Categorical Principal Component Analysis Research Articles

Измерение межкультурной компетентности педагога: разработка и апробация Теста ситуационных суждений ТСС-МКК

The article describes the development and testing of the SJT-ICC situational judgment test designed to measure intercultural competence of a teacher in the form of behavioral preferences in the professional field of interaction with students and their parents. This approach makes it possible to assess behavioral aspects of intercultural competence in a particular professional area more effectively than survey methods. The SJT-ICC consists of 18 cases from pedagogical practice and four possible behavioral options for the teachers, from which the subject must choose the most appropriate one. These situations were prepared on the basis of qualitative research in the format of in-depth interviews centered around difficult, critical situations that a teacher encounters when working with children and par¬ents from other cultures (n=53). The assessment of the intercultural competence of the answer options was made on the basis of an expert survey of 23 special-ists.1367 teachers took part in the research to validate and check the consisten¬cy of the SJT-ICC. The outcome of the categorical principal component analysis (CatPCA) was a one-scale structure of the SJT-ICC which was confirmed by the confirmatory factor analysis. The relationship between the results of the SJT-ICC and the scales used for validation is predictable: intercultural competence is associated with indicators of professional success of a teacher working with students of other cultures. It is concluded that the SJT-ICC can be effectively used to assess the prerequisites for intercultural success among Russian teachers.

Are Female Paraphilias Hiding in Plain Sight? Risqu\xe9 Male\u2013Male Erotica for Women in Sinophone and Anglophone Regions

Female-oriented male–male erotica is a genre of popular culture often know as Boys’ Love (BL), yaoi, and danmei. It is one of the largest by-and-for women sexual subcultures and a global phenomenon. With the largest data sets in the field, we ask: Which risqué sexual content do Sinophone (Chinese-speaking) and Anglophone (English-speaking) participants particularly enjoy in BL and does this differ between cultures?, and Are there sub-demographics in Sinophone and in Anglophone culture who enjoy particular forms of risqué sexual content in BL and do these forms relate also to enjoyment of particular storylines and concern with legal issues? The material studied meets the DSM-5 definition of the paraphilic, and little is known about paraphilias in women or in the general population. Using Categorical Principal Component Analysis we explored one 15-response question from our Sinophone (N = 1922) and Anglophone (N = 1715) BL fandom surveys: Which risqué sexual content do you particularly enjoy in BL? We also tested for associations with seven demographic and other BL content-related questions. Notably, the component structure was nearly replicated between the two independent samples, in order of strength: BDSM Specialist, Mechanoid/Animal Sex Specialist, Underage Sex Specialist, and Minority Paraphilia Specialist. In both samples, it was the avid BL fans and/or those who liked explicitly sexual stories, a largely overlapping demographic, who most engage the risqué content, while, for the Sinophone, this included also more non-heterosexual and/or other-gendered people. We conclude that women’s paraphilias have been largely overlooked because they might be expressed more commonly through fantasy than action, that their mass expression has awaited both the means and the market force, and that current conceptualization of, and assumptions about, paraphilias is overly modeled on that of men.

The Risk Perception COVID-19 Scale (RP-COVID19-S): Initial Validation and Its Relationship with Gender and Age in a Cuban Population Sample.

BackgroundRisk perception about COVID-19 constitutes an important variable contributing to promotion of personal protection practices. The aims of this study were to exploring the factorial structure of the risk perception COVID-19 scale (RP-COVID19-S) in a sample of Cuban adults and to identify its relationship with variables such as gender and age.MethodsA cross-sectional web-based survey design was conducted. The sample comprised 394 Cuban participants. Categorical Principal Component Analysis (CATPCA) was used to explore internal factorial structure of the scale. Logistic regression was modeling to identify variables independently associated with RP about COVID-19.ResultsCATPCA allowed identifying a three-dimensional factorial structure into the scale: knowledge and beliefs, emotional reactions and behavioral dissonance, and motivations for change. The odds of a woman with middle RP compared to low RP was 2.17 times more than for a man. Also, the odds of a woman with high knowledge and beliefs compared to low knowledge and beliefs were 1.96 times more than for a man. The odds of a person in older group, with middle risk perception compared with low level, was 5.0 (global risk perception), 3.33 (knowledge and beliefs), and 3.13 (emotional reactions and behavioral dissonance) times more than for a person in younger group, respectively.ConclusionThe Risk Perception to COVD-19 Scale (RP-COVID-19-S) showed satisfactory psychometric properties to evaluated risk perception related to COVID-19 in Cuban population sample. Middle level of global risk perception was found in the sample. High level of risk perception about COVID-19 was found on participants older than 42 years old and in woman.

