binary logit regression
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2021 ◽  
Vol 2021 ◽  
pp. 1-20
Author(s):  
Akililu Mulatu ◽  
Senapathy Marisennayya ◽  
Elias Bojago

Beekeeping is one of the livelihood options available to Ethiopian farmers. The objectives of this study were to analyze the level of adoption of modern hive technology by farmers and to identify the variables influencing the adoption of modern beekeeping hive technology in Kacha-Birra Woreda. Primary data were collected from 89 respondents chosen using a multistage sampling process, while qualitative data were collected through focus group discussion and key informant interviews. Data were analyzed using a binary logit regression model and descriptive statistics. According to the results of the model, several factors, such as the educational level of the respondents, the size of the land, the extension, the contact, and the access to financing and market, had a substantial impact on the adoption of modern hive beekeeping technology. It is suggested that the Livestock and Fish Resource Development office develops a strategy to help the community's illiterate members benefit more from the use of contemporary hive beekeeping technologies, develops a strategy to benefit farmers who have large land sizes with modern hive beekeeping technology, establishes extension contact with farmers before technology innovation leads to better adoption of technology, and strongly advises to link a strategy with micro-enterprises. Promotional activities focused on preventing the access to the market of respondents that must ensure their active participation in adoption.


2021 ◽  
Vol 15 (4) ◽  
pp. 1605-1618
Author(s):  
Jean-Marie S. Awo ◽  
Nouroudine Ollabodé ◽  
Jacob A. Yabi

Pour sécuriser les revenus agricoles des producteurs béninois, des mécanismes de financement sont mis en place dans la production d’anacarde. La présente étude identifie les déterminants de l’accès au financement par les producteurs d’anacarde. A cet elffet, des données socioéconomiques ont été collectées par enquête auprès de 160 producteurs de noix de cajou choisis aléatoirement dans deux communes du Nord-Bénin. La statistique descriptive a été utilisée pour caractériser les types de financement. Un modèle de régression Logit binaire a été estimé pour déterminer les variables influençant l’accès aux crédits par les producteurs d’anacarde. Les principaux résultats de cette étude indiquent trois types de financement sont obtenus par les producteurs d’anacarde et financés par divers acteurs. Le sexe, l'âge, l'appartenance à une organisation, les contacts avec les services de vulgarisation et la formation à la production d’anacarde déterminent l'accès au crédit agricole au nord du Bénin. Enfin, a promotion du financement agricole dans la zone d’étude permettra de réguler la capacité à introduire l’agroforesterie dans l’exploitation agricole dans le contexte d’amélioration des conditions de vie et la protection des sols.   English title: Determinants of access to agricultural credits by casnacard growers in north Benin In order to secure the agricultural income of producers in Benin, agricultural financing mechanisms have been put in place in cashew production. This study aimed at identifying the determinants of access to finance by cashew producers. To this end, socioeconomic data was collected through a survey of 160 cashew producers chosen at random from two municipalities in North Benin. Descriptive statistics were used to characterize the types of funding. A binary logit regression model was estimated to determine the variables influencing access to credit by cashew producers. The main results of this study indicate three types of financing obtained by cashew producers, which are financed by various actors. In addition, gender, age, membership of an organization, contacts with extension services and training in cashew production determine access to agricultural credit in northern Benin. Finally, the promotion of this financing in the study area will make it possible to regulate the capacity to introduce agroforestry on the farm, all of which contributes to the improvement of living conditions and soil protection.


