scholarly journals Déterminants de l’accès aux crédits agricole par les producteurs d’anacarde au nord-Bénin

2021 ◽  
Vol 15 (4) ◽  
pp. 1605-1618
Author(s):  
Jean-Marie S. Awo ◽  
Nouroudine Ollabodé ◽  
Jacob A. Yabi
Keyword(s):  
Soil Protection ◽  
Agricultural Credit ◽  
Access To Credit ◽  
Agricultural Income ◽  
Logit Regression ◽  
Binary Logit ◽  
Socioeconomic Data ◽  
Logit Regression Model ◽  
And Training ◽  
Binary Logit Regression

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.

scholarly journals Community participation in the Kampung KB Program in Jambi Province

2021 ◽  
Vol 9 (4) ◽  
pp. 343-352
Author(s):  
Hardiani Hardiani ◽  
Dwi Hastuti ◽  
Hasriati Nasution
Keyword(s):  
Quality Of Life ◽  
Community Participation ◽  
Primary Data ◽  
Development Programs ◽  
Logit Regression ◽  
Study Results ◽  
Binary Logit ◽  
Logit Regression Model ◽  
Binary Logit Regression

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.

Design Location-Specific Advertising with Wireless Telecommunication Technology

2013 ◽  
Vol 760-762 ◽  
pp. 661-664
Author(s):  
Jiao Long Xue ◽  
Pin Jia Zou ◽  
Jue Wang ◽  
Zheng Fang
Keyword(s):  
Mobile Application ◽  
Development Stage ◽  
Mobile Advertising ◽  
Experiment Data ◽  
Logit Regression ◽  
Telecommunication Technology ◽  
Binary Logit ◽  
Wireless Telecommunication ◽  
Logit Regression Model ◽  
Binary Logit Regression

The heightened interest towards mobile advertising had resulted in the great concern among academic and industry circle. The literature of mobile advertising is accumulating. However, the stream of research is still in the development stage. Base on field experiment data, the developed binary logit regression model finds that distance, promotion and personalization could affect impact of advertising while using wireless telecommunication technology. The empirical results indicate that distance, promotion, personalization increase mobile application installation rate respectively, while only promotion increases mobile application installation rate.

scholarly journals STUDI TENTANG NIATAN MENETAP MIGRAN SIRKULER (KASUS MIGRAN SIRKULER ASAL WONOGIRI KE JAKARTA)

2017 ◽  
Vol 5 (2) ◽  
pp. 135
Author(s):  
Didit Purnomo ◽  
Chuzaimah Chuzaimah
Keyword(s):  
Regression Model ◽  
Primary Data ◽  
Correct Prediction ◽  
Logit Analysis ◽  
Binary Analysis ◽  
Logit Regression ◽  
Analysis Technique ◽  
Binary Logit ◽  
Logit Regression Model ◽  
Binary Logit Regression

This aim of the study will analyse factors that influenced intention the migration of the circular migrant. To achieve the aim, this study used the binary logit analysis technique of the Logistics, with made use of the primary data from 100 people who were made the respondent. This model tried to find the model that was best with four scenarios in testing the hypothesis. Results of the analysis showed that the scenario 4 was the best model. The factor that significantly influencedkeniatan resided the migration, he as follows: education (EDUC), and the income in the urban field (INCOME). Results of the prediction from the binary analysis logit the Respondent that said they stayed consistent to continue to become the circular migrant (did not reside) was relatively big, by chance him to reached 92.9%. On the whole the Binary Logit Regression model that was worn to explain factors that influenced niatan resided the circular migrant to this Jakarta had percentage of correct prediction as big as 78%. This at the same time explained that the behaviour the respondents in this research continue to tended as the circular migrant.

scholarly journals The Influences of Health Insurance and Access to Information on Prostate Cancer Screening among Men in Dominican Republic

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Joseph Kangmennaang ◽  
Isaac Luginaah
Keyword(s):  
Prostate Cancer ◽  
Health Insurance ◽  
Cancer Screening ◽  
Dominican Republic ◽  
Prostate Cancer Screening ◽  
Insurance Coverage ◽  
Health Insurance Coverage ◽  
Logit Regression ◽  
Binary Logit ◽  
Binary Logit Regression

Objectives.Although research demonstrates the public health burden of prostate cancer among men in the Caribbean, relatively little is known about the factors that underlie the low levels of testing for the disease among this population.Study Design.A cross-sectional study of prostate cancer testing behaviours among men aged 40–60 years in Dominican Republic using the Demographic and Health Survey (2013).Methods.We use hierarchical binary logit regression models and average treatment effects combined with propensity score matching to explore the determinants of prostate screening as well as the average effect of health insurance coverage on screening. The use of hierarchical binary logit regression enabled us to control for the effect of unobserved heterogeneity at the cluster level that may affect prostate cancer testing behaviours.Results.Screening varied significantly with health insurance coverage, knowledge of cholesterol level, education, and wealth. Insured men were more likely to test for prostate cancer (OR = 1.65,p=0.01) compared to the uninsured.Conclusions.The expansion and restructuring of Dominican Republic universal health insurance scheme to ensure equity in access may improve health access that would potentially impact positively on prostate cancer screening among men.