What are the risk behaviors of Brazilian and Portuguese drivers? An exploratory approach using self-reported data

Brazil and Portugal are historically related; however, they differ regarding at least economic development, infrastructure, and road safety. Identifying risk behaviors contributes to supporting actions focused on the human factor to mitigate crashes. In this study, as part of an electronic survey, we examined the risk behaviors that drivers from Brazil (n = 1,354) and Portugal (n = 348) self-reported adopting while driving. We used the short version of the Driver Behavior Questionnaire (DBQ) and a specific scale for risk behaviors (Updated Risk Behavior Items – URBI) developed by the authors. We identified risk behaviors for the two countries through an exploratory validation approach (Categorical Principal Component Analysis - CATPCA). We used the self-reported data and CATPCA technique, considering interpretability, variance explained, cross-loading, Cronbach Alpha and Spearman correlation. The exploratory analysis resulted in a structure with 22-items from DBQ and URBI scales organized in seven dimensions representing the risk behaviors: Errors, Speeding, Driving under the influence of alcohol, Seat Belt Not-wearing, Cell phone use while driving in hands-free mode, Fatigue, and Driver Anger Expression. Our approach enables us to identify the risk behaviors among Brazilian and Portuguese drivers from DBQ and URBI. The URBI items made it possible to update the risk behavior scale considering the driver's behavior related to alcohol, fatigue, cell phone and use of seat belts. The quality of road infrastructure and legislation on drinking and driving could explain the difference in crash involvement due to speeding behavior and driving under the influence of alcohol in each country.

The role of structural and process quality of family planning Care in Modern Contraceptive use in Indonesia: a multilevel analysis

IntroductionDespite contraceptive behaviors are influenced by multiple and multilevel variables, studies on modern contraceptive use in Indonesia has concentrated on single-level and mostly individual and household variables, and less interest has been devoted to multilevel analysis that accounts for community and SDP characteristics that may affect woman’s decision to use modern FP method. This study aimed to assess the role of structural and process quality of family planning care in modern contraceptive use among women in reproductive ages in Indonesia.MethodsThis study analyzed data from the 2016 PMA2020 survey of 10,210 women in 372 enumeration areas in Indonesia. The data were analyzed using categorical principal component analysis and multilevel mixed-effects logistic regression.ResultsThe key variables for structural quality were number of contraceptive provided, SDP supports CHWs, available water and electricity, and skilled FP personnel, while the main factors for process quality were privacy of clients and provision of post-abortion service. There were significant differences across communities in how study variables associated with modern FP adoption. The finding shows the evidence of significant roles of structural and process quality FP care in modern contraceptive use. Moreover, women with high autonomy in FP decision, those who had free national/district health insurance, and those living in a community with higher proportion of women visited by CHW, had higher odds of modern contraceptive usage. Yet, women who live in a community with higher mean ideal number of children or greater proportion of women citing personal/husband/religion opposition to FP, had lower odds of modern contraceptive use than their counterparts.ConclusionStudy findings suggest improvement in structural and process quality of FP care will yield substantial growths in modern contraceptive use. Moreover, FP workers should also address adverse cultural/traditional customs in community and should target communities where the demand for modern FP was degraded by opposing social beliefs and norms. There was significant variation across communities in how individual, household, community, and SDP factors affect modern FP practice, hence, context should be taken into consideration in the development of FP intervention and promotion programs.

High blood pressure in children and adolescents from urban peripheral areas of La Plata, Argentina

Objective: The aim of the present study was to estimate the prevalence of high blood pressure in schoolchildren aged 4-14 years from urban peripheral areas of the city of La Plata, and analyze variations in high blood pressure prevalence by sex, age, excess weight and family socioeconomic status. Materials and methods: Systolic and diastolic blood pressure, body weight and height were measured in 3,312 schoolchildren of both sexes. The prevalence of high blood pressure (HBP), overweight and obesity was calculated. Socioeconomic information was obtained through a semi-structured survey and processed by categorical principal-component analysis. The prevalence of HBP was compared with sex, age and nutritional status (chi square test) and family socioeconomic status (generalized linear model) (p< 0.05.). Results: The results showed that the prevalence of HBP, was 20.5% and that it varied by age, nutritional status and family socioeconomic status. Sexual differences were observed only in HBP obese schoolchildren. Conclusions: Children and adolescents living in urban peripheral areas of the city of La Plata, Argentina, presented higher HBP prevalence. While HBP prevalence was higher among overweight/obese children, those aged >8 years and those of more favorable family socioeconomic status, sex did not affect HBP development. However, when HBP was analyzed associated with nutritional status, obese boys were more likely to have HBP than girls.