2021 ◽  
Vol 9 (4) ◽  
pp. 343-352
Author(s):  
Hardiani Hardiani ◽  
Dwi Hastuti ◽  
Hasriati Nasution

Kampung Keluarga Berkualitas (Kampung KB) is one of the development programs to create quality families in Indonesia. Kampung KB is a village-level regional unit with integration and convergence in implementing empowerment and strengthening of family institutions in all its dimensions to improve the quality of human resources, families, and communities. The growth of Kampung KB in Jambi Province shows the high government's attention to this program to improve the quality of life of its people. However, the Kampung KB's success in improving the community's quality of life is largely determined by the level of community participation itself. This study analyzes the factors that influence community participation in the Kampung KB Program in Jambi Province. This study uses primary data obtained through target group respondents in Kampung KB in Jambi Province. Data were analyzed using descriptive statistics and a binary logit regression model. The study results found that the overall level of community participation in the Kampung KB Program was moderate. The level of community participation was significantly related to education, length of stay at the location, and distance from house to the place of activity.


Contention ◽  
2021 ◽  
pp. 1-19
Author(s):  
Randle J. Hart

Much has been made of the Millennial generation’s seemingly low rates of political participation. Some argue that this generation is politically apathetic, while others suggest that Millennials have eschewed traditional politics in favor of protest as a means of political participation. Drawing on Canada’s 2013 General Social Survey (Cycle 27, Social Identity), I employ an exploratory latent class analysis to determine whether the Millennial generation can be usefully categorized according to their participation in various forms of political, civic, and social movement activities. I then use binary logit regression to determine how well the biographical availability hypothesis explains Millennial politics. This research reveals that Canadian Millennials may be grouped into four categories: the politically unengaged, the politically expressive, the civically engaged, and activist. Support for the biographical availability hypothesis is mixed. As expected, students are more likely to be activists and parenthood reduces the odds of being politically expressive or an activist, but home ownership does not decrease the chances of Millennials being politically engaged and increases the chances of being civically engaged. Younger Millennials (ages 15–24) are much more likely to be politically unengaged compared to older Millennials (ages 25–34).


Author(s):  
F. O. Oyibo ◽  
Y. E. Ajibade ◽  
O. E. Haruna ◽  
S. D. Samuel

This study analyzed the pattern of fish consumption among Kogi State University students in Anyigba. It described the socio- economic characteristics of respondents, determine the effects of socio-economic characteristics on fish consumption, describe the types, forms, reasons for fish consumption and identify the constraints affecting fish consumption among the respondents. Multi-stage random sampling technique was used to select a sample size of 150 respondents. Well structured questionnaire coupled with interview scheduled were used to elicit primary data from the respondents. Descriptive statistics, binary logit regression and 3- point likert scale were used for data analyzing. The results showed that majority (60%) of the respondents were female, 72% were unmarried with an average household size of 3 persons and average income of N 20, 000 per month. Their sources of income were from parents and guardians. The result of the binary logit regression indicated that age (-1.21), income (0.99), price (-0.19), taste (0.65), health benefit (2.31) and price of substitute (0.68)  influenced the consumption of fish at 1%, 5% and 10% level of significant respectively. The types of fish consumed were majorly mackerel fish (45.33%), followed by tuna (27.34%). Iced fish were  mostly (40%) consumed, followed by 20.67% steamed fish and 7.33% were consumed in grilled form. 43.33% consumed  fish for health benefits, 24% consumed fish due to affordability and 14% consumed fish due to availability. Among the constraints facing fish consumption were allergy, proximity, storage and cost with mean score of 2.37, 2.16, 2.10, 2.36 and 2.38 respectively. Thus, fish and fish products were mostly consumed by the respondents with high consumption rate recorded by the female students. The prices of fish should be stabilized, adequate cold storage facilities should be purchased by the fish mongers and the university Fishery department should expand their ponds for efficient production.


