Predictors of e-service Consumption in a Highly Productive Brazil-Russia-India-China-South Africa Region Sample

2020 ◽  
Vol 12 (1) ◽  
pp. 39-56 ◽  
Author(s):  
Kenneth David Strang ◽  
Narasimha Rao Vajjhala
Keyword(s):  
South Africa ◽  
Consumer Satisfaction ◽  
Large Population ◽  
Binary Logistic Regression ◽  
Purchase Behavior ◽  
Cultural Perspective ◽  
Binary Logistic Regression Model ◽  
Brics Countries ◽  
Two Factors ◽  
Positive Feelings

The authors investigated consumer e-commerce behavior in a Brazil-Russia-India-China-South-Africa (BRICS) region from a socio-cultural perspective. BRICS countries are important to study because they have a large population representative of other global e-services markets, they account for 40% of the world's population, 26% of the world's land and approximately a third of the world's gross domestic economic e-commerce production, plus residents are habitual consumers of mobile technology like smartphones. A binary logistic regression model revealed that young educated consumer satisfaction with e-services, e-service happiness, positive feelings and e-service pleasant feelings, but not e-service excitement, could predict purchase behavior. The model correctly classified 87.3% of the e-commerce consumers using two factors and a second model with one factor correctly categorized 90.5% of them. These results are important for managers and academics to consider.

scholarly journals Household Food Security Status and Its Determinants in Maphumulo Local Municipality, South Africa

2018 ◽  
Vol 10 (9) ◽  
pp. 3307 ◽  
Author(s):  
Primrose Ngema ◽  
Melusi Sibanda ◽  
Lovemore Musemwa
Keyword(s):  
South Africa ◽  
Food Security ◽  
Food Consumption ◽  
Dietary Diversity ◽  
Binary Logistic Regression ◽  
Sampling Technique ◽  
Household Food Security ◽  
Binary Logistic Regression Model ◽  
Household Food ◽  
Food Security Status

Food security at the household level remains a major issue in South Africa and for many other developing countries, particularly those in Africa. As a means of ensuring food security in KwaZulu-Natal province, various food security intervention programmes were launched. Nonetheless, food security remains an issue among households in the province. This paper estimates the household food security status of the “One Home One Garden” (OHOG) beneficiaries against that of non-beneficiaries and assesses the determinants of household food security status in Maphumulo. A stratified random sampling technique was used to sample 495 households (including 330 OHOG beneficiaries and 165 non-beneficiaries). The status of household food security was estimated by means of a “Household Dietary Diversity Score” (HDDS). Additionally, a Household Food Consumption Score” (HFCS) tool was employed to supplement the HDDS. The results showed that food consumption patterns were characterized by medium (4.89) and average (4.22) HDDS for the OHOG beneficiaries and non-beneficiaries, respectively. Taking HDDS as a proxy for household food security, an independent samples t-test (Levene’s test—equal variances assumed) reveals a significant (p < 0.001) relationship between the sample means of the two groups. A greater proportion (65%) of the OHOG beneficiaries had an acceptable (≥35) HFCS level, whereas just over half (54%) of the non-beneficiaries fell in the borderline (21.5 to 35) HFCS level. The determinants of household food security status were elicited by means of a binary logistic regression model. The results revealed that education (p = 0.036), receiving infrastructural support (irrigation) (p = 0.001), and participation in the OHOG programme (p = 0.000) positively influenced the food security status of households, yet household income (p = 0.000) and access to credit (p = 0.002) showed a negative correlation. This paper proposes that government and developmental agencies, in their efforts to enhance food security through food security intervention programmes, should support households by investing in education and agricultural infrastructure, as well as giving priority to smallholder infrastructural irrigation support for households that largely rely on rain-fed systems.

scholarly journals A simulated archival tagging programme for albacore (Thunnus alalunga) in the Northeast Atlantic, including an analysis of factors affecting tag recovery

2010 ◽  
Vol 67 (6) ◽  
pp. 1216-1221 ◽  
Author(s):  
Ronan Cosgrove ◽  
Igor Arregi ◽  
Deirdre Brophy ◽  
Haritz Arrizabalaga ◽  
Victoria Ortiz de Zarate ◽  
...  
Keyword(s):  
Environmental Variables ◽  
Binary Logistic Regression ◽  
Fishing Gear ◽  
Optimal Conditions ◽  
Binary Logistic Regression Model ◽  
Factors Affecting ◽  
Northeast Atlantic ◽  
Archival Tags ◽  
Two Factors ◽  
Thunnus Alalunga