Sociodemographic disparity in health-related behaviours and dietary habits among public workers in China: a cross-sectional study

ObjectiveWe aimed to estimate the distribution of health-related behaviours and dietary habits by sociodemographics among public workers in China.DesignCross-sectional study.SettingA representative sample was obtained from 10 government-run institutions in Hunan...

Study on the Lamb Meat Consumer Behavior in Brazil

In Brazil, the sheep market, including lamb meat consumption, is regionalized, and the consumption of lamb meat is higher in production areas; yet, consumption of lamb still remains below that of other meat livestock. The aim of this study was to identify the profile of Brazilian lamb meat consumers in order to understand their behavior in relation to food in general and on the consumption of this species. Therefore, a survey on consumer habits and preferences regarding food buying and consumption habits, their preferences in relation to the quality attributes of lamb meat, and sociodemographic characterization was performed. Data collected were analyzed by nonlinear canonic relationship analysis and categorical principal component analysis, followed by multiple factor analysis. Three consumer profiles were identified: traditional, interested, and disinterested, and a fourth group was considered independent but could not be described. Among lamb meat consumers, men with higher income seemed to be more frequent consumers than the others, and the intrinsic characteristics of meat quality, especially color and freshness, were the most important at the time of purchase. Thus, the results could be important to the industry in order to guide marketing strategies to certain niche markets.

Hidden patterns among the fatally injured pedestrians in an Iranian population: application of categorical principal component analysis (CATPCA)

BackgroundIdentifying hidden patterns and relationships among the features of the Fatal Pedestrian Road Traffic Injuries (FPRTI) can be effective in reducing pedestrian fatalities. This study is thus aimed to detect the patterns among the fatally injured pedestrians due to FPRTI in East Azerbaijan province, Iran.MethodsThis descriptive-analytic research was carried out based on the data of all 1782 FPRTI that occurred in East Azerbaijan, Iran from 2010 to 2019 collected by the forensic organization. Categorical Principal Component Analysis (CATPCA) was performed to recognize hidden patterns in the data by extracting principal components from the set of 13 features of FPRTI. The importance of each component was assessed by using the variance accounted for (VAF) index.ResultsThe optimum number of components to fit the CATPCA model was six which explained 71.09% of the total variation. The first and most important component with VAF = 22.04% contained the demographic and socioeconomic characteristics of the killed pedestrians. The second-ranked component with VAF = 12.96% was related to the injury type. The third component with VAF = 10.56% was the severity of the injury. The fourth component with VAF = 9.07% was somehow related to the knowledge and observance of the traffic rules. The fifth component with VAF = 8.63% was about the quality of medical relief and finally, the sixth component with VAF = 7.82% dealt with environmental conditions.ConclusionCATPCA revealed hidden patterns among the fatally injured pedestrians in the form of six components. The revealed patterns showed that some interactions between correlated features led to a higher mortality rate.

Black Girls in Mathematics: (Re)envisioning an Inclusive Parent Involvement Measure

Building upon research utilizing Martin’s Mathematical Socialization and Identity Framework, we examine factors related to community and family involvement to advance the current discourse that informs policies. Data from the High School Longitudinal Study (HSLS:09) public-use file provided a sample of 1,029 Black girls for our analyses. We developed a theoretically-sound inclusive measure, as defined by Black girls, titled the Community and Family Involvement Predictive Scale for Mathematics Outcomes utilizing Nonlinear Principal Components Analysis with a Categorical Principal Components Analysis program. Results are an intersectional measure that considers family, peers, and teachers. Implications for policy include a need for federal, state, and district policymakers to consider a wider variety of contexts, specifically for Black girls, in which community and family partnerships are empowered and prioritized in policies focused on parental involvement.