2020 ◽  
Vol 23 (1) ◽  
pp. 173-188
Author(s):  
Suwinto Johan

This study seeks to investigate the factors that affect consumers’  use of financial technology in fulfilling their financial needs in the emerging market. The financial technology consists of payment gateway, peer to peer lending, online financial product offering, and financial literacy. The paper analyzes five major customers’ aspects, i.e., demography, psychography, banking literacy, technology awareness, and trust of regulatory that consist of 15 variables of customer responses. Those 15 variables explain individuals’ use of financial technology. The binary logit regression technique tests the research models. In the model, consumers’ acceptance (whether one will use financial technology) is operationalized by a dummy variable that equals one if the consumer accepts or is aware of the technology and zero otherwise. The total sample is 298 respondents. The respondents are mostly millennial generation (56 percent), university graduates (76 percent), individuals with the income level of B-Class and A-Class (67 percent), 95 percent of the respondents have bank accounts, and almost 99 percent of the respondents have social media accounts. The empirical results show that millennial-age customers with the income levels of B-Class and A-Class have the highest financial technology acceptance. Gender also influences the acceptance level of financial technology.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dongwoo Kim

PurposeThis study seeks to provide a systematic analysis of bounded rationality expressed by individual lenders in a Peer-to-peer (P2P) lending market.Design/methodology/approach26,383 personal loan listings collected from Moneyauction in Korea, were analyzed with binary logit regression. 6 hypothesis based on bounded rationality theory were constructed and tested. Binary logit regression was employed as both dependent variables have binary characteristics and can thus be assigned values equal to 0 or 1.FindingsThe results confirm that individual P2P lenders make their funding decisions based on bounded rationality, arousing from cognitive limitations, incomplete information, and time constraints.Research limitations/implicationsBy adopting the theory of bounded rationality, this study attempts to prepare the theoretical background for an explanation of the decision behavior of individual lenders in a P2P lending market.Practical implicationsThe findings of this research emphasize the importance of the platform provider's role to facilitate the sustainable market growth of P2P lending as an alternative form of finance. As the rationality of individual lenders is bounded during their decision-making process according to the research findings, the platform provider must continuously adjust their decision criteria by referencing the cumulative loan repayment data.Originality/valueThis study attempts to identify for the first time the suboptimal decision making by individual lenders in a P2P lending market on the basis of bounded rationality theory.


2020 ◽  
Vol 8 (1) ◽  
pp. 31-37
Author(s):  
Vina Astriani ◽  
Rani Nooraeni

Abstrak Pengangguran merupakan salah satu permasalahan kompleks yang dihadapi oleh setiap negara berkembang di dunia, termasuk Indonesia. Berdasarkan data resmi Badan Pusat Statistik (BPS), jumlah pengangguran di Indonesia sejak tahun 2015 sampai dengan tahun 2018 tidak pernah bernilai lebih sedikit dari 7 juta orang, di mana jumlah Tingkat Pengangguran Terbuka (TPT) lulusan perguruan tinggi masih termasuk tinggi. Penelitian ini bertujuan untuk mengetahui faktor-faktor yang memengaruhi pengangguran lulusan perguruan tinggi di Indonesia tahun 2018 dengan menggunakan analisis regresi logistik biner. Adapun determinan pengangguran lulusan perguruan tinggi adalah umur, status kawin dan status KRT berpengaruh signifikan dan negatif terhadap pengangguran lulusan perguruan tinggi. Sedangkan, jenis kelamin dan sektor pekerjaan berpengaruh signifikan dan positif terhadap pengangguran lulusan perguruan tinggi. Kata Kunci: Pengangguran, Lulusan perguruan tinggi, Regresi Logistik Biner.     Abstract Unemployment is one of the complex problems faced by every developing country in the world, including Indonesia. Based on official data from Statistics Indonesia (BPS), the number of unemployed people in Indonesia from 2015 to 2018 was never worth less than 7 million people, where the number of open unemployment rate (TPT) of college graduates is still high. This study aims to determine the factors that influence unemployment of tertiary education graduates in Indonesia in 2018 by using binary logistic regression analysis. The determinants of unemployment for college graduates are age, marital status and KRT status have a significant and negative effect on unemployment of college graduates. Meanwhile, gender and employment sector have a significant and positive effect on unemployment of college graduates. Keywords: Unemployment, College Graduates, Binary Logit Regression.      


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