Abstract Cosgrove, R., Arregi, I., Brophy, D., Arrizabalaga, H., Ortiz de Zarate, V., and Griffin, N. 2010. A simulated archival tagging programme for albacore (Thunnus alalunga) in the Northeast Atlantic, including an analysis of factors affecting tag recovery. – ICES Journal of Marine Science, 67: 1216–1221. An archival tagging programme in the Northeast Atlantic would assist in testing the hypothesis that subpopulations of juvenile albacore exist within the region and provide important information on fish behaviour in relation to environmental variables. No information was available, however, on the ability of juvenile albacore to carry costly implanted archival tags, or on rates of tag recovery. A simulated archival tagging study on albacore using simulated or “dummy” archival tags was therefore carried out in the Bay of Biscay from 2005 to 2008. In all, 353 fish were tagged and released, and 9 fish (2.55%) were recaptured. A comprehensive ICCAT database of conventionally tagged fish in the Northeast Atlantic was also analysed to determine whether optimal conditions at the time of release could be identified and used to boost recovery rates in future tagging programmes. A binary logistic regression model using a response variable with two possible outcomes, recaptured or not recaptured, was developed, then tested on two datasets to deal with association between variables. Effort and fishing gear were significant in the first dataset, and length class and fishing gear in the second. The last two factors can be manipulated, and a recapture rate of >5% was predicted if derived optimal tagging conditions are followed in future tagging programmes.

scholarly journals Determinants of youth unemployment in South Africa: evidence from the Vhembe district of Limpopo province

2016 ◽  
Vol 7 (4) ◽  
pp. 59-67 ◽  
Author(s):  
Mbulaheni Albert Dagume ◽  
Agyapong Gyekye
Keyword(s):  
South Africa ◽  
Logistic Regression ◽  
Work Experience ◽  
Logistic Regression Model ◽  
Binary Logistic Regression ◽  
Youth Unemployment ◽  
Skills Training ◽  
Limpopo Province ◽  
Binary Logistic Regression Model ◽  
Vhembe District

The persistent high unemployment rate confronting South Africa, in particular among the youth, continues to be a cause of concern for all stakeholders including academic researchers dealing with labor market issues. As a contribution to efforts at finding solution to the unemployment challenge, the study sought to investigate the nature and causes of rural unemployment amongst the youth using data on a sample of 580 randomly and systematically selected youth from the four local municipalities in the Vhembe district of Limpopo province, South Africa. Binary logistic regression model was estimated to determine the socio-demographic, as well as economic factors that influence youth unemployment. Results of the binary logistic regression model showed that having received (skills) training and work experience were associated with reduced odds of being unemployed. This study highlights the importance of skills training opportunities, as well as apprenticeship in mitigating the unemployment challenge among the youth. The provision of necessary training infrastructure and funding for skills training, as well as work integrated learning and extended career specific internship programs to help to equip South African youth with work experience are major recommendations from this study. Keywords: unemployment, youth, binary logistic regression, Vhembe district, South Africa. JEL Classification: J64

scholarly journals Determinants of Climate Change Awareness among Rural Farming Households in South Africa

2018 ◽  
Vol 10 (5(J)) ◽  
pp. 116-124 ◽  
Author(s):  
Oduniyi Oluwaseun Samuel ◽  
Antwi Micheal ◽  
Busisiwe Nkonki-Mandleni
Keyword(s):  
Climate Change ◽  
South Africa ◽  
Binary Logistic Regression ◽  
Sampling Technique ◽  
Farm Size ◽  
Binary Logistic Regression Model ◽  
African Countries ◽  
North West ◽  
Climate Change Information ◽  
Farming Households

Climate change and rural livelihood capitals remain the major inextricable dimensions of sustainability in this twenty-first century globally. It is known to be an important challenge facing food security status among African countries. Additionally, it is an indisputable fact that climate change and agriculture are intertwined. In view of this, climate change awareness needs to be strengthened in the rural farming households. The study was carried out in Ngaka Modiri Molema District Municipality, in the North West Province of South Africa to determine awareness of climate change. Stratified random sampling technique was used to select three hundred and forty-six (346) farmers who were interviewed from the study area. Data were analyzed using statistical package for social sciences (SPSS). The binary logistic regression model was employed to analyse the factors driving climate change awareness. The study established that majority of the rural farmers in the study area aware of climate change, in which farm size, education, who owns the farm, information received on climate change, source of climate change information, climate change information through extension services, channel of information received on climate change and support received on climate change are statistically significant (p<0.05) determinants of climate change awareness in the study area.