Influence of environmental drivers on allergy to pollengrains in a case study in Spain (Madrid): meteorological factors, pollutants, and airborne concentration of aeroallergens.

The aim of this study was to compare airborne levels of Phl p 1 and Phl p 5, with Poaceae pollen concentrations inside and outside of the pollen season, and to evaluate their association with symptoms in grass allergic patients and the influence of climate and pollution. The Hirst and the Burkard Cyclone samplers were used for pollen and allergen quantification, respectively. The sampling period ran from 23 March 2009 to 27 July 2010. Twenty-three patients with seasonal allergic asthma and rhinitis used an electronic symptom card. The aerosol was extracted and quantified for Phl p 1 and Phl p 5 content. Descriptive statistics, non-parametric paired contrast of Wilcoxon, Spearman's correlations, and a categorical principal component analysis (CatPCA) were carried out. Significant variations in pollen, aeroallergen levels, pollen allergen potency, and symptoms score were observed in this study. Phl p 5 pollen allergen potency was higher at the beginning of the 2010 grass pollen season. Presence of Phl p 1 outside the pollen season with positive O3 correlation was clinically relevant. 45.5% of the variance was explained by two dimensions in the CatPCA analysis, showing the symptom relationships dissociated in two dimensions. In the first one, the more important relationship was with grass pollen grains concentration and Phl p 5 and to a lesser extent with Phl p 1 and levels of NO2 and O3, and in the second dimension, symptoms were associated with humidity and SO2. Clinically relevant out-season Phl p 1 was found with a positive O3 correlation. The effect of climate and pollution may have contributed to the higher seasonal allergic rhinitis symptom score recorded in 2009.

Use of Digital Technology in Teaching. Analysis of Results Using Basic Descriptive Statistics and Categorical Principal Components

A descriptive-quantitative study was conducted to compare two methods of analysis. A quantitative-descriptive research was carried out on the perception of digital technology as a support tool in teaching. A standardized questionnaire was applied to identify the following dimensions of technology use: frequency, benefits, infrastructure, and perception of institutional policies. The analysis was carried out with arithmetic means and with categorical principal component analysis (PCA). The results in both methods indicate that teachers who conduct research use digital technology the most, while experimental teachers use it the least. The PCA method is more robust and allows to obtain the reliability of the results obtained, its use is recommended on the basic statistical analysis to increase the validity of the results.

Characterization of dairy innovations in selected milksheds in Kenya using a categorical principal component analysis

To enhance milk quantity and quality which have continued to decrease in Kenya, various stakeholders have intervened through promotion of technical dairy innovations at the farm level including improved cow feeding, health management, promotion of exotic breeds, and milking hygiene. At the milkshed level, stakeholders’ focus has been on organizational innovations, specifically milk sale by farmers through groups. This study sought to characterize dairy innovations that have been adopted by farmers in the milkshed of three milk processors including New Kenya Co-operative Creameries Sotik (NKCC Sotik), Happy Cow Limited (HCL), and Mukurweini Wakulima Dairy Limited (MWDL), representing one state, private, and farmer-owned processor, respectively. Data were collected using a structured questionnaire from a sample of 1146 farmers (410, 382, and 354 in MWDL, HCL, and NKCC Sotik, respectively). A categorical principal components analysis was used to reduce 32 variables into four sets of uncorrelated components. Four categories were identified including principal component (PC) 1 (technical capacity), PC 2 (animal health management), PC 3 (organizational capacity), and PC 4 (milk hygiene). More farmers in the milkshed of MWDL adopted technical and organizational dairy innovations such as use of artificial insemination and milk sale through groups, respectively, than farmers in milkshed of NKCC and HCL. The county governments in the milkshed of HCL and NKCC Sotik need to strengthen cooperative societies to boost adoption of artificial insemination through arrangement in which milk is sold and payment of services offered on credit is settled from milk sale and ensure milk market availability throughout the year.

Socio-economic Development of Darjeeling Himalayas: Categorical Principal Component Analysis (CATPCA) and Ordinal Logistic Regression (OLR)

The measurement of regional development plays a crucial role in improving the quality of life of local communities. However, the process of analyzing the regional progress was challenging as regional development was presented as a multidimensional concept. Nonetheless, the study's primary objective was to understand the indicators that genuinely reflect the development process's various dimensions in the northernmost district of West Bengal, Darjeeling Himalayas. Seven dimensions of development, namely psychological well-being, health, education, governance, safety and crime, energy and environment and standard of living were identified for analyzing the socio-economic development of the Darjeeling Himalaya. A questionnaire was framed and circulated in the region for the collection of data. By applying Categorical Principal Component Analysis (CATPCA), the data collected was aggregated into the above mentioned seven dimensions of development and analyzed the relationship between these development indicators through the Ordinal Logistic Regression model (OLR). The results showed that education and governance indicators had a significant impact on the psychological wellbeing. Governance was affected by psychological wellbeing, while standard of living was affected by psychological wellbeing and health indicators in the region.

Understanding the perceived productivity of office occupants in relation to workspace thermal environment

ABSTRACT This study examines the perceived productivity of office occupants in moderate thermal environments in Chile. Specifically, it analyses environmental parameters and contrasts participants’ self-reported answers to cross-sectional and retrospective questionnaires. To this end, data were collected for one day in winter and one day in summer, in eighteen office buildings in the cities of Concepción and Santiago. The results show that the average operative temperatures are 22.2 °C in winter and 23.5 °C in summer. 80.5% of the occupants declared their productivity to be normal on the cross-sectional survey. However, on the retrospective survey, 82.7% said that their productivity is affected by the thermal environment. To reveal the interrelationships between perceived productivity and the thermal environment, a categorical principal components analysis was carried out. It demonstrated that there is only a relationship between cross-sectional and retrospective productivity in winter. Subsequently, a good-fitting structural equation model was created, which showed that different relationships exist between the variables. These findings could enable organizations and design professionals to better understand occupants’ perceived productivity in relation to thermal conditions in office buildings.

Islamic banking sustainability: theory and evidence using a novel quadruple bottom line framework

PurposeThe study aims to extend the conventional triple bottom line (TBL) framework (prosperity, people and planet) to the quadruple bottom line (QBL) by newly adding a “prophet” dimension for Islamic banks seeking compliance with Islamic law in their pursuit of sustainability.Design/methodology/approachEmploy Chapra's corollaries of maqasid al-shari'ah (the goals of Islamic law) to develop constructs for a survey of 504 Islamic bank stakeholders from five Indonesian provinces to gather primary data to quantitatively verify the dimensions and items in the proposed QBL framework. Categorical principal component analysis (CATPCA) then identifies the sustainability of ten Islamic banks from ten countries as a trial application of the resulting QBL index.FindingsUsing the dimensions and items identified using CATPCA, the authors develop a QBL index to assess the sustainability of the ten Islamic banks. The findings suggest that half of the banks are sufficiently sustainable, with three being proactive (doing more than is required) and two being accommodative (doing all that is required). The remaining five banks are unsustainable, with two banks being defensive (doing the least that is required) and three being reactive (doing less than is required). Most of the banks perform relatively poorly according to the “planet” (38%) and “people” (41%) dimensions and perform better on the “prosperity” (53%) and “prophet” (63%) dimensions. Nonetheless, there is ample room for improvement across all dimensions of sustainability.Research limitations/implicationsThe generalizability of the findings is limited by the small-scale single-country survey used in the CATPCA part of the analysis. Only ten Islamic banks were included in the QBL scoring and ranking exercisesPractical implicationsIslamic banks can improve their sustainability by increasing green financing and reaching out to rural areas and disadvantaged populations. In countries with Islamic banking systems, regulators can support this through training, guidance and incentives.Originality/valuePioneering exploration of TBL from maqasid al-shari'ah perspective. First, we develop a QBL index to assess the sustainability of Islamic banks in line with actual stakeholder expectations.

A rapid qualitative methodology for ecological integrity assessment across a Mediterranean island's landscapes

Rapid qualitative field methods can be used to evaluate ecological integrity (EI) at a landscape level. This study evaluates the EI of 63 landscape types (LCTs) in Cyprus derived from Landscape Character Mapping. Following a stratified sampling, LCTs were evaluated using 209 Land Description Units (LDUs) i.e., homogeneous map entities, sharing a similar pattern of natural and cultural elements. In every LDU, six ecological integrity (EI) indicators were visually assessed consistently namely naturalness, habitat continuity, number of habitats, dominant habitat type, management intensity and scale. TwoStep Cluster Analysis was employed to identify EI categories, and Categorical Principal Components Analysis (CATPCA) to associate the individual indicators with overall EI in the LDUs. Linear regressions were used to predict EI based on the most important indicators. Forested and shrubland landscapes have consistently good EI with low variation, while urbanized and agricultural landscapes have lower EI. There is great variation in the number of agricultural landscape types and their EI. There are significant linear relationships between EI and naturalness, habitat continuity and intensity. The novelty of this work lies with the fact that it provides the first island-wide study in the Mediterranean assessing EI spatially through a small number of indicators. Results indicate that LCA can be an appropriate consistent and inexpensive spatial framework for assessing EI, which can be directly associated with management intervention to maintain or improve EI.

