apply some indicators, such as the ratio of average income per capita and the subsistence level for the social view, the real fiscal capacity for the economic view, and the density of the population (man per km2) for the spatial view. To present the data conveniently and clearly, we conducted the cluster analysis, set the dendrogram of the borderline areas of Southern Siberia. Conclusions. Determining the regions’ status by three anchors is more beneficial than traditional types of ranking and grouping, since it provides an unbiased view of the region, helps analyze the current socio-economic difficulties.

scholarly journals Cluster analysis of border areas in the southern part of Siberia

2021 ◽  
Vol 885 (1) ◽  
pp. 012046
Author(s):  
T M Oydup ◽  
S A Chupikova
Keyword(s):  
Cluster Analysis ◽  
Comparative Analysis ◽  
Social Economic ◽  
Border Region ◽  
Multidimensional Data ◽  
Subsistence Level ◽  
Border Regions ◽  
Problem Situations ◽  
The Status ◽  
And Cluster Analysis

Abstract The purpose of the work is to carry out a comparative analysis of the location of the regions, to determine the location and status of each border region, to identify the constituent entities of the Russian Federation with the similar position and problem situations. The present work solved the problem of multidimensional data classification using the grouping method and cluster analysis. We conducted a comparative analysis of the regions using three criteria: social, economic and territorial. The following indicators were used: for the social criterion – the ratio of average per capita income to the subsistence level; for economic – the level of real fiscal security; for territorial – population density (people/km2). The method of cluster analysis was applied, and a dendrogram was constructed for the border regions of Southern Siberia in order to present the data in a visual form. Determining the status of a region according to three criteria gives an advantage over the traditional types of ranking and groupings from viewpoint of the objectivity of determining the rating position of a region, analysis of current social-economic problems.

scholarly journals Behavioral patterns of consumers participating in food safety and social co-governance: consumption choices and environmental improvement

2019 ◽  
Vol 131 ◽  
pp. 01086
Author(s):  
Menghui Qiu ◽  
Zhijing Zhao
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Food Safety ◽  
Behavioral Patterns ◽  
Chinese Consumers ◽  
Consumption Choices ◽  
The Social ◽  
The Government ◽  
And Cluster Analysis ◽  
Behavior Models

Consumers are the most direct stakeholders of food safety, and their effective participation is the key to the social Co-governance of food safety. Based on the specific behaviors of Chinese consumers participating directly and indirectly in the social Co-governance of food safety, using the data of 350 consumers’ behavior survey and factor analysis and cluster analysis, this paper extracts two kinds of behavior models of Chinese consumers participating in the social Co-governance of food safety, namely, consumption choices model and environment improvement model. It is found that Chinese consumers are inclined to adopt the “environment improvement” model at this stage, which is the inevitable result of the current food safety pressure in China. The government should formulate corresponding policies to better guide consumers to participate in the social Co-governance of food safety.

Expanding the Methodological Approach to the Social Servicescape: Moving From Measurement to Manipulation

2020 ◽  
pp. 193896552094921
Author(s):  
Lydia Hanks ◽  
Nathaniel D. Line ◽  
Lu Zhang
Keyword(s):  
Methodological Approach ◽  
Three Dimensions ◽  
Future Research ◽  
Measured Variable ◽  
Service Environment ◽  
The Social ◽  
Research Questions ◽  
Tangible Element ◽  
And Behavior ◽  
Nomological Validity

Recently, research of the servicescape has expanded to include a social element in addition to the traditionally identified physical/tangible element. Typically, this social servicescape construct has been treated as a measured variable, reflecting the other customers in the service environment across three dimensions (i.e., similarity, behavior, and appearance). However, the exclusive use of measurement to operationalize a phenomenon limits both the types of methods that can be used and, correspondingly, the types of research questions that can be asked. Accordingly, the purpose of this research is to propose and test a scenario-based manipulation of the customer social servicescape construct so that future research can address the phenomenon using experimental design. Scenarios crossing the social servicescape with social density (i.e., crowding) are constructed in three different domains (restaurant, hotel, and retail) and tested in terms of their nomological validity by assessing the effects of the manipulated variables on attitudes and satisfaction. Our results demonstrate that the three elements of the social servicescape—similarity, appearance, and behavior—each had a direct and significant effect on attitude and satisfaction. In addition, these results were consistent across the hotel, restaurant, and retail contexts. The clarity and consistency of these findings indicate the viability of the social servicescape manipulations as a research tool.

scholarly journals A study about the social actions in the Brazilian retail sector

2008 ◽  
Vol 9 (3) ◽  
pp. 115-137
Author(s):  
Francisco José da Costa ◽  
Rubens da Costa Santos
Keyword(s):  
Cluster Analysis ◽  
Descriptive Analysis ◽  
Economic Value ◽  
Strong Relationship ◽  
Retail Sector ◽  
Social Actions ◽  
Geographic Spread ◽  
The Social ◽  
Getulio Vargas ◽  
And Cluster Analysis