scholarly journals Factors Affecting Farm Succession and Occupational Choices of Nominated Farm Successors in Gilgit-Baltistan, Pakistan

Agriculture ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 1203
Author(s):  
Muhammad Abid Shahzad ◽  
Syed Abubakr ◽  
Christian Fischer
Keyword(s):  
Regression Model ◽  
Farm Size ◽  
Agricultural Activity ◽  
Infrastructure Development ◽  
Occupational Choices ◽  
Agricultural Income ◽  
Logit Regression ◽  
Part Time ◽  
Logit Regression Model ◽  
Gilgit Baltistan

Mountain farming communities in Pakistan are exhibiting an increased rate of rural-to-urban migration and a rapid growth in the non-farm sector, which has threatened the sustenance of agricultural activity. This study examined the determinants of farm succession using a logit regression model and employed a multinomial logit regression model to study the factors influencing the future occupational choices of the potential farm successors. The study was based on quantitative survey data obtained from 421 farm managers and 155 potential farm successors and qualitative data from 12 key informants from two different districts in Gilgit-Baltistan. The survey results show that around 67% of the farmers had a potential successor. Farm succession was mainly explained by farmer characteristics (e.g., farmer age, gender and education), farm characteristics (e.g., farm size, specialization in horticulture, etc.) and agricultural income. Regarding the occupational choices, part-time farming (66%) was the most commonly reported choice. The results indicate that it was mainly farm successors’ personal characteristics (such as age, education and marital status) and agricultural income that led to the choices “undecided” and “exit”, whilst farm characteristics (e.g., farm size) and the main farm operators’ non-farm activity were significantly associated with the choice “part-time”. Policies aimed at improving the local income situation and investments in skill-building and infrastructure development can assist in farm sustenance.

scholarly journals Analysis of Fish Consumption Pattern among Kogi State University Students, Anyigba, Kogi State, Nigeria

2020 ◽  
pp. 43-55
Author(s):  
F. O. Oyibo ◽  
Y. E. Ajibade ◽  
O. E. Haruna ◽  
S. D. Samuel
Keyword(s):  
University Students ◽  
Fish Consumption ◽  
Health Benefit ◽  
Primary Data ◽  
Consumption Pattern ◽  
Efficient Production ◽  
State University ◽  
Logit Regression ◽  
Binary Logit ◽  
Binary Logit Regression

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.

scholarly journals THE STRATEGIC RATIONAL OF BANKING ACQUISITION IN EMERGING MARKET

2018 ◽  
Vol 2 (1) ◽  
pp. 13-21
Author(s):  
Suwinto Johan
Keyword(s):  
Emerging Market ◽  
Current Ratio ◽  
Asset Return ◽  
Return On Equity ◽  
Logit Regression ◽  
Binary Logit ◽  
Asset Turnover ◽  
Equity Ratio ◽  
Regulated Industries ◽  
Binary Logit Regression

The purpose of the research is to study the determinants of banks acquisitions in Indonesia over the period of 2004-2014. The banking industry is one of the fastest growing and well regulated industries during the last ten years. We analyzed seven financial ratios (current ratio, asset turnover, debt to equity ratio, return on asset, return on equity, earning before tax per revenue and earning after tax per revenue) determinants banks take over. This research used the binary Logit regression technique. The empirical results show that the determinants of bank targeted for all types of takeover are the current ratio. The higher current ratio, the higher possiblity be the target acquisitions. there is no significantof debt to equity ratio, asset turnonver, return on asset, return on equity, earning before tax per revenue and earning after tax per revenue as the determinants of the acquisition of banks in Indonesia.

Estimation of Factors Affecting Job Migration in Vietnam

2020 ◽  
pp. 9-17
Keyword(s):  
Positive Impact ◽  
Living Standards ◽  
Key Factors ◽  
Negative Effects ◽  
Factors Affecting ◽  
Job Migration ◽  
Agricultural Income ◽  
Logit Regression ◽  
Logit Regression Model ◽  
Number Of Males

This study utilized the logit regression model with data from the Vietnamese Household Living Standards Survey (VHLSS) in 2016 to discover key factors that determined the probability of job migration in Vietnam. The estimated results of the model indicated that there were seven factors affecting job migration of households including the proportion of people with high school or higher qualification, the proportion of dependents, the number of males, the rate of income from non-agricultural fields, ethnics, areas and households’ living standards compared to the previous five years. In particular, the rate of non-agricultural income had a positive impact on households’ job migration, while other factors had negative effects on households’ job migration. Households’ accommodations and living standards had made great impacts on households whose family members working far away from home and even being helpers.

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