The effect of Confucian culture on household risky asset holdings: Using categorical principal component analysis

AbstractConfucianism, as an informal system, influences the risk preferences of households and, therefore, affects households' investment behaviours. This study investigates the effects of Confucian culture on household risky assets by using data from the 2016 China Family Panel Studies and using categorical principal component analysis. The empirical results reveal that Confucian culture is negatively correlated with risky assets held by households. Specifically, households more influenced by Confucian culture demonstrate a low probability of participating in the risky financial market and a decreased proportion of risky asset holdings. Further research indicates that this negative correlation is diminished in areas with high levels of social trust. Furthermore, foreign culture impact drives households to enter financial markets. Therefore, the Chinese government must thoroughly consider the potential effects of culture when formulating policies, utilize Confucian culture's adaptation to modern society and promote the healthy development of the financial market. This study augments the household finance theory from the perspective of informal systems and contributes to the research on ‘culture and finance.’

Shopping tourism with a focus on the clothing industry in relation to globalization

Research background: The paper deals with the connections between international tourism and shopping, and therefore the purchase of clothing in relation to consumers. In the last few years, shopping has become one of the factors determining tourist’s decisions about choosing a travel destination. One-third of tourists have ever travelled just to buy clothes abroad. Such behaviour offers enormous economic potential for companies and the state economy. Shopping tourism is an integral part of globalization. Purpose of the article: The article’s aim is to characterize the elements of consumer behaviour in the framework of shopping tourism when buying clothing products. In addition to consumer preferences, the aim is to characterize the main types of clothing products that travellers are interested in and the impact of this consumer behaviour on the globalization. Methods: A questionnaire is compiled on the basis of stated hypotheses. The results will be evaluated using appropriate statistical methods such as the Kruskal-Wallis test, Spearman’s correlation coefficient and categorical principal components analysis. Findings & Value added: Research has shown that the first group of preferred garments consists of local products at a higher price level produced in low quantity. The second type of product is low-cost garments produced at a high cost under conditions that do not correspond to the principles of sustainable development. The clothing industry impact on global sustainable development is largely negative. In this regard, we can talk about the negative impact of globalization. This is no different from tourism.

Typology and sustainability assessment of rabbit farms in the urban and peri-urban areas of Southern Benin (West Africa)

<p>Analysis of production systems allows scientists to identify their weaknesses, particularly concerning production practices which require improvements at economic, social, and environmental levels. The present study aimed to characterise rabbit farms in the urban and peri-urban areas of South Benin and assess their sustainability using the DIAMOND method, a multicriteria sustainability assessment tool. Ninety-eight farmers were surveyed and individually interviewed. Categorical principal component and twostep cluster analyses were performed on information collected for a typology of farms. Sustainability scores were generated using the scoring scale of the DIAMOND tool. Five types of rabbit farms were identified as follows: modern extensive polyculture, traditional extensive monoculture, modern extensive monoculture, semi-intensive polyculture, and traditional extensive polyculture. Overall, all the rabbit farms had good scores for the economic sustainability pillar but were socially limited. They were all similar in their economic and environmental performances. In particular, semi-intensive farms were the most socially sustainable, whereas traditional farms (either in polyculture or monoculture) showed the lowest social performances. Furthermore, there were significant differences between farms for criteria relating to consumers’ demands and resource use. Semi-intensive farms responded best to consumers’ demands, whereas the traditional polyculture farm type was the most resource use efficient. Overall, in the urban and peri-urban areas of South Benin, the most sustainable rabbit farms were semi-intensive. Irrespective of farm type, positive coefficients of correlations were recorded among the three pillars of sustainability, being significant between the social and economic pillars on one hand, and between the social and environmental pillars on the other hand. These results suggest that efforts to improve farm social performance would also positively affect their economic and environmental performances and improve overall farm sustainability.</p>