The purpose of this article is to analyze the social actions undertaken by Brazilian retail companies. The study is justified by the need to have an on-going assessment of actions of this nature, bearing in mind that over the last 15 years many retail companies have been developing many social initiatives. The empirical data were taken from the database of information recorded by the Centro de Excelência no Varejo, of the Fundação Getulio Vargas. In order to assess the data, an adaptation of the James Austin (2000) model was made. Analysis of the data was predominantly exploratory, and involved the descriptive analysis, factor analysis, and cluster analysis. It was also made the cross analysis of the clusters generated with some of the variables. The results indicated a strong relationship between the social and economic value generated by the actions of companies and characteristics relating to their size, partnerships and the geographic spread of the actions.

Grown Up Digital: Effect Social Media Usage on Consumer Behavior

2015 ◽  
Vol 21 (4) ◽  
pp. 1035-1038 ◽  
Author(s):  
Robertus Tang Herman
Keyword(s):  
Social Media ◽  
Cluster Analysis ◽  
Significant Contribution ◽  
Decision Making Process ◽  
Media Usage ◽  
Customer Involvement ◽  
The Social ◽  
And Cluster Analysis ◽  
And Behavior ◽  
Behavior Profiling

The social media now becomes more powerful for customer in decision making process and behavior. In reality, social media also has a significant contribution for customer because many information and recommendation provided by social media. Social media usage and customer involvement in social networking will affect the consumers’ opinion, interest and behavior. This paper aims to investigate consumer usage behavior and mapping consumers profile based on the social media used. This research used Factor Analysis and Cluster Analysis to identify and analyze the social media usage. The result describes a significant affect of social media on consumer usage. From cluster analysis show the different consumer’s behavior profiling based on their social media usage relate to their profile. There is three characteristic level of consumers based on result study and the characteristic describe the consumers profile based on the reason of using social media.

scholarly journals The 40 health systems, COVID-19 (40HS, C-19) study

2020 ◽  
Author(s):  
Jeffrey Braithwaite ◽  
Yvonne Tran ◽  
Louise A Ellis ◽  
Johanna Westbrook
Keyword(s):  
Cluster Analysis ◽  
Health Systems ◽  
Economic Consequences ◽  
Three Dimensions ◽  
Global Competitiveness ◽  
Disease Trajectory ◽  
Index Approach ◽  
Global Competitiveness Index ◽  
And Cluster Analysis ◽  
National Governments

Abstract Background The health, social and economic consequences of the severe acute respiratory syndrome coronavirus (SARS-CoV-2, henceforth COVID-19) pandemic have loomed large as every national government made decisions about how to respond. The 40 Health Systems, COVID-19 (40HS, C-19) study aimed to investigate relationships between governments’ capacity to respond (CTR), their response stringency, scope of COVID-19 testing and COVID-19 outcomes. Methods Data over March and April 2020 were extracted for 40 national health systems on prepandemic government CTR (Global Competitiveness Index), stringency measures (Oxford COVID-19 Government Response Tracker Stringency Index), approach to COVID-19 testing and COVID-19 cases and deaths (Our-World-in-Data). Multidimensional scaling (MDS) and cluster analysis were applied to examine latent dimensions and visualize country similarities and dissimilarities. Outcomes were tested using multivariate and one-way analyses of variances and Kruskal–Wallis H tests. Results The MDS model found three dimensions explaining 91% of the variance and cluster analysis identified five national groupings. There was no association between national governments’ prepandemic CTR and the adoption of early stringent public health measures or approach to COVID-19 testing. Two national clusters applied early stringency measures and reported significantly lower cumulative deaths. The best performing national cluster (comprising Australia, South Korea, Iceland and Taiwan) adopted relatively early stringency measures but broader testing earlier than others, which was associated with a change in disease trajectory and the lowest COVID-19 death rates. Two clusters (one with high CTR and one low) both adopted late stringency measures and narrow testing and performed least well in COVID-19 outcomes. Conclusion Early stringency measures and intrinsic national capacities to deal with a pandemic are insufficient. Extended stringency measures, important in the short term, are not economically sustainable. Broad-based testing is key to managing COVID-19.

scholarly journals Differences and similarities in the milk production chain: a comparative analysis with the states of Minas Gerais and Paraná

2021 ◽  
Vol 12 (4) ◽  
pp. 1034-1051
Author(s):  
Adriano Oliveira Cruz ◽  
José Kennedy Lopes Silva ◽  
Elvis Magno da Silva ◽  
Antônio Carlos dos Santos ◽  
Luiz Marcelo Antonialli
Keyword(s):  
Cluster Analysis ◽  
Milk Production ◽  
Technical Assistance ◽  
Methodological Approach ◽  
Minas Gerais ◽  
Production Chain ◽  
High Productivity ◽  
Time Period ◽  
Significant Difference ◽  
And Cluster Analysis

