scholarly journals Neighborhood Effects on an Individual’s Health Using Neighborhood Measurements Developed by Factor Analysis and Cluster Analysis

2008 ◽  
Vol 86 (1) ◽  
pp. 5-18 ◽  
Author(s):  
Yu-Sheng Li ◽  
Ying-Chih Chuang
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Neighborhood Effects ◽  
And Cluster Analysis

STUDY ON PLANKTON OF DIFFERENT CATEGORIES OF LAKES IN SUMMER BY MEANS OF PRINCIPAL COMPONENT ANALYSIS, FACTOR ANALYSIS AND CLUSTER ANALYSIS

2010 ◽  
Vol 36 (1) ◽  
pp. 43-50
Author(s):  
Luo-Jun GONG ◽  
Shi-Ping ZHANG ◽  
Bang-Xi XIONG ◽  
Ding-Zhu LIU ◽  
Jin-Zhong LI ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Factor Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
And Cluster Analysis

scholarly journals Typology and characterization of the pampean beekeeping systems

2020 ◽  
Vol 51 (2) ◽  
pp. 299-318
Author(s):  
Tomás Bragulat ◽  
Elena Angón ◽  
Alberto Giorgis ◽  
José Perea
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Rural Areas ◽  
Export Market ◽  
Multivariate Techniques ◽  
High Productivity ◽  
Selection Of Variables ◽  
Socially Relevant ◽  
And Cluster Analysis ◽  
Random Survey

Objective: Identify and characterize the beekeeping systems of La Pampa (Argentina) using multivariate techniques based on the main structural, productive and economic characteristics. Methodology: The data was collected through a random survey of 80 beekeepers. The classification and description of the apicultural systems was based on a multivariate sequence comprising three stages: review and selection of variables, factor analysis and cluster analysis. Results: Factor analysis revealed that the size of the farm and the productive and economic performance of beekeeping jointly explained 66% of the variability. Through cluster analysis, three types of beekeeping have been identified: (i) Subsistence beekeeping grouped 55% of the farms, mainly characterized by small sizes and low productive and economic yields. (ii) Industrial beekeeping concentrated 54% of production in 15% of farms, mainly characterized by large sizes and high productive and economic yields. (iii) Commercial beekeeping grouped 30% of the farms, mainly characterized by high productivity with intermediate sizes. Limitations: The study has been carried out on a few farms due to the difficulty of obtaining answers to all the variables included in the survey. Practical implications: Beekeeping in La Pampa is generally a highly heterogeneous complement of income or family subsistence, with low productivity and low input use. Subsistence beekeeping is a socially relevant system for its contribution to family employment and income in rural areas. Industrial beekeeping is oriented to the export market and has a more competitive scale. Commercial beekeeping is situated on an intermediate scale.

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.

Typology of online shoppers

2003 ◽  
Vol 20 (2) ◽  
pp. 139-156 ◽  
Author(s):  
Ah Keng Kau ◽  
Yingchan E. Tang ◽  
Sanjoy Ghose
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Information Seeking ◽  
Online Shopping ◽  
Demographic Information ◽  
Buying Behavior ◽  
Internet Users ◽  
Online Shoppers ◽  
And Cluster Analysis ◽  
Online Buying

This article aims to examine the online buying behavior among a group of Internet users. Based on a sample of over 3,700 Internet users, this study explores their information‐seeking patterns as well as their motivations and concerns for online shopping. Factor analysis and cluster analysis were used to classify the respondents into six types of online shoppers. Coupled with their demographic information and actual buying behavior, it was possible to constitute a distinct profile for each of the segments. Discriminant analysis was also conducted to seek out the important attitudinal variables that differentiated the various clusters of online shoppers. The implications of such classification are also discussed.

The Assessment of Economic Performance of OECD Countries—Factor Analysis and Cluster Analysis

1994 ◽  
Vol 5 (2) ◽  
pp. 65-78
Author(s):  
Peijie Wang
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Comparative Study ◽  
Economic Performance ◽  
Oecd Countries ◽  
Factor Scores ◽  
Economic Variables ◽  
Two Factors ◽  
The Common ◽  
And Cluster Analysis

This paper studies the economic performance of 19 OECD countries. Eight economic variables are selected to describe the economic performance which are incorporated into two factors afterwards by factor analysis. The relations among the variables and that between factors and variables are analysed. A comparative study is made, based on the factor scores of these 19 countries; and the countries are classified into 5 categories using cluster analysis, according to their similarities in the variables and the extracted factors. The common characteristics of the countries with similar economic performances on the two factors are discussed. The paper presents an outline of the nations’ economic performance during this period. It is quite interesting, as a by-product finding, that the countries sharing the economy similarities also have the geographical communalities.

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