Credit constraints and Rural Migration: Evidence from Six Villages in Uttar Pradesh

2018 ◽  
Vol 15 (3) ◽  
pp. 389-398
Author(s):  
Ruchi Singh
Keyword(s):  
Credit Constraints ◽  
Uttar Pradesh ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Male Migration ◽  
Rural Economies ◽  
And Migration ◽  
The Relationship ◽  
The Empirical Analysis

Rural economies in developing countries are often characterized by credit constraints. Although few attempts have been made to understand the trends and patterns of male out-migration from Uttar Pradesh (UP), there is dearth of literature on the linkage between credit accessibility and male migration in rural Uttar Pradesh. The present study tries to fill this gap. The objective of this study is to assess the role of credit accessibility in determining rural male migration. A primary survey of 370 households was conducted in six villages of Jaunpur district in Uttar Pradesh. Simple statistical tools and a binary logistic regression model were used for analyzing the data. The result of the empirical analysis shows that various sources of credit and accessibility to them play a very important role in male migration in rural Uttar Pradesh. The study also found that the relationship between credit constraints and migration varies across various social groups in UP.

Prevalence of facemask use among general public when visiting wet market during Covid-19 pandemic: An observational study. (Preprint)

2020 ◽  
Author(s):  
Gobi Hariyanayagam ◽  
Sera Selvanthan Sundram Gunasekaran ◽  
Shargunan Selvanthan Gunasekaran ◽  
Nur Syafina Insyirah Zaimi ◽  
Nor Amirah Abdul Halim
Keyword(s):  
High Risk ◽  
General Population ◽  
Binary Logistic Regression ◽  
Final Analysis ◽  
High Risk Population ◽  
Binary Logistic Regression Model ◽  
Chi Square ◽  
Hygiene Measures ◽  
Wet Market ◽  
Medical Grade

BACKGROUND In late December 2019, an outbreak of a novel coronavirus disease (COVID-19; previously known as 2019-nCoV) was epidemiologically linked to seafood and wet animal market in Wuhan, Hubei, China. This event has instigated negative stigma among the general population to view the wet market as a high-risk location for potential transmission of coronavirus. OBJECTIVE This study investigated the prevalence of facemask use among general population visiting the wet market as well as factors contributing to unacceptable facemask practice. Setting The visitors to a district wet market selling range of live or freshly slaughtered animals during COVID-19 pandemic outbreak was observed for facemask practice. METHODS All Individuals visiting the market were observed for the type, category and practice of wearing facemas. Subjects were categorized into two groups of acceptable and unacceptable facemask practice. The Pearson chi-square was used to test for differences in investigated variables in the univariate setting and Binary Logistic regression model was used in the multivariate setting. Main outcome measure Prevalence, acceptance practice and odds ratio of unacceptance of facemask use. RESULTS Among 1697 individuals included in the final analysis, 1687 (99.7%) was observed wearing facemask with 1338 (78.8%) using medical-grade facemask. Among them, 1615 (95.7%) individuals facemask practice was acceptable while the reaming 72 (4.3%) individuals were observed with unacceptable facemask practice. Individuals using medical-grade facemask and high-risk age group are 6.4 times (OR=6.40; 95% CI, 2.00-20.43; p=.002) and 2.06 times practice (OR=2.06; 95% CI, 1.08-3.94; p=.028) more likely to have unacceptable facemask practice respectively. CONCLUSIONS High saturation of facemask among the general population is an adequate indicator of public hygiene measures strategy which can help to mitigate the COVID-19 epidemic impact. Alarmingly, the unacceptable facemask practice among high-risk population raises the need for a targeted approach by healthcare authorities to ensure satisfactory facemask use.

Remedies in BRICS Countries

2018 ◽  
Author(s):  
Svetlana Avdasheva ◽  
Tatiana Radchenko
Keyword(s):  
South Africa ◽  
Division Of Labor ◽  
Market Performance ◽  
International Division ◽  
Negative Effects ◽  
Positive Effects ◽  
Managerial Decisions ◽  
Brics Countries ◽  
Target Company ◽  
Specific Position

Within the group of BRICS, China, Russia, and South Africa use conduct remedies more often than developed jurisdictions. Remedies are applied under merger approval or as an outcome of investigation of anticompetitive conducts. Effects of conduct remedies on companies’ decisions and market performance still need explanation. This chapter explains the use of conduct remedies, with special emphasis on Russia, by the specific position of BRICS in international division of labor, which allows the large companies, and first of all domestic ones, to discriminate customers in BRICS home markets, vis-à-vis international customers. Together with positive effects on domestic customers, competition economics predicts the possibility of negative effects of remedies on the managerial decisions within the target company. Under some circumstances, remedies may even weaken competition in the global product markets.

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