Brazilian agriculture has played a prominent role all over the world, being milk production one of the exponents of the national agribusiness. The states of Minas Gerais and Paraná are protagonists in the milk production business in the country. The objective of this study was to evaluate the differences and similarities of the milk production chain in these two states, considering the period from 2008 to 2017, in order to investigate their dynamics and their competitiveness. The methodological approach adopted in the research was of a quantitative nature, with the use of the software “Statistical Package for the Social Sciences” (SPSS), which allowed the analysis to be carried out with the statistical techniques of analysis of variance (Anova) and cluster analysis. Ward’s agglomerative method and discriminant analysis were also adopted. The state of Minas Gerais presented a superior milk production chain in comparison with Paraná in every year analyzed; however, statistically there was no significant difference in the milk production from 2009 to 2017. Paraná presented better milk productivity averages as compared to Minas Gerais; it was highly significant (1%) from 2008 to 2016 and significant (5%) in 2017. The results of the cluster analysis indicated that, due to the fact that Paraná has higher productivity indexes in relation to Minas Gerais, its limits are better in relation to Minas Gerais in the analyzed aspects. It was found that some municipalities that are considered to have high productivity in Minas Gerais do not enter this same group in Paraná. It can be said that Paraná was shown to be more efficient in the milk production chain as compared to Minas Gerais in the analyzed time period. The article indicates the need to improve the technology used in the milk production chain, so that the numbers related to productivity can be improved. In addition, it was found that it is necessary to invest in genetics and technical assistance so that milk producers in the states surveyed can become more competitive.

Organic food consumer profile in the Republic of Serbia

2016 ◽  
Vol 118 (1) ◽  
pp. 164-182 ◽  
Author(s):  
Aleksandar Grubor ◽  
Nenad Djokic
Keyword(s):  
Cluster Analysis ◽  
Market Segmentation ◽  
Methodological Approach ◽  
Organic Food ◽  
Primary Data ◽  
Content Type ◽  
Starting Point ◽  
Food Market ◽  
The Republic ◽  
And Cluster Analysis

Purpose – Having the discrepancies between different descriptions of an organic food consumer profile in various researches worldwide as well as the causes of their emergence as a starting point, the purpose of this paper is to apply the method of preference-based market segmentation (by means of conjoint and cluster analysis) to Serbian organic food market, searching for advantages of using that methodological approach and deepening knowledge about specific organic food market. Design/methodology/approach – The research was conducted from May to July 2014 with 400 respondents participating (aged 18-30). Primary data were gathered by means of focus groups and a survey – structured personal interviews by using a questionnaire. Findings – When applying conjoint and cluster analysis to data about Serbian consumers’ preferences towards researched product, it is possible to identify a segment that prefers organic food the most. Compared to other segments, these consumers are predominantly female, somewhat more mature, with the highest proportion of employed and near the top by the percentage of respondents who are married and have children. They strongly value the importance of diet for health, a number of them have experience with a disease of a close person, which is believed that could be prevented by proper diet, but they do the least sports. Practical implications – The authors give managerial recommendations to actors operating at domestic organic food market. Originality/value – According to the authors’ knowledge, the first application of preference-based market segmentation by conjoint and cluster analysis to organic food market, performed in Serbia, generally characterised by scarce food consumer research.

Impact of the Locus of Causality and Internal Control on the Social Utility of Causal Explanations

2010 ◽  
Vol 69 (3) ◽  
pp. 173-179 ◽  
Author(s):  
Samantha Perrin ◽  
Benoît Testé
Keyword(s):  
Internal Control ◽  
Three Dimensions ◽  
Social Utility ◽  
External Control ◽  
Job Interview ◽  
Locus Of Causality ◽  
Causal Explanations ◽  
Professional Success ◽  
The Social ◽  
Different Types

Research into the norm of internality ( Beauvois & Dubois, 1988 ) has shown that the expression of internal causal explanations is socially valued in social judgment. However, the value attributed to different types of internal explanations (e.g., efforts vs. traits) is far from homogeneous. This study used the Weiner (1979 ) tridimensional model to clarify the factors explaining the social utility attached to internal versus external explanations. Three dimensions were manipulated: locus of causality, controllability, and stability. Participants (N = 180 students) read the explanations expressed by appliants during a job interview. They then described the applicants on the French version of the revised causal dimension scale and rated their future professional success. Results indicated that internal-controllable explanations were the most valued. In addition, perceived internal and external control of explanations were significant predictors of judgments.

Sign in / Sign up

Export Citation Format